1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.Economic Research Institute of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310008, China;3.State Grid Beijing Urban Power Supply Company, Beijing 100032, China;4.State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China
The multi-energy coupling characteristics of urban integrated energy systems can effectively improve the energy utilization efficiency of the system. In order to identify the weak links in the energy utilization efficiency of urban integrated energy systems in different operation scenarios, a segmented energy efficiency evaluation method of urban integrated energy systems based on data envelopment analysis (DEA) is proposed. Firstly, considering the grade differences of different forms of energy supply, the energy efficiency evaluation index system of the urban integrated energy system is constructed from the perspectives of total energy consumption, echeloned utilization of energy, and clean energy output. Then, considering the various energy flows of the system, a system energy efficiency decomposition method based on the relational network DEA model is proposed. Finally, according to the economic operation results of the urban integrated energy system, the index values in the system energy efficiency index system are obtained, and the energy efficiency evaluation results of all links of the urban integrated energy system are further calculated. The results of the example simulation show that the evaluation method can effectively compare the relative energy efficiency of urban integrated energy systems with different energy consumption needs and different operation modes, determine the key links of improving energy efficiency in different operation scenarios, and lay a foundation for the efficient carbon reduction and accurate efficiency improvement of the integrated energy system.
[1] | ZHAO Lebing, WANG Lei, WAN Can, et al. Segmented Energy Efficiency Evaluation of Urban Integrated Energy System Based on Data Envelopment Analysis Method[J]. Automation of Electric Power Systems,2022,46(17):132-141. DOI:10.7500/AEPS20211218003 |