Impact of Climate Change on the Hydropower Dam on the East Coast of Peninsular Malaysia Based on the Rainfall Variability Index (RVI)

There has been a substantial increase in energy generation in the country as a result of the country's rapid expansion and constant economic growth. Peninsular Malaysia currently has 33 power plants (21 thermal power plants and 12 hydropower plants), 86,468 substations, and 33,668 transmission...

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Main Authors: Sidek L.M., Basri H., Hamid A.F.A., Ab Ghani N.H.B., Radzi H.B.M., Yapandi M.F.K.B.M.
Other Authors: 35070506500
Format: Book chapter
Published: Springer Science and Business Media Deutschland GmbH 2024
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spelling my.uniten.dspace-343912024-10-14T11:19:28Z Impact of Climate Change on the Hydropower Dam on the East Coast of Peninsular Malaysia Based on the Rainfall Variability Index (RVI) Sidek L.M. Basri H. Hamid A.F.A. Ab Ghani N.H.B. Radzi H.B.M. Yapandi M.F.K.B.M. 35070506500 57065823300 58905464700 58906334700 58906678600 54797442400 Energy sector Extreme events Hydropower Impact of climate change Rainfall variability There has been a substantial increase in energy generation in the country as a result of the country's rapid expansion and constant economic growth. Peninsular Malaysia currently has 33 power plants (21 thermal power plants and 12 hydropower plants), 86,468 substations, and 33,668 transmission towers. Climate change has been designated as one of the most important environmental concerns of the twenty-first century, and it has ignited a heated discussion. This study on rainfall variability in terms of flood,�dry spells and regional drought characteristics is required to gain a better understanding of the flood and dry spells affected by the energy sector in Peninsular Malaysia. In this study, historical data from 1974 to 2000 is gathered to create the Rainfall Variability Index (RVI) as the baseline data. The baseline data is being used to forecast future rainfall for the next 80�years, from 2020 to 2100. The future period will be classified into 3 phases which are early century (2020�2046), the�middle century (2047�2073) and the�late century (2074�2100). The forecast data is used to predict extreme events that might affect the energy sector. These findings show that the energy sector in Peninsular Malaysia is affected by floods and drought during those three centuries. � The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. Final 2024-10-14T03:19:28Z 2024-10-14T03:19:28Z 2023 Book chapter 10.1007/978-981-99-3708-0_63 2-s2.0-85185945387 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185945387&doi=10.1007%2f978-981-99-3708-0_63&partnerID=40&md5=d5ee7e845d0afefcfe55934a77d24dbb https://irepository.uniten.edu.my/handle/123456789/34391 Part F2265 899 908 Springer Science and Business Media Deutschland GmbH 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/
topic Energy sector
Extreme events
Hydropower
Impact of climate change
Rainfall variability
spellingShingle Energy sector
Extreme events
Hydropower
Impact of climate change
Rainfall variability
Sidek L.M.
Basri H.
Hamid A.F.A.
Ab Ghani N.H.B.
Radzi H.B.M.
Yapandi M.F.K.B.M.
Impact of Climate Change on the Hydropower Dam on the East Coast of Peninsular Malaysia Based on the Rainfall Variability Index (RVI)
description There has been a substantial increase in energy generation in the country as a result of the country's rapid expansion and constant economic growth. Peninsular Malaysia currently has 33 power plants (21 thermal power plants and 12 hydropower plants), 86,468 substations, and 33,668 transmission towers. Climate change has been designated as one of the most important environmental concerns of the twenty-first century, and it has ignited a heated discussion. This study on rainfall variability in terms of flood,�dry spells and regional drought characteristics is required to gain a better understanding of the flood and dry spells affected by the energy sector in Peninsular Malaysia. In this study, historical data from 1974 to 2000 is gathered to create the Rainfall Variability Index (RVI) as the baseline data. The baseline data is being used to forecast future rainfall for the next 80�years, from 2020 to 2100. The future period will be classified into 3 phases which are early century (2020�2046), the�middle century (2047�2073) and the�late century (2074�2100). The forecast data is used to predict extreme events that might affect the energy sector. These findings show that the energy sector in Peninsular Malaysia is affected by floods and drought during those three centuries. � The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
author2 35070506500
author_facet 35070506500
Sidek L.M.
Basri H.
Hamid A.F.A.
Ab Ghani N.H.B.
Radzi H.B.M.
Yapandi M.F.K.B.M.
format Book chapter
author Sidek L.M.
Basri H.
Hamid A.F.A.
Ab Ghani N.H.B.
Radzi H.B.M.
Yapandi M.F.K.B.M.
author_sort Sidek L.M.
title Impact of Climate Change on the Hydropower Dam on the East Coast of Peninsular Malaysia Based on the Rainfall Variability Index (RVI)
title_short Impact of Climate Change on the Hydropower Dam on the East Coast of Peninsular Malaysia Based on the Rainfall Variability Index (RVI)
title_full Impact of Climate Change on the Hydropower Dam on the East Coast of Peninsular Malaysia Based on the Rainfall Variability Index (RVI)
title_fullStr Impact of Climate Change on the Hydropower Dam on the East Coast of Peninsular Malaysia Based on the Rainfall Variability Index (RVI)
title_full_unstemmed Impact of Climate Change on the Hydropower Dam on the East Coast of Peninsular Malaysia Based on the Rainfall Variability Index (RVI)
title_sort impact of climate change on the hydropower dam on the east coast of peninsular malaysia based on the rainfall variability index (rvi)
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2024
_version_ 1814061054142971904
score 13.214268