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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 陳希立(Sih-Li Chen) | |
dc.contributor.author | Chun-Chuan Chang | en |
dc.contributor.author | 張峻銓 | zh_TW |
dc.date.accessioned | 2021-06-13T01:36:05Z | - |
dc.date.available | 2009-07-17 | |
dc.date.copyright | 2007-07-17 | |
dc.date.issued | 2007 | |
dc.date.submitted | 2007-07-13 | |
dc.identifier.citation | 1. Bruan, J.E., Mitchell, J.W., Klein, S.A., and Beckman, W.A. 1987. “Models for variable speed centrifugal chillers.”ASHRAE Transactions, vol.93, part 1., pp. 1794-1804.
2. 徐金輝,2006,變頻離心式冰水機節能效益之研究,碩士論文,國立台北科技大學冷凍空調工程研究所。 3. 施宜輝,2004,廠務空調系統冰水主機水側溫度節能實務分析,碩士論文,中原大學機械工程學研究所。 4. 陳森煌,2001,以現場實用測量結果作冰水主機作部份負載之性能分析,碩士論文,國立台北科技大學冷凍空調工程研究所。 5. 陳進龍,2000,動態規劃法運用於儲冰式空調系統與低溫送風之最佳化設計,博士論文,國立台灣大學機械工程學研究所,民國八十九年十月。 6. Air-conditioning and Refrigeration Institute, “Performance Rating of Water-Chilling Packages Using The Vapor Compression Cycle”, Air-conditioning & Refrigeration Institute,ARI. 7. 林進煌,2006,變頻冷卻水塔之節能研究,碩士論文,國立台北科技大學冷凍空調工程研究所。 8. Braun, J.E., Diderrich, G.T., 1990, “Near-optimal control of cooling towers for chilled-water systems.” ASHRAE Transactions, Vol. 96, Part 2, pp. 806-813. 9. Braun, J.E., S.A. Klein, W.A. Beckman, and J.W. Mitchell. 1989a. “Methodologies for optimal control of chilled water systems without storage.” ASHARE Transactions, Vol. 95, Part1.,pp.652-662. 10. Braun, J.E.,1989, “Applications of optimal control to chilled water systems without storage.” ASHRAE Transactions, Vol. 95, Part 1. pp.663-675. 11. 趙慶松,2002,空調主機群之最佳負載分配,碩士論文,國立台北科技大學冷凍空調工程研究所。 12. 涂煌秋,2003,冰水主機負載分配最佳效能之提升,碩士論文,國立台北科技大學冷凍空調工程研究所。 13. 黃啟泰,2006,懲罰函數法應用於空調系統之最佳化控制,碩士論文,國立台灣大學機械工程學研究所。 14. V. D. Papaefthimiou, T. C. Zannis and E. D. Rogdakis. 2006. “Thermodynamic study of wet cooling tower performance”. International Journal of Energy Research, Vol. 30, Issue 6. (p411-426). 15. ASHRAE Handbook System and Equipment, SI ed., American Society of Heating, Refrigerating, and Air conditioning Engineers, Inc., chapter36, 2000. 16. Merkel, F., 1952.,Verduftungskuglung. Forschungarbeiten, No.275. 17. Wilbert F. Stoecker / Jerold W. Jones. “Refrigeration & Air conditioning” McGraw-Hill second edition. 18. 王啟川,10月2001,冷卻水塔的熱流設計,冷凍與空調。 19. Tom Webster, P.E., “Chiller Controls-related Energy Saving Opportunities in Federal Facilities.” FEMP/NTDP Technology Focus. Lawrence Berkeley National Laboratory Berkeley, CA– 47649January 2003. 20. Yung-Chung Chang, “An Outstanding Method for Saving Energy—Optimal Chiller Operation.” IEEE transactions on energy conversion, vol .21, no.2, june 2006 pp.527-532. 21. Yung-Chung Chang, Wu-Hsing Chen, Ching-Yin Lee, Chung-Neng Huang,”Simulated annealing based optimal chiller loading for saving energy.” Energy Conversion and Management Issue 47 (2006) pp.2044–2058. 22. Sergey Groshev, “Speed Controlled AC-Drives Technology in Unit Operations of the Chemical Engineering Industry” Master Thesis, Department Of Electrical Engineering, Lappeentanta, University Of Technology. 23. “variable speed screw compressor”., www.Carrier.com. 24. Roy .J. Dossat. “Principles of Refrigeration”, prentice hall fourth edition. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/30098 | - |
dc.description.abstract | 空調系統主要之功用是提供人類生活或業界生產線合適的環境條件,其應用範圍包括醫院、辦公大樓、學校、公寓及科技產業中的半導體廠等,在工業發展迅速的現代化社會中扮演著重要的角色。在整體建築物之電力負載中以中央空調系統用電所佔的比例最高,其中冰水主機為空調系統主要之耗電來源。由於今日能源問題日益嚴重,如何有效節約冰水主機的用電量成為各界主要研究的課題。
本研究中首先建立冰水主機及冷卻水塔之耗能計算方程式,經由該方程式提出三套不同操作策略下,冰水主機與冷卻水塔聯合運轉之耗電計算模式,藉由該模式可分別模擬冰水主機與冷卻水塔在各種不同操作策略下聯合運轉時,其系統之耗電量以及該系統在各種不同運轉條件下之最佳化運轉操作點。最後以最佳化之計算模式為基礎,結合懲罰函數法以及節能關機策略建立冰水主機與冷卻水塔群組最佳化節能運轉策略之計算模式。藉由該模式可求得各台冰水主機最佳化負載分配之情形以及空調系統最佳化節能運轉之操作點,同時由該模式亦可模擬空調系統中,冰水主機與冷卻水塔群組於各運轉操作條件下最佳化之耗電情形。 由本研究之結果可知,單台冰水主機與冷卻水塔運轉於最佳化操作點時,可較其它控制策略節省系統總耗電量達1.44%~6.3%。此外在冰水主機與冷卻水塔群組聯合運轉時,若系統以懲罰函數法以及節能關機策略進行負載分配,則空調空間之負載在30%時,可有效節約空調系統總耗電量高達27.86%。 | zh_TW |
dc.description.abstract | This thesis presents two methodologies for determining the optimal control settings of condenser water system of chiller water plant. One is applied to the system operated with single chiller and cooling tower, and the other is utilized to the system with multiple chillers and cooling towers. By using these methodologies, the power consumption of the system can be minimized.
In this research, a mathematical model was developed to predict the power requirement of a chiller under the cooling capacity varied through time, and the water temperature at the time entering condenser and leaving evaporator. Another mathematical model was developed to predict the power requirement of a cooling tower with various ambient conditions, tower air flow rates, tower inlet and outlet water temperatures. By integrating those models, this thesis develop an algorithm for investigating optimal control settings of the system consisted of single chiller and cooling tower, those settings changes through time in respond to uncontrolled variables such as the ambient conditions and the system cooling loads. In a multiple-chiller system, an optimization methodology was developed by integrating the Penalty Function Method (PFM) into the algorithm developed before, where PFM was applied to optimize chiller load distribution. Besides, a strategy was added to save energy. The strategy was utilized to shut down the chillers which operate inefficiently in order to let the rest of the on-line chillers to operate more efficiently and to reduce the energy consumption as well. Results of this optimization methodology are compared with the methodology integrated with Equal Load Distribution Method (ELDM). The results show that the PFM can save 1.7~8.8% total power compared with ELDM while the system load is 60~70%. When the system cooling load is 30%, PFM saved 27.86% total power consumption of multiple chillers and cooling towers in the system. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T01:36:05Z (GMT). No. of bitstreams: 1 ntu-96-R94522307-1.pdf: 1633163 bytes, checksum: 0dd64975d9f8594acc35319480d7f899 (MD5) Previous issue date: 2007 | en |
dc.description.tableofcontents | 誌謝 I
摘要 I Abstract II 目錄 III 圖目錄 V 表目錄 VIII 符號說明 X 第一章 緒論 1 1-1 前言 1 1-2 文獻回顧 4 1-3 研究動機與目的 10 1-4 研究方法 13 第二章 空調系統設備耗電分析 14 2-1 前言 14 2-2 冰水主機 15 2-2.1 冰水主機運轉原理 15 2-2.2 冰水主機耗電計算模式 16 2-3 冷卻水塔 27 2-3.1 冷卻水塔運轉原理 28 2-3.2 冷卻水塔耗電計算模式 30 2-4 冰水主機與冷卻水塔聯合運轉耗電計算模式 35 2-4.1 主機與定頻水塔聯合運轉耗電計算模式 35 2-4.2 主機與變頻水塔聯合運轉耗電計算模式 36 2-4.3 主機與水塔之最佳化聯合運轉耗電計算模式 37 第三章 主機與水塔聯合運轉耗能分析 38 3-1 前言 38 3-2 系統案例之簡介 39 3-3 冰水主機搭配定頻冷卻水塔 40 3-4 冰水主機搭配變頻冷卻水塔 41 3-4.1 控制水塔出口水溫於設計值32 oC 41 3-4.2 控制水塔出口水溫於設計值30 oC 42 3-4.3 控制水塔趨近度為5 oC 42 3-4.4 冷卻水塔最佳化運轉操作 43 3-4.5 趨近最佳化方法 44 3-5 不同控制策略下之系統耗電分析 45 3-5.1 水塔風扇運轉操作點逐時分析 45 3-5.2 水塔出口水溫逐時分析 46 3-5.3 水塔風扇耗電逐時分析 46 3-5.4 各控制策略下主機耗電量逐時分析 47 3-5.5 各控制略下系統總耗電量逐時分析 48 3-6 結果與討論 49 第四章 主機與水塔群組最佳化聯合運轉之節能策略 50 4-1 前言 50 4-2 群組冰水主機負載分配策略 51 4-2.1 平均負載法簡介 51 4-2.2 懲罰函數法簡介 52 4-3 主機與水塔群組最佳化聯合運轉耗電計算模式 54 4-4 主機與水塔群組最佳化聯合運轉耗電分析 55 4-4.1 案例說明 55 4-4.2 不同負載分配法之系統耗電分析 56 4-4.3 不同關機策略下系統耗電分析 58 4-5 結果與討論 61 4-5.1 不同負載分配法耗電分析 61 4-5.2 不同關機策略之耗電分析 61 第五章 結論與建議 62 5-1 結論 62 5-2 建議 64 參考文獻 114 | |
dc.language.iso | zh-TW | |
dc.title | 冰水主機與冷卻水塔群組最佳化運轉策略研究 | zh_TW |
dc.title | The Investigation of Methodologies for
Optimal Control of Chillers and Cooling Towers System | en |
dc.type | Thesis | |
dc.date.schoolyear | 95-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 李文興(Wen-Shing Lee),卓清松(Ching-Song Jwo),陳輝俊(Huei-Jiunn Chen) | |
dc.subject.keyword | 冰水主機,冷卻水塔,最佳化,懲罰函數法, | zh_TW |
dc.subject.keyword | Chiller,Cooling tower,Optimal,Penalty function method, | en |
dc.relation.page | 139 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2007-07-16 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 機械工程學研究所 | zh_TW |
顯示於系所單位: | 機械工程學系 |
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