单效蒸汽吸收式制冷(VAR)循环性能系数(COP)相关性的比较分析

M. Khan, Sambhaji T. Kadam, A. Kyriakides, Ibrahim Hassan, A. Papadopoulos, Mohammad Sohel Rahman, P. Seferlis
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引用次数: 0

摘要

考虑单效蒸汽吸收式制冷(VAR)循环,对大多数吸收式制冷剂对进行了评价。基于绩效系数(COP)的VAR模型可以实现VAR的快速绩效评估。为了取代传统制冷剂,需要开发高效、环保的流体配对。基于运行参数的COP模型对于单效应VAR系统来说是稀缺的,而且用于COP估计的相关性也很少。本文比较了五个基于性能的模型在文献报道的操作吸收冷却系统与各种制冷剂和吸收剂配对。综合平均绝对百分比误差(MAPE)分析对不同流体配对的超过1601个数据点的5个报告相关性进行了分析。结果显示,除了最近开发的流体参数COP相关预测外,RMSD和MAPE值似乎明显更高。这表明,早期报道的相关性只考虑了特定的流体配对,而不能考虑不同的流体配对,这被认为是最近报道的相关性,导致COP的预测能力显著提高。这项研究的发现强调,新注册的COP预测相关性可能有利于开发新的单效应VAR循环,因为它同时考虑了操作参数和流体参数。
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Comparative Analysis of Coefficient of Performance (COP) Correlations of Single-Effect Vapor Absorption Refrigeration (VAR) Cycle
Most of the absorbent-refrigerant pairings are evaluated considering single-effect vapour absorption refrigeration (VAR) cycle. The coefficient of performance (COP) based modelling of VAR enables its quick performance evaluation. The development of efficient and environmentally benign fluid pairing is required to replace conventional refrigerants. Operating parameters-based COP models are scarce for single-effect VAR systems, and fewer correlations are available for the COP estimation. The paper compares five performance-based models reported in the literature for operating absorption cooling systems with various refrigerant and absorbent pairing. The comprehensive mean absolute percentage error (MAPE) analysis was performed for five reported correlations for more than 1601 data points of different fluid pairings. Results revealed that RMSD and MAPE values seem significantly higher for the reported correlations apart from the recently developed COP correlation accounted for fluid parameters in prediction. This indicates that the earlier reported correlations only accounted for the specific fluid pairing and could not incorporate different fluid pairing, which has been considered a recently reported correlation that resulted in the significantly improved prediction ability for COP. The finding from this study highlighted that the newly registered COP prediction correlation could be beneficial for developing new single-effect VAR cycles as it accounted for both the operating parameters and fluid parameters.
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