Research Activities
            

AIToC
Artificial Intelligence-supported Tool Chain in Manufacturing Engineering

Funded by:

Description
The goal is to develop an integrated toolchain for manufacturing engineering that supports decision-making in early phases. To achieve this, the toolchain will support the formalization and automated analysis of requirements and the computer aided generation of process plans and simulation models. In all these dimensions, artificial intelligence will be used for optimization and monitoring based on sensor data in the plant and synthetic data in a digital twin. The interoperability of engineering tools is also in focus and will be developed using standardized neutral data formats.

• Daimler Buses -EvoBus GmbH
• Ford Otosan
  
• German Research Centre for Artificial Intelligence
  
• TWT GmbH Science & Innovation GmbH
• Volvo Group

Duration
October 2020 to September 2023

More information
itea3.org

E2COMATION
Life-cycle optimization of industrial energy efficiency by a distributed control and decision-making automation platform 

Funded by:

Description
E2COMATION aims at providing a cross-sectorial methodological framework and a technological platform to monitor, predict and evaluate energy efficiency and life-cycle impact of the behavior of a factory, to adapt and optimize dynamically not only its real-time behavior over different time-scales, but also its strategic positioning with respect to the complex supply and value chains it belongs to.

• Consiglio Nazionale delle
• Ricerche 
• nxtControl – Schneider
• Electric 
• Synesis Scarl 
• Simplan AG 
• ACT Operations Research Ltd 
• SIGMAtools GmbH 
• KU Leuven 
• ThinkingAdditive Ltd 
• Athens Technology Center SA 
• AIDIMME Instituto Tecnologico 
• Scuola Universitaria Professionale
• Svizzera Italiana 
• OCME Srl 
• Mahou-San Miguel 
• Condis 
• Kastamonu Entegre A.S. 
• Royo Group 
• SCM Group 
  

Duration
November 2020 to October 2024

• Goal 7: Affordable and Clean Energy
  Target 7.2: Increase substantially the share of renewable energy in the global energy mix
  Target 7.3: Double the global rate of improvement in energy efficiency


• Goal 12: Ensure sustainable consumption and production patterns
  Target 12.4: Achieve the environmentally sound management of chemicals and all wastes throughout their life cycle, in accordance with agreed international frameworks, and significantly reduce their release to air, water and soil in order to minimize their adverse impacts on human health and the environment
  Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  Target 12.6: Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle

EuProGigant
Artificial intelligence for energy technologies and applications in production

Description
EuProGiant implements the Gaia-X architecture through a German-Austrian consortium. As the first industrial project with practical implementation of GAIA-X principles, data-driven value creation will be rolled out in production, increasing productivity, revenue and energy efficiency while reducing CO2 equivalents and production costs. A cross-site, digitally networked production system built for EuProGigant will form the basis for a data ecosystem.

• A1 Digital International GmbH (Austria)
• Brinkhaus GmbH
• Concircle Management Consulting GmbH
• craftworks GmbH (Austria)
• EIT-Manufacturing GmbH (Germany and Austria)
• Gebr. Heller Maschinenfabrik GmbH (Germany)
• IGH Infotec AG (Germany)
• Institute of Production Management, Technology and Machine Tools (PTW), TU Darmstadt (Germany)
• Pilot Factory of TU Wien (Austria)
• Plasser & Theurer, Export von Bahnbaumaschinen, Gesellschaft m.b.H. (Austria)
• Stark Spannsysteme GmbH (Austria)
• WFL Millturn Technologies GmbH & Co. KG (Austria)

Duration
March 2021 to February 2025

• Goal 8: Decent Work and Economic Growth
  Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectors


• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.1: Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all


• Goal 12: Responsible Consumption and Production
  Target 12.1: Implement the 10-year framework of programmes on sustainable consumption and production, all countries taking action, with developed countries taking the lead, taking into account the development and capabilities of developing countries

More information
euprogigant.com/en/
 

iECO
Intelligent Empowerment of Construction Industry

Description
The aim of iECO is to create a common data space for the construction industry based on Gaia-X and to use this to create a tamper-proof digital twin of the entire life cycle of a building. Thanks to the digital twin, data no longer has to be exchanged bilaterally and at great expense, but is available immediately and to everyone. On the one hand, this drastically reduces the companies' coordination costs, and on the other, it reduces the risk of important information being lost in the value chain.

• A1 Germany Digital GmbH
• Hof University of Applied Sciences
• Fraunhofer-Gesellschaft
• Implenia Germany GmbH
• LGA Landesgewerbeanstalt Bayern (German)
• LGA Landesgewerbeanstalt Bayern (Bavarian State Trade Institute)
• N+P Information Systems GmbH
• TU Dresden
• IPROconsult GmbH

Duration
December 2021 to November 2024

• Goal 8: “Decent Work and Economic Growth”
  Target 8.2: “This project aims to increase economic productivity through diversification, technological upgrades and innovation with a focus on high value-added and labor-intensive sectors.”
  Target 8.4: “Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10 Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the lead”
  

• Goal 9: „Industry, Innovation and Infrastructure“
  Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”

• Goal 12: „ Ensure sustainable consumption and production patterns”
  Target 12.4: “By 2020, achieve the environmentally sound management of chemicals and all wastes throughout their life cycle, in accordance with agreed international frameworks, and significantly reduce their release to air, water and soil in order to minimize their adverse impacts on human health and the environment”
  Target 12.5: “By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse”
  Target 12.6: “Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle”

More information
ieco-gaiax.de

IML4E
Industrial Machine Learning for Enterprises

Funded by:

Description
IML4E brings together companies from the main sectors of the European software industry to create a European framework for the development, operation and maintenance of AI-based software, ensuring the development of intelligent services and intelligent software at industrial scale. The project focuses on providing industry-ready techniques, methods and tools that are not currently
freely available through open source solutions.

• BasWare (Finland)
• Budapest University of Technology and Economics (Hungary)
• CGI (Finland)
• Fraunhofer FOKUS (Germany)
• Granlund Oy (Finland)
• Reaktor (Finland)
• Siemens (Germany)
• Silo AI (Finland)
• Spicetech (Germany)
• University of Debrecen (Hungary)
• University of Helsinki (Finland)
• Vitarex Studio Ltd (Hungary)

Duration
May 2021 to April 2024

More information
itea3.org

InnoSale
Innovating Sales and Planning of Complex Industrial Products Exploiting Artificial Intelligence

Description
InnoSale aims to innovate today’s sales systems and processes for complex and variable industrial equipment, plants and services that require time-consuming back-office support. InnoSale develops methods to increase the expressiveness of validation rules and to suggest relevant purchase options (case-based reasoning). Sales engineers will be supported in finding previous customer requests & orders and other suitable solutions quickly as well as identifying similarities between customers (evolutional clustering). User experience will be improved supported by combining deep learning systems with augmented reality techniques, 3D modelling and 3D printing.
InnoSale is one of the ITEA projects. ITEA is the Eureka R&D&I Cluster on software innovation, enabling a large international community of large industry, SMEs, start-ups, academia and customer organisations, to collaborate in funded projects that turn innovative ideas into new businesses, jobs, economic growth and benefits for society.

• ifak - Institut für Automation und Kommunikation e.V. (Koordinator des deutschen Teilprojektes)
• Demag Cranes & Components GmbH
• :em engineering methods AG
• IOTIQ GmbH
• Natif.ai
• tarakos GmbH
• Technische Universität Dresden

Duration
October 2021 to September 2024

• Goal 8: Decent Work and Economic Growth
• Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectors


• Goal 9: Industry, Innovation and Infrastructure
• Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities
• Target 9.5: Enhance scientific research, upgrade the technological capabilities of industrial sectors in all countries, in particular developing countries, including, by 2030, encouraging innovation and substantially increasing the number of research and development workers per 1 million people and public and private research and development spending


• Goal 17: Partnerships for the Goals
• Target 17.6: Enhance the Global Partnership for Sustainable Development, complemented by multi-stakeholder partnerships that mobilize and share knowledge, expertise, technology and financial resources, to support the achievement of the Sustainable Development Goals in all countries, in particular developing countries

More information
innosale.eu

KI4ETA
Artificial intelligence for energy technologies and applications in production          

Description
The goal is to use AI to narrow the so-called energy-efficiency gap—the difference between the energy savings that are technically possible in a factory and those that have already been realized in industry. To this end, an AI-based, scalable energy management platform is being developed on which the factory's machine, building and energy data are brought together. Automated with AI, measures for optimizing energy consumption are derived. 

• German Research Center for Artificial Intelligence (DFKI)
• Entega AG
  
• Robert Bosch GmbH
  
• Technical University of Darmstadt

Duration
June 2021 to May 2024

• Goal 7: Affordable and Clean Energy
  Target: 7.2: By 2030, increase substantially the share of renewable energy in the global energy mix
  Target 7.3: By 2030, double the global rate of improvement in energy efficiency

More information
ptw.tu-darmstadt.de/forschung_ptw/eta/aktuelle_projekte_eta/ki4eta/index.de.jsp

KLIPS
AI-based information platform for the localization and simulation of heat islands for innovative urban and traffic planning

Description
The aim of KLIPS is to develop a digital information platform for the localization, prognosis and simulation of heat islands. Thanks to swarm sensor technology and AI methods, the platform not only makes it possible to detect heat islands in urban areas, but also to predict their formation.

• German Aerospace Center (DLR)
• Pikobytes
• Fraunhofer Institute for Telecommunications,
• Heinrich Hertz Institute
• University of Applied Sciences Hof
• Leibniz Institute of Ecological
• Urban and Regional Development
• meggsimum
• City of Leipzig
• City of Langenfeld

• Goal 13: Climate Action
• Target 13.3: Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning

Duration
October 2020 to March 2024

More information
klips-projekt.de

KompAKI
Competence center for work and AI in the Rhein-Main area 

Funded by:

Description
KompAKI will open up new potentials for human-centered AI application and their business models, develop new approaches of cooperative AI with which users can use AI more transparently and easily, and develop new methods to evaluate work in AI-supported work systems. 

• Technical University of Darmstadt
• Hochschule Darmstadt – University of Applied Sciences
• Metaphacts GmbH
• Chamber of Commerce and Industry of
• Darmstadt GmbH
• Jakob Maul GmbH
• Serviceware SE
• Heller Machine Tools Ltd
• Simplan AG
• STAUFEN. Quality Engineers GmbH
• TRILUX GmbH & Co. KG
  
• WIKA Alexander Wiegand SE & Co. KG
  

Duration
October 2020 to September 2025

• UN Sustainable Development Goals
  Goal 8: Decent Work and Economic Growth
  Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectors

   

More information
kompaki.de

NARRATE
Regenerative Resilient Smart Manufacturing Networks

Funded by:

Description
NARRATE will develop a sophisticated tool using AI, Digital Twin, and IoT technologies allowing end-to-end visibility and control over supply chain operations to monitor and predict potential disruptions, enabling supply chains to achieve improved resilience. The Intelligent Manufacturing Custodian (IMC) will leverage data from various production sources to enable proactive decision-making and act as a nerve center for a supply-chain network, providing real-time monitoring and coordination of intelligent production processes and logistics.

• Budatec GmbH
• DHl Exel Supply Chain Spain Sl
• F6S Network Ireland Limited
• Fagama Investment Sociedad Limitada
• Fraunhofer Gesellschaft
• Institut National des Sciences Appliquees de Lyon
• Instituto Tecnologico Metalmecanico, Mueble, Madera, Embalaje y Afines-Aidimme
• Micuna Sl
• Middlesex University Higher Education Corporation
• Nunsys SA
• Scientific Academy for Service Technology
• Synesis-Societa Consortile A Responsabilita Limitata

Duration
December 2023 to November 2026

• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.1: Develop sustainable, resilient and inclusive infrastructures
  Target 9.2: Promote inclusive and sustainable industrialization
  Target 9.5: Enhance research and upgrade industrial technologies


• Goal 12: Ensure sustainable consumption and production patterns
  Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  Target 12.6: Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle


• Goal 13: Climate action
  Target 13.1: Strengthen resilience and adaptive capacity to climate related disasters

REIF
Resource-efficient, Economic and Intelligent Foodchain

Description
Objective is to reduce the waste of food in production and retail - for instant almost one third of all milk produced is lost in the value chain before it is bought by customers. To solve this huge economic but above all societal problem, REIF investigates the potential of Artificial Intelligence to optimize planning and controllability of the value chain. The core is the conception of an AI ecosystem that integrates stakeholders at all stages of the value chain.

• Fraunhofer Research Institution for Casting, Composite and Processing Technology IGCV
• Technical University of Munich - Chair of Brewing and Beverage
• Technology TUM School of Life Sciences Weihenstephan
• Collaborations Centre on Sustainable Consumption and Production
• Industrial Analytics IA GmbH
• Westfleisch SCE
• Kuchenmeister GmbH
• Hochland SE
• Tegut GmbH & Co. KG
  

Duration
February 2020 to June 2023 (implementation period)

• Goal 12: Responsible Consumption and Production
  Target 12.3: By 2030, halve per capita global food waste at the retail and consumer levels and reduce food losses along production and supply chains, including post-harvest losses

More information
ki-reif.de

REVAMP
Remanufacturing of variant-rich battery modules with automated assembly and testing processes

Description
The aim of REVAMP is to increase the utilization rate for second-live and second-use batteries in Germany through economical, automated and flexible remanufacturing. This involves the processes of dismantling the components of a battery pack down to the cell level, reprocessing them and reassembling them for various applications or reusing them individually.

• MAN Truck & Bus SE
• Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University
  
• Institute for Power Electronics and Electrical Drives (ISEA) of RWTH Aachen University
  
• Fraunhofer Institute for Production Technology (IPT)
• Bertrandt Technikum GmbH
  
• IBG Automation GmbH
  
• BE-Power GmbH
  
• Wacker Neuson Group
  

Duration
February 2023 bis January 2026

• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities
  
• Goal 12: Ensure sustainable consumption and production patterns
  Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  

SDI-S
Smart Data Innovation Services

Description
Smart Data Innovation Services are innovative AI research transfer services from top German research and the software industry that are offered directly to companies within the Smart Data Innovation Lab (SDIL). They can choose from a catalog of transfer services relating to current AI methods and infrastructure and thus drive their own innovations forward more quickly. The SDIL is an exchange and operating platform to accelerate cooperation between industry, the public sector and research in the field of AI, big data and smart data technologies.

• Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
• Forschungszentrum Jülich
• German Research Center for Artificial Intelligence
• IBM
• KIT Karlsruhe Institute of Technology
• SAP
• SICOS

Duration
January 2023 to December 2024

More information
sdil.de

SENATOR
Smart network operator for sustainable governance decision-making based on shared-connected freight delivery towards a better urban planning

Funded by:

The main objective of SENATOR project is to provide four governance schemes for urban planning policies: User demand planning, Transport planning, Freight & Logistics planning and City infrastructure focused, bringing together relevant stakeholders in urban freight logistics within one multi-collaborative framework based on a new urban logistics model to attend the requirements of the 'on demand economy'. Therefore, SENATOR develops a smart network operator supported on an ICT (Information and Communications Technology) platform for integrated logistics operation.

• Sociedad Estatal CORREOS y Telégrafos, S.A.
• Univ. de la Iglesia de DEUSTO Entidad Religiosa
• Ayuntamiento de ZARAGOZA
• Dublin City Council
• Câmara Municipal de Lisboa
• MDS Transmodal Ltd.
• RINA-C Consulting S.p.A.
• ZABALA Innovation Consulting S.A.
• DotGIS Corporation S.L.
• An Post
• University College Dublin
  

Duration
September 2020 to August 2024

• Goal 8: Decent Work and Economic Growth
  Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial services
  Target 8.8: Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employment

• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.1: Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all
  Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities)

• Goal 11: Sustainable Cities and Communities
  Target 11.3: Enhance inclusive and sustainable urbanization and capacity for participatory, integrated and sustainable human settlement planning and management in all countries
  Target 11.6: Reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management

• Goal 13: Climate Action
  Target 13.2: Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning

More information
senatorproject.eu

SmartDelta
Automated Quality Assurance and Optimization in Incremental Industrial Software Systems Development

Description
The goal of SmartDelta is to provide an automated solution for the quality evaluation and -improvement of software in continuous development processes. Through the development of machine-aided data analysis techniques, quality assurance activities are identified, controlled and evaluated, so that the entire process of quality assurance along the requirements of iterative development processes can be efficiently can be implemented and verified. The result of the project is a tool chain for the quality assurance of critical software in iterative development processes.

Smart Delta is one of the ITEA projects. ITEA is the Eureka R&D&I Cluster on software innovation, enabling a large international community of large industry, SMEs, start-ups, academia and customer organisations, to collaborate in funded projects that turn innovative ideas into new businesses, jobs, economic growth and benefits for society.

• AKKA Industry Consulting GmbH
• Fraunhofer Institute for Open Communication Systems (Fokus)
• TWT GmbH Science & Innovation Institut
• Institute for Automation and Communication (IFAK)

Duration
October 2021 to September 2024

More information
smartdelta.org

ZDMP
Zero Defects Manufacturing Platform

Funded by:

Description
Development of a platform for the control and improvement of the “Zero Defects” product and process quality in the Industry 4.0 field for manufacturers. The ZDMP platform will combine state-of-the-art technology approaches based on commercial software or robust open source platforms with innovative integration concepts.

Partners
The consortium consists of 30 partners, including companies supplying ICT solutions, suppliers of solutions in the manufacturing sector, industrial partners in the automotive, industrial machinery, electronic and construction, as well as universities and research institutes and the German institute for DIN standardization.

Duration
January 2019 to June 2023

More information
zdmp.eu

ZDZW
Non-Destructive Inspection Services for Digitally Enhanced Zero Waste Manufacturing

Supported by

Description
ZDZW will develop digital non-destructive inspection services (NDIS) as a set of strategic technologies to improve production efficiency, zero-defect, and sustainable manufacturing of European industries. ZDZW Inspection Solutions are offered in suites covering product integrity assessment, visual and geometric properties inspection, and thermal processes monitoring and control.

Partners
The project has 27 partners in total, including:
Ikerlan
Siemens
Arçelik
Lithoz
DIN
Fraunhofer IGD

Duration
September 2022 to August 2025

• Goal 12: Responsible Consumption and Production
  Target: 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse

More information
zdzw-project.eu

BauPuls360
Public service platform for the SME construction industry: Development and implementation of IT, data governance and low-threshold interaction structures for the servitized value creation and digital transformation of construction SMEs

Funded by:

Description
The aim of the research project is to develop an open, neutral digital platform with associated governance mechanisms. The trustworthy software services offered there will improve communication and collaboration on construction sites and thus activate the potential of flexible value-added partnerships in the SME-dominated construction industry. This is achieved through low-threshold software functions that are made available as easy-to-use services.

• flexis AG
• GemeinWerk Ventures GmbH
• Hof University of Applied Sciences
• LGA Landesgewerbeanstalt Bayern (Bavarian State Trade Institute)
• N+P Information Systems GmbH
• SOFTTECH AG
• syniotec GmbH
• Technical University of Munich
• Weisenburger Bau GmbH

Duration
January 2024 to December 2026

DIONE-X
Representation of a GAIA-X-compliant value network in the Industry 4.0 data space for machining production

Funded by:

Description
The project aims to illustrate the potential of open data exchange in accordance with GAIA-X standards and guidelines, particularly with regard to data sovereignty, for machining production and to transfer this into transferable IT solutions. This is to be tested and prototypically implemented in three use cases by an interdisciplinary project consortium at various users representative of a value network in the machining industry in the Industry 4.0 data space.

• A1 Digital Deutschland GmbH
• Berger Holding GmbH & Co KG
• DMG Mori AG
• Gühring KG
• Institute for Innovative Automotive Drives (IFA), University of Applied Sciences Kempen
• KWS Kölle GmbH
• Munsch Chemie-Pumpen GmbH
• pro-micron GmbH
• PTW, TU Darmstadt
• Schubert Fertigungstechnik GmbH

Duration
October 2022 to September 2024

More information
dione-x.de/en/

DS2
Data Space Data Share

Description
DS2 envisions the creation of Europe's first modular infrastructure for connecting diverse industry dataspaces. Focusing on urban planning, precision agriculture, and air pollution sectors, the project aims to develop and test an Inter-sectoral Toolkit with common standards and tools for dataspace federation.

• A1 Germany Digital GmbH
• Asociatia Transilvania It
• Athens Technology Center
• Crownest
• Data Analytics For Industries 4 0 Sl
• Digiotouch Ou
• Ibm - Science And Technology
• Indra Soluciones Tecnologias De La Informacion
• Information Catalyst
• Inovacijsko Tehnoloski Grozd Murska Sobota
• Intu-View
• Mestna Obcina Murska Sobota
• Municipiul Cluj-Napoca
• Panepistimio Thessalias
• Teknologian Tutkimuskeskus Vtt Oy
• University Of Southampton
• 21c Consultancy

Duration
January 2024 to December 2026

More information
www.dataspace2.eu

EuProGigant
Artificial intelligence for energy technologies and applications in production

Description
EuProGiant implements the Gaia-X architecture through a German-Austrian consortium. As the first industrial project with practical implementation of GAIA-X principles, data-driven value creation will be rolled out in production, increasing productivity, revenue and energy efficiency while reducing CO2 equivalents and production costs. A cross-site, digitally networked production system built for EuProGigant will form the basis for a data ecosystem.

• A1 Digital International GmbH (Austria)
• Brinkhaus GmbH
• Concircle Management Consulting GmbH
• craftworks GmbH (Austria)
• EIT-Manufacturing GmbH (Germany and Austria)
• Gebr. Heller Maschinenfabrik GmbH (Germany)
• IGH Infotec AG (Germany)
• Institute of Production Management, Technology and Machine Tools (PTW), TU Darmstadt (Germany)
• Pilot Factory of TU Wien (Austria)
• Plasser & Theurer, Export von Bahnbaumaschinen, Gesellschaft m.b.H. (Austria)
• Stark Spannsysteme GmbH (Austria)
• WFL Millturn Technologies GmbH & Co. KG (Austria)

Duration
March 2021 to February 2025

• Goal 8: Decent Work and Economic Growth
  Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectors


• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.1: Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all


• Goal 12: Responsible Consumption and Production
  Target 12.1: Implement the 10-year framework of programmes on sustainable consumption and production, all countries taking action, with developed countries taking the lead, taking into account the development and capabilities of developing countries

More information
euprogigant.com
 

Factory-X
Building a data space for the equipment industry - the suppliers of factories worldwide

Description
The aim of the project is to develop a federated data space for manufacturing companies and production equipment suppliers and to successfully implement it. The federated data space is intended to enable the secure exchange of data between different players in production and thus promote digitalization and artificial intelligence in production.

The consortium consists of 47 partners and 10 associated partners.

Duration
February 2024 to June 2026

UN Sustainable Development Goals
• Goal 7: Affordable and clean energy
  Target 7.3: By 2030, double the global rate of improvement in energy efficiency.


• Goal 8: Decent work and economic growth
  Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the lead.


• Goal 9: Industry, innovation and infrastructure
  Target 9.4: By 2030, upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities.


• Goal 12: Responsible consumption and production
  Target 12.5: By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse.
  Target 12.6: Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle.

Gaia-X 4 AMS
Gaia-X 4 Advanced Mobility Services

Description
The goal of the GAIA-X 4 AMS project is to implement innovative, safety-critical mobility applications based on the concepts and technologies of Gaia-X. The aim is to explore a future federated ecosystem of services for highly connected vehicles. The focus is on two use cases: the first one is the networking and cooperation of automated vehicles with the surrounding overall traffic system and the second one deals with advancing emergency services with the opportunities provided by a highly connected traffic system. By networking various relevant actors and establishing a secure and federated data and service ecosystem, the aim is to increase traffic safety as well as the efficiency and transparency of the traffic system.

Partners
The project has 19 partners in total, including:

• German Aerospace Center (DLR)
• T-Systems
  
• Fraunhofer-Gesellschaft
• Altran (Capgemini Engineering)
• Continental
  
• Peregrine
• Central Office for Information Technology in the Security Sector (ZITiS)

Duration
December 2021 to November 2024

iECO
Intelligent Empowerment of Construction Industry

Description
The aim of iECO is to create a common data space for the construction industry based on Gaia-X and to use this to create a tamper-proof digital twin of the entire life cycle of a building. Thanks to the digital twin, data no longer has to be exchanged bilaterally and at great expense, but is available immediately and to everyone. On the one hand, this drastically reduces the companies' coordination costs, and on the other, it reduces the risk of important information being lost in the value chain.

• A1 Germany Digital GmbH
• Hof University of Applied Sciences
• Fraunhofer-Gesellschaft
• Implenia Germany GmbH
• LGA Landesgewerbeanstalt Bayern (German)
• LGA Landesgewerbeanstalt Bayern (Bavarian State Trade Institute)
• N+P Information Systems GmbH
• TU Dresden
• IPROconsult GmbH

Duration
December 2021 to November 2024

• Goal 8: “Decent Work and Economic Growth”
  Target 8.2: “This project aims to increase economic productivity through diversification, technological upgrades and innovation with a focus on high value-added and labor-intensive sectors.”
  Target 8.4: “Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10 Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the lead”
  
  
• Goal 9: „Industry, Innovation and Infrastructure“
  Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”
  
  
• Goal 12: „ Ensure sustainable consumption and production patterns”
  Target 12.4: “By 2020, achieve the environmentally sound management of chemicals and all wastes throughout their life cycle, in accordance with agreed international frameworks, and significantly reduce their release to air, water and soil in order to minimize their adverse impacts on human health and the environment”
  Target 12.5: “By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse”
  Target 12.6: “Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle”

More information
ieco-gaiax.de

AIToC
Artificial Intelligence-supported Tool Chain in Manufacturing Engineering

Funded by:

Description
The goal is to develop an integrated toolchain for manufacturing engineering that supports decision-making in early phases. To achieve this, the toolchain will support the formalization and automated analysis of requirements and the computer aided generation of process plans and simulation models. In all these dimensions, artificial intelligence will be used for optimization and monitoring based on sensor data in the plant and synthetic data in a digital twin. The interoperability of engineering tools is also in focus and will be developed using standardized neutral data formats.

• Daimler Buses -EvoBus GmbH
• Ford Otosan
  
• German Research Centre for Artificial Intelligence
  
• TWT GmbH Science & Innovation GmbH
• Volvo Group
  

Duration
October 2020 to September 2023

More information
itea3.org

CliCE-DiPP
Climate-neutral Circular Economy enabled by Digital Product Carbon Pass

Description
The aim of CliCE-DiPP is to develop a digital CO2 product passport that contains all relevant sustainability and energy data across companies, using the metal industry as an example. The digital product passport should not only provide information about the respective product-specific CO2 footprint (PCF), but also make it possible to optimize the production process from the point of view of energy and resource consumption - throughout the entire value chain.

• ABM-Mess Service GmbH
• Festo SE & Co.KG
• University of Applied Sciences Hof
• Karlsruhe Institute of Technology – wbk Institute of Production Science
• Lorenz GmbH & Co.KG
• Protektorwerk Florenz Maisch GmbH & Co. KG,
• Technical University of Darmstadt, Institute for Production Management, Technology and Machine Tools (PTW)

Duration
May 2023 bis April 2026

• Goal 9: Industry, Innovation and Infrastructure
  Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities
  
  
• Goal 13: Climate Action
  Target 13.3: Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning
  

More information
clice-dipp.de

DESPRIMA
Demand side and production management for beverage bottling processes

Description
DESPRIMA enables beverage bottling industries to adapt their energy consumption flexibly according to the varying energy availability and thus reduce energy costs. Therefore DESPRIMA will develop an intelligent energy management system by connecting sensors and actors of the bottling machinery to a digital platform.

• SWW Wunsiedel GmbH (public utility)
• Brandenburger Urstromquelle GmbH
• Dresden Elektronik
• Fraunhofer Institute for Technical and Industrial Mathematics
• Technical University of Kaiserslautern
• University of Bremen
  

Duration
July 2019 to March 2023

• Goal 7: Affordable and Clean Energy
  Target 7.2: Increase substantially the share of renewable energy in the global energy mix
  Target 7.3: Double the global rate of improvement in energy efficiency

DIONE-X
Representation of a GAIA-X-compliant value network in the Industry 4.0 data space for machining production

Funded by:

Description
The project aims to illustrate the potential of open data exchange in accordance with GAIA-X standards and guidelines, particularly with regard to data sovereignty, for machining production and to transfer this into transferable IT solutions. This is to be tested and prototypically implemented in three use cases by an interdisciplinary project consortium at various users representative of a value network in the machining industry in the Industry 4.0 data space.

• A1 Digital Deutschland GmbH
• Berger Holding GmbH & Co KG
• DMG Mori AG
• Gühring KG
• Institute for Innovative Automotive Drives (IFA), University of Applied Sciences Kempen
• KWS Kölle GmbH
• Munsch Chemie-Pumpen GmbH
• pro-micron GmbH
• PTW, TU Darmstadt
• Schubert Fertigungstechnik GmbH

Duration
October 2022 to September 2024

More information
dione-x.de/en/

DM4AR
Datamanagement for Augmented Reality

Funded by:

Description
The aim of the project is to promote the widespread use of the Augmented Reality (AR) technology in technical services. For this purpose, an AR content generator for the automated generation of AR content as well as incentive systems and reference processes for the integrated capture of implicit knowledge will be developed.

• FIR e. V. Aachen
• YNCORIS GmbH & Co. KG
• oculavis GmbH
• Top Mehrwert Logistik GmbH & Co. KG
• thyssenkrupp Industrial Solutions AG
  

Factory-X
Building a data space for the equipment industry - the suppliers of factories worldwide

Description
The aim of the project is to develop a federated data space for manufacturing companies and production equipment suppliers and to successfully implement it. The federated data space is intended to enable the secure exchange of data between different players in production and thus promote digitalization and artificial intelligence in production.

The consortium consists of 47 partners and 10 associated partners.

Duration
February 2024 to June 2026

UN Sustainable Development Goals
• Goal 7: Affordable and clean energy
  Target 7.3: By 2030, double the global rate of improvement in energy efficiency.


• Goal 8: Decent work and economic growth
  Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the lead.


• Goal 9: Industry, innovation and infrastructure
  Target 9.4: By 2030, upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities.


• Goal 12: Responsible consumption and production
  Target 12.5: By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse.
  Target 12.6: Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle.

REVAMP
Remanufacturing of variant-rich battery modules with automated assembly and testing processes

Description
The aim of REVAMP is to increase the utilization rate for second-live and second-use batteries in Germany through economical, automated and flexible remanufacturing. This involves the processes of dismantling the components of a battery pack down to the cell level, reprocessing them and reassembling them for various applications or reusing them individually.

• MAN Truck & Bus SE
• Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University
  
• Institute for Power Electronics and Electrical Drives (ISEA) of RWTH Aachen University
  
• Fraunhofer Institute for Production Technology (IPT)
• Bertrandt Technikum GmbH
  
• IBG Automation GmbH
  
• BE-Power GmbH
  
• Wacker Neuson Group
  

Duration
February 2023 bis January 2026

• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities
  
• Goal 12: Ensure sustainable consumption and production patterns
  Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  

SynErgie 3
Synchronized and energy-adaptive manufacturing engineering for flexible alignment to a fluctuating energy supply

Funded by:

Description
SynErgie will demonstrate how energy-intensive production processes can be adjusted to a volatile energy supply. The project is developing a synchronization platform that steers and monitors energy distribution within the production system and responds to flexibility requirements within the power system in a highly dynamic manner. The focus of the third funding phase is on generalizing, standardizing and validating the solutions developed in the first and second funding phases and to further enhance the integration capabilities of the SynErgie technology stack.

• The consortium consists of more than 80 partners from research, industry, and civil society.
  

• Goal 7: “Affordable and Clean Energy”
  Target 7.2: “Increase substantially the share of renewable energy in the global energy mix”
  

• Goal 8: “Decent Work and Economic Growth”
  Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed

• Goal 9: “Industry, Innovation, and Infrastructure” 
  Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”

ZDMP
Zero Defects Manufacturing Platform

Funded by:

Description
Development of a platform for the control and improvement of the “Zero Defects” product and process quality in the Industry 4.0 field for manufacturers. The ZDMP platform will combine state-of-the-art technology approaches based on commercial software or robust open source platforms with innovative integration concepts.

Partners
The consortium consists of 30 partners, including companies supplying ICT solutions, suppliers of solutions in the manufacturing sector, industrial partners in the automotive, industrial machinery, electronic and construction, as well as universities and research institutes and the German institute for DIN standardization.

Duration
January 2019 to June 2023

More information
zdmp.eu

ZDZW
Non-Destructive Inspection Services for Digitally Enhanced Zero Waste Manufacturing

Supported by

Description
ZDZW will develop digital non-destructive inspection services (NDIS) as a set of strategic technologies to improve production efficiency, zero-defect, and sustainable manufacturing of European industries. ZDZW Inspection Solutions are offered in suites covering product integrity assessment, visual and geometric properties inspection, and thermal processes monitoring and control.

Partners
The project has 27 partners in total, including:
Ikerlan
Siemens
Arçelik
Lithoz
DIN
Fraunhofer IGD

Duration
September 2022 to August 2025

• Goal 12: Responsible Consumption and Production
  Target: 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse

More information
zdzw-project.eu

DESPRIMA
Demand side and production management for beverage bottling processes

Description
DESPRIMA enables beverage bottling industries to adapt their energy consumption flexibly according to the varying energy availability and thus reduce energy costs. Therefore DESPRIMA will develop an intelligent energy management system by connecting sensors and actors of the bottling machinery to a digital platform.

• SWW Wunsiedel GmbH (public utility)
• Brandenburger Urstromquelle GmbH
• Dresden Elektronik
• Fraunhofer Institute for Technical and Industrial Mathematics
• Technical University of Kaiserslautern
• University of Bremen
  

Duration
July 2019 to March 2023

• Goal 7: Affordable and Clean Energy
  Target 7.2: Increase substantially the share of renewable energy in the global energy mix
  Target 7.3: Double the global rate of improvement in energy efficiency

DIONE-X
Representation of a GAIA-X-compliant value network in the Industry 4.0 data space for machining production

Funded by:

Description
The project aims to illustrate the potential of open data exchange in accordance with GAIA-X standards and guidelines, particularly with regard to data sovereignty, for machining production and to transfer this into transferable IT solutions. This is to be tested and prototypically implemented in three use cases by an interdisciplinary project consortium at various users representative of a value network in the machining industry in the Industry 4.0 data space.

• A1 Digital Deutschland GmbH
• Berger Holding GmbH & Co KG
• DMG Mori AG
• Gühring KG
• Institute for Innovative Automotive Drives (IFA), University of Applied Sciences Kempen
• KWS Kölle GmbH
• Munsch Chemie-Pumpen GmbH
• pro-micron GmbH
• PTW, TU Darmstadt
• Schubert Fertigungstechnik GmbH

Duration
October 2022 to September 2024

More information
dione-x.de/en/

EuProGigant
Artificial intelligence for energy technologies and applications in production

Description
EuProGiant implements the Gaia-X architecture through a German-Austrian consortium. As the first industrial project with practical implementation of GAIA-X principles, data-driven value creation will be rolled out in production, increasing productivity, revenue and energy efficiency while reducing CO2 equivalents and production costs. A cross-site, digitally networked production system built for EuProGigant will form the basis for a data ecosystem.

• A1 Digital International GmbH (Austria)
• Brinkhaus GmbH
• Concircle Management Consulting GmbH
• craftworks GmbH (Austria)
• EIT-Manufacturing GmbH (Germany and Austria)
• Gebr. Heller Maschinenfabrik GmbH (Germany)
• IGH Infotec AG (Germany)
• Institute of Production Management, Technology and Machine Tools (PTW), TU Darmstadt (Germany)
• Pilot Factory of TU Wien (Austria)
• Plasser & Theurer, Export von Bahnbaumaschinen, Gesellschaft m.b.H. (Austria)
• Stark Spannsysteme GmbH (Austria)
• WFL Millturn Technologies GmbH & Co. KG (Austria)

Duration
March 2021 to February 2025

• Goal 8: Decent Work and Economic Growth
  Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectors


• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.1: Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all


• Goal 12: Responsible Consumption and Production
  Target 12.1: Implement the 10-year framework of programmes on sustainable consumption and production, all countries taking action, with developed countries taking the lead, taking into account the development and capabilities of developing countries

More information
euprogigant.com/en/
 

iECO
Intelligent Empowerment of Construction Industry

Description
The aim of iECO is to create a common data space for the construction industry based on Gaia-X and to use this to create a tamper-proof digital twin of the entire life cycle of a building. Thanks to the digital twin, data no longer has to be exchanged bilaterally and at great expense, but is available immediately and to everyone. On the one hand, this drastically reduces the companies' coordination costs, and on the other, it reduces the risk of important information being lost in the value chain.

• A1 Germany Digital GmbH
• Hof University of Applied Sciences
• Fraunhofer-Gesellschaft
• Implenia Germany GmbH
• LGA Landesgewerbeanstalt Bayern (German)
• LGA Landesgewerbeanstalt Bayern (Bavarian State Trade Institute)
• N+P Information Systems GmbH
• TU Dresden
• IPROconsult GmbH

December 2021 to November 2024

Goal 8: “Decent Work and Economic Growth”

• Target 8.2: “This project aims to increase economic productivity through diversification, technological upgrades and innovation with a focus on high value-added and labor-intensive sectors.”
• Target 8.4: “Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10 Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the lead”

Goal 9: „Industry, Innovation and Infrastructure“

• Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”

Goal 12: „ Ensure sustainable consumption and production patterns”

• Target 12.4: “By 2020, achieve the environmentally sound management of chemicals and all wastes throughout their life cycle, in accordance with agreed international frameworks, and significantly reduce their release to air, water and soil in order to minimize their adverse impacts on human health and the environment”
• Target 12.5: “By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse”
• Target 12.6: “Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle”

More information
ieco-gaiax.de

NARRATE
Regenerative Resilient Smart Manufacturing Networks

Funded by:

Description
NARRATE will develop a sophisticated tool using AI, Digital Twin, and IoT technologies allowing end-to-end visibility and control over supply chain operations to monitor and predict potential disruptions, enabling supply chains to achieve improved resilience. The Intelligent Manufacturing Custodian (IMC) will leverage data from various production sources to enable proactive decision-making and act as a nerve center for a supply-chain network, providing real-time monitoring and coordination of intelligent production processes and logistics.

• Budatec GmbH
• DHl Exel Supply Chain Spain Sl
• F6S Network Ireland Limited
• Fagama Investment Sociedad Limitada
• Fraunhofer Gesellschaft
• Institut National des Sciences Appliquees de Lyon
• Instituto Tecnologico Metalmecanico, Mueble, Madera, Embalaje y Afines-Aidimme
• Micuna Sl
• Middlesex University Higher Education Corporation
• Nunsys SA
• Scientific Academy for Service Technology
• Synesis-Societa Consortile A Responsabilita Limitata

Duration
December 2023 to November 2026

• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.1: Develop sustainable, resilient and inclusive infrastructures
  Target 9.2: Promote inclusive and sustainable industrialization
  Target 9.5: Enhance research and upgrade industrial technologies


• Goal 12: Ensure sustainable consumption and production patterns
  Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  Target 12.6: Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle


• Goal 13: Climate action
  Target 13.1: Strengthen resilience and adaptive capacity to climate related disasters

SENATOR
Smart network operator for sustainable governance decision-making based on shared-connected freight delivery towards a better urban planning

Funded by:

The main objective of SENATOR project is to provide four governance schemes for urban planning policies: User demand planning, Transport planning, Freight & Logistics planning and City infrastructure focused, bringing together relevant stakeholders in urban freight logistics within one multi-collaborative framework based on a new urban logistics model to attend the requirements of the 'on demand economy'. Therefore, SENATOR develops a smart network operator supported on an ICT (Information and Communications Technology) platform for integrated logistics operation.

• Sociedad Estatal CORREOS y Telégrafos, S.A.
• Univ. de la Iglesia de DEUSTO Entidad Religiosa
• Ayuntamiento de ZARAGOZA
• Dublin City Council
• Câmara Municipal de Lisboa
• MDS Transmodal Ltd.
• RINA-C Consulting S.p.A.
• ZABALA Innovation Consulting S.A.
• DotGIS Corporation S.L.
• An Post
• University College Dublin
  

Duration
September 2020 to August 2024

• Goal 8: Decent Work and Economic Growth
• Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial services
• Target 8.8: Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employment
  


• Goal 9: Industry, Innovation, and Infrastructure
• Target 9.1: Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all
• Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities)
  


• Goal 11: Sustainable Cities and Communities
• Target 11.3: Enhance inclusive and sustainable urbanization and capacity for participatory, integrated and sustainable human settlement planning and management in all countries
• Target 11.6: Reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management
  


• Goal 13: Climate Action
• Target 13.2: Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning

More information
senatorproject.eu

VersiPack
Versatile and self-organizing system for user-specific beverage packaging

Description
The aim of the overall project is to create a novel, versatile line concept for beverage filling. "As-a-Service" should it enable even smaller beverage bottlers to use fully automated packaging lines. At present, this is not economical for them due to their relatively low output. At the heart of VersiPack is a digital platform that handles the entire process in a (partially) automated way, from ordering the packaging service and the customized configuration of the packaging line to its delivery and deployment.

• Technical University of Munich, Chair of Brewing and Beverage Technology
• Fraunhofer Institute for Casting, Composite and Processing Technology IGCV
• Weber Marking System GmbH
• Schneider Weisse G. Schneider & Sohn GmbH
• Trans tech Weisser GmbH
• Urban Chestnut Brewing Co Deutschland GmbH

Duration
August 2021 to September 2024

KLIPS
AI-based information platform for the localization and simulation of heat islands for innovative urban and traffic planning

Description
The aim of KLIPS is to develop a digital information platform for the localization, prognosis and simulation of heat islands. Thanks to swarm sensor technology and AI methods, the platform not only makes it possible to detect heat islands in urban areas, but also to predict their formation.

• German Aerospace Center (DLR)
• Pikobytes
• Fraunhofer Institute for Telecommunications,
• Heinrich Hertz Institute
• University of Applied Sciences Hof
• Leibniz Institute of Ecological
• Urban and Regional Development
• meggsimum
• City of Leipzig
• City of Langenfeld

Duration
October 2020 to March 2024

• Goal 13: Climate Action
  Target 13.3: Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning

More information
klips-projekt.de

SENATOR
Smart network operator for sustainable governance decision-making based on shared-connected freight delivery towards a better urban planning

Funded by:

The main objective of SENATOR project is to provide four governance schemes for urban planning policies: User demand planning, Transport planning, Freight & Logistics planning and City infrastructure focused, bringing together relevant stakeholders in urban freight logistics within one multi-collaborative framework based on a new urban logistics model to attend the requirements of the 'on demand economy'. Therefore, SENATOR develops a smart network operator supported on an ICT (Information and Communications Technology) platform for integrated logistics operation.

• Sociedad Estatal CORREOS y Telégrafos, S.A.
• Univ. de la Iglesia de DEUSTO Entidad Religiosa
• Ayuntamiento de ZARAGOZA
• Dublin City Council
• Câmara Municipal de Lisboa
• MDS Transmodal Ltd.
• RINA-C Consulting S.p.A.
• ZABALA Innovation Consulting S.A.
• DotGIS Corporation S.L.
• An Post
• University College Dublin
  

Duration
September 2020 to August 2024

• Goal 8: Decent Work and Economic Growth
  Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial services
  Target 8.8: Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employment
  

• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.1: Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all
  Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities)

• Goal 11: Sustainable Cities and Communities
  Target 11.3: Enhance inclusive and sustainable urbanization and capacity for participatory, integrated and sustainable human settlement planning and management in all countries
  Target 11.6: Reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management
  

• Goal 13: Climate Action
  Target 13.2: Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning

More information
senatorproject.eu

DESPRIMA
Demand side and production management for beverage bottling processes

Description
DESPRIMA enables beverage bottling industries to adapt their energy consumption flexibly according to the varying energy availability and thus reduce energy costs. Therefore DESPRIMA will develop an intelligent energy management system by connecting sensors and actors of the bottling machinery to a digital platform.

• SWW Wunsiedel GmbH (public utility)
• Brandenburger Urstromquelle GmbH
• Dresden Elektronik
• Fraunhofer Institute for Technical and Industrial Mathematics
• Technical University of Kaiserslautern
• University of Bremen
  

• Goal 7:“Affordable and Clean Energy”
  Target 7.2: “Increase substantially the share of renewable energy in the global energy mix” and target 7.3 “Double the global rate of improvement in energy efficiency”

E2COMATION
Life-cycle optimization of industrial energy efficiency by a distributed control and decision-making automation platform 

Funded by:

Description
E2COMATION aims at providing a cross-sectorial methodological framework and a technological platform to monitor, predict and evaluate energy efficiency and life-cycle impact of the behavior of a factory, to adapt and optimize dynamically not only its real-time behavior over different time-scales, but also its strategic positioning with respect to the complex supply and value chains it belongs to.

• Consiglio Nazionale delle
• Ricerche 
• nxtControl – Schneider
• Electric 
• Synesis Scarl 
• Simplan AG 
• ACT Operations Research Ltd 
• SIGMAtools GmbH 
• KU Leuven 
• ThinkingAdditive Ltd 
• Athens Technology Center SA 
• AIDIMME Instituto Tecnologico 
• Scuola Universitaria Professionale
• Svizzera Italiana 
• OCME Srl 
• Mahou-San Miguel 
• Condis 
• Kastamonu Entegre A.S. 
• Royo Group 
• SCM Group 
  

Duration
November 2020 to October 2024

• Goal 7: Affordable and Clean Energy
  Target 7.2: Increase substantially the share of renewable energy in the global energy mix
  Target 7.3: Double the global rate of improvement in energy efficiency


• Goal 12: Ensure sustainable consumption and production patterns
  Target 12.4: Achieve the environmentally sound management of chemicals and all wastes throughout their life cycle, in accordance with agreed international frameworks, and significantly reduce their release to air, water and soil in order to minimize their adverse impacts on human health and the environment
  Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  Target 12.6: Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle

HYSouthMarmara
South Marmara Hydrogen Shore

Funded by:

Description
HySouthMarmara is an innovative application project for the southern Marmara region. It aims to create a regional "hydrogen economy" with green hydrogen production, providing hydrogen for industrial and energy applications. Three energy- intensive sectors with a significant carbon footprint have been identified in the region, known as Hydrogen Valley; the chemical, glass and ceramic industries.

• Alma Mater Studiorum - Universita Di Bologna
• Bandirma Onyedi Eylül Üniversitesi
• Enerjisa Enerji Uretim A.S.
• Eti Maden Operations General Directorate
• Güney Marmara Kalkınma Ajansı
• Hidrojen Peroksit A.Ş.
• Kaleseramik Canakkale Kalebodur Seramik Sanayi A.S.
• Linde Gaz A.S.
• PWC Türkiye
• Sabanci University
• Türkiye Bilimsel Ve Teknolojik Arastirma Kurumu
• Türkiye Enerji Nükleer ve Maden Araştırma Kurumu
• Turkish-German University
• Türkiye Sise ve Cam Fabrikalari A.S.
• Universite Mohammed Vi Polytechnique
  

Duration
July 2023 to June 2028

• Goal 7: Affordable and Clean Energy
  Target 7.1: Ensure universal access to affordable, reliable and modern energy services

More information
h2v.eu/hydrogen-valleys/south-marmara-hydrogen-shore-hysouthmarmara

KI4ETA
Artificial intelligence for energy technologies and applications in production          

Description
The goal is to use AI to narrow the so-called energy-efficiency gap—the difference between the energy savings that are technically possible in a factory and those that have already been realized in industry. To this end, an AI-based, scalable energy management platform is being developed on which the factory's machine, building and energy data are brought together. Automated with AI, measures for optimizing energy consumption are derived. 

• German Research Center for Artificial Intelligence (DFKI)
• Entega AG
  
• Robert Bosch GmbH
  
• Technical University of Darmstadt

Duration
June 2021 to May 2024

UN Sustainable Development Goals

• GoalsGoal 7: Affordable and Clean Energy
  Target: 7.2: By 2030, increase substantially the share of renewable energy in the global energy mix
  Target 7.3: By 2030, double the global rate of improvement in energy efficiency

More information
ptw.tu-darmstadt.de/forschung_ptw/eta/aktuelle_projekte_eta/ki4eta/index.de.jsp

SynErgie 3
Synchronized and energy-adaptive manufacturing engineering for flexible alignment to a fluctuating energy supply

Funded by:

Description
SynErgie will demonstrate how energy-intensive production processes can be adjusted to a volatile energy supply. The project is developing a synchronization platform that steers and monitors energy distribution within the production system and responds to flexibility requirements within the power system in a highly dynamic manner. The focus of the third funding phase is on generalizing, standardizing and validating the solutions developed in the first and second funding phases and to further enhance the integration capabilities of the SynErgie technology stack.

• The consortium consists of more than 80 partners from research, industry, and civil society.
  

• Goal 7: “Affordable and Clean Energy”
  Target 7.2: “Increase substantially the share of renewable energy in the global energy mix”
  

• Goal 8: “Decent Work and Economic Growth”
  Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed

• Goal 9: “Industry, Innovation, and Infrastructure” 
  Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”

Gaia-X 4 AMS
Gaia-X 4 Advanced Mobility Services

Description
The goal of the GAIA-X 4 AMS project is to implement innovative, safety-critical mobility applications based on the concepts and technologies of Gaia-X. The aim is to explore a future federated ecosystem of services for highly connected vehicles. The focus is on two use cases: the first one is the networking and cooperation of automated vehicles with the surrounding overall traffic system and the second one deals with advancing emergency services with the opportunities provided by a highly connected traffic system. By networking various relevant actors and establishing a secure and federated data and service ecosystem, the aim is to increase traffic safety as well as the efficiency and transparency of the traffic system.

• German Aerospace Center (DLR)
• T-Systems
  
• Fraunhofer-Gesellschaft
• Altran (Capgemini Engineering)
• Continental
  
• Peregrine
• Central Office for Information Technology in the Security Sector (ZITiS)

Duration
December 2021 to November 2024

REVAMP
Remanufacturing of variant-rich battery modules with automated assembly and testing processes

Description
The aim of REVAMP is to increase the utilization rate for second-live and second-use batteries in Germany through economical, automated and flexible remanufacturing. This involves the processes of dismantling the components of a battery pack down to the cell level, reprocessing them and reassembling them for various applications or reusing them individually.

• MAN Truck & Bus SE
• Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University
  
• Institute for Power Electronics and Electrical Drives (ISEA) of RWTH Aachen University
  
• Fraunhofer Institute for Production Technology (IPT)
• Bertrandt Technikum GmbH
  
• IBG Automation GmbH
  
• BE-Power GmbH
  
• Wacker Neuson Group
  

Duration
February 2023 bis January 2026

• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities
  
• Goal 12: Ensure sustainable consumption and production patterns
  Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  

SENATOR
Smart network operator for sustainable governance decision-making based on shared-connected freight delivery towards a better urban planning

Funded by:

The main objective of SENATOR project is to provide four governance schemes for urban planning policies: User demand planning, Transport planning, Freight & Logistics planning and City infrastructure focused, bringing together relevant stakeholders in urban freight logistics within one multi-collaborative framework based on a new urban logistics model to attend the requirements of the 'on demand economy'. Therefore, SENATOR develops a smart network operator supported on an ICT (Information and Communications Technology) platform for integrated logistics operation.

• Sociedad Estatal CORREOS y Telégrafos, S.A.
• Univ. de la Iglesia de DEUSTO Entidad Religiosa
• Ayuntamiento de ZARAGOZA
• Dublin City Council
• Câmara Municipal de Lisboa
• MDS Transmodal Ltd.
• RINA-C Consulting S.p.A.
• ZABALA Innovation Consulting S.A.
• DotGIS Corporation S.L.
• An Post
• University College Dublin
  

Duration
September 2020 to August 2024

• Goal 8: “Decent Work and Economic Growth”
  Target 8.3: “Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial services”
  Target 8.8: “Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employment”
   
• Goal 9: “Industry, Innovation and Infrastructure”
  Target 9.1: “Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all”
  Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”
   
• Goal 11: “Sustainable Cities and Communitities”
  Target 11.3: “Enhance inclusive and sustainable urbanization and capacity for participatory, integrated and sustainable human settlement planning and management in all countries” Target 11.6: “Reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management”
   
• Goal 13: “Climate Action”
  Target 13.2: “Integrate climate change measures into national policies, strategies and planning”

More information
senatorproject.eu

KLIPS
AI-based information platform for the localization and simulation of heat islands for innovative urban and traffic planning 

Description
The aim of KLIPS is to develop a
digital information platform for the localization, prognosis and simulation of heat islands. Thanks to swarm sensor technology and AI methods, the platform not only makes it possible to detect heat islands in urban areas, but also to predict their formation.

Partners

• German Aerospace Center (DLR)
• Pikobytes
• Fraunhofer Institute for Telecommunications,
• Heinrich Hertz Institute
• University of Applied Sciences Hof
• Leibniz Institute of Ecological
• Urban and Regional Development
• meggsimum
• City of Leipzig
• City of Langenfeld

• Goal 13: “Climate Action”
  Target 13.3: “Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning” 

More information
klips-projekt.de

CliCE-DiPP
Climate-neutral Circular Economy enabled by Digital Product Carbon Pass

Description
The aim of CliCE-DiPP is to develop a digital CO2 product passport that contains all relevant sustainability and energy data across companies, using the metal industry as an example. The digital product passport should not only provide information about the respective product-specific CO2 footprint (PCF), but also make it possible to optimize the production process from the point of view of energy and resource consumption - throughout the entire value chain.

• ABM-Mess Service GmbH
• Festo SE & Co.KG
• University of Applied Sciences Hof
• Karlsruhe Institute of Technology – wbk Institute of Production Science
• Lorenz GmbH & Co.KG
• Protektorwerk Florenz Maisch GmbH & Co. KG,
• Technical University of Darmstadt, Institute for Production Management, Technology and Machine Tools (PTW)

Duration
May 2023 bis April 2026

• Goal 9: Industry, Innovation and Infrastructure
  Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities
  
  
• Goal 13: Climate Action
  Target 13.3: Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning
  

Cumulocity IoT is used here for the prototype implementation of a platform for recording energy consumption during the operation of machine tools. Companies can quickly connect the sensors of their machine tools to Cumulocity IoT and thus determine the CO2 emissions generated depending on the type of energy, which can even be assigned to each individual workpiece if required.

ARIS Process Mining is used to identify real processes in machining production by using the entries from various systems to draw conclusions about the actual process steps performed. Not only can deviations from planned process sequences be detected, but energy consumption and therefore CO2 emissions can also be allocated if the machine tools do not have sensors. In addition, costs arising from employee wages or material consumption, for example, can be automatically derived.

More information
clice-dipp.de

DESPRIMA
Demand side and production management for beverage bottling processes

Description
DESPRIMA enables beverage bottling industries to adapt their energy consumption flexibly according to the varying energy availability and thus reduce energy costs. Therefore DESPRIMA will develop an intelligent energy management system by connecting sensors and actors of the bottling machinery to a digital platform.

• SWW Wunsiedel GmbH (public utility)
• Brandenburger Urstromquelle GmbH
• Dresden Elektronik
• Fraunhofer Institute for Technical and Industrial Mathematics
• Technical University of Kaiserslautern
• University of Bremen
  

Duration
July 2019 to March 2023

• Goal 7: Affordable and Clean Energy
  Target 7.2: Increase substantially the share of renewable energy in the global energy mix
  Target 7.3: Double the global rate of improvement in energy efficiency

A wide range of data from beverage production is connected to Software AG's Cumulocity IoT digital platform. In further steps, the machine and sensor data is prepared and processed on the platform and a permanent monitoring and forecasting system for current and future energy consumption is set up on the basis of a real-time model of the production processes, which enables flexible control of energy requirements.

E2COMATION
Life-cycle optimization of industrial energy efficiency by a distributed control and decision-making automation platform 

Funded by:

Description
E2COMATION aims at providing a cross-sectorial methodological framework and a technological platform to monitor, predict and evaluate energy efficiency and life-cycle impact of the behavior of a factory, to adapt and optimize dynamically not only its real-time behavior over different time-scales, but also its strategic positioning with respect to the complex supply and value chains it belongs to.

• Consiglio Nazionale delle
• Ricerche 
• nxtControl – Schneider
• Electric 
• Synesis Scarl 
• Simplan AG 
• ACT Operations Research Ltd 
• SIGMAtools GmbH 
• KU Leuven 
• ThinkingAdditive Ltd 
• Athens Technology Center SA 
• AIDIMME Instituto Tecnologico 
• Scuola Universitaria Professionale
• Svizzera Italiana 
• OCME Srl 
• Mahou-San Miguel 
• Condis 
• Kastamonu Entegre A.S. 
• Royo Group 
• SCM Group 
  

Duration
November 2020 to October 2024

• Goal 7: Affordable and Clean Energy
  Target 7.2: Increase substantially the share of renewable energy in the global energy mix
  Target 7.3: Double the global rate of improvement in energy efficiency


• Goal 12: Ensure sustainable consumption and production patterns
  Target 12.4: Achieve the environmentally sound management of chemicals and all wastes throughout their life cycle, in accordance with agreed international frameworks, and significantly reduce their release to air, water and soil in order to minimize their adverse impacts on human health and the environment
  Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  Target 12.6: Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle

Data on the entire production process and resource consumption is collected in a fog computing environment. This data is then analyzed with APAMA. TrendMiner is used to examine the data for anomalies and correlations.

EuProGigant
Artificial intelligence for energy technologies and applications in production

Description
EuProGigant implements the Gaia-X architecture through a German-Austrian consortium. As the first industrial project with practical implementation of GAIA-X principles, data-driven value creation will be rolled out in production, increasing productivity, revenue and energy efficiency while reducing CO2 equivalents and production costs. A cross-site, digitally networked production system built for EuProGigant will form the basis for a data ecosystem.

• A1 Digital International GmbH (Austria)
• Brinkhaus GmbH
• Concircle Management Consulting GmbH
• craftworks GmbH (Austria)
• EIT-Manufacturing GmbH (Germany and Austria)
• Gebr. Heller Maschinenfabrik GmbH (Germany)
• IGH Infotec AG (Germany)
• Institute of Production Management, Technology and Machine Tools (PTW), TU Darmstadt (Germany)
• Pilot Factory of TU Wien (Austria)
• Plasser & Theurer, Export von Bahnbaumaschinen, Gesellschaft m.b.H. (Austria)
• Stark Spannsysteme GmbH (Austria)
• WFL Millturn Technologies GmbH & Co. KG (Austria)

Duration
March 2021 to February 2025

• Goal 8: Decent Work and Economic Growth
  Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectors


• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.1: Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all


• Goal 12: Responsible Consumption and Production
  Target 12.1: Implement the 10-year framework of programmes on sustainable consumption and production, all countries taking action, with developed countries taking the lead, taking into account the development and capabilities of developing countries

Cumulocity IoT is used to record and analyze machine data from production. The focus here is on energy consumption in order to identify energy-saving and efficiency potential.

More information
euprogigant.com/en/
 

Factory-X
Building a data space for the equipment industry - the suppliers of factories worldwide

Description
The aim of the project is to develop a federated data space for manufacturing companies and production equipment suppliers and to successfully implement it. The federated data space is intended to enable the secure exchange of data between different players in production and thus promote digitalization and artificial intelligence in production.

The consortium consists of 47 partners and 10 associated partners.

Duration
February 2024 to June 2026

UN Sustainable Development Goals
• Goal 7: Affordable and clean energy
  Target 7.3: By 2030, double the global rate of improvement in energy efficiency.


• Goal 8: Decent work and economic growth
  Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the lead.


• Goal 9: Industry, innovation and infrastructure
  Target 9.4: By 2030, upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities.


• Goal 12: Responsible consumption and production
  Target 12.5: By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse.
  Target 12.6: Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle.

HYSouthMarmara
South Marmara Hydrogen Shore

Funded by:

Description
HySouthMarmara is an innovative application project for the southern Marmara region. It aims to create a regional "hydrogen economy" with green hydrogen production, providing hydrogen for industrial and energy applications. Three energy- intensive sectors with a significant carbon footprint have been identified in the region, known as Hydrogen Valley; the chemical, glass and ceramic industries.

• Alma Mater Studiorum - Universita Di Bologna
• Bandirma Onyedi Eylül Üniversitesi
• Enerjisa Enerji Uretim A.S.
• Eti Maden Operations General Directorate
• Güney Marmara Kalkınma Ajansı
• Hidrojen Peroksit A.Ş.
• Kaleseramik Canakkale Kalebodur Seramik Sanayi A.S.
• Linde Gaz A.S.
• PWC Türkiye
• Sabanci University
• Türkiye Bilimsel Ve Teknolojik Arastirma Kurumu
• Türkiye Enerji Nükleer ve Maden Araştırma Kurumu
• Turkish-German University
• Türkiye Sise ve Cam Fabrikalari A.S.
• Universite Mohammed Vi Polytechnique
  

Duration
July 2023 to June 2028

• Goal 7: Affordable and Clean Energy
  Target 7.1: Ensure universal access to affordable, reliable and modern energy services

Software AG is developing the technology for the digital twin and asset management for the production of green hydrogen. Cumulocity IoT and ARIS Process Mining are expected to be used for this.

More information
h2v.eu/hydrogen-valleys/south-marmara-hydrogen-shore-hysouthmarmara

iECO
Intelligent Empowerment of Construction Industry

Description
The aim of iECO is to create a common data space for the construction industry based on Gaia-X and to use this to create a tamper-proof digital twin of the entire life cycle of a building. Thanks to the digital twin, data no longer has to be exchanged bilaterally and at great expense, but is available immediately and to everyone. On the one hand, this drastically reduces the companies' coordination costs, and on the other, it reduces the risk of important information being lost in the value chain.

• A1 Germany Digital GmbH
• Hof University of Applied Sciences
• Fraunhofer-Gesellschaft
• Implenia Germany GmbH
• LGA Landesgewerbeanstalt Bayern (German)
• LGA Landesgewerbeanstalt Bayern (Bavarian State Trade Institute)
• N+P Information Systems GmbH
• TU Dresden
• IPROconsult GmbH

Duration
December 2021 to November 2024

• Goal 8: Decent Work and Economic Growth
  Target 8.2:Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectors
  

• Goal 9: „Industry, Innovation and Infrastructure
  Target 9.1: Develop quality, reliable, sustainable and resilient infrastructure
  Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities

• Goal 12: Responsible Consumption and Production Target 12.4: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  Target 12.4: Achieve the environmentally sound management of chemicals and all wastes throughout their life cycle
  Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  Target 12.6: Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle

   

More information
ieco-gaiax.de

InnoSale
Innovating Sales and Planning of Complex Industrial Products Exploiting Artificial Intelligence

Description
InnoSale aims to innovate today’s sales systems and processes for complex and variable industrial equipment, plants and services that require time-consuming back-office support. InnoSale develops methods to increase the expressiveness of validation rules and to suggest relevant purchase options (case-based reasoning). Sales engineers will be supported in finding previous customer requests & orders and other suitable solutions quickly as well as identifying similarities between customers (evolutional clustering). User experience will be improved supported by combining deep learning systems with augmented reality techniques, 3D modelling and 3D printing.
InnoSale is one of the ITEA projects. ITEA is the Eureka R&D&I Cluster on software innovation, enabling a large international community of large industry, SMEs, start-ups, academia and customer organisations, to collaborate in funded projects that turn innovative ideas into new businesses, jobs, economic growth and benefits for society.

• ifak - Institut für Automation und Kommunikation e.V. (Koordinator des deutschen Teilprojektes)
• Demag Cranes & Components GmbH
• :em engineering methods AG
• IOTIQ GmbH
• Natif.ai
• tarakos GmbH
• Technische Universität Dresden

Duration
October 2021 to September 2024

• Goal 8: Decent Work and Economic Growth
  Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectors


• Goal 9: Industry, Innovation and Infrastructure
  Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities
  Target 9.5: Enhance scientific research, upgrade the technological capabilities of industrial sectors in all countries, in particular developing countries, including, by 2030, encouraging innovation and substantially increasing the number of research and development workers per 1 million people and public and private research and development spending


• Goal 17: Partnerships for the Goals
  Target 17.6: Enhance the Global Partnership for Sustainable Development, complemented by multi-stakeholder partnerships that mobilize and share knowledge, expertise, technology and financial resources, to support the achievement of the Sustainable Development Goals in all countries, in particular developing countries

More information
innosale.eu

KI4ETA
Artificial intelligence for energy technologies and applications in production          

Description
The goal is to use AI to narrow the so-called energy-efficiency gap—the difference between the energy savings that are technically possible in a factory and those that have already been realized in industry. To this end, an AI-based, scalable energy management platform is being developed on which the factory's machine, building and energy data are brought together. Automated with AI, measures for optimizing energy consumption are derived. 

• German Research Center for Artificial Intelligence (DFKI)
• Entega AG
  
• Robert Bosch GmbH
  
• Technical University of Darmstadt

Duration
June 2021 to May 2024

• Goal 7: Affordable and Clean Energy
  Target: 7.2: By 2030, increase substantially the share of renewable energy in the global energy mix
  Target 7.3: By 2030, double the global rate of improvement in energy efficiency

Cumulocity IoT is used to collect and analyze production data. This is done either in the demo production plant at TU Darmstadt or at the industrial project partners. Energy consumption in particular is closely monitored in order to suggest potential energy savings and efficiencies.

More information
ptw.tu-darmstadt.de/forschung_ptw/eta/aktuelle_projekte_eta/ki4eta/index.de.jsp

KLIPS
AI-based information platform for the localization and simulation of heat islands for innovative urban and traffic planning 

Description
The aim of KLIPS is to develop a
digital information platform for the localization, prognosis and simulation of heat islands. Thanks to swarm sensor technology and AI methods, the platform not only makes it possible to detect heat islands in urban areas, but also to predict their formation.

• German Aerospace Center (DLR)
• Pikobytes
• Fraunhofer Institute for Telecommunications,
• Heinrich Hertz Institute
• University of Applied Sciences Hof
• Leibniz Institute of Ecological
• Urban and Regional Development
• meggsimum
• City of Leipzig
• City of Langenfeld

Duration
October 2020 to March 2024

• Goal 13: Climate Action
  Target 13.3: Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning

With the IoT platform "Cumulocity IoT", devices and sensors can be connected quickly, and the generated data can be integrated and analyzed. A demonstrator in which the KLIPS services are integrated offers various dashboards on which the measured air temperature and humidity, the heat index, the heat island effect and the temperature difference to the surrounding area can be queried at the current time and in a 48-hour forecast.

More information
klips-projekt.de

KompAKI
Competence center for work and AI in the Rhein-Main area 

Funded by:

Description
KompAKI will open up new potentials for human-centered AI application and their business models, develop new approaches of cooperative AI with which users can use AI more transparently and easily, and develop new methods to evaluate work in AI-supported work systems. 

• Technical University of Darmstadt
• Hochschule Darmstadt – University of Applied Sciences
• Metaphacts GmbH
• Chamber of Commerce and Industry of
• Darmstadt GmbH
• Jakob Maul GmbH
• Serviceware SE
• Heller Machine Tools Ltd
• Simplan AG
• STAUFEN. Quality Engineers GmbH
• TRILUX GmbH & Co. KG
  
• WIKA Alexander Wiegand SE & Co. KG
  

Duration
October 2020 to September 2025

• Goal 8: Decent Work and Economic Growth
  Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectors

More information
kompaki.de

NARRATE
Regenerative Resilient Smart Manufacturing Networks

Funded by:

Description
NARRATE will develop a sophisticated tool using AI, Digital Twin, and IoT technologies allowing end-to-end visibility and control over supply chain operations to monitor and predict potential disruptions, enabling supply chains to achieve improved resilience. The Intelligent Manufacturing Custodian (IMC) will leverage data from various production sources to enable proactive decision-making and act as a nerve center for a supply-chain network, providing real-time monitoring and coordination of intelligent production processes and logistics.

• Budatec GmbH
• DHl Exel Supply Chain Spain Sl
• F6S Network Ireland Limited
• Fagama Investment Sociedad Limitada
• Fraunhofer Gesellschaft
• Institut National des Sciences Appliquees de Lyon
• Instituto Tecnologico Metalmecanico, Mueble, Madera, Embalaje y Afines-Aidimme
• Micuna Sl
• Middlesex University Higher Education Corporation
• Nunsys SA
• Scientific Academy for Service Technology
• Synesis-Societa Consortile A Responsabilita Limitata

Duration
December 2023 to November 2026

• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.1: Develop sustainable, resilient and inclusive infrastructures
  Target 9.2: Promote inclusive and sustainable industrialization
  Target 9.5: Enhance research and upgrade industrial technologies


• Goal 12: Ensure sustainable consumption and production patterns
  Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  Target 12.6: Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle


• Goal 13: Climate action
  Target 13.1: Strengthen resilience and adaptive capacity to climate related disasters

APAMA can be used to provide early warning of delivery delays. This can provide insights for more efficient processes, e.g. through targeted savings in energy resources.

REIF
Resource-efficient, Economic and Intelligent Foodchain

Description
Objective is to reduce the waste of food in production and retail - for instant almost one third of all milk produced is lost in the value chain before it is bought by customers. To solve this huge economic but above all societal problem, REIF investigates the potential of Artificial Intelligence to optimize planning and controllability of the value chain. The core is the conception of an AI ecosystem that integrates stakeholders at all stages of the value chain.

• Fraunhofer Research Institution for Casting, Composite and Processing Technology IGCV
• Technical University of Munich - Chair of Brewing and Beverage
• Technology TUM School of Life Sciences Weihenstephan
• Collaborations Centre on Sustainable Consumption and Production
• Industrial Analytics IA GmbH
• Westfleisch SCE
• Kuchenmeister GmbH
• Hochland SE
• Tegut GmbH & Co. KG
  

Duration
February 2020 to June 2023 (implementation period)

• Goal 12: Responsible Consumption and Production
  Target 12.3: By 2030, halve per capita global food waste at the retail and consumer levels and reduce food losses along production and supply chains, including post-harvest losses

More information
ki-reif.de

REVAMP
Remanufacturing of variant-rich battery modules with automated assembly and testing processes

Description
The aim of REVAMP is to increase the utilization rate for second-live and second-use batteries in Germany through economical, automated and flexible remanufacturing. This involves the processes of dismantling the components of a battery pack down to the cell level, reprocessing them and reassembling them for various applications or reusing them individually.

• MAN Truck & Bus SE
• Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University
  
• Institute for Power Electronics and Electrical Drives (ISEA) of RWTH Aachen University
  
• Fraunhofer Institute for Production Technology (IPT)
• Bertrandt Technikum GmbH
  
• IBG Automation GmbH
  
• BE-Power GmbH
  
• Wacker Neuson Group
  

Duration
February 2023 bis January 2026

• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities
  
• Goal 12: Ensure sustainable consumption and production patterns
  Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse
  

SENATOR
Smart network operator for sustainable governance decision-making based on shared-connected freight delivery towards a better urban planning

Funded by:

Description

The main objective of SENATOR project is to provide four governance schemes for urban planning policies: User demand planning, Transport planning, Freight & Logistics planning and City infrastructure focused, bringing together relevant stakeholders in urban freight logistics within one multi-collaborative framework based on a new urban logistics model to attend the requirements of the 'on demand economy'. Therefore, SENATOR develops a smart network operator supported on an ICT (Information and Communications Technology) platform for integrated logistics operation.

• Sociedad Estatal CORREOS y Telégrafos, S.A.
• Univ. de la Iglesia de DEUSTO Entidad Religiosa
• Ayuntamiento de ZARAGOZA
• Dublin City Council
• Câmara Municipal de Lisboa
• MDS Transmodal Ltd.
• RINA-C Consulting S.p.A.
• ZABALA Innovation Consulting S.A.
• DotGIS Corporation S.L.
• An Post
• University College Dublin
  

Duration
September 2020 to August 2024

• Goal 8: Decent Work and Economic Growth
  Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial services
  Target 8.8: Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employment
  


• Goal 9: Industry, Innovation, and Infrastructure
  Target 9.1: Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all
  Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities)
  


• Goal 11: Sustainable Cities and Communities
  Target 11.3: Enhance inclusive and sustainable urbanization and capacity for participatory, integrated and sustainable human settlement planning and management in all countries
  Target 11.6: Reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management
  


• Goal 13: Climate Action
  Target 13.2: Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning

More information
senatorproject.eu

SynErgie 3
Synchronized and energy-adaptive manufacturing engineering for flexible alignment to a fluctuating energy supply

Funded by:

Description
SynErgie will demonstrate how energy-intensive production processes can be adjusted to a volatile energy supply. The project is developing a synchronization platform that steers and monitors energy distribution within the production system and responds to flexibility requirements within the power system in a highly dynamic manner. The focus of the third funding phase is on generalizing, standardizing and validating the solutions developed in the first and second funding phases and to further enhance the integration capabilities of the SynErgie technology stack.

• The consortium consists of more than 80 partners from research, industry, and civil society.
  

• Goal 7: “Affordable and Clean Energy”
  Target 7.2: “Increase substantially the share of renewable energy in the global energy mix”
  

• Goal 8: “Decent Work and Economic Growth”
  Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed

• Goal 9: “Industry, Innovation, and Infrastructure” 
  Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”

SynErgie shows how energy-intensive production processes can be adapted to a volatile energy supply. The project is developing a synchronization platform with Cumulocity IoT and ARIS that controls and monitors energy distribution within the production system and reacts highly dynamically to flexibility requirements in the electricity system.

ZDZW
Non-Destructive Inspection Services for Digitally Enhanced Zero Waste Manufacturing

Supported by

Description
ZDZW will develop digital non-destructive inspection services (NDIS) as a set of strategic technologies to improve production efficiency, zero-defect, and sustainable manufacturing of European industries. ZDZW Inspection Solutions are offered in suites covering product integrity assessment, visual and geometric properties inspection, and thermal processes monitoring and control.

Partners
The project has 27 partners in total, including:
Ikerlan
Siemens
Arçelik
Lithoz
DIN
Fraunhofer IGD

Duration
September 2022 to August 2025

• Goal 12: Responsible Consumption and Production
  Target: 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse

More information
zdzw-project.eu