Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems-A review

被引：330

作者：

Mohanraj, M. ^{[1
]}

Jayaraj, S. ^{[2
]}

Muraleedharan, C. ^{[2
]}

机构：

[1] Info Inst Engn, Dept Mech Engn, Coimbatore 641107, Tamil Nadu, India

[2] Natl Inst Technol Calicut, Dept Mech Engn, Calicut 673601, Kerala, India

来源：

RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2012年 / 16卷 / 02期

关键词：

Artificial neural network modeling; Refrigeration; air conditioning and heat pump systems; VAPOR-COMPRESSION REFRIGERATION; ADIABATIC CAPILLARY TUBES; MASS-FLOW RATES; THERMODYNAMIC PROPERTIES; PERFORMANCE PREDICTION; THERMOPHYSICAL PROPERTIES; INTELLIGENCE TECHNIQUES; GENETIC ALGORITHM; EXERGY ANALYSIS; ENERGY-SYSTEMS;

D O I：

10.1016/j.rser.2011.10.015

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper, an attempt has been made to review the applications of artificial neural networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat pump (RACHP) systems. The studies reported are categorized into eight groups as follows: (i) vapour compression systems (ii) RACHP systems components, (iii) vapour absorption systems, (iv) prediction of refrigerant properties (v) control of RACHP systems, (vi) phase change characteristics of refrigerants, (vii) heat ventilation air conditioning (HVAC) systems and (viii) other special purpose heating and cooling applications. More than 90 published articles in this area are reviewed. Additionally, the limitations with ANN models are highlighted. This paper concludes that ANN can be successfully applied in the field of RACHP systems with acceptable accuracy. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：1340 / 1358

页数：19

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