https://scholars.lib.ntu.edu.tw/handle/123456789/448959
標題: | Prospect for small-hydropower installation settled upon optimal water allocation: An action to stimulate synergies of water-food-energy nexus | 作者: | Zhou Y. Chang L.-C. Uen T.-S. Guo S. Xu C.-Y. FI-JOHN CHANG |
關鍵字: | Artificial intelligence (AI); Multi-sectoral water allocation; Reservoir operation; Small-hydropower; Taiwan | 公開日期: | 2019 | 卷: | 238 | 起(迄)頁: | 668-682 | 來源出版物: | Applied Energy | 摘要: | The incorporation of renewable power generation into existing water supply systems is known to have far-reaching influences on system operation in response to booming urbanization. This study proposed a holistic system-wide solution driven by water resources perspectives encouraging small-hydropower generation using artificial intelligence techniques to leverage the synergies of the Water-Food-Energy (WFE) Nexus. The Shihmen Reservoir and its water supply system serving the public and agricultural sectors in northern Taiwan constituted the study case. The proposed three-faceted approach was explored systematically through: optimizing multi-sectoral water allocation, maximizing the installation of small-hydropower turbines aligned with the obtained optimal multi-sectoral water allocation, and uplifting the synergistic benefits of the WFE Nexus steered by the optimal water allocation and small-hydropower installation. The findings pointed out that the derived optimal water allocation could greatly alleviate water shortage conditions and improve reservoir water retention while the acquired optimal small-hydropower installation scheme could favor hydropower output without reducing water supply to demanding sectors. Taking the M-5 operational rule curves simulation as the benchmark, the comparative results demonstrated that the multi-year joint optimization under the collaboration of water allocation and small-hydropower installation could offer mutually beneficial outcomes on the WFE Nexus: largely mitigate the average annual water shortage index by up to 40.0% (water sector), boost the average annual food production by as high as 10.6% (food sector), and lift the average annual hydropower output by 7.5% (17 million USD/yr; energy sector), respectively. This study not only opens new perspectives on cleaner energy production benefiting WFE Nexus synergies but suggests policymakers with executable strategies on small-hydropower practice in the light of sustainable development, which carves a niche in small-hydropower practice and contributes to the fulfillment of future energy needs. © 2019 Elsevier Ltd |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/448959 | ISSN: | 0306-2619 | DOI: | 10.1016/j.apenergy.2019.01.069 | SDG/關鍵字: | Agricultural robots; Artificial intelligence; Curve fitting; Hydroelectric power; Installation; Planning; Water resources; Water supply; Water supply systems; Agricultural sector; Artificial intelligence techniques; Operational rule curves; Renewable power generation; Reservoir operation; Small hydro power; Taiwan; Water allocations; Reservoirs (water); alternative energy; artificial intelligence; holistic approach; hydroelectric power; installation; optimization; power generation; reservoir; urbanization; water resource; water storage; water supply; Taiwan |
顯示於: | 生物環境系統工程學系 |
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