Malaysia�s Electricity Decarbonisation Pathways: Exploring the Role of Renewable Energy Policies Using Agent-Based Modelling

Coal�s rising prominence in the power industry has raised concerns about future CO2 emissions and energy reliability. As of 2017, it is estimated that Malaysia�s existing natural gas production can only be maintained for another 40 years. Consequently, the carbon intensity of electricity production...

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Main Authors: Babatunde K.A., Mahmoud M.A., Ibrahim N., Said F.F.
Other Authors: 57194161189
Format: Article
Published: MDPI 2024
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spelling my.uniten.dspace-342832024-10-14T11:18:49Z Malaysia�s Electricity Decarbonisation Pathways: Exploring the Role of Renewable Energy Policies Using Agent-Based Modelling Babatunde K.A. Mahmoud M.A. Ibrahim N. Said F.F. 57194161189 55247787300 9337335600 24779077900 agent-based model electricity sector energy decarbonisation renewable energy policies simulation Autonomous agents Carbon Computational methods Decarbonization Electric industry Emission control Energy efficiency Energy policy Natural gas Natural gasoline plants Power generation Power markets Renewable energy resources Simulation platform Agent-based model CO 2 emission Decarbonisation Electricity sector Energy Energy decarbonization Malaysia Policy measures Renewable energy policy Simulation Carbon dioxide Coal�s rising prominence in the power industry has raised concerns about future CO2 emissions and energy reliability. As of 2017, it is estimated that Malaysia�s existing natural gas production can only be maintained for another 40 years. Consequently, the carbon intensity of electricity production has increased due to the increasing share of coal-fired plants and electricity infrastructure inefficiencies. To summarise, energy industries have been the highest emitters of CO2 emissions, with a 54-percent share. In response to these challenges, the government implemented a series of renewable energy (RE) policy measures. Whether these policies are sufficient in driving Malaysian energy decarbonisation is yet to be seen. In this study, we simulated different scenarios from 2015 to 2050 with an agent-based model to explore the roles of renewable energy policies towards emission reduction in the energy sector. The simulation results reveal that when all renewables initiatives were implemented, the share of RE increased to 16 percent, and emissions intensity fell by 26 percent relative to its level in 2005, albeit with increasing absolute carbon emissions. This milestone is still far below the government�s 45 percent reduction target. The simulation results demonstrate that renewable energy policies are less effective in driving Malaysian electricity towards desired low-carbon pathways. Furthermore, it is evidenced that no single approach can achieve the emission reduction target. Therefore, a combination of energy efficiency and renewable energy policy measures is unavoidable to decarbonise the electricity sector in Malaysia. � 2023 by the authors. Final 2024-10-14T03:18:49Z 2024-10-14T03:18:49Z 2023 Article 10.3390/en16041720 2-s2.0-85149179566 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149179566&doi=10.3390%2fen16041720&partnerID=40&md5=3670a7c6f33b764047a979bff8fd73af https://irepository.uniten.edu.my/handle/123456789/34283 16 4 1720 All Open Access Gold Open Access MDPI 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 agent-based model
electricity sector
energy decarbonisation
renewable energy policies
simulation
Autonomous agents
Carbon
Computational methods
Decarbonization
Electric industry
Emission control
Energy efficiency
Energy policy
Natural gas
Natural gasoline plants
Power generation
Power markets
Renewable energy resources
Simulation platform
Agent-based model
CO 2 emission
Decarbonisation
Electricity sector
Energy
Energy decarbonization
Malaysia
Policy measures
Renewable energy policy
Simulation
Carbon dioxide
spellingShingle agent-based model
electricity sector
energy decarbonisation
renewable energy policies
simulation
Autonomous agents
Carbon
Computational methods
Decarbonization
Electric industry
Emission control
Energy efficiency
Energy policy
Natural gas
Natural gasoline plants
Power generation
Power markets
Renewable energy resources
Simulation platform
Agent-based model
CO 2 emission
Decarbonisation
Electricity sector
Energy
Energy decarbonization
Malaysia
Policy measures
Renewable energy policy
Simulation
Carbon dioxide
Babatunde K.A.
Mahmoud M.A.
Ibrahim N.
Said F.F.
Malaysia�s Electricity Decarbonisation Pathways: Exploring the Role of Renewable Energy Policies Using Agent-Based Modelling
description Coal�s rising prominence in the power industry has raised concerns about future CO2 emissions and energy reliability. As of 2017, it is estimated that Malaysia�s existing natural gas production can only be maintained for another 40 years. Consequently, the carbon intensity of electricity production has increased due to the increasing share of coal-fired plants and electricity infrastructure inefficiencies. To summarise, energy industries have been the highest emitters of CO2 emissions, with a 54-percent share. In response to these challenges, the government implemented a series of renewable energy (RE) policy measures. Whether these policies are sufficient in driving Malaysian energy decarbonisation is yet to be seen. In this study, we simulated different scenarios from 2015 to 2050 with an agent-based model to explore the roles of renewable energy policies towards emission reduction in the energy sector. The simulation results reveal that when all renewables initiatives were implemented, the share of RE increased to 16 percent, and emissions intensity fell by 26 percent relative to its level in 2005, albeit with increasing absolute carbon emissions. This milestone is still far below the government�s 45 percent reduction target. The simulation results demonstrate that renewable energy policies are less effective in driving Malaysian electricity towards desired low-carbon pathways. Furthermore, it is evidenced that no single approach can achieve the emission reduction target. Therefore, a combination of energy efficiency and renewable energy policy measures is unavoidable to decarbonise the electricity sector in Malaysia. � 2023 by the authors.
author2 57194161189
author_facet 57194161189
Babatunde K.A.
Mahmoud M.A.
Ibrahim N.
Said F.F.
format Article
author Babatunde K.A.
Mahmoud M.A.
Ibrahim N.
Said F.F.
author_sort Babatunde K.A.
title Malaysia�s Electricity Decarbonisation Pathways: Exploring the Role of Renewable Energy Policies Using Agent-Based Modelling
title_short Malaysia�s Electricity Decarbonisation Pathways: Exploring the Role of Renewable Energy Policies Using Agent-Based Modelling
title_full Malaysia�s Electricity Decarbonisation Pathways: Exploring the Role of Renewable Energy Policies Using Agent-Based Modelling
title_fullStr Malaysia�s Electricity Decarbonisation Pathways: Exploring the Role of Renewable Energy Policies Using Agent-Based Modelling
title_full_unstemmed Malaysia�s Electricity Decarbonisation Pathways: Exploring the Role of Renewable Energy Policies Using Agent-Based Modelling
title_sort malaysia�s electricity decarbonisation pathways: exploring the role of renewable energy policies using agent-based modelling
publisher MDPI
publishDate 2024
_version_ 1814061048731271168
score 13.222552