Complementary configuration and performance comparison of CCHP-ORC system with a ground source heat pump under three energy management modes

Ligai Kang, Junhong Yang, Qingsong An*, Shuai Deng, Jun Zhao, Zelin Li, Yongzhen Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)

Abstract

The variation of the end-user load and the constant output of power generation units (PGUs) results in a mismatch between energy supply and demand. To reduce the difference and to avoid an excess output of electricity or heat, a complementary combined cooling, heating and power- organic Rankine cycle system (CCHP-ORC) system with a ground source heat pump is configured. In this study, the CCHP-ORC system, which is operated in thermal demand management (TDM) or electricity demand management mode, is employed to analyze the operational cost (OC), annual total cost (ATC), carbon dioxide emission (CDE), primary energy consumption (PEC) and system efficiency based on a case study of a regional energy system in Sino-Singapore eco-city. Meanwhile, the performance analysis of an improved operational mode is also conducted in this study. Following this mode, the waste heat and electricity imported from grid can be minimized by controlling the operation condition of PGU and ORC with a thermal management controller (TMC-ORC mode). Monthly and annual results in the case study show that the proposed system performed well on OC, CDE and PEC reductions and the ATC are both increased except for the ATC of TMC-ORC mode. However, the total efficiency of TDM is the highest among the three operational modes. Finally, for TMC-ORC mode, sensitivity analysis is performed and results are presented with varying electricity and gas price.

Original languageEnglish
Pages (from-to)244-255
Number of pages12
JournalEnergy Conversion and Management
Volume135
DOIs
Publication statusPublished - 2017
Externally publishedYes

Keywords

  • CCHP system
  • Ground source heat pump
  • Operational mode
  • Organic Rankine cycle
  • Performance analysis
  • Sensitivity analysis

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