Utility Model and Demand Assessment Method of Integrated Energy Service

被引:0
|
作者
Wang J. [1 ]
Li H. [1 ]
Li X. [1 ]
Kan L. [1 ]
Bai H. [2 ]
Li W. [2 ]
机构
[1] College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, 610065, Sichuan Province
[2] State Grid Economic and Technological Research Institute of Henan Province, Zhengzhou, 450052, Henan Province
关键词
Architecture of service; Demand interval; Energy demand; Integrated energy service; Market promotion and operation; Service utility;
D O I
10.13334/j.0258-8013.pcsee.182426
中图分类号
TK [能源与动力工程];
学科分类号
0807 ;
摘要
The large-scale development of integrated energy service still faces huge challenges due to the lack of reasonable and feasible promotion mechanisms and operation technologies. This paper explored the connotation of integrated energy service from the perspective of market promotion and operation. The architecture of service was proposed based on value-added function, technical solution, service mode, and service level. A service utility model was constructed by considering both aspects of time dimension and category dimension. This model could match the relationship between ability of integrated energy service and energy consumption of users. The aim of utility calculating was to identify the extent to which user demands are met. The concept and interval estimation method of integrated energy service demand was proposed to analyze the range of installation capacity chosen by users under different price levels and consumption targets. In the last chapter, the proposed methodology were applied to several instances, and the results show that these methods can effectively reflect the perceived benefits and purchase behavior of users, and also support the energy suppliers to promote integrated energy service. © 2020 Chin. Soc. for Elec. Eng.
引用
收藏
页码:411 / 424
页数:13
相关论文
共 27 条
  • [1] Revolutionary strategy of energy production and consumption (2016-2030), (2017)
  • [2] Opinions on developing integrated energy services in provincial companies, (2017)
  • [3] 2017 annual report, (2018)
  • [4] Intelligent energy network, (2018)
  • [5] German Federal Ministry for Economic Affairs And Energy.E-energy, (2018)
  • [6] Jia H., Wang D., Xu X., Et al., Research on some key problems related to integrated energy systems, Automation of Electric Power Systems, 39, 7, pp. 198-207, (2015)
  • [7] Huang H., Mao C., Wang D., Et al., Modeling summarizing of distributed renewable energy power generation system, Proceedings of the Chinese Society of Universities, 22, 5, (2010)
  • [8] Zhang D., Miao X., Liu L., Et al., Research on development strategy for smart grid big data, Proceedings of the CSEE, 35, 1, pp. 2-12, (2015)
  • [9] Bhatt V., Friley P., Lee J., Integrated energy and environmental systems analysis methodology for achieving low carbon cities, Journal of Renewable and Sustainable Energy, 2, (2010)
  • [10] Wang H., Saint-Pierre A., Mancarella P., System level cost and environmental performance of integrated energy systems: An assessment of low-carbon scenarios for the UK, 2015 IEEE Eindhoven PowerTech, (2015)