Impact of Endogenous Optimization of Renewable Energy Capacity on Energy System Benefits

Author Names:
Shanxia Pu
Author Affiliation:
School of Business, Chongqing College of Humanities, Science & Technology, Chongqing, 401524, China
Author Email:
pushanxia_psx@outlook.com
Publication Date:
May 18, 2026

Page numbers:

4401-4415

DOI Number:

https://doi.org/10.1177/14727978251364433

Abstract:

Current energy system models have problems like supply-demand mismatch and an unreasonable energy structure. Clean energy is not economically competitive enough compared to fossil energy, which affects the sustainability and transformation of energy systems. This study introduces Renewable Energy Technology and uses Multi-Objective Programming to optimize the installed capacity. This reduces the overall cost of the energy system by improving the conversion efficiency and installed capacity of renewable energy. The proposed model reduces wastewater emissions by 89.64%, which is much higher than the other two models. It also has higher proportions of reclaimed water and waste treatment. The data show that the proposed model improves energy supply stability, is more economically competitive, and provides insights for sustainable energy system development.
Keywords:
renewable energy technology, installed capacity endogenous optimization, energy system, economic and environmental benefits, low carbon
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