跳到主要內容

臺灣博碩士論文加值系統

(3.231.230.177) 您好!臺灣時間:2021/08/02 11:37
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:趙培均
研究生(外文):Pei-Chun Chao
論文名稱:以EnergyPlus為基礎之空調系統即時自我故障診斷之研究
論文名稱(外文):A Research of Real-Time Self-Fault-Diagnosis with EnergyPlus for the Air-Conditioning System
指導教授:李魁鵬李魁鵬引用關係
口試委員:李文興黃國倉陳希立
口試日期:2012-06-29
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:71
中文關鍵詞:EnergyPlus故障診斷即時能源模擬
外文關鍵詞:EnergyPlusFDDReal-TimeEnergy Simulation
相關次數:
  • 被引用被引用:3
  • 點閱點閱:838
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
由於近年來工商產業的發展迅速,致使許多的大型商辦建築如雨後春筍般林立,據統計一般商辦大樓內的空調能耗即佔百分之五十的整體建築能耗,因此建築內部的整體空調系統即為本研究之重點。在實際運轉工況下,空調系統會受到運轉時數增加、維修不良等因素,造成系統設備老舊退化及故障頻率增加。有鑑於此,如何開發出一套自動即時監控系統,達到故障預警協助管理保養與即時故障排除,避免系統運轉損耗,維持高效率運轉周期,儼然成為一門重要的學問。
本研究係以EnergyPlus建構一棟實際辦公大樓,輸入實際內部負載(如:照明耗電、人員密度、設備熱得等)及空調系統的設備規格,進而模擬全年逐時之理想運轉工況及能耗作為基準資料,對照模擬情境之即時運轉工況,並參照各種不同技術文獻所歸納整理出空調系統中常見的故障情形,套入性能迴歸參考模式中並以Q統計手法分隔出系統故障原因,藉此以提供業主及現場維護人員即時且精確的資訊。
研究結果證明以EnergyPlus模擬工況作為運轉基準資料,配合所應用之故障分析方法可有效地診斷出系統異常運轉點,進而成為一全新節源技術手段之開端,以俾後續之相關研究與開發。



Substantial growth in the industry and commerce in the recent years has caused more and more big commercial buildings to be constructed. According to the statistics, a standard commercial building''s air conditioning accounts for 50% of the whole building''s energy. Therefore, this research focuses on the operation diagnosis of building''s air conditioning system. In the actual operation, the air conditioning system is affected by factors such as running hours and poor maintenance. As a result, the equipment depreciates quickly and increases its malfunction. It is therefore very important to establish an automatic monitoring system that can detect any malfunction once it occurs. And also help to manage the maintenance and immediately eliminate the malfunction to avoid any energy lost. This will make sure the operation is at its effective optimal.
This research uses EnergyPlus to model a real office case, all the actual data and the schedule of air conditioning system were inputted (e.g. light energy, population density, equipment heat gain etc.). After, model was calibrated with the actual operation condition and energy consumption, this research applied multiple regression and Q-statistic to diagnosis the system and further distinguish the malfunction reasons in the real-time operation.
The results show that real-time self-fault-diagnosis with EnergyPlus for the air-conditioning system can work efficiently, thus become a state-of-the-art energy-saving method, and be worthy for the relevant research and development in the future.


摘 要 i
ABSTRACT ii
誌 謝 iv
目 錄 v
表目錄 viii
圖目錄 ix
第一章 緒論 1
1.1 研究動機與目的 1
1.2 文獻回顧 3
1.3 研究方法與流程 5
第二章 相關理論與方法 7
2.1 能源模擬程式理論 7
2.1.1 EnergyPlus之簡介 7
2.1.2 動態能源程式之架構 8
2.1.3 TMY2標準氣象年 10
2.1.4 EnergyPlus冰水主機性能描述 14
2.1.5 EnergyPlus空調箱性能描述 16
2.1.6 EnergyPlus泵浦性能描述 17
2.2 故障偵測與診斷理論 18
2.2.1 典型故障偵測與診斷理論 18
2.2.2 多變量管制—Hotelling''s T2 20
2.2.3 Q統計量 23
2.2.3 複迴歸分析 24
第三章 空調系統性能分析 25
3.1 物理模型建立 25
3.1.1 空間使用行為調查 26
3.1.2 空間系統及設備資料 26
3.2 以模擬校驗進行性能分析 29
3.2.1 以模擬校驗進行驗證程序 29
3.2.2 TMY2標準氣象年 29
3.2.3 有效度分析 33
第四章 自我故障診斷系統開發與實作 38
4.1 系統故障偵測與診斷流程 38
4.2 資料庫建立 39
4.3 穩態過濾器 40
4.4 故障偵測 40
4.4.1 感測器故障分析 40
4.4.2 系統故障分析 41
第五章 結果與討論 44
5.1 實驗方法 44
5.2 實驗結果 45
5.2.1 歷史資料濾除分析 45
5.2.2 冰水主機故障偵測與診斷結果分析 47
5.2.3 空調箱故障偵測與診斷結果分析 57
5.2.4 群組泵浦故障偵測與診斷結果分析 63
第六章 結論與後續建議 67
6.1 結論 67
6.2 後續研究建議 68
參考文獻 69


[1]Drury B. Crawley, Linda K. Lawrie and Frederick C. Winkelmann, EnergyPlus: creating a new-generation building energy simulation program, Energy and Buildings (2001).
[2]Xu P, Haves P and Deringer J, A Simulation-Based Testing and Training Environment for Building Controls. Proceedings of SimBuild 2004, Building Sustainability and Performance through Simulation, Boulder, CO, USA (2004).
[3]Haves P, Salsbury T, Claridge D and Liu M, Use of Whole Building Simulation in On-Line Performance Assessment: Modeling and Implementation Issues, Proceedings of 7th International IBPSA Conference Building Simulation (2001).
[4]Haves P and Xu P. The Building Controls Virtual Test Bed – a Simulation Environment for Developing and Testing Control Algorithms, Strategies and Systems. Proceedings of Building Simulation (2007).
[5]Wetter M and Haves P. A Modular Building Controls Virtual Test Bed for the Integration of Heterogeneous Systems. Proceedings of 3rd Nation Conference of IBPSA-USA SimBuild (2008).
[6]Wetter M, Co-simulation of Building Energy and Control Systems with Building Controls Virtual Test Bed, Journal of Building Performance Simulation (2011).
[7]Nouidui TS, Wetter M, Li Z, Pang X, Bhattacharya P and HavesP, BACnet and Analog/Digital Interfaces of the Building Controls Virtual Test Bed, Proc. Building Simulation (2011).
[8]Salsbury T and Diamond R, Performance Validation and Energy Analysis of HVAC Systems Using Simulation, Energy and Buildings (2000).
[9]Pang X, Wetter M, Bhattacharya P and Haves P, A Framework for Simulation-Based Real-Time Whole Building Performance Assessment, Building and Environment (2012).
[10]Todd M. Rossi and James E. Braum,A Statistical, Rule-Based Fault Detection and Diagnostic Method for Vapor Compression Air Conditioners, HVAC&R (1997).
[11]John M, House, Hossein V and Michael J. Whitcomb, An Expert Rule Set for Fault Detection in Air-Handling Units, ASHRAE Transactions (2001).
[12]Sabine Kaldoft and Peter Gruber, Practical Experiences form Deveoping and Implementing an Expert System Diagnostic Tool, ASHRAE Transactions (2002).
[13]林逸群,應用專家系統於中央空濤系統之故障診斷,碩士論文,國立臺北科技大學電機工程研究所,2002。
[14]張佑民,故障診斷專家系統於中央空調之應用分析,碩士論文,國立中山大學機械與機電工程研究所,2006。
[15]呂金翰,冰水主機自我故障診斷之研究,碩士論文,國立臺北科技大學能源與冷凍空調工程研究所,2008。
[16]施冠群,資料中心機櫃冷卻系統自我故障診斷之研究,碩士論文,國立臺北科技大學能源與冷凍空調工程研究所,2010。
[17]EnergyPlus Engineering Documentation, in Version 6.0 U.S. Department of Energy (2011).

[18]William M, Ken Urban, User’s Manual for Typical Meteorological Years, NREL, USA (1996).
[19]Development of Models for Hourly Solar Radiation Prediction-RP-1309, ASHRAE Std. (2008)
[20]Katipamula S and M.R Brambley, Methods for Fault Detection, Diagnostics and Prognostics for Building System-A Review: Part I, HVAC&R and Research (2005).
[21]Katipamula S and M.R Brambley, Methods for Fault Detection, Diagnostics and Prognostics for Building System-A Review: Part II, HVAC&R and Research (2005).


連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊