Analysis of Climate-Net Unit Generated (NUG) Relationship for the Hydroelectric Power Station

Global climate change has influenced the sustainability of hydroelectric power generation caused by the uncertainties of the air temperature and rainfall pattern. Current reservoir water management practices may not be robust to survive impacts of climate changes particularly in sufficiency of long...

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Main Authors: Azreen Harina, Azman, Nurul Nadrah Aqilah, Tukimat, M.A., Malek
Format: Conference or Workshop Item
Language:English
Published: Springer Singapore 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/26772/
http://umpir.ump.edu.my/id/eprint/26772/
http://umpir.ump.edu.my/id/eprint/26772/1/ICDSME2019_Corrected_Paper_76_turnitin.pdf
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recordtype eprints
spelling ump-267722020-01-03T01:20:17Z http://umpir.ump.edu.my/id/eprint/26772/ Analysis of Climate-Net Unit Generated (NUG) Relationship for the Hydroelectric Power Station Azreen Harina, Azman Nurul Nadrah Aqilah, Tukimat M.A., Malek T Technology (General) TA Engineering (General). Civil engineering (General) Global climate change has influenced the sustainability of hydroelectric power generation caused by the uncertainties of the air temperature and rainfall pattern. Current reservoir water management practices may not be robust to survive impacts of climate changes particularly in sufficiency of long term water demand-supply. In addition, the electricity demand is also increasing year by year because of extreme daily weather. Higher temperature will increase the electricity demand which is good income generation however this has resulted high operation cost and reduction of water storage. Therefore, the main objective of the study was to determine the relationship between climate change with net unit generated (NUG) at Sultan Mahmud Hydro Electric Power Station. To achieve the objective, a Statistical Downscaling Model (SDSM) was applied to identify the best atmospheric variables which influenced the long term climate formation at the area. The climate-NUG relationship had been analyzed based on statistical equation. The finding shows inversed proportional relationships between rainfall and temperature. During wet seasons, the maximum rainfall achieved 60mm/month and the temperature recorded was around 26◦C. Minimum rainfall recorded during dry seasons was <10mm/month with maximum temperature reading up to 28.5◦C. In terms of power generated, the maximum NUG data were often recorded in wet season. The highest NUG recorded during dry seasons were 1 000 000-300 000 000 kWh while the value of NUG during wet seasons were 50 000 000-240 000 000 kWh. Springer Singapore 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26772/1/ICDSME2019_Corrected_Paper_76_turnitin.pdf Azreen Harina, Azman and Nurul Nadrah Aqilah, Tukimat and M.A., Malek (2020) Analysis of Climate-Net Unit Generated (NUG) Relationship for the Hydroelectric Power Station. In: Proceedings of the 1st International Conference on Dam Safety Management and Engineering, 19-21 November 2019 , The Wembley Hotel, Penang< Malaysia. pp. 594-605. (1). ISSN 9789811519710 https://www.springerprofessional.de/en/icdsme-2019/17460540
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Azreen Harina, Azman
Nurul Nadrah Aqilah, Tukimat
M.A., Malek
Analysis of Climate-Net Unit Generated (NUG) Relationship for the Hydroelectric Power Station
description Global climate change has influenced the sustainability of hydroelectric power generation caused by the uncertainties of the air temperature and rainfall pattern. Current reservoir water management practices may not be robust to survive impacts of climate changes particularly in sufficiency of long term water demand-supply. In addition, the electricity demand is also increasing year by year because of extreme daily weather. Higher temperature will increase the electricity demand which is good income generation however this has resulted high operation cost and reduction of water storage. Therefore, the main objective of the study was to determine the relationship between climate change with net unit generated (NUG) at Sultan Mahmud Hydro Electric Power Station. To achieve the objective, a Statistical Downscaling Model (SDSM) was applied to identify the best atmospheric variables which influenced the long term climate formation at the area. The climate-NUG relationship had been analyzed based on statistical equation. The finding shows inversed proportional relationships between rainfall and temperature. During wet seasons, the maximum rainfall achieved 60mm/month and the temperature recorded was around 26◦C. Minimum rainfall recorded during dry seasons was <10mm/month with maximum temperature reading up to 28.5◦C. In terms of power generated, the maximum NUG data were often recorded in wet season. The highest NUG recorded during dry seasons were 1 000 000-300 000 000 kWh while the value of NUG during wet seasons were 50 000 000-240 000 000 kWh.
format Conference or Workshop Item
author Azreen Harina, Azman
Nurul Nadrah Aqilah, Tukimat
M.A., Malek
author_facet Azreen Harina, Azman
Nurul Nadrah Aqilah, Tukimat
M.A., Malek
author_sort Azreen Harina, Azman
title Analysis of Climate-Net Unit Generated (NUG) Relationship for the Hydroelectric Power Station
title_short Analysis of Climate-Net Unit Generated (NUG) Relationship for the Hydroelectric Power Station
title_full Analysis of Climate-Net Unit Generated (NUG) Relationship for the Hydroelectric Power Station
title_fullStr Analysis of Climate-Net Unit Generated (NUG) Relationship for the Hydroelectric Power Station
title_full_unstemmed Analysis of Climate-Net Unit Generated (NUG) Relationship for the Hydroelectric Power Station
title_sort analysis of climate-net unit generated (nug) relationship for the hydroelectric power station
publisher Springer Singapore
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/26772/
http://umpir.ump.edu.my/id/eprint/26772/
http://umpir.ump.edu.my/id/eprint/26772/1/ICDSME2019_Corrected_Paper_76_turnitin.pdf
first_indexed 2023-09-18T22:41:53Z
last_indexed 2023-09-18T22:41:53Z
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