Published April 2014 | Version v1
Journal article

Thermodynamic optimization of Stirling heat pump based on multiple criteria

  • 1. Renewable Energies and Environmental Department, Faculty of New Science and Technologies, University of Tehran, Tehran (Iran, Islamic Republic of)
  • 2. Department of Petroleum Engineering, Ahwaz Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz (Iran, Islamic Republic of)
  • 3. Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041 (South Africa)
  • 4. Institut de Recherche en Génie Chimique et Pétrolier (IRGCP), Paris Cedex (France)
  • 5. Laboratoire d'Energétique et de Mécanique Théorique et Appliquée, ENSEM, 2, avenue de la Forêtde Haye 60604, Vandoeuvre 54518 (France)

Description

Highlights: • An investigation is made on thermodynamic evaluation of a Stirling heat pump. • The present analysis provides a good theoretical guidance for designing of such systems. • Optimum Pareto frontier has been determined by implementing NSGA-II method. • Optimum solutions have been chosen by executing LINMAP, Fuzzy and TOPSIS decision making approaches. - Abstract: In this research work, a connectionist investigation of irreversible Stirling heat pump cycles that includes both internal and external irreversibilities together finite heat capacities of external reservoirs was carried out. Finite temperature difference between the external fluids and the working fluids through the heat sink and heat source causes an external irreversibility. On the other hand, regenerative heat loss and entropy generation through the cycle are the main source of the internal irreversibilities generation. Three objective functions including the heating load (RH) and coefficient of performance (COP) have been considered simultaneously maximized, on the other hand at the same time the input power of the Stirling heat pump is minimized. To assess this idea, Multi-objective optimization approach be founded on NSGA-II method has been utilized which following variables have been considered as decision variables such as 1 – the effectiveness of the hot-side heat exchanger, 2 – the performance of the cold-side heat exchanger, 3 – the rate of heat capacitance through the heat sink, temperature ratio ((Th)/(Tc) ), 4 – rate of the heat capacitance through the heat source and 5-temperature of cold side. By applying addressed multi-objective optimization approach, Pareto optimal frontier determined and utilizing different decision-making techniques that includes the LINMAP, TOPSIS and fuzzy Bellman–Zadeh approaches help us to figure out a final optimal solution

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2014.01.031

Additional details

Identifiers

DOI
10.1016/j.enconman.2014.01.031;
PII
S0196-8904(14)00075-2;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
80
Journal Page Range
p. 319-328
ISSN
0196-8904
CODEN
ECMADL

Optional Information

Copyright
Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.