Assessment of the Electricity System Transition towards High Share of Renewable Energy Sources in South Asian Countries
Aqsa Rana and
Gyula Gróf
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Aqsa Rana: Department of Energy Engineering, Faculty of Mechanical Engineering, Budapest University of Technology, Műegyetem rkp. 3, H-1111 Budapest, Hungary
Gyula Gróf: Center for Energy Research, Konkoly-Thege Miklós út 29-33, H-1121 Budapest, Hungary
Energies, 2022, vol. 15, issue 3, 1-23
Abstract:
The progressive use of renewable energy sources to ensure a continuous and abundant energy supply is the significant target towards a sustainable and secure energy system. Previously, the countries that had relied on fossil fuel as a dominating energy source are now endorsing energy system transition towards renewable energy sources. In this study, a comparative assessment of the energy problems of South Asian countries is summarized. Nevertheless, there are many similarities and differences in the electricity supply system of these countries. Long-term planning for renewable energy development is suggested for a diverse population and dispersed geographical location considering all the significant challenges. However, appropriate schemes are imperative for integrating significant renewable energy sources. This study introduces a foresight plan of the electricity model according to the demand and supply balance for extensive technical analysis. The EnergyPLAN modeling tool was employed to work out a more ambitious VRE integration scenario than the official plans. The reference model was validated according to legitimate and authentic data, and then, the technically most feasible renewable energy-based alternate scenario was built. The additional grid integration cost of variable renewable energy was quantitatively investigated for comprehensive power system modeling for a real-time economic analysis. The results may be adapted and support developing more sustainable power generation serving 1787 million in South Asian countries.
Keywords: renewable energy sources (RES); sustainable planning; EnergyPLAN; optimization; GRID integration; South Asia (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:3:p:1139-:d:741687
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