Prime Mover Capacity Optimization and Thermodynamic Performance Analysis of Internal Combustion Engine Based CCHP System

Shucheng Wang, Muhammad Imran, Hongwei Li, Xiaoxu Chen, Mei Qin

Research output: Contribution to journalArticlepeer-review


In this research, a solar hybrid combined cooling heating and power (CCHP) system is proposed considering the different scenarios of Prime Movers (PMs) and the part-load performance of PMs is validated by the designed values from the manufacturer of Volvo. Moreover, a multi-optimization model based on a genetic algorithm is developed in order to select both the most promising performance PM and the most cost-effectiveness, environmentally friendly number of collectors for the proposed CCHP system, simultaneously. Then the hourly performance of this solar hybrid CCHP is determined through a case study of a hotel in Shanghai. Results show that the highest efficiency of the PM with larger capacity has the most promising performance and the collector number of 90 turns out to be a superior value for the hotel building based on the primary energy saving ratio of 61.61%. Moreover, on a typical summer day, the recovered waste heat and the solar energy can provide all the thermal energy demands, while, an auxiliary boiler should be started to fulfill the energy gap in both typical transition and winter days. From the simulation result, the CO2 emissions can be reduced by 856.2 t/a due to the solar energy introduced into the system. Besides, the dynamic investment payback period will change from 3.01 years to 3.56 years when the fuel price (Pfuel) ranges from 0.8Pfuel to1.2Pfuel.
Original languageEnglish
Pages (from-to)1583-1594
Number of pages12
JournalJournal of Thermal Science
Issue number4
Early online date8 Jun 2023
Publication statusPublished - Jul 2023

Bibliographical note

Copyright © Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature, 2023. This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use [], but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: Funding Information: This research was financially supported by the Ph.D. research startup foundation of Northeast Electric Power University (BSJXM-2020209).


  • combined cooling heating and power (CCHP) system, distributed energy system, optimization, waste heat recovery, ICE


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