A Novel CHP-HP Coupling System and its Optimization Analysis by Genetic Algorithm

Shushuo Kang, Lin Lu, Hongqiang Li, Guoqiang Zhang

Research output: Journal article publicationConference articleAcademic researchpeer-review

Abstract

Combined heating and power system has been applied widely due to its energetic and environmental characteristics. Heat pump system is also regarded as a promising energy-saving and environment-friendly technology. This paper proposed a novel coupling system by integrating the combined heating and power system with the heat pump system. The performance characteristics of the novel coupling system are investigated by the Aspen plus software based on a case system. The results show that the energetic efficiency and exergetic efficiency are 142.2% and 22.6% respectively, increasing by 3.9% and 3.7% respectively, compared with the ones of reference system. In order to make the novel coupling system more practical, the multi-objective optimal model is developed based on the primary energy saving ratio, carbon dioxide emission reduction ratio and annual total cost saving ratio simultaneously. The key parameters, such as the capacity of power generation unit and the outlet temperature from the heat pump, are optimized by genetic algorithm so as to maximize the comprehensive performance.
Original languageEnglish
Pages (from-to)2089-2094
Number of pages6
JournalEnergy Procedia
Volume105
DOIs
Publication statusPublished - 1 Jan 2017
Event8th International Conference on Applied Energy, ICAE 2016 - Beijing, China
Duration: 8 Oct 201611 Oct 2016

Keywords

  • Combined heating and power system
  • Heat pump
  • Integration system
  • Multi-objective optimization
  • Performance analysis

ASJC Scopus subject areas

  • Energy(all)

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