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  4. Prospect for small-hydropower installation settled upon optimal water allocation: An action to stimulate synergies of water-food-energy nexus
 
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Prospect for small-hydropower installation settled upon optimal water allocation: An action to stimulate synergies of water-food-energy nexus

Journal
Applied Energy
Journal Volume
238
Pages
668-682
Date Issued
2019
Author(s)
Zhou Y.
Chang L.-C.
Uen T.-S.
Guo S.
Xu C.-Y.
FI-JOHN CHANG  
DOI
10.1016/j.apenergy.2019.01.069
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/448959
URL
https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85060343515&doi=10.1016%2fj.apenergy.2019.01.069&partnerID=40&md5=76ec277f467b73322d1628b37b6721e1
Abstract
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
Subjects
Artificial intelligence (AI); Multi-sectoral water allocation; Reservoir operation; Small-hydropower; Taiwan
SDGs

[SDGs]SDG2

[SDGs]SDG6

[SDGs]SDG7

[SDGs]SDG11

[SDGs]SDG13

[SDGs]SDG14

[SDGs]SDG15

Other Subjects
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
Type
journal article

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