Projection of Electricity Generation Profiles and Carbon Emissions Towards 2050: A Malaysia Context

The planning of future energy systems that incorporate a significant share of renewable energy (RE) is gaining importance as a solution to energy security and environmental issues. In bottom-up energy system modelling, there are two primary approaches: one focuses on optimising the energy mix for a specific target year (static), while the other seeks to optimise the transition from the current reference to a target year (long-term). This paper aims to model and analyse Malaysia's renewable energy transition towards 2050 with both static and long-term approaches. The Low Emissions Analysis Platform (LEAP) was used to develop five Malaysian national energy system models from 2020 to 2050 with primary focus on the power sector. Optimal energy storage capacities were investigated in the National Energy Transition Roadmap (NETR 2050) model using the coupling of LEAP with Next Energy Modelling system for Optimization (NEMO). For the Reference Model (2020), the total electricity generation was at 153.8 TWh/year mainly driven by coal and natural gas. With LEAP-NEMO optimisation in the NETR 2050 model with the integration of battery energy storage systems (BESS) and pumped hydro storage (PHS), the total annual electricity generation was 270.6 TWh/year with contributions from natural gas and solar. For the total emissions in all sectors, the results for models 1 to 5 resulted in 287.5, 321.5, 382.1, 404.5, and 466.3 Mt. CO2 respectively. With LEAP-NEMO optimisation and energy efficiency for demand reduction, model 5 was improved to be at 449.7 Mt. CO2 mainly due to the smaller electricity generated by natural gas in the power sector. Based on the economic results of the two long-term scenarios, the total net present value was calculated to be 1210.7 billion USD for NETR 2050 with respect to Ref (2020). With the LEAP-NEMO optimisation, the total net present value resulted in 1005.7 billion USD. Based on the LEAP results, a significant shift in the technological landscape will be required, with RE, energy storage systems (ESS), and energy efficiency taking on key roles. The findings from this paper can aid researchers and policymakers in creating strategic plans in RE and ESS development that can be applied to the case of Malaysia and other countries. • Development of national energy system models with hourly high temporal resolution data via LEAP. • Projection of future electricity demand and generation profiles in Malaysia. • Integrating energy storage to improve energy utilisation via optimal LEAP-NEMO model. • Electricity supply and demand analysis with hourly time slices. • Projection of future CO 2 emissions from sectors based on fuel sources.

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Publication Details

Journal
Energy Sustainable Development/Energy for sustainable development
Published
2025-02-20
DOI
https://doi.org/10.1016/j.esd.2025.101681
Citations
11
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
8.03

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article

Projection of Electricity Generation Profiles and Carbon Emissions Towards 2050: A Malaysia Context

Malcolm Isaac Fernandez, Wolf‐Gerrit Früh, Yun Ii Go, M. L. Dennis Wong
11 citations
Energy Sustainable Development/Energy for sustainable development
Integrated Energy Systems Optimization
8.03
article

Projection of Electricity Generation Profiles and Carbon Emissions Towards 2050: A Malaysia Context

Malcolm Isaac Fernandez, Wolf‐Gerrit Früh, Yun Ii Go, M. L. Dennis Wong
article en
11 citations

Abstract

The planning of future energy systems that incorporate a significant share of renewable energy (RE) is gaining importance as a solution to energy security and environmental issues. In bottom-up energy system modelling, there are two primary approaches: one focuses on optimising the energy mix for a specific target year (static), while the other seeks to optimise the transition from the current reference to a target year (long-term). This paper aims to model and analyse Malaysia's renewable energy transition towards 2050 with both static and long-term approaches. The Low Emissions Analysis Platform (LEAP) was used to develop five Malaysian national energy system models from 2020 to 2050 with primary focus on the power sector. Optimal energy storage capacities were investigated in the National Energy Transition Roadmap (NETR 2050) model using the coupling of LEAP with Next Energy Modelling system for Optimization (NEMO). For the Reference Model (2020), the total electricity generation was at 153.8 TWh/year mainly driven by coal and natural gas. With LEAP-NEMO optimisation in the NETR 2050 model with the integration of battery energy storage systems (BESS) and pumped hydro storage (PHS), the total annual electricity generation was 270.6 TWh/year with contributions from natural gas and solar. For the total emissions in all sectors, the results for models 1 to 5 resulted in 287.5, 321.5, 382.1, 404.5, and 466.3 Mt. CO2 respectively. With LEAP-NEMO optimisation and energy efficiency for demand reduction, model 5 was improved to be at 449.7 Mt. CO2 mainly due to the smaller electricity generated by natural gas in the power sector. Based on the economic results of the two long-term scenarios, the total net present value was calculated to be 1210.7 billion USD for NETR 2050 with respect to Ref (2020). With the LEAP-NEMO optimisation, the total net present value resulted in 1005.7 billion USD. Based on the LEAP results, a significant shift in the technological landscape will be required, with RE, energy storage systems (ESS), and energy efficiency taking on key roles. The findings from this paper can aid researchers and policymakers in creating strategic plans in RE and ESS development that can be applied to the case of Malaysia and other countries. • Development of national energy system models with hourly high temporal resolution data via LEAP. • Projection of future electricity demand and generation profiles in Malaysia. • Integrating energy storage to improve energy utilisation via optimal LEAP-NEMO model. • Electricity supply and demand analysis with hourly time slices. • Projection of future CO 2 emissions from sectors based on fuel sources.

Energy Sustainable Development/Energy for sustainable developmentVol. 85
Heriot-Watt University (GB), Heriot-Watt University Malaysia (MY), Newcastle University (GB)
Heriot-Watt University
Climate action
Openalex Percentile: Top 3%
Integrated Energy Systems Optimization
8.03
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