Model-based commissioning for filters in room air-conditioners |
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| Affiliation: | 1. Department of Urban and Environmental Engineering, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501, Japan;2. Electronics Development Center, Research and Development Center, YANMAR Co., Ltd., 1600 Umegahara, Sakata-gun, Maibara-cho, Shiga, Japan;1. Chemical Reactor Engineering Centre (CREC), Faculty of Engineering Science, Department of Chemical And Biochemical Engineering, University of Western Ontario, London, Ontario, N6A 5B9, Canada;2. Unidad Académica de Ciencias Químicas, Programa de Ingeniería Química, Universidad Autónoma de Zacatecas, 98000 Zacatecas, Campus UAZ Siglo XXI, 98168, Mexico;1. Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-shi, Fukuoka 816-8580, Japan;2. Japan Society for the Promotion of Science, Chiyoda-ku, Tokyo 102-8471, Japan;3. Art, Science and Technology Center for Cooperative Research, Kyushu University, Kasuga-shi, Fukuoka 816-8580, Japan;1. School of Energy and Environment, Southeast University, Nanjing 210096, China;2. Department of Building Science, Tsinghua University, Beijing 100084, China;3. Beijing Key Lab of Indoor Air Quality Evaluation and Control, Beijing 100084, China;1. Department of Environmental Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran;2. Department of Environmental Health Engineering, Faculty of Health, Iran University of Medical Sciences, Tehran, Iran;3. ECE Department, Tarbiat Modares University, Tehran, Iran;1. Tianjin Key Laboratory of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Weijin Road 92, Nankai District, Tianjin, 300072, China;2. School of Architecture, Tsinghua University, Haidian District, Beijing, 100084, China |
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| Abstract: | This paper proposes a model that can estimate filter resistance using estimated air-conditioner indoor unit air flow rate, which is tightly related to filter fouling conditions. Two sorts of value are used as inputs to estimate air flow rate. One is the power consumed by the fan in the indoor unit of a room air-conditioner and the other is the thermal performance of a room air-conditioner. For the room air-conditioners that the real-time indoor unit fan power consumption is available, fan power consumptions are used as inputs to estimate filter resistance. For the room air-conditioners that are equipped with refrigerant pressure and temperature sensors, this model estimates filter resistance using refrigerant pressure and temperature, air temperature or enthalpy difference between supply and indoor air. This model was validated using a really running multi-evaporator Gas-engine Heat Pump (GHP) system. The maximum and average difference between estimated and measured filter resistance are 12.72% and 5.89% when using the fan power consumption as inputs. When using the air-conditioner thermal performance data, the maximum and average estimation errors are 13.12% and 5.96%. The validation results show that this model is accurate enough for estimating filter resistance. Based on this model, the method for commissioning filters in air-conditioner is discussed. This method is useful for automatically estimating filter resistance and reminding users timely to clean or replace a filter to prevent wasting energy and to maintain desirable indoor environment. |
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