A varying comprehensive hydropower coefficient for medium/long-term operation of a single reservoir
In medium/long-term reservoir operation, the hydropower output is calculated from k × q × h, where q is the power discharge, h is the water head, and k is the comprehensive hydropower coefficient. k indicates the conversion efficiency from water power to electricity, however, it is standard practice...
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IWA Publishing
2020-08-01
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Online Access: | http://hr.iwaponline.com/content/51/4/686 |
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author | Wenting Gong Pan Liu Lei Cheng He Li Zhikai Yang |
author_facet | Wenting Gong Pan Liu Lei Cheng He Li Zhikai Yang |
author_sort | Wenting Gong |
collection | DOAJ |
description | In medium/long-term reservoir operation, the hydropower output is calculated from k × q × h, where q is the power discharge, h is the water head, and k is the comprehensive hydropower coefficient. k indicates the conversion efficiency from water power to electricity, however, it is standard practice to use a constant k. We developed a novel method to derive the varying k based on observed big data. The operational frequencies of different units for time (multiple periods) and space (multiple units) were accounted based on the observed big data from each unit, and then weights were obtained. Finally, k was derived by integrating the efficiency curves (hill charts) of the different units with their weights. The Three Gorges Project, China, was selected for a case study. Results indicated that: (1) the varying k value can improve hydropower simulation accuracy, (2) simulations using 10-day intervals have a higher accuracy for hydropower calculation than daily and monthly scales, (3) the evaluation of hydropower plant benefits is sensitive to k, and there is potential for producing more hydropower. These findings are highly relevant to the operation of hydropower plants and to the evaluation of medium/long-term hydropower generation for a hydropower plant. |
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spelling | doaj.art-3b8598a027c041618a2fff4d7a13c0a32022-12-21T22:45:16ZengIWA PublishingHydrology Research1998-95632224-79552020-08-0151468669810.2166/nh.2020.158158A varying comprehensive hydropower coefficient for medium/long-term operation of a single reservoirWenting Gong0Pan Liu1Lei Cheng2He Li3Zhikai Yang4 State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China and Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan 430072, China State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China and Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan 430072, China State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China and Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan 430072, China State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China and Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan 430072, China State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China and Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan 430072, China In medium/long-term reservoir operation, the hydropower output is calculated from k × q × h, where q is the power discharge, h is the water head, and k is the comprehensive hydropower coefficient. k indicates the conversion efficiency from water power to electricity, however, it is standard practice to use a constant k. We developed a novel method to derive the varying k based on observed big data. The operational frequencies of different units for time (multiple periods) and space (multiple units) were accounted based on the observed big data from each unit, and then weights were obtained. Finally, k was derived by integrating the efficiency curves (hill charts) of the different units with their weights. The Three Gorges Project, China, was selected for a case study. Results indicated that: (1) the varying k value can improve hydropower simulation accuracy, (2) simulations using 10-day intervals have a higher accuracy for hydropower calculation than daily and monthly scales, (3) the evaluation of hydropower plant benefits is sensitive to k, and there is potential for producing more hydropower. These findings are highly relevant to the operation of hydropower plants and to the evaluation of medium/long-term hydropower generation for a hydropower plant.http://hr.iwaponline.com/content/51/4/686comprehensive hydropower coefficienthydropower benefit evaluationunit efficiency curve |
spellingShingle | Wenting Gong Pan Liu Lei Cheng He Li Zhikai Yang A varying comprehensive hydropower coefficient for medium/long-term operation of a single reservoir Hydrology Research comprehensive hydropower coefficient hydropower benefit evaluation unit efficiency curve |
title | A varying comprehensive hydropower coefficient for medium/long-term operation of a single reservoir |
title_full | A varying comprehensive hydropower coefficient for medium/long-term operation of a single reservoir |
title_fullStr | A varying comprehensive hydropower coefficient for medium/long-term operation of a single reservoir |
title_full_unstemmed | A varying comprehensive hydropower coefficient for medium/long-term operation of a single reservoir |
title_short | A varying comprehensive hydropower coefficient for medium/long-term operation of a single reservoir |
title_sort | varying comprehensive hydropower coefficient for medium long term operation of a single reservoir |
topic | comprehensive hydropower coefficient hydropower benefit evaluation unit efficiency curve |
url | http://hr.iwaponline.com/content/51/4/686 |
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