995. Inverse multi-objective energy modelling for the optimisation of technical parameters of emerging technologies
Invited abstract in session MB-44: Inverse Design Modelling of Energy Systems, stream Energy Economics & Management.
Monday, 10:30-12:00Room: Newlyn 1.01
Authors (first author is the speaker)
| 1. | Katharina Esser
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| Chair of Energy Systems and Energy Economics, Ruhr-University Bochum | |
| 2. | Jonas Finke
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| Chair of Energy Systems and Energy Economics, Ruhr-Universität Bochum | |
| 3. | Valentin Bertsch
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| Chair of Energy Systems and Energy Economics, Ruhr-Universität Bochum |
Abstract
The transition to a climate-neutral energy sector depends on integrating renewable energy sources alongside flexible and innovative technologies. However, modelling low technology readiness level (TRL) technologies remains challenging due to high uncertainty in input parameters like technology costs and efficiencies. To address this issue, we propose an inverted energy system modelling approach that turns conventional input parameters into decision variables and objectives of the optimisation. Multi-objective optimisation then enables trade-off analyses between total system costs and technology development requirements, e.g the minimum requirements that would still allow a technology to be used in a cost-efficient system.
Applied to Central Western Europe’s power system expansion planning—with Carnot Batteries (CBs) as low-TRL storage—preliminary results reveal trade-offs between technical properties and system costs. We find that with worsening technical properties requirements for CBs to compete in the market become stricter. Improving energy-to-power ratios achieves higher tolerable capital expenditures and lower system costs more effectively than enhancing roundtrip efficiencies. However, analyses of maximum annualised investment costs uncover conflicts between economic viability and product development goals in single trade-off solutions. These solutions need to be identified and further considered to guide early-stage product development and system design.
Keywords
- Optimization Modeling
- OR in Energy
- Multi-Objective Decision Making
Status: accepted
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