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3978. Planning of Power-Water-Heat Systems Using an Integrated, Extremes-Aware, Clustering-Optimization Framework
Invited abstract in session TC-19: OR in Heating Systems, stream OR in Energy.
Tuesday, 12:30-14:00Room: 44 (building: 116)
Authors (first author is the speaker)
| 1. | Jefferson Riera
|
| King Abdullah University of Science and Technology | |
| 2. | Ricardo Pinto de Lima
|
| Computer, Electrical and Mathematical Sciences and Engineering Division, KAUST - King Abdullah University of Science and Technology | |
| 3. | Omar Knio
|
| KAUST - King Abdullah University of Science and Technology |
Abstract
The rising shift towards renewable energy sources to decarbonize the power sector highlights the need to create advanced optimization tools that capture variability and complementarity of renewable resources and incorporate infrequent but critical extreme weather conditions planning models. A clustering-optimization framework is introduced to address extreme weather conditions when planning for a multi-sector (including power, water, and heat) system, aiming to mitigate the effects of detailed variability. This framework was applied to assess the financial and resilience outcomes of adding concentrated solar power (CSP) and geothermal energy into a system already utilizing wind, solar photovoltaics, and batteries. When planning for fully renewable energy systems, extreme weather conditions necessitated higher capacity investments to reduce reliance on external power sources. Whereas technologies like CSP and geothermal have been shown to lower costs across the system, the inclusion of CSP could lead to decreased reliability during extreme weather events. This underscores the importance of designing energy systems that not only embrace renewable technologies but also robustly withstand and adapt to the challenges posed by extreme weather conditions, ensuring both sustainability and reliability in the face of climate change.
Keywords
- OR in Energy
- Energy Policy and Planning
Status: accepted
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