跳到主要內容

臺灣博碩士論文加值系統

(44.192.48.196) 您好!臺灣時間:2024/06/16 10:50
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:NGOC-TRI NGO
研究生(外文):NGOC-TRI NGO
論文名稱:APPROXIMATE CAPACITIES ESTIMATE OF HVAC SYSTEM FOR OFFICE BUILDING IN TAIWAN.
論文名稱(外文):APPROXIMATE CAPACITIES ESTIMATE OF HVAC SYSTEM FOR OFFICE BUILDING IN TAIWAN.
指導教授:呂守陞呂守陞引用關係
指導教授(外文):SOU-SEN LEU
口試委員:呂守陞
口試委員(外文):SOU-SEN LEU
口試日期:2013-07-26
學位類別:碩士
校院名稱:國立臺灣科技大學
系所名稱:營建工程系
學門:工程學門
學類:土木工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:英文
論文頁數:87
中文關鍵詞:HVAC system designbuilding energy consumptionchiller capacitychiller`s equivalent full load hours.
外文關鍵詞:HVAC system designbuilding energy consumptionchiller capacitychiller`s equivalent full load hours.
相關次數:
  • 被引用被引用:0
  • 點閱點閱:114
  • 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
High building energy consumption is one of the largest factors of making the depletion of nature source and environment pollution. Predicting annual building energy consumption is essential duty in effective energy usage and management. However, it is an extreme procedure and complicated work because this process can be very time-consuming and requires the understanding of the whole standards of building design and used software. In order to simplify this process, some studies have tried to develop the simple method for estimating annual building consumption with the aid of software simulation. This study proposes a LEED – based approximate prediction model of HVAC system for improving the performance of estimating energy consumption of office building in Taiwan. The scope of this study is that the primary HVAC system is modeled as water-cooled with constant-flow volume, the secondary system is modeled as constant air volume, and three chiller types are discussed including the standard hermetic centrifugal and hermetic reciprocating and screw chillers. The result of this study will aid architect and building designer in easily and quickly estimating chiller capacity and chiller energy consumption. The model obtained from this study will aid a designer in making decision base on a better building design alternative that more satisfy to green building rating system.
High building energy consumption is one of the largest factors of making the depletion of nature source and environment pollution. Predicting annual building energy consumption is essential duty in effective energy usage and management. However, it is an extreme procedure and complicated work because this process can be very time-consuming and requires the understanding of the whole standards of building design and used software. In order to simplify this process, some studies have tried to develop the simple method for estimating annual building consumption with the aid of software simulation. This study proposes a LEED – based approximate prediction model of HVAC system for improving the performance of estimating energy consumption of office building in Taiwan. The scope of this study is that the primary HVAC system is modeled as water-cooled with constant-flow volume, the secondary system is modeled as constant air volume, and three chiller types are discussed including the standard hermetic centrifugal and hermetic reciprocating and screw chillers. The result of this study will aid architect and building designer in easily and quickly estimating chiller capacity and chiller energy consumption. The model obtained from this study will aid a designer in making decision base on a better building design alternative that more satisfy to green building rating system.
ACKNOWLEDGEMENTS i
Abstract ii
Nomenclature iii
Table of Contents v
List of Figures viii
List of TALBES ix
Chapter 1. INTRODUCTION 1
1.1. Research background 1
1.2. Research scope and objectives 2
1.2.1. Research scope. 2
1.2.2. Research objectives 3
1.3. Research assumptions 3
1.4. Research outline 4
Chapter 2. LITERATURE REVIEW 6
2.1. Description of Heating Ventilation Air Conditioning system 6
2.1.1. Basic introduction of HVAC system 6
2.1.2. Classification of HVAC system 7
2.2. Introduction of chiller compressors 10
2.2.1. Overview of chiller 10
2.2.2. Types of chiller compressor 11
2.3. Building energy estimation methods 17
2.3.1. Classification of energy models 17
2.3.2. Regression-based models 18
2.3.3. Bin method 19
2.3.4. Artificial neural networks 20
2.3.5. Fourier series 21
2.3.6. Computer-based simulation program 22
2.4. Introduction of some previous researches 23
Chapter 3. RESEARCH METHODOLOGY 31
3.1. Approaches of calculation and air conditioning process 31
3.1.1. Approaches to Energy Usage Modeling - Forward Approach. 31
3.1.2. Air conditioning process 32
3.2. Procedure of establishing the prediction model of HVAC system. 36
3.3. Experimental design 39
3.4. Multiple Regression Analysis 42
Chapter 4. PREDICTION MODEL OF HVAC SYSTEM 43
4.1. Office building data in Taiwan 43
4.2. Introduction of HVAC energy consumption 47
4.3. The approximate formula of estimating LEED- based chiller capacity 50
4.4. Prediction Model of LEED- based annual chiller energy use 52
4.4.1. Data preparation and model assumptions 52
4.4.2. Development of prediction model 53
Chapter 5. EVALUATION OF RESEARCH FINDING 55
5.1. Introduction of Trace 700 software 55
5.2. The results of validation 59
5.2.1. Validation of the prediction model of maximum chiller capacity. 59
5.2.1. Validation of the prediction model of EFLH. 62
Chapter 6. CONCLUSION 66
6.1. Conclusion 66
6.2. Future research directions 66
REFERENCE 68
Appendix A. Simulation of chiller capacity model 71
Appendix B. Simulation of EFLH model 74
(2009). "ASHRAE Handbook Funddamentals." American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.(Chapter 19. Energy Estimating and Modelling Methods).

Bowerman, B. L., et al. (1990). "Linear Statistical Models: An Applied Approach." Duxbury Press.

Chang , et al. (2010). "Evaluation of Chiller Power Consumption Using Grey Prediction " International Journal of Electricial and Electronics Engineering.

Claridge, D. E. (1998). "A Perspective on Methods for Analysis of Measured Energy Data from Commercial Buildings." ASME Transactions(120): 150-155.

Dhar, A., et al. (1998). "A Fourier, Series model to predict hourly heating and cooling energy use in commercial buildings with outdoor temperatures as the only weather variable." Journal of Solar Energy Engineering(121): 47-53.

Draper, N., et al. (1981). "Applied Regression Analysis." (New York: John Wiley and Sons.).

Harriman, L. G. (1999). "New Weather Data for Energy Calculation." ASHRAE Journal(40): 31-38.

Hittle, D. (1979). Building loads analysis and system thermodynamics (BLAST), user’s manual. Technical report E-153, US Army Construction Engineering Laboratory, USA.

Huang, K. T., et al. (2005). "Design Standard of Energy Conservation for Building HVAC system - A Simplified Method of Chiller Cooling Capacity Estimation base on Building Envelope Energy Conservation Index in Taiwan." Building Simulation


Huang, K. T., et al. (2007). "Development of Simplified Estimation Method of Chiller Energy Use for Office Buildings in Taiwan." ASHRAE Transactions Volume 113, Part 2.

Hui, S. C. M. (1997). "A Randomised Approach to multipe regression analysis of building energy simulation." IBPSA Building Simulation Conference.

Katipamula, S., et al. (1998). "Multivariate Regression Modeling." ASME Journal of Solar Energy Engineering(115): 177-184.

Kharagpur (2007). "Selection of Air Conditioning Systems." Mechanical Engineering.

Kissock, J. K., et al. (2003). "Inverse Modeling Toolkit: Numerical Algorithms." ASHRAE Transactions(109): 425-434.

Knebel, D. E. (1983). "Simplified Energy Analysis Using the Modified Bin Medthod." ASHRAE Transaction.

Knebel, D. E., et al. (1995). "Buidling Energy Use Prediction and System Identification Using Recurrent Neural Networks." ASME Journal of Solar Energy Engineering(117): 161-166.

Kreider, J. F., et al. (1992). "Improved Artificial Neural Networks for commercial Building Energy Use Prediction " Proceedings of the ASME-JSES-KSES International Solar Energy Conference: 361-366.

Lin, H. T., et al. (2003). "The design index of building energy conservation and CAD program BEEP in Tawan." Building Simulation: 737-744.

Luis, P. L., et al. (2008). "A review on buildings energy consumption information." Energy and Buildings 40(3): 394-398.

Mai, N. N. (2012). "Study of approximate energy efficiency of office building in Taiwan and Vietnam." Construction Engineering National Taiwan Univeristy of Science and Technology.

Mohamed, A., et al. (2010). "Green Building Design." A book. thelucida.com.

Pope, D. C. (1987). "A Spreadsheet bin method for modeling HVAC savings." Energy engineering: 4-16.

Solati, B., et al. (2003). "Correlation based models for the simulation of energy performance of screw chillers." Energy Conversion and Management 44(12): 1903-1920.

Sullivan, R., et al. (1985). "Commercial Building Energy Performance Analysis Using Multiple Regression:." ASHRAE Transactions(91): 337-353.

Tien, L.-M. (2011). Study of LEED – Based approximate function of energy consumption and link to EEWH. construction engineering, National Taiwan University of Science and Technology. Master.

Trane "TRACE 700. Building Energy and Economic Analysis: User`s Manual.".

U.S. Department of Energy (2006). "Energy Information Administration, International Energy Outlook 2006."
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