Multi-objective optimization of the operation strategies for heat pump tumble dryers with different fabric types

IF 6.1 2区工程技术 Q2 ENERGY & FUELS

Applied Thermal Engineering Pub Date : 2025-05-07 DOI:10.1016/j.applthermaleng.2025.126752

Haerang Jo , Dongchan Lee , Soonbum Kwon , Yongju Lee , Yongchan Kim

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Abstract

The heat and mass transfers in a heat pump tumble dryer are significantly influenced by the fabric properties and operating factors, including the temperature, humidity, and volumetric airflow rate. In this study, optimal operating strategies for heat pump tumble dryers with various fabric types are developed in terms of the compressor frequency and fan rotational speed. The evaporation characteristics of each fabric type are measured under various operating conditions. A heat pump tumble dryer simulation model for each fabric type is developed by combining a heat pump model with a tumble drum model based on experimental correlations. Consequently, the optimal fan speed for each fabric type is determined at a specific compressor frequency. Increasing the compressor frequency leads to increased energy consumption, resulting in a trade-off between the Moisture Extraction Rate (MER) and Specific Moisture Extraction Rate (SMER). Moreover, the energy efficiency of the system is evaluated through the coefficient of performance. Additionally, Pareto-optimal solutions for each fabric type are determined using multi-objective optimization. Under the condition of maximum SMER, the MERs and SMERs increased by 7.4–9.4% and 3.1–4.5%, respectively, compared with those in the conventional energy-priority mode. Similarly, under the condition of maximum MER, the MERs and SMERs increased by 6.7–9.9% and 7.9–12.1%, respectively, compared with those in the conventional performance-priority mode.

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不同织物类型热泵滚筒式干燥机运行策略的多目标优化

热泵滚筒式干衣机的传热传质受到织物性能和操作因素的显著影响，包括温度、湿度和容积气流速率。研究了不同织物类型的热泵滚筒式干燥机在压缩机频率和风机转速下的最优运行策略。在不同的操作条件下，测量了每种织物的蒸发特性。将热泵模型与基于实验相关性的转鼓模型相结合，建立了每种织物类型的热泵转鼓干燥机仿真模型。因此，在特定的压缩机频率下，确定了每种织物类型的最佳风扇转速。增加压缩机频率会导致能耗增加，从而导致抽湿率（MER）和比抽湿率（SMER）之间的权衡。并通过性能系数对系统的能效进行了评价。此外，利用多目标优化确定了每种织物类型的帕累托最优解。在最大SMER条件下，与常规能量优先模式相比，MERs和SMER分别增加了7.4-9.4%和3.1-4.5%。同样，在最大MER条件下，与常规性能优先模式相比，MERs和SMERs分别增加了6.7-9.9%和7.9-12.1%。

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来源期刊

Applied Thermal Engineering 工程技术-工程：机械

CiteScore

11.30

自引率

15.60%

发文量

1474

审稿时长

57 days

期刊介绍： Applied Thermal Engineering disseminates novel research related to the design, development and demonstration of components, devices, equipment, technologies and systems involving thermal processes for the production, storage, utilization and conservation of energy, with a focus on engineering application. The journal publishes high-quality and high-impact Original Research Articles, Review Articles, Short Communications and Letters to the Editor on cutting-edge innovations in research, and recent advances or issues of interest to the thermal engineering community.