Reservoir Operation Using Seasonally Varied Model (SVM)
Seasonally varied model (SVM) was developed to operate a cascading four hydroelectric power reservoirs with the concept of refill and depletes ranking orders. The analysis was performed by dividing the critical period into four states of the reservoir. A specific model was developed for each state t...
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my.utp.eprints.79672017-01-19T08:21:30Z Reservoir Operation Using Seasonally Varied Model (SVM) Asfaw, Tilahun Derib Wan Yusof, Khamaruzaman Hashim, Ahmad Mustafa TA Engineering (General). Civil engineering (General) Seasonally varied model (SVM) was developed to operate a cascading four hydroelectric power reservoirs with the concept of refill and depletes ranking orders. The analysis was performed by dividing the critical period into four states of the reservoir. A specific model was developed for each state to maximize the total annual hydroelectric power generation from the cascading scheme. With equal annual volume of releases, the newly developed operation rule based on SVM improved the long-term historical average (HA) hydroelectric power generated of the scheme by 2%. Moreover, the overall plant factor was also improved from 39.46% to 40.25%. It is equivalent to 4.56 MW per day. 2012-06-12 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/7967/1/1569567357.pdf Asfaw, Tilahun Derib and Wan Yusof, Khamaruzaman and Hashim, Ahmad Mustafa (2012) Reservoir Operation Using Seasonally Varied Model (SVM). In: International Conference on Civil, Offshore and Environmental Engineering (ICCOEE 2012), 12-14 June 2012, Kuala Lumpur. http://eprints.utp.edu.my/7967/ |
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TA Engineering (General). Civil engineering (General) Asfaw, Tilahun Derib Wan Yusof, Khamaruzaman Hashim, Ahmad Mustafa Reservoir Operation Using Seasonally Varied Model (SVM) |
description |
Seasonally varied model (SVM) was developed to operate a cascading four hydroelectric power reservoirs with the concept of refill and depletes ranking orders. The analysis was performed by dividing the critical period into four states of the reservoir. A specific model was developed for each state to maximize the total annual hydroelectric power generation from the cascading scheme. With equal annual volume of releases, the newly developed operation rule based on SVM improved the long-term historical average (HA) hydroelectric power generated of the scheme by 2%. Moreover, the overall plant factor was also improved from 39.46% to 40.25%. It is equivalent to 4.56 MW per day. |
format |
Conference or Workshop Item |
author |
Asfaw, Tilahun Derib Wan Yusof, Khamaruzaman Hashim, Ahmad Mustafa |
author_facet |
Asfaw, Tilahun Derib Wan Yusof, Khamaruzaman Hashim, Ahmad Mustafa |
author_sort |
Asfaw, Tilahun Derib |
title |
Reservoir Operation Using Seasonally Varied Model (SVM) |
title_short |
Reservoir Operation Using Seasonally Varied Model (SVM) |
title_full |
Reservoir Operation Using Seasonally Varied Model (SVM) |
title_fullStr |
Reservoir Operation Using Seasonally Varied Model (SVM) |
title_full_unstemmed |
Reservoir Operation Using Seasonally Varied Model (SVM) |
title_sort |
reservoir operation using seasonally varied model (svm) |
publishDate |
2012 |
url |
http://eprints.utp.edu.my/7967/1/1569567357.pdf http://eprints.utp.edu.my/7967/ |
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1738655617923416064 |
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13.251813 |