| 研究生: |
朱傳捷 CHU, CHUAN-CHIEH |
|---|---|
| 論文名稱: |
辦公空間中冰水盤管調溫設定對熱舒適與能耗的影響 Impact of Chilled Water Coil Temperature Settings on Thermal Comfort and Energy consumption in office space |
| 指導教授: |
潘振宇
Pan, Chen-Yu |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 建築學系 Department of Architecture |
| 論文出版年: | 2026 |
| 畢業學年度: | 114 |
| 語文別: | 中文 |
| 論文頁數: | 100 |
| 中文關鍵詞: | 冰水盤管 、熱舒適性 、能源效率 |
| 外文關鍵詞: | Chilled Water Coil, Thermal Comfort, Energy Efficiency |
| 相關次數: | 點閱:30 下載:0 |
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在現代建築營運中,空調系統佔辦公大樓總能耗高達 45% 至 50%。在亞熱帶氣候的台灣,如何在滿足室內熱舒適度以維持員工工作效率的前提下,有效降低空調能源消耗,已成為建築邁向淨零碳排與永續管理的迫切課題。本研究旨在將盤管單元獨立抽離,探討辦公空間中冰水盤管系統的極端操作控制,透過出水溫度設定與風機運轉頻率之交互作用,分析其對室內空間溫度分佈分佈、人體熱舒適指標(PMV)及能耗之綜合影響。
本研究於56.85 m2 的辦公場域進行實驗,以冰水主機出水溫度(5°C 至 15°C)與風機運轉頻率(20Hz/1160CMH、32.7Hz/2320CMH、45Hz/3300CMH)為實驗變因,量測室內各處三種垂直高度(60cm、120cm、160cm)之溫熱環境數據,運用標準差、變異係數進行量化評估。實驗結果顯示,以 20Hz/5°C、32.7Hz/13°C 與 45Hz/15°C 三組組合最能使室內平均溫度接近 25°C 及熱中性的設計目標。然而,深入分析溫度分佈與風速,發現在20Hz設定下,容易導致強烈的垂直溫度分層,頭足部溫差明顯偏高且需耗時較久才能接近舒適區間。相對地, 45Hz設定能促進空氣混合並使溫度分佈更為均勻,但其鄰近出風側及120cm之局部微風速接近 0.2 m/s 的國際熱舒適上限,有較明顯的風速感受。
研究發現在相同風機頻率設定下,出水溫度設定越高,室內溫度越高,空調能耗就越低;相同出水溫度條件下,風機頻率越高,則室內溫度越低,空調能耗越高,此外,若在開機首個小時將出水溫度調降至 5°C,不僅能大幅提升初期降溫斜率,全日運轉能耗更可節省高達 1.34 kWh。最後,本研究運用 TOPSIS 多目標決策評估方法,綜合權衡符合熱舒適PMV的時間長度、溫度分佈均勻度與全日累積能耗。排序結果顯示32.7Hz/13°C能在節能與舒適度間取得最佳折衷的運轉策略。本研究成果除可為既有辦公建築提供具體直觀的局部空調操作指引外,亦為未來設計傳統空調與輻射冷房搭配之「混和型空調系統」時,在防結露邊界控制與局部溫熱環境預測上奠定了關鍵的基礎科學數據。
HVAC systems account for 45%–50% of office building energy consumption. In subtropical Taiwan, balancing energy efficiency and thermal comfort is critical. This study isolates the coil unit to investigate the extreme operational control of a chilled water coil system in a 56.85 m2 office, analyzing the interactive effects of water temperatures (5°C–15°C) and fan frequencies (20/32.7/45Hz) on temperature distribution, PMV, and energy consumption.Results indicate that 20Hz/5°C, 32.7Hz/13°C, and 45Hz/15°C combinations best achieve thermal neutrality near 25°C. Lower frequencies (20Hz) cause significant vertical stratification, while higher frequencies (45Hz) enhance air mixing but introduce a noticeable draft near the 0.2 m/s comfort limit. Furthermore, lowering the water temperature to 5°C in the first hour accelerates initial cooling, saving 1.34 kWh daily. Through TOPSIS multi-objective evaluation, 32.7Hz/13°C is identified as the optimal strategy balancing comfort duration, uniformity, and energy use. These findings provide practical operation guidelines for existing buildings and essential scientific data for boundary control and thermal environment prediction in future hybrid conventional-radiant cooling systems.
(CEN), E. C. f. S. (2019). Energy performance of buildings—Part 1: Indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor air quality, thermal environment, lighting and acoustics(EN 16798-1:2019).
American Society of Heating, R. a. A.-C. E. (2013). Thermal environmental conditions for human occupancy (ANSI/ASHRAE Standard 55-2013).
Cao, B., Zhu, Y., Ouyang, Q., Zhou, X., & Huang, L. (2011). Field study of human thermal comfort and thermal adaptability during summer and winter in Beijing. Lancet, 43, 1051–1056. https://doi.org/10.1016/j.enbuild.2010.09.025
Esfandiari, M., Zaid, S. M., Ismail, M. A., Hafezi, M. R., Asadi, I., & Mohammadi, S. (2021). A Field Study on Thermal Comfort and Cooling Load Demand Optimization in a Tropical Climate. Sustainability, 13(22), 12425.
Fanger, P. (1970). Thermal comfort. Analysis and applications in environmental engineering. Copenhagen: Danish Technical Press.
Frontczak, M., & Wargocki, P. (2011). Literature survey on how different factors influence human comfort in indoor environments. Building and Environment, 46(4), 922–937. https://doi.org/https://doi.org/10.1016/j.buildenv.2010.10.021
Galindo, R. M. (2019). Air Conditioning Condensate: A Potential Water Source and a Creeping Destroyer. Proceedings of the 2nd International Conference on Technological Challenges for a Better World 2019 (ICTCBW 2019) (Paper ID: GS-17), Cebu City, Philippines.
Gržinić, G., Wolska, L., Rybak, B., Olkowska, E., & Nyka, M. (2025). Managing the quality of indoor air in office rooms: Looking for a solution. International Journal of Environmental Science and Technology, 22(14), 14591–14606. https://doi.org/10.1007/s13762-025-06568-1
Hajidavalloo, E. (2007). Application of evaporative cooling on the condenser of window-air-conditioner. Applied Thermal Engineering, 27(11), 1937–1943. https://doi.org/https://doi.org/10.1016/j.applthermaleng.2006.12.014
Humphreys, M. A., & Fergus Nicol, J. (2002). The validity of ISO-PMV for predicting comfort votes in every-day thermal environments. Energy and Buildings, 34(6), 667–684. https://doi.org/https://doi.org/10.1016/S0378-7788(02)00018-X
Kawakubo, S., Sugiuchi, M., & Arata, S. (2023). Office thermal environment that maximizes workers’ thermal comfort and productivity. Building and Environment, 233, 110092. https://doi.org/https://doi.org/10.1016/j.buildenv.2023.110092
Krawczyk, D., Ruiz de Adana, M., Moreno-Pérez, M. F., Bullejos Marín, D., Teleszewski, T., & Teilans, A. (2022). Sustainable buildings. Designing and management of cost-effective and eco-friendly systems. https://doi.org/10.24427/978-83-67185-29-5
Lan, L., Wargocki, P., & Lian, Z. (2011). Quantitative measurement of productivity loss due to thermal discomfort. Energy and Buildings, 43(5), 1057–1062. https://doi.org/https://doi.org/10.1016/j.enbuild.2010.09.001
Mamani, T., Herrera, R. F., Muñoz La Rivera, F., & Atencio, E. (2022). Variables That Affect Thermal Comfort and Its Measuring Instruments: A Systematic Review. Sustainability, 14. https://doi.org/10.3390/su14031773
Ning, B., Sekhar, C., Schiavon, S., Tham, K. W., Cheong, D., Jia, H., & Anand, P. (2023). Experimental and simulation assessment of an adaptable cooling coil in the tropics. Journal of Building Engineering, 64, 105681. https://doi.org/https://doi.org/10.1016/j.jobe.2022.105681
Seo, B., Yoon, Y., Lee, K. H., & Cho, S. (2023). Comparative Analysis of ANN and LSTM Prediction Accuracy and Cooling Energy Savings through AHU-DAT Control in an Office Building. Buildings, 13(6), 1434.
SINKO. (2020). 空気調和機(AHU)シリーズ. In. 大阪市.
Standardization, I. O. f. (2005). Ergonomics of the thermal environment — Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria (ISO 7730:2005).
Titus. (2018). Engineering Guidelines_Grillers & Diffusers.
Tsay, Y.-S., Chen, R., & Fan, C.-C. (2022). Study on thermal comfort and energy conservation potential of office buildings in subtropical Taiwan. Building and Environment, 208, 108625. https://doi.org/https://doi.org/10.1016/j.buildenv.2021.108625
Xia, L., Deng, S., & Chan, M.-y. (2010). Effect of the Indoor Environment on the Condensing Rate and the Air-side Sensible Heat Transfer Resistance of a Direct Expansion Cooling Coil. Indoor and Built Environment - INDOOR BUILT ENVIRON, 19, 513–519. https://doi.org/10.1177/1420326X10378804
井上宇市. (1982.1). 空気調和ハンドブック (改訂3版 ed.). 丸善出版.
內政部、經濟部. (2013). 《新建建築物節約能源設計標準》附件〈建築空調尖峰負荷之標準計算方式〉.
內政部建築研究所. (2024). 建築能效評估手冊(BERS). 內政部建築研究所.
王啟川. (2007). 熱交換設計 (初版 ed.). 五南文化.
台灣電力公司. (2025). 台灣電力公司電價表.
張文瑞, & 羅新衡. (2021). 除濕機能源效率管理現況研究 [Current Situation Study on Energy Efficiency Management of Dehumidifiers in Taiwan]. 冷凍空調&能源科技(127), 58–65. https://doi.org/10.29911/jehvace_new.202105_(127).0005
陳冠宇, 蔡瑞益, 張永鵬, & 黃錦文. (2000). 空氣含濕率與鰭片式熱交換器性能關係之研究 [The Relation between Air Moisture Content and Performance of Fin Type Heat Exchangers]. 中原學報, 28(3), 59–68. https://doi.org/10.6358/jcyu.200009.0059
陳聰明. (2001). 家用冷凍空調能力本位訓練教材-簡易空調負荷計算. 中華民國職業訓練研究發展中心
陳嬿如, & 蔡尤溪. (2013). 電子廠外氣空調箱冰水盤管設計迴路及溫控之評價研究 [The Evaluation of the Chilled Water Flow Path and Temperature Control for Cooling Coils of MAU Used in Electronic Industry]. 冷凍空調與能源科技雜誌(83), 50–58.
黃國倉. (2006). 辦公建築生命週期節能與二氧化碳減量評估之研究.
黃瑞隆, 陸., 黃建民,謝文健,謝建新. (2018). 空調工程與設計-含供暖與通風 (Spitler & Parker & McQuiston: Heating, Ventilating, and Air Conditioning-Analysis and Design 5/E) 高立圖書.
經濟部能源署. (2023). 《111年度非生產性質行業能源查核年報》. 經濟部能源署 Retrieved from https://ea01.moeaea.gov.tw/e0406/01/Knowledge/knowledge_more?id=62a1b665024e48bbaee45648565110f0
電路設計學習指南, T. W. (2025, 4月9日). 交流電的功率三要素 | 什麼是實功率、虛功率和視在功率?. Retrieved 6月4日 from https://techweb.rohm.com.tw/product/circuit-design/electric-circuit-design/20887/
實作派電子實驗室. (2018, 5月7日). 虛功率-實功率-視在功率-功率因數. Retrieved 6月4日 from https://www.strongpilab.com/electric-power-real-reactive-apparent/#google_vignette
謝文健, 梁致誠, & 黃建民. (2010). 管距對鰭管式熱交換器性能的影響研究 國立勤益科技大學]. 台中市.