系統識別號 | U0002-0107201915350800 |
---|---|
DOI | 10.6846/TKU.2019.00015 |
論文名稱(中文) | 居家節能之暖通空調系統 |
論文名稱(英文) | Household energy-saving HVAC system |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 電機工程學系機器人工程碩士班 |
系所名稱(英文) | Master's Program In Robotics Engineering, Department Of Electrical And Computer Engineering |
外國學位學校名稱 | |
外國學位學院名稱 | |
外國學位研究所名稱 | |
學年度 | 107 |
學期 | 2 |
出版年 | 108 |
研究生(中文) | 張瓊之 |
研究生(英文) | Chiung-Chih Chang |
學號 | 606470234 |
學位類別 | 碩士 |
語言別 | 英文 |
第二語言別 | |
口試日期 | 2019-06-20 |
論文頁數 | 42頁 |
口試委員 |
指導教授
-
劉寅春
委員 - 邱謙松 委員 - 江東昇 |
關鍵字(中) |
HVAC系統 |
關鍵字(英) |
HVAC system |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
節約能源,是以減少能源消耗的方式,保護資源,減少對環境的污染。可以通過提高能源使用效率,減少能源消耗,或降低傳統能源的消耗量。1979年,世界能源大會節能委員會的報告認為,節能的中心思想是,採取技術上可行、經濟上合理,以及環境和社會可接受的措施(使現有的理想生活方式改變最小的方法),來更有效地利用能源資源。 暖通空調系統可以控制空氣的溫度及濕度,提高室內的舒適度,它在人類的生活中占有不可取代的位置。尤其是台灣地區的能源依賴進口程度高達百分之九十七以上,且因台灣位居於亞熱帶高濕高溫的環境,空調更是生活中必要的設備,不論是公司、學校、商場百貨,亦或是醫院等,都有它的身影,然而在面對高電價、高油價的處境,如何降低耗電量又能兼顧舒適性,是值得探討的課題。倘若能在建築物的部分達到節能減碳的效果,有效運用並減少空調能耗,將會對環境有很大的助益。 |
英文摘要 |
Energy conservation is to protect resources and reduce environmental pollution by reducing energy consumption. This can be done by improving energy efficiency, reducing energy consumption, or reducing traditional energy consumption. In 1979, the report of the committee on energy conservation of the world energy congress held that the central idea of energy conservation was to make more efficient use of energy resources by adopting measures that are technically feasible, economically rational, and environmentally and socially acceptable (methods that minimize the changes to existing ideal lifestyles). The system of heating, ventilation and air conditioning (HVAC), which controls the temperature and humidity of the air and improves indoor comfort, has an irreplaceable place in human life. In particular, Taiwan is more than 97 percent dependent on imports of energy, and as Taiwan is located in the subtropical high humidity and high temperature environment, air conditioning is the necessary equipment in life, whether it is companies, schools, shopping malls, or hospitals, etc. However, in the face of high electricity prices and high oil prices, how to reduce electricity consumption at the same time with comfort is a topic worth discussing. If we can achieve the effect of energy saving and carbon reduction in the part of the building, and effectively use and reduce the energy consumption of air conditioning, it will be of great benefit to the environment. |
第三語言摘要 | |
論文目次 |
Contents Acknowledgement I Abstract in Chinese II Abstract in English III Contents IV List of Figures VI List of Tables VIII 1 Introduction 1 1.1 Research Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1.1 Energy saving . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1.2 Global Warming . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.1.3 Building energy consumption . . . . . . . . . . . . . . . . . . . 3 1.1.4 Energy and building air-conditioning in Taiwan . . . . . . . . . 5 1.1.5 HVAC system . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.2 Literature Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1.3 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.4 Problem Statement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2 Introduction to HVAC System 14 2.1 HVAC VS. Ordinary air conditioner . . . . . . . . . . . . . . . . . . . 14 2.2 HVAC technology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.3 Working principle of HVAC . . . . . . . . . . . . . . . . . . . . . . . . 15 2.4 Basic composition of HVAC systems . . . . . . . . . . . . . . . . . . . 17 2.5 HVAC modeling techniques . . . . . . . . . . . . . . . . . . . . . . . . 18 2.5.1 Grey Box Model . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.5.2 Data-Driven Model . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.5.3 Physics-Based Model . . . . . . . . . . . . . . . . . . . . . . . . 21 3 Model 22 3.1 Building Thermal Model . . . . . . . . . . . . . . . . . . . . . . . . . . 22 3.2 HVAC Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 3.3 State Space Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 4 Model verification 31 4.1 Parameter setting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 4.2 Simulation results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 5 Conclusion and future work 39 References 40 Appendix A State Space Model 42 List of Figures 1.1 Save energy and save the planet. . . . . . . . . . . . . . . . . . . . . . 2 1.2 Global warming, iceberg disintegration. . . . . . . . . . . . . . . . . . . 3 1.3 Construction industry changes little, generally maintain energy consumption to the status quo. . . . . . . . . . . . . . . . . . . . . . . . . 5 1.4 Taiwan’s energy supply in 2017. . . . . . . . . . . . . . . . . . . . . . . 6 1.5 Taiwan’s energy supply structure has changed. . . . . . . . . . . . . . . 7 1.6 power supply structure proportion in Taiwan in 2014. . . . . . . . . . . 8 1.7 Changes in Taiwan’s energy consumption structure (energy). . . . . . . 9 1.8 Changes in Taiwan’s energy consumption structure (Department). . . . 10 2.1 Carnot cycle diagram. . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 2.2 Inverse Carnot cycle diagram. . . . . . . . . . . . . . . . . . . . . . . . 17 2.3 Diagram of air conditioning system composition. . . . . . . . . . . . . . 18 2.4 Data driven modeling techniques. . . . . . . . . . . . . . . . . . . . . . 20 2.5 Physics-Based Model techniques. . . . . . . . . . . . . . . . . . . . . . 21 3.1 Second-order lumped parameter construction element. . . . . . . . . . 23 3.2 schematic diagram of the system. . . . . . . . . . . . . . . . . . . . . . 24 3.3 RC heat transfer model. . . . . . . . . . . . . . . . . . . . . . . . . . . 25 3.4 HVAC system settings. . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 4.1 The result is shown in figure 1. . . . . . . . . . . . . . . . . . . . . . . 33 4.2 The result is shown in figure 2. . . . . . . . . . . . . . . . . . . . . . . 34 4.3 The result is shown in figure 3. . . . . . . . . . . . . . . . . . . . . . . 35 4.4 The result is shown in figure 4. . . . . . . . . . . . . . . . . . . . . . . 36 4.5 The result is shown in figure 5. . . . . . . . . . . . . . . . . . . . . . . 37 4.6 The result is shown in figure 6. . . . . . . . . . . . . . . . . . . . . . . 38 List of Tables 4.1 Parameters for model validation . . . . . . . . . . . . . . . . . . . . . . 32 |
參考文獻 |
[1] 林慧慧, “節能減碳救救地球,” vol. 46, no. 8, pp. 3–6, Nov. 2011. [2] IPCC, “Forty-eighth session of the ipcc,” Oct. 2018. [3] E. Rignot, J. Mouginot, B. Scheuchl, M. van den Broeke, M. J. van Wessem, and M. Morlighem, “Four decades of antarctic ice sheet mass balance from 1979–2017,” vol. 116, no. 4, pp. 1095–1103, 2019. [4] 李漢章, “建築節能技術指南,” Dec. 2006. [5] Y.-C. Shiau, “Research on the improvement of energy consumption for existing buildings on campus with green building daily energy saving index–the college of architecture and planning of chung hua university,” July 2012. [6] UNEP, “The emissions gap report 2014,” Oct. 2015. [7] 財團法人台灣綠色生產力基金會, “家庭節約能源手冊,” Sep. 2009. [8] 經濟部能源局, “我國能源情勢與能源政策之發展,” Dec. 2015. [9] L. Z. Yina Xu, “Study on energy efficiency design of public building base on overall consideration of energy consumption factors,” pp. 6058–6061, July 2011, 2011 International Conference on Multimedia Technology. [10] C. U. K. M. S. Karmacharya, G. Putrus, “Thermal modelling of the building and its hvac system using matlab/simulink,” pp. 202–206, June 2012, 2012 2nd International Symposium on Environment-Friendly Energies and Applications (EFEA). [11] F. J.-S. Abdul Afram, “Review of modeling methods for hvac systems,” Applied Thermal Engineering, vol. 67, no. 1, pp. 507 – 519, June 2014. [12] S. M. W. U. S. S. F. S. H. A. Aftab Khan Masood, Usman Hafeez, “Impact of windows to wall ratio on energy consumption in building sector of pakistan,” pp. 1–4, Nov 2014, 2014 International Conference on Energy Systems and Policies (ICESP). [13] M. Kassas, “Modeling and simulation of residential hvac systems energy consumption,” Procedia Computer Science, vol. 52, pp. 754–763, 2015, the 6th International Conference on Ambient Systems, Networks and Technologies (ANT-2015), the 5th International Conference on Sustainable Energy Information Technology (SEIT- 2015). [14] J. Dobbs, “Model predictive control of building energy management systems in a smart grid environment,” 2015. [15] Z.-S. Huang, “Neural networks predictive control for small size air conditioners,”July 2018. [16] 陸亞俊, “暖通空調(第二版),” 中國建築工業出版社, 2007. [17] 胡喬木, “中國大百科全書(第二版),” 中國大百科全書總編輯委員會,中國大百科全書出版社, 2009. |
論文全文使用權限 |
如有問題,歡迎洽詢!
圖書館數位資訊組 (02)2621-5656 轉 2487 或 來信