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...

Full description

Saved in:
Bibliographic Details
Main Authors: Azman A.H., Tukimat N.N.A., Malek M.A.
Other Authors: 57212471511
Format: Book Chapter
Published: Springer 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Tenaga Nasional
id my.uniten.dspace-25802
record_format dspace
spelling my.uniten.dspace-258022023-05-29T16:14:32Z Analysis of Climate-Net Unit Generated (NUG) Relationship for the Hydroelectric Power Station Azman A.H. Tukimat N.N.A. Malek M.A. 57212471511 55531417400 55636320055 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 60�mm/month and the temperature recorded was around 26 ?. Minimum rainfall recorded during dry seasons was <10�mm/month with maximum temperature reading up to 28.5 ?. In terms of power generated, the maximum NUG data were often recorded in wet season. The highest NUG recorded during dry seasons were 1 000 000 000�300 000 000 kWh while the value of NUG during wet seasons were 50 000 000�240 000 000 kWh. � 2020, Springer Nature Singapore Pte Ltd. Final 2023-05-29T08:14:32Z 2023-05-29T08:14:32Z 2020 Book Chapter 10.1007/978-981-15-1971-0_58 2-s2.0-85076794818 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076794818&doi=10.1007%2f978-981-15-1971-0_58&partnerID=40&md5=675842324c041c070ca22e624c265785 https://irepository.uniten.edu.my/handle/123456789/25802 594 605 Springer Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
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 60�mm/month and the temperature recorded was around 26 ?. Minimum rainfall recorded during dry seasons was <10�mm/month with maximum temperature reading up to 28.5 ?. In terms of power generated, the maximum NUG data were often recorded in wet season. The highest NUG recorded during dry seasons were 1 000 000 000�300 000 000 kWh while the value of NUG during wet seasons were 50 000 000�240 000 000 kWh. � 2020, Springer Nature Singapore Pte Ltd.
author2 57212471511
author_facet 57212471511
Azman A.H.
Tukimat N.N.A.
Malek M.A.
format Book Chapter
author Azman A.H.
Tukimat N.N.A.
Malek M.A.
spellingShingle Azman A.H.
Tukimat N.N.A.
Malek M.A.
Analysis of Climate-Net Unit Generated (NUG) Relationship for the Hydroelectric Power Station
author_sort Azman A.H.
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
publishDate 2023
_version_ 1806424039691911168