A novel clustering based operating strategy of heat pump desiccant wheel system for low-humidity environments

IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Yixiang Huang, Shaochen Tian, Haoran Liu, Lei Huang, Shangao Li, Qinbao Wang, Xing Su
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Abstract

In various industrial manufacturing scenarios, maintaining a low humidity environment with a low dew point temperature (DPT) is crucial. Significant energy consumption is incurred during dehumidification processes. The Heat Pump Desiccant Wheel (HPDW) system emerges as an effective solution to regulate indoor temperature and humidity under such conditions. To improve the energy efficiency of HPDW systems, this study proposes a load clustering-based methods to optimize operation and develop tailored strategies. A comparative analysis of operating strategies and model-based optimization for a selected low-humidity environment is conducted. The results reveal that strategies integrating outdoor humidity ratio with hybrid conditions are effective in achieving the desired low humidity environment. Under these strategies, the system’s indoor humidity failure duration is reduced to 48 h and 197 h annually, respectively. The low-humidity environment can be maintained at a maximum indoor humidity ratio of 4.0 g/kg DA and 4.5 g/kg DA, respectively. Furthermore, the load clustering-based strategy successfully decouples control parameters and enhances the dehumidification performance, particularly during heating season and transitional seasons, through improved regeneration processes. Additionally, adopting a non-minimum outdoor air volume strategy achieves a notable 8.3 % energy savings, equivalent to approximately 15,000 kWh. When applying a strategy based on minimum outdoor air flow, maximum indoor humidity ratio of 3.89 g/kg DA and system’s failure duration of 7 h can be achieved. The design outdoor condition in Shanghai, with a temperature of 36.8 °C and a humidity ratio of 26.13 g/kg DA, can be selected as the most unfavorable input parameters for system design and operation during the cooling season. This study offers practical insights into optimizing HPDW systems for energy-efficient dehumidification in low humidity industrial environments.
在各种工业生产场景中,保持低露点温度(DPT)的低湿度环境至关重要。在除湿过程中会消耗大量能源。在这种情况下,热泵干燥轮(HPDW)系统成为调节室内温度和湿度的有效解决方案。为了提高 HPDW 系统的能效,本研究提出了一种基于负载聚类的方法来优化运行并制定有针对性的策略。针对选定的低湿度环境,对运行策略和基于模型的优化进行了比较分析。结果表明,将室外湿度比与混合工况相结合的策略可有效实现理想的低湿度环境。在这些策略下,系统的室内湿度故障持续时间分别减少到每年 48 小时和 197 小时。在最大室内湿度比分别为 4.0 g/kg DA 和 4.5 g/kg DA 时,可维持低湿度环境。此外,基于负荷聚类的策略成功地解耦了控制参数,并通过改进再生过程提高了除湿性能,尤其是在采暖季和过渡季。此外,采用非最小室外风量策略可显著节约 8.3% 的能源,相当于约 15,000 千瓦时。当采用基于最小室外风量的策略时,可实现 3.89 g/kg DA 的最大室内湿度比和 7 h 的系统故障持续时间。上海的室外设计温度为 36.8 °C,湿度比为 26.13 g/kg DA,可作为制冷季节系统设计和运行的最不利输入参数。这项研究为优化 HPDW 系统,在低湿度工业环境中实现节能除湿提供了实用见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy and Buildings
Energy and Buildings 工程技术-工程:土木
CiteScore
12.70
自引率
11.90%
发文量
863
审稿时长
38 days
期刊介绍: An international journal devoted to investigations of energy use and efficiency in buildings Energy and Buildings is an international journal publishing articles with explicit links to energy use in buildings. The aim is to present new research results, and new proven practice aimed at reducing the energy needs of a building and improving indoor environment quality.
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