Journal ArticleDOI
Recent developments in simulation techniques for vapour-compression refrigeration systems
TLDR
Prospective methods for future simulation of refrigeration systems, such as noise-field simulation, simulation with knowledge engineering methodology and calculation methods for nanofluid properties, are introduced briefly.Abstract:
Simulation has been widely used for performance prediction and optimum design of refrigeration systems. A brief review on history of simulation for vapour-compression refrigeration systems is done. The models for evaporator, condenser, compressor, capillary tube and envelop structure are summarized. Some developing simulation techniques, including implicit regression and explicit calculation method for refrigerant thermodynamic properties, model-based intelligent simulation methodology and graph-theory based simulation method, are presented. Prospective methods for future simulation of refrigeration systems, such as noise-field simulation, simulation with knowledge engineering methodology and calculation methods for nanofluid properties, are introduced briefly.read more
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Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review
TL;DR: In this article, 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.
Journal ArticleDOI
Heat and cold storage using phase change materials in domestic refrigeration systems: The state-of-the-art review
TL;DR: In this paper, a review of the experimental efforts as well as modeling approaches to study the application of phase change materials in domestic refrigerators is presented and, the future and potential promising applications of PCM in domestic refrigerator are discussed.
Journal ArticleDOI
A review of nanorefrigerants: Flow characteristics and applications
TL;DR: In this paper, a review is performed in order to clarify effect of nanorefrigerant properties (such as nanoparticle type, size and concentration) on heat transfer and pressure drop compared to pure refrigerant.
Journal ArticleDOI
Optimization of refrigeration system with gas-injected scroll compressor
TL;DR: In this paper, a model of the refrigeration system with a gas-injected scroll compressor is developed, and the effects of gas injection on the system and component parameters are investigated.
Journal ArticleDOI
Application of artificial neural network for predicting performance of solid desiccant cooling systems – A review
TL;DR: In this paper, an attempt has been made to review the applications of artificial neural network (ANN) for predicting the performance of solid desiccant cooling systems Different types of neural networks are applied to model the SDSs with use of experimental data, an ANN model was developed which is based on different algorithms Available experimental data were divided into two categories for training and testing of the ANN model Later on, trained ANN model is tested for predicting system performance based on various input and output parameters such as air stream flow rates, temperatures and humidity ratios, pressure drop, dehumidifier
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Journal ArticleDOI
Investigation on Convective Heat Transfer and Flow Features of Nanofluids
Yimin Xuan,Qiang Li +1 more
TL;DR: In this article, an innovative new class of heat transfer fluids can be engineered by suspending metallic nanoparticles in conventional heat-transfer fluids, which are expected to exhibit high thermal conductivities compared to those of currently used heat transfer fluid, and they represent the best hope for enhancing heat transfer.
Journal ArticleDOI
Compact heat exchangers
TL;DR: The third edition of the second edition as discussed by the authors was published in 1964 and contains basic test data for eleven new surface configurations, including some of the very compact ceramic matrices, in both the English and the Systeme International (SI) system of units.
Journal ArticleDOI
Mechanisms of heat flow in suspensions of nano-sized particles (nanofluids)
TL;DR: In this paper, the authors explore four possible explanations for the anomalous thermal conductivity of nanofluids: Brownian motion of the particles, molecular-level layering of the liquid at the liquid/particle interface, the nature of heat transport in the nanoparticles, and the effects of nanoparticle clustering.