535. Modelling to generate near-Pareto-optimal alternatives (MGPA) – A novel multi-criteria optimisation approach for energy planning
Invited abstract in session MC-44: Multi-criteria energy systems modelling, stream Energy Economics & Management.
Monday, 12:30-14:00Room: Newlyn 1.01
Authors (first author is the speaker)
| 1. | Jonas Finke
|
| Chair of Energy Systems and Energy Economics, Ruhr-Universität Bochum | |
| 2. | Valentin Bertsch
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| Chair of Energy Systems and Energy Economics, Ruhr-Universität Bochum |
Abstract
Energy system models (ESMs) have been used for decades in research and industry to support decision-making for the energy transition. These models mostly minimise overall costs subject to rather technical constraints. The energy transition, however, involves a large number of decision-makers and stakeholders with multiple, conflicting interests beyond this techno-economic sphere. Modelling to generate alternatives (MGA) and multi-objective optimisation (MOO) are two approaches used to address multiple such interests in ESMs. First, we review both approaches and synthesise their strengths and limitations to find that they are complementary. Then, we develop modelling to generate near-Pareto-optimal alternatives (MGPA) as a new approach that combines the paradigms and strengths of MGA and MOO. Finally, we demonstrate the advantages of the novel MGPA approach for supporting the energy transition in two German municipalities.
Keywords
- OR in Energy
- Multi-Objective Decision Making
- Energy Policy and Planning
Status: accepted
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