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研究生:陳宏暐
研究生(外文):Hung Wei Chen
論文名稱:資料中心之自然冷卻技術節能效益研究
論文名稱(外文):An Analysis of Energy Saving from Free Cooling Technology for Data Center
指導教授:李魁鵬李魁鵬引用關係
口試委員:黃國昌陳希立李文興
口試日期:2012-07-25
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:能源與冷凍空調工程系碩士班
學門:工程學門
學類:其他工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:61
中文關鍵詞:自然冷卻空氣側節能系統PUE能源模擬冷房/暖房度日 (CDD/HDD)節能
外文關鍵詞:Free CoolingAirside EconomizerPUEEnergy SimulationCooling Degree Day/Heating Degree Day (CDD/HDD)Saving Energy
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根據經濟部能源局98年度國內非生產性質行業能源大用戶(超過800kW)之能源統計分析,依建築類型之EUI值以網路機房與電信機房為最高,以台灣之電腦機房為例,其空調耗電佔總耗電之比例約為40%,若空調負載可不使用冰水冷卻系統而達到冷卻效果,則表示將大量的降低機房之整體耗電。因此本文將以動態建築模擬軟體—eQuest、依據科本全球氣候分類法進行將12個不同氣候區之城市進行分類,探討資料中心採用溫度控制式之自然冷卻系統節能效益。由結果顯示,C類型氣候(暖溫帶氣候)中之城市可得到較佳之節能效益,總節能效益最高可達10.1%,最不顯著之氣候區為A類型氣候(熱帶氣候),節能效益最低為0。此外,依據ASHRAE 90.1 2007以18℃為基準之CDD/HDD與建築能源使用呈現正比之趨勢,CDD較多之氣候區如A~C類氣候區其全年逐月之能源使用量幾乎與CDD成正比變化;D類氣候區之逐月耗能於CDD大於0之月份隨之成正比變化、於CDD等於0之月份隨HDD成正比之變化;E類氣候區之CDD均為0,逐月耗能與HDD成正比變化之趨勢。

According to the Bureau of Energy, Ministry of Economic Affairs, energy statistics of large energy users (over 800kW) in domestic nonproductive industry in 2009, the EUI value, according to the type of construction, was highest in the network computer rooms and telecommunications rooms. Take computer rooms in Taiwan for example, power consumption of the air conditioning accounts for about 40% of the total power consumption. If the air conditioning load could achieve the cooling effect without using icy water cooling system, that achievement represents the great reduction of the overall power consumption of the engine room. Thus, this article will utilize dynamic construction simulation software, eQuest, which utilizes Koppen Climate Classification to categorize cities by 12 different climatic zones, to explore the efficiency of the temperature control of the natural cooling system in the energy efficiency of data center. The results showed that the cities in the C-type climate zone (warm climate) could achieve better energy efficiency, which was up to 10.1%.The most insignificant energy efficiency occurred in the A type climate zone (tropical climate). In the type A climate zone, energy efficiency is the lowest- zero. In addition, according to the ASHRAE 90.1 2007, CDD / HDD (based on 18 ℃), was in direct proportion to building energy use. The climate zones with more CDD such as A-type to C-type. Its monthly change of energy consumption was directly proportional to the change of CDD. In D-type climatic zones, on condition that CDD is greater than zero, the monthly energy consumption was in direct proportion to the change in CDD; on condition that CDD equaled to zero, monthly energy consumption was directly proportional to the change in HDD. In E-type climate zone, where CDD were all equal to zero, the monthly energy consumption was directly proportional to the change in HDD.

摘 要........................................................................................................................... I
ABSTRACT.................................................................................................................. II
誌 謝........................................................................................................................III
目 錄........................................................................................................................IV
表目 錄......................................................................................................................VI
圖目 錄.................................................................................................................... VII
第一章緒論..................................................................................................................1
1.1 前言......................................................................................................1
1.2 研究動機與目的....................................................................................2
1.3 文獻回顧................................................................................................3
第二章 資料中心環境條件與性能評價................................................................5
2.1 機房溫度條件........................................................................................5
2.2 資訊中心的耗能指標............................................................................7
2.3 機房微環境指標....................................................................................8
第三章 研究方法..................................................................................................13
3.1 空氣側節能系統..................................................................................13
3.2 動態建築模擬程式介紹......................................................................15
3.3 程式架構..............................................................................................16
3.4 建築環境說明......................................................................................23
3.5 模擬案例氣候類型..............................................................................25
3.6 模擬方案說明......................................................................................28
第四章 結果與討論..............................................................................................30
4.1 自然冷卻效益分析..............................................................................30
4.2 依氣候類別之能源使用特性分析......................................................37
4.3 CDD/HDD與能源使用特性之分析...................................................44
4.4 不同環境設計溫度之耗能分析..........................................................51
4.4.1 環境設計溫度之耗能差異分析......................................................51
第五章 結論與建議..............................................................................................57
5.1 研究結論..............................................................................................57
5.2 後續研究與建議..................................................................................59
參考文獻......................................................................................................................60

[1] 李魁鵬,財團法人台灣綠色生產力基金會,電信網路機房節能應用技術手冊,經濟部能源局,2010。
[2] Christian L. Belady, "In the data center, power and cooling more than IT equipment IT supports",2007.
[3] 李文興、李魁鵬,建立政府機關學校用電指標評估模式,經濟部能源局/綠基會分包計畫報告,2011
[4] Wang SK. "Handbook of air conditioning and refrigeration. 2nd ed. " New York: McGraw-Hill Companies, Inc.; 2001, pp1035-1047.
[5] Jessica Kaiser, The Green Grid, "Survey Results: Data Center Economizer Use", Emerson Network Power, 2011。
[6] P.C. Wacker, "Economizer savings study.” ASHRAE Trans 1989;95:47-51.
[7] Husamettin Bulut, Mehmet Azmi Aktacir, "Determination of free cooling potential: A case study for _Istanbul, Turkey", ELSEVIER, 2010
[8] Ye Yao, Li Wang, "Energy analysis on VAV system with different air-side economizers in China", ELSEVIER, 2010.
[9] Nabil Nassif, "Performance analysis of supply and return fans for HVAC system under different operating strategies of economizer dampers ", ELSEVIER, 2010
[10] Magnus K. Herrlin, "Rack Cooling Effectiveness in Data Centers and Telecom Central Offices: The Rack Cooling Index (RCI) "American Society of Heating, Refrigerating and Air-Conditioning Engineers, Vol. 111, Part 2, 2005,pp6-11
[11] ASHRAE, "Thermal Guidelines for Data Processing Environments", 2008.
62
[12] ASHRAE TC9.9_2011 Thermal Guidelines for Data Processing Environments -Expanded Data Center Classes and Usage Guidance,2011 pp4-9
[13] The Green Grid "The Green Grid Data Center Power Efficiency Metrics: PUE and DCiE", 2007, pp.6-7.
[14] Magnus K. Herrlin, " Air flow and cooling performance of data centers _Two performance metrics," American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc, Vol. 111, Part 2, 2008,pp.182-186.
[15] ASHARE, "ASHARE datacom series-thermal guidelines for data processing environments 1st", American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.2007.
[16] http://www.energystar.gov/index.cfm?c=power_mgt.datacenter_efficiency_economizer_airside.
[17] M. C. Peel, B.L. Finlayson, and T.A. McMahon, "Updated world map of the Koppen-Geiger climate classification",2007, pp1636-1643.
[18] ANSI/ASHRAE/IESNA, "ASHRAE Standard Energy Standard for Buildings Except Low-Rise Residential Buildings", American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.2007,pp6-7.

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