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author:

Liu, X. (Liu, X..) [1] | Lu, P. (Lu, P..) [2] | Wang, D. (Wang, D..) [3] | Liu, Z. (Liu, Z..) [4] | Lu, K. (Lu, K..) [5]

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EI Scopus

Abstract:

This study focuses on waste heat recovery, renewable energy storage, and cascade energy utilization by proposing a polygeneration system that integrates a Carnot battery, an absorption refrigeration cycle, and multi-stage flash desalination. This system is engineered to provide cooling, heating, electricity, and freshwater. It utilizes a dual-pressure condensation heat pump to facilitate energy output across different stages, with the low-temperature condenser connected to the absorption refrigeration cycle, while one side of the high-temperature condenser acts as thermal energy storage. The provision of freshwater and domestic hot water primarily relies on excess heat from the absorption refrigeration cycle. In this research, the optimal working fluid for the Carnot battery was identified. Subsequently, the study analyzed the impact of several operating parameters on the system's thermodynamic performance and economy, including the outlet water temperature of the low-temperature condenser, the degree of superheat of the working fluid in the heat pump evaporator, the temperature of the storage tank, the isentropic efficiency of the compressor, and the mass flow rate ratio of the working fluid in the low/high-temperature condensers. Among them, the mass flow rate ratio of the working fluid in the low/high-temperature condensers has the most significant impact on the system, and the overall energy efficiency and payback period of the system increase by 138.51 % and 174.58 %, respectively. A multi-objective optimization of the system was performed using the Non-dominated Sorting Genetic Algorithm II to identify the optimal design parameters for the integrated generation system. The optimized system achieved total energy efficiency, exergy efficiency, and payback period of 23.26 %, 12.56 %, and 4.96 years, respectively. © 2025 Elsevier Ltd

Keyword:

Multi-objective optimization Polygeneration system Thermal energy storage

Community:

  • [ 1 ] [Liu X.]College of Chemical Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Liu X.]Institute of Nuclear Energy Technology, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Lu P.]College of Chemical Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Wang D.]College of Chemical Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Wang D.]Institute of Nuclear Energy Technology, Fuzhou University, Fuzhou, 350108, China
  • [ 6 ] [Liu Z.]College of Chemical Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 7 ] [Lu K.]College of Chemical Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 8 ] [Lu K.]Institute of Nuclear Energy Technology, Fuzhou University, Fuzhou, 350108, China

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Source :

Applied Thermal Engineering

ISSN: 1359-4311

Year: 2025

6 . 1 0 0

JCR@2023

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 2

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