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An Analysis of Optimal and Near-Optimal Decarbonisation Strategies for Malaysia using a Hybrid model
This thesis studies the challenges of formulating strategies for decarbonising the energy systems in many countries that are battling to reduce carbon emissions and seriously considering incorporating environmental issues in the process of energy planning and policy-making. It presents the development of mathematical models and analysis to obtain insights on optimal and near-optimal decarbonisation strategies. The energy system of Malaysia is used as a case study to analyse energy related issues and investigate the decarbonisation of the energy systems. Under the landscape of demand–supply uncertainties at a multiregional level, a novel Modelling to Generate Alternatives (MGA) hybrid (MAED-OSeMOSYS) approach has been developed to capture the electricity trade option between three regions of Peninsular, Sabah and Sarawak, analysing in detail the end-use technologies of various sectors and the integration of end-use technologies with the power sector. It analysed the possibility of achieving least-cost optimal decarbonisation targets in Malaysia and concluded that the development of advanced and clean technologies needed in the system across all sectors, mainly power, industry and transportation. Further, it also investigated the near-optimal decarbonisation strategies that provided different insights on the possible evolution of a low carbon electricity sector in Malaysia with the implementation of the MGA technique. Additional investments and flexibility in categories of technology constraints imposed in the system. These constraints influence the type of technology to be deployed and make a difference in the diffusion of the power technologies, which result in carbon emissions reduction in the system. The application of the MGA technique provides researchers with the flexibility to explore alternative pathways within a cost optimal solution range, which provides new knowledge in the application of this technique to the OSeMOSYS model. This thesis provides insights to policy makers of middle-sized countries on ...
An Analysis of Optimal and Near-Optimal Decarbonisation Strategies for Malaysia using a Hybrid model
This thesis studies the challenges of formulating strategies for decarbonising the energy systems in many countries that are battling to reduce carbon emissions and seriously considering incorporating environmental issues in the process of energy planning and policy-making. It presents the development of mathematical models and analysis to obtain insights on optimal and near-optimal decarbonisation strategies. The energy system of Malaysia is used as a case study to analyse energy related issues and investigate the decarbonisation of the energy systems. Under the landscape of demand–supply uncertainties at a multiregional level, a novel Modelling to Generate Alternatives (MGA) hybrid (MAED-OSeMOSYS) approach has been developed to capture the electricity trade option between three regions of Peninsular, Sabah and Sarawak, analysing in detail the end-use technologies of various sectors and the integration of end-use technologies with the power sector. It analysed the possibility of achieving least-cost optimal decarbonisation targets in Malaysia and concluded that the development of advanced and clean technologies needed in the system across all sectors, mainly power, industry and transportation. Further, it also investigated the near-optimal decarbonisation strategies that provided different insights on the possible evolution of a low carbon electricity sector in Malaysia with the implementation of the MGA technique. Additional investments and flexibility in categories of technology constraints imposed in the system. These constraints influence the type of technology to be deployed and make a difference in the diffusion of the power technologies, which result in carbon emissions reduction in the system. The application of the MGA technique provides researchers with the flexibility to explore alternative pathways within a cost optimal solution range, which provides new knowledge in the application of this technique to the OSeMOSYS model. This thesis provides insights to policy makers of middle-sized countries on ...
An Analysis of Optimal and Near-Optimal Decarbonisation Strategies for Malaysia using a Hybrid model
Kumar, Maragatham (Autor:in)
28.08.2020
Doctoral thesis, UCL (University College London).
Hochschulschrift
Elektronische Ressource
Englisch
DDC:
690
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