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1463. Energy Storage System Design and Management for Renewable Supply and Demand
Invited abstract in session TA-22: Optimization of energy storage systems, stream Energy Management.
Tuesday, 8:30-10:00Room: 81 (building: 116)
Authors (first author is the speaker)
| 1. | Gülin Yurter
|
| Industrial Engineering, Bilkent University | |
| 2. | Ayse Selin Kocaman
|
| Industrial Engineering, Bilkent University | |
| 3. | Emre Nadar
|
| Bilkent University |
Abstract
Renewable energy sources have gained prominence in reducing the dependency on fossil fuels and minimizing their negative environmental impacts. Considering renewables' uncertain and variable nature, it has become necessary to design and manage hybrid energy systems. We study the optimal design and management problem for hybrid energy systems involving a pumped hydro energy storage facility and a wind farm. We first develop two-stage stochastic programming models to find the optimal configuration and sizing decisions. We then utilize a Markov decision process model to find the optimal energy generation and storage decisions. Using real-life data and considering economic benefits, we investigate how hybrid systems can mitigate the negative effects of uncertainty in supply and demand.
Keywords
- Energy Policy and Planning
- OR in Energy
Status: accepted
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