Research on Integrated Customer-Side Energy System Planning Method Considering Carbon Emission Reduction

Cong Liu () and Yongjie Zhang
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Cong Liu: College of Management and Economics, Tianjin University, Tianjin 300072, China
Yongjie Zhang: College of Management and Economics, Tianjin University, Tianjin 300072, China

Sustainability, 2022, vol. 14, issue 17, 1-17

Abstract: With the improvement of the urbanization level, the energy demand of users continues to increase, which also brings a series of problems. Therefore, in order to effectively solve these problems, energy transformation has begun, and the traditional energy supply model is gradually changing to a diversified and coordinated supply of cold, heat, electricity, and gas. The integrated energy system is not only one of the important means for China to realize the energy revolution, but also one of the important carriers to realize China’s dual carbon goal, because it can realize the coupling and synergy between different energy subsystems and reduce carbon, while also saving costs. Integrated energy system planning is one of the core technologies of integrated energy. Because the load demand of the community will change with time, as a result, this paper studies the typical scenario use frequency of different types of equipment, combined with the energy-pricing method, considering the energy factors such as carbon and energy prices and investment capacity; building area, power supply; equipment operation; and construction-cost factors such as natural gas network and reliability. In order to minimize the total life-cycle cost and total carbon emissions, a dual-objective expansion planning optimization model of integrated energy system was established, and an energy pricing model was added to the capacity optimization of equipment planning. Finally, through the determination of typical scenarios, the economic performance and environmental performance of the three scenarios were compared and analyzed to verify the effectiveness and superiority of the planning model.

Keywords: equipment selection; integrated energy system; expansion plan; full life cycle; energy pricing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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