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三复叠制冷系统的多目标优化与4E(能量、㶲、经济性、环境影响)分析

Multi-objective optimization and 4E (energy, exergy, economy, environmental impact) analysis of a triple cascade refrigeration system.

作者信息

Kayes Imrul, Ratul Raditun E, Abid Abyaz, Majmader Fawaz Bukht, Khan Yasin, Ehsan M Monjurul

机构信息

Department of Mechanical and Production Engineering (MPE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh.

出版信息

Heliyon. 2024 May 23;10(11):e31655. doi: 10.1016/j.heliyon.2024.e31655. eCollection 2024 Jun 15.

DOI:10.1016/j.heliyon.2024.e31655
PMID:38845952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11154229/
Abstract

The post-pandemic energy crisis and ever-increasing environmental degradation necessitate researchers to scrutinize refrigeration systems, major contributors to these issues, for minimal environmental impact and maximum performance. Thus, this study aims to comprehensively examine a triple cascade refrigeration system (TCRS) equipped with hydrocarbon refrigerants (1-butene/Heptane/m-Xylene). This system is specifically designed for ultra-low temperature applications, including vaccine storage, quick-freezing, frozen food preservation, cryogenic processes, and gas liquefaction. The investigation integrates conventional thermodynamic analysis with economic and environmental impact assessments, and finally multi-objective optimization (MOO) to ascertain optimal operating conditions for the system. The effect of (1) evaporator temperature, T (2) condenser temperature, T (3) Lower Temperature Circuit (LTC) condenser temperature, T (4) Mid Temperature Circuit (MTC) condenser temperature, T and (5) Cascade Condenser temperature difference, on three objective functions (COP, exergy efficiency, and overall plant cost) have been investigated employing a parametric analysis. Subsequently, quadratic equations for these objective functions are generated using the Box-Behnken method, and MOO utilizing the Genetic algorithm has been performed to maximize COP and exergy efficiency while minimizing the overall cost rate. The decision-making techniques TOPSIS and LINMAP are used to retrieve a unique solution from the Pareto Front, and the system performance has been assessed at the optimal point. The optimization result demonstrates that for the 10-kW capacity TCRS, COP, exergy efficiency, and total plant cost are 0.71, 0.51, and 38262.05 $/year respectively, at optimum condition (T = -101.023 , T = 36.545 , T = - 69.047 and T = - 34.651 ). Exergy analysis identifies HTC compressor (19.3 %) and throttle valve (15.5 %) as key contributors to total exergy destruction, while economic analysis underscores capital and maintenance costs (72 %) as the primary contributors to the overall cost, with evaporator (43 %) and condenser (20 %) accounting for 63 % of this cost.

摘要

疫情后的能源危机以及日益严重的环境恶化,促使研究人员仔细审视制冷系统,这些系统是造成上述问题的主要因素,要使其对环境的影响降至最低并实现最高性能。因此,本研究旨在全面考察配备碳氢制冷剂(1-丁烯/庚烷/间二甲苯)的复叠式制冷系统(TCRS)。该系统专为超低温应用而设计,包括疫苗储存、速冻、冷冻食品保鲜、低温工艺以及气体液化。该研究将传统热力学分析与经济和环境影响评估相结合,最终通过多目标优化(MOO)来确定系统的最佳运行条件。通过参数分析研究了(1)蒸发器温度T、(2)冷凝器温度T、(3)低温回路(LTC)冷凝器温度T、(4)中温回路(MTC)冷凝器温度T和(5)复叠式冷凝器温差对三个目标函数(性能系数、火用效率和全厂总成本)的影响。随后,使用Box-Behnken方法生成这些目标函数的二次方程,并利用遗传算法进行多目标优化,以最大化性能系数和火用效率,同时最小化总成本率。使用TOPSIS和LINMAP决策技术从帕累托前沿检索唯一解,并在最优点评估系统性能。优化结果表明,对于10千瓦容量的TCRS,在最佳条件(T = -101.023 ,T = 36.545 ,T = -69.047 和T = -34.651 )下,性能系数、火用效率和全厂总成本分别为0.71、0.51和38262.05美元/年。火用分析确定HTC压缩机(19.3%)和节流阀(15.5%)是总火用损失的主要贡献者,而经济分析强调资本和维护成本(72%)是总成本的主要贡献者,其中蒸发器(43%)和冷凝器(20%)占该成本的63%。

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