Circular Economy and
Predictive Modelling

The platform provides a comprehensive understanding about the fate of lithium and all materials connected to it from rock to recycling. Its goal is to minimize the lithium losses and maximize the resource efficiency from a circular economy point of view and adopting a life cycle thinking approach.

Contact

Prof. Markus Reuter

Chair „Circular Economy and Predictive Modelling“

Helmholtz-Zentrum Dresden-Rossendorf e.V.

Phone +49 (0)351 260 4411

Send email

Research activities

	Process and system simulation Quantitative sustainability assessment of the lithium value chain: Resource and energy efficiency analysis Economic, environmental and social impact assessment
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Industry activities

Providing a digital simulation platform for lithium life cycles
Connecting stakeholders within the Circular Economy
Informing and advising the stakeholders in the Circular Economy

Education activities

	Training young researchers in programs such as SOKRATES or SINReM Developing new training tools about flowsheet modelling for industry Raising awareness about the sustainability challenges associated to the electric mobility
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Prof. Guido Sonnemann

Co-Chair „Circular Economy and Predictive Modelling“

Institut des Sciences Moléculaires – ISM | University of Bordeaux – UMR 5255 CNRS

Phone +33 (0)5400 03183

Send email

E-mobility cost study (ECOS)

ECOS defines the real cost of e-mobility regarding the effects of environmental, monetary and social aspects on overall footprint of e-mobility with special focus on ion lithium batteries. A literature analysis evaluates the existing information along the whole value chain. Key issues are life cycle assessment, business models and responsible sourcing. An additional survey examines how important responsibly produced raw materials, electric engines and batteries are to different actors in the e-mobility value chain.