15. Electrolyzers in optimized energy systems while dealing with uncertainties in investment and deployment planning using different case studies
Invited abstract in session TD-44: Interactions between electricity, hydrogen and carbon markets, stream Energy Economics & Management.
Tuesday, 14:30-16:00Room: Newlyn 1.01
Authors (first author is the speaker)
| 1. | Laura Thiel
|
| Hydrogen Group, Fraunhofer Institute for Machine Tools and Forming Technology | |
| 2. | simon Gloeser-Chahoud
|
| Department for Economics and Business Administration, Technical University Freiberg | |
| 3. | Tino Schütte
|
| University of Applied Science Zittau/Görlitz |
Abstract
Green hydrogen plays a pivotal role in transforming the energy and heating sectors, however, the operation of electrolyzers is not yet economically. Especially as the investment and deployment planning of electrolyzers is influenced by the availability of more cost-effective alternative technologies. However, the selection of a suitable operating strategy, the utilization of electrolysis by-products and the interplay of electricity prices and the share of renewable energies offer the promising possibility of increasing the usability of electrolyzers in various energy systems. This leads to the question: Which operational strategies for electrolyzers contribute to a cost- and CO₂-emission-optimized energy system when uncertainties are adequately considered? To address this, energy system simulations are conducted for various case studies, including a hospital and a gasification plant site. Numerous technologies and grid supply options are available to cover the respective energy demand, from which the optimum investment planning is determined. Particular attention is given to scenarios where electrolyzers form part of the optimal energy system solution, highlighting the potential to enhance their own profitability. Uncertainties in the model are addressed using a Monte Carlo simulation. The goal is to support decision-making for hydrogen system deployment and investment planning under uncertainty, while developing an economically viable strategy for electrolyzers.
Keywords
- OR in Energy
- Stochastic Optimization
- Multi-Objective Decision Making
Status: accepted
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