Hydropower Reservoir Optimization with Solar Generation-Changed Energy Prices in California
| dc.authorid | /0000-0002-3378-9955 | |
| dc.contributor.author | Doğan, Mustafa Şahin | |
| dc.contributor.author | Medellin-Azuara, Josue | |
| dc.contributor.author | Lund, Jay R. | |
| dc.date.accessioned | 2024-07-09T06:17:46Z | |
| dc.date.available | 2024-07-09T06:17:46Z | |
| dc.date.issued | 2024 | |
| dc.department | Mühendislik Fakültesi | |
| dc.description.abstract | Growing solar photovoltaic supply has significantly reshaped energy prices, lowering them during solar generating hours. Large-scale hydropower reservoir operations need to adapt to changes in energy prices to maximize hydropower revenue. This paper evaluates effects of solar generation-changed energy prices on hydropower generation for five multipurpose reservoirs in California using a hydroeconomic optimization model. In California, major solar generation began in 2013, so years 2010–2012 are a pre-solar period, and years 2013–2018 are post-solar. Reservoir operations, hydropower generation and revenue between these periods are compared. Operations in the wet season (January to June), and the dry season (July to December) are evaluated. Results show that releases are more profitable when hydropower is generated twice a day during on-peak hours in the morning and evening in the wet season. When water is scarce, energy is generated only during the higher-price evening peak. Hydropower generation is mostly curtailed between 10am and 6pm due to large solar supplies, and increase during morning and evening peaks when solar generation is unavailable. However, by optimizing hydropower scheduling hours, the new energy price pattern can be more profitable. With increased energy price variability and adaptation, overall daily revenue can increase by about 14% in the wet season and 30% in the dry season. | |
| dc.identifier.doi | 10.1007/s11269-024-03747-6 | |
| dc.identifier.endpage | 2153 | en_US |
| dc.identifier.issn | 0920-4741 | |
| dc.identifier.issue | 6 | en_US |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 2135 | en_US |
| dc.identifier.uri | https:/dx.doi.org/10.1007/s11269-024-03747-6 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12451/12089 | |
| dc.identifier.volume | 38 | en_US |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media B.V. | |
| dc.relation.ispartof | Water Resources Management | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Hydroeconomic Modeling | |
| dc.subject | Hydropower Optimization | |
| dc.subject | RenHydropower Optimization Renewable Energy | |
| dc.subject | Reservoir Operations | |
| dc.subject | Solar Generationewable Energy | |
| dc.subject | Reservoir Operations | |
| dc.subject | Solar Generation | |
| dc.title | Hydropower Reservoir Optimization with Solar Generation-Changed Energy Prices in California | |
| dc.type | Article |
