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2398. A multi-objective optimization approach to assess the trade-off of potential energy and material supply risks in the energy transition
Invited abstract in session TD-9: Long-term energy system planning, stream Energy Markets.
Tuesday, 14:30-16:00Room: 10 (building: 116)
Authors (first author is the speaker)
| 1. | Gianvito Colucci
|
| Energy, Politecnico di Torino | |
| 2. | Valentin Bertsch
|
| Chair of Energy Systems & Energy Economics, Ruhr-Universität Bochum | |
| 3. | Valeria Di Cosmo
|
| Dipartimento di Economia e Statistica "Cognetti de Martiis", Università di Torino | |
| 4. | Jonas Finke
|
| Chair of Energy Systems and Energy Economics, Ruhr-Universität Bochum | |
| 5. | Laura Savoldi
|
| Politecnico di Torino |
Abstract
This work proposes a methodology for the combined assessment of energy and material supply risks (SRs), using a multi-objective optimization (MOO) approach in energy system models (ESMs). Indeed, the transition from fossil fuels to low-carbon sources is decreasing the energy import dependency of many countries, while increasing the risk of potential bottlenecks along the entire supply chain of low-carbon technologies, leading to an energy security trade off. As policymakers are promoting new devoted policies, ESMs represent suitable tools to test their effectiveness. However, despite the studies evaluating future material requirements are increasing in number, they are usually done ex-post starting from already available energy transition scenarios. In that way, such energy scenarios are not affected by potential materials and technology supply chain bottlenecks. That makes the analysis presented here among the first-of-a-kind assessments of energy and material SRs in a multi-objective energy system optimization framework. The proposed methodology involves the consistent definition of the energy and material SRs for a reference energy system as two separate objective functions to be used in a MOO. The trade-offs between such SRs, costs and CO2 emissions are studied through MOO optimization for a case study developed within the open-source Temoa framework, providing insights about technology competitiveness in terms of energy security.
Keywords
- Energy Policy and Planning
- Multi-Objective Decision Making
Status: accepted
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