Optimal Energy Configuration of Integrated Energy Community Considering Carbon Emission

Jiangping Liu, Jianghong Nie, Xue Cui (), Peng Liu (), Pingzheng Tong and Xue Liu
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Jiangping Liu: Hubei Power Exchange Center, Wuhan 430077, China
Jianghong Nie: Hubei Power Exchange Center, Wuhan 430077, China
Xue Cui: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Peng Liu: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Pingzheng Tong: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Xue Liu: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China

Sustainability, 2024, vol. 16, issue 2, 1-26

Abstract: An integrated energy community with a distributed utilization of renewable energy and complementary electricity–gas–cold–heat integrated energy will play an important role in energy conservation and emission reduction. In addition, compared with traditional thermoelectric power equipment, solid oxide fuel cells have many advantages, such as a high energy utilization rate, good waste heat quality, and low carbon emissions. Therefore, the SOFC-based multi-energy and energy storage sharing operation model of an integrated energy community with an electricity–gas–cooling–heat integrated energy system is constructed, and a bi-objective optimal configuration model considering the carbon emission index is established. Considering the economic objective of the smallest annual total operating cost as the most important objective in optimizing the planning model, the ε-constraint method is used to transform the environmental objective function with the smallest annual total carbon emission into a constraint condition under the decision making of an economic single objective function, and then the planning model is linearized and solved by using the Big-M method and the McCormick relaxation method. By calculating and analyzing the energy allocation results in five scenarios, the effectiveness and rationality of the model built in this article are verified. At the same time, the calculation example analysis results show that as the ε value decreases, the energy configuration of the integrated energy community will shift from natural gas to clean energy. From this perspective, the energy equipment configuration and operating costs will increase. However, the heat storage system and power storage system sharing can effectively reduce the energy allocation capacity and costs.

Keywords: carbon emission; integrated energy community; solid oxide fuel cell; bi-objective optimization; optimal configuration (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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