Application Analysis of Multi Energy Complementary System in Regional Energy Optimization and Scheduling: Taking the Guangdong Hong Kong Macao Greater Bay Area as An Example
DOI:
https://doi.org/10.62051/ijgem.v9n3.05Keywords:
Multi energy complementary system, Guangdong Hong Kong Macao Greater Bay Area, Energy optimization and scheduling, Green finance, ESG constraintsAbstract
The Guangdong Hong Kong Macao Greater Bay Area, as the core economic area and energy intensive region of China, faces prominent problems such as high dependence on fossil fuels, high pressure on the consumption of renewable energy, and regional energy supply-demand imbalance. Data shows that the consumption of coal and oil products in Hong Kong accounts for 91%, while the combined consumption of coal and oil in Guangdong Province accounts for 58.5%. The consumption structure dominated by fossil fuels has not fundamentally changed. The multi energy complementary system integrates multiple energy sources such as wind power, photovoltaics, natural gas, and energy storage to achieve coordinated optimization of production and consumption, which is the key path to solving the energy dilemma. This article takes the Guangdong Hong Kong Macao Greater Bay Area as the research object, and combines green finance policies such as green credit with ESG constraints to explore the application logic and practical path of multi energy complementary systems in regional energy optimization and scheduling. By analyzing the characteristics of regional energy supply and demand and complementary needs, a scheduling mechanism that integrates green finance incentives and ESG evaluation is constructed. A multi-objective model is designed and simulated for verification, and the application effects and inspirations are summarized. Research has shown that deep integration of the three can significantly improve energy utilization efficiency, reduce carbon emissions, optimize regional energy investment structure, provide practical solutions for the low-carbon transformation of energy in the Greater Bay Area, and also provide reference for similar regions.
Downloads
References
[1] Zhou S, Cao S. Co-ordinations of ocean energy supported energy sharing between zero-emission cross-harbour buildings in the Greater Bay Area [J]. Applied Energy, 2024, 359: 122718.
[2] Qazi S H, Kalhoro M D, Bozalakov D, et al. Transforming Grid Systems for Sustainable Energy Futures: The Role of Energy Storage in Offshore Wind and Floating Solar [J]. Batteries, 2025, 11(6): 233.
[3] Rabbi M F, Popp J, Máté D, et al. Energy security and energy transition to achieve carbon neutrality [J]. Energies, 2022, 15(21): 8126.
[4] Xie Y. The interactive impact of green finance, ESG performance, and carbon neutrality [J]. Journal of Cleaner Production, 2024, 456: 142269.
[5] Dong A, Lee S K. The study of an improved particle swarm optimization algorithm applied to economic dispatch in microgrids [J]. Electronics, 2024, 13(20): 4086.
[6] Apata O. Decarbonization pathways through multi-energy system planning [J]. Energy Reports, 2025, 13: 4477-4490.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Global Economics and Management

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






