Abstract

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. The thermoeconomic optimization for Stirling heat pump is reported. The heating load per unit total cost for the heat pump is proposed as objective functions for the optimization. The optimum performance parameters which maximize the objective functions are investigated. Since the optimization technique consists of both investment and energy consumption costs, the obtained results are more general and realistic.

Highlights

  • Throughout thermodynamics cycle approaches of refrigerators and heat pump systems, Stirling cycle is one of the important cycle models with regeneration

  • According to the theory of classical thermodynamics, the Stirling cycle may possess the condition of perfect regeneration through the use of a reversible regenerator and its theoretical efficiency can approach that of a reversible Carnot cycle

  • Curzon and Ahlborn were introduced the concept of finite time thermodynamics[1] by performing a new work on Carnot heat engine where as they high lighted the effectiveness of addressed engine that operates at maximum power is calculated with their introduced [Km

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Summary

Introduction

Throughout thermodynamics cycle approaches of refrigerators and heat pump systems, Stirling cycle is one of the important cycle models with regeneration. According to the theory of classical thermodynamics, the Stirling cycle may possess the condition of perfect regeneration through the use of a reversible regenerator and its theoretical efficiency can approach that of a reversible Carnot cycle. Huge amounts of attentions have been made by various Scientists on the addressed cycles. Curzon and Ahlborn were introduced the concept of finite time thermodynamics[1] by performing a new work on Carnot heat engine where as they high lighted the effectiveness of addressed engine that operates at maximum power is calculated with their introduced [Km

Stirling heat pump model
Thermoeconomic optimization
Conclusions

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