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1037. Multi-Objective Optimisation for the Inverse Analysis of Design Requirements for Low Technology Readiness Level technologies from an Energy System Perspective
Invited abstract in session MA-9: Modelling and Economics of Storage Technologies in Energy Markets, stream Energy Markets.
Monday, 8:30-10:00Room: 10 (building: 116)
Authors (first author is the speaker)
| 1. | Katharina Esser
|
| Chair of Energy Systems and Energy Economics, Ruhr-University Bochum | |
| 2. | Jonas Finke
|
| Chair of Energy Systems and Energy Economics, Ruhr-Universität Bochum | |
| 3. | Valentin Bertsch
|
| Chair of Energy Systems and Energy Economics, Ruhr-Universität Bochum |
Abstract
The energy sector is transitioning towards a climate-neutral future based on renewable energy sources. Besides increasing demands for decentralised, flexible, and environmentally friendly technologies, technology innovation will be imperative for this transition, offering unknown potentials. Energy system models are an important tool to address these challenges, using various input parameters for all technologies considered. However, low technology readiness level (TRL) technologies require estimates for those parameters which are usually not possible or poorly verified at an early stage of development. Thus, including low TRL technologies in energy models is associated with high uncertainty and lacking in current research. We develop a new, inverted approach for energy system modelling that considers both the common central-planning perspective of optimal system design and the technical design perspective of technology development. By turning model input parameters such as technology cost or efficiencies into decision variables, these can be used as additional optimisation objectives. A multi-objective optimisation then enables trade-off analyses between overall system cost and requirements for technology development, e.g. the least requirements that would still lead to the use of a technology in a cost-efficient system. We demonstrate the inverted method using the modelling framework Backbone and Carnot Batteries as location-independent energy storage with low TRL.
Keywords
- Optimization Modeling
- OR in Energy
- Programming, Multi-Objective
Status: accepted
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