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研究生:簡伶臻
研究生(外文):Lin-ChenChien
論文名稱:以軟性系統動態學探討應用無線感測網路對個案旅館節能專案之效益
論文名稱(外文):Applying SSDM to Study the Effect of Using WSN for Case Hotel Energy-Saving Project
指導教授:呂執中呂執中引用關係
指導教授(外文):Jr-Jung Lyu
學位類別:碩士
校院名稱:國立成功大學
系所名稱:資訊管理研究所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2010
畢業學年度:98
語文別:中文
論文頁數:76
中文關鍵詞:旅館節能無線感測網路軟性系統動態學
外文關鍵詞:Hotel Energy ConservationWireless Sensor NetworksSoft System Dynamics Methodology
相關次數:
  • 被引用被引用:1
  • 點閱點閱:198
  • 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:3
能源消耗所排放的溫室氣體,導致地球暖化趨於嚴重,因此該如何有效使用能源,減緩地球暖化,成為各國所關切的議題。其中,在聯合國跨政府氣候變遷小組的報告中顯示,未來推動能源效率最有潛力的目標為住商建築物。因此,如何有效管理建築能源,成為各界著重的目標。無線感測網路(Wireless Sensor Networks, WSN) 即是眾多建築節能技術之一,其應用可將感測器佈署於建築物內外,即時感測溫度與光線來調節室內的空調及照明系統,被認為可用來協助節省耗能。但由於住商建築多為既有建築,企業主管多因無法得知其具體效益,故不願輕易導入無線感測網路於節能系統。
軟性系統動態學(Soft System Dynamics Methodology, SSDM)為一套能夠分析問題並提出解決方案的研究方法。本研究應用軟性系統動態學為基礎,以旅館建築為主,發展一系統化的流程來協助企業進行其建築耗能之問題分析,並藉由模擬無線感測網路用於建築節能所能產生的成果,來評估改善後系統與流程其節能效益。本研究以一個案旅館為例分析實際耗能情況,且利用個案數據驗證本研究模式,用以瞭解本研究之流程適合於旅館建築時如何評估無線感測網路節能的效益。
本研究所提出之無線感測網路建築節能分析流程分為三大部分:環境分析、導入方案和效益評估。在環境分析階段藉由五項步驟進行實地探討瞭解建築節能現況,並將實際情形轉換為模擬模型;導入方案階段則針對現有建築情況設定無線感測網路導入模組,並藉由模擬模型瞭解其節能成效;經由上述兩階段所得結果,藉由最後的效益評估階段來評估導入後的成本效益。個案研究結果顯示,本研究所發展之流程可提供個案旅館與技術廠商有效效益評估的方法,也提供個案旅館主管節能效益參考的指標之一,協助其規劃導入無線感測網路節能之模組。

Energy consumption has increased the emission of greenhouse gases, causing global warming to become more serious. How to use energy efficiently has become one of the upmost concerns for many countries. The United Nations Intergovernmental Panel on Climate Change report has shown that there is a great potential in buildings. Wireless sensor networks (WSN) is one of the building energy saving technologies widely used in practises. Sensors can be deployed inside or outside the building, sensing the temperature and light to regulate indoor air-conditioning and lighting systems. It has good potential in energy saving in buildings. However, managers still hesitate to implement WSN due to the tradeoff between costs and benefits.
Soft system dynamics methodology (SSDM) is a methodology for problem solving and analyzing. This research proposes a systematic process to assist enterprises in analyzing problems for energy consumption in buildings. In addition, systems dynamics methodology is used in simulating the scenario of energy saving, after implementing WSN into the buildings. Furthermore, a case hotel is used to demonstrate the potential benefits of implementing WSN into hotel.
The proposed analysis process is divided into three phases: environmental analysis, implementation program and benefits assessment. In the environmental analysis phase, there are five steps to understand and simulate the real consumption of building energy conservation. Implementation program phase sets up the WSN modules and using simulation to understand the impact of energy. The last phase is to assess the effectiveness of the cost-effectiveness after implementation. Case study showed that the proposed process provides hotel managers and technology vendors an effective assessment. WSN module is proven to be feasible and effective in energy saving of buildings.

第一章 緒論 7
1.1 研究背景與動機 7
1.2 研究目的 8
1.3 研究流程與架構 9
第二章 文獻探討 12
2.1 建築節能 12
2.2 無線感測網路 18
2.3 軟性系統動態學 25
第三章 模式建構 35
3.1 問題描述 35
3.2 無線感測網路導入旅館節能流程 36
3.3 模式說明 40
第四章 個案研究 53
4.1 個案旅館背景 53
4.2 無線感測網路節能專案效益分析 54
4.3 討論 69
第五章 結論與未來研究方向 70
5.1 結論 70
5.2 未來研究方向 73
參考文獻 74
Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. [Article]. Computer Networks, 38(4), 393-422.
Arampatzis, T., Lygeros, J., & Manesis, S. (2005). A Survey of Applications of Wireless Sensors and Wireless Sensor Networks. Proceedings of the IEEE International Symposium on Intelligent Control 1–2(1), 719–724.
Barrenetxea, G., Ingelrest, F., Schaefer, G., & Vetterli, M. (2008). The Hitchhiker's Guide to Successful Wireless Sensor Network Deployments. Paper presented at the SenSys'08.
Checkland, D. (1981). Systems Thinking, Systems Practice: London: Wilkey.
Datta, S. (2009). Ingrid Energy Efficiency. MIT, U.S.
European Commission. (2007). Germany-Energy Mix Fact Sheet.
International Energy Agency (IEA). (2006a). Energy Technology Perspectives.
International Energy Agency (IEA). (2006b). World Energy Outlook 2006.
International Energy Agency (IEA). (2007). World Energy Outlook 2007.
International Energy Agency (IEA). (2008). Energy technology perspectives 2008: Scenarios and strategies to 2050. Paris: OECD/IEA.
IPCC. (2007). Climate Change 2007: Mitigation of Climate Change. WGIII contribution to the IPCC Fourth Assessment Report.
Ishino, Y., & Kijima, K. (2005). Project management methodology for stimulating strategic communication in Japan. Systems Research and Behavioral Science, 22(3), 209-221.
Jackson, M. C. (2001). Critical systems thinking and practice. European Journal of Operational Research, 128(2), 233-244.
Kahn, J. M., Katz, R. H., & Pister, K. S. J. (1999). Next century challenges: Mobile networking for smart dust. Paper presented at the Proc. of the ACM MobiCom' 99.
Kintner-Meyer, M., Brambley, M., Carlon, T., & Bauman, N. (2002). Wireless Sensors: Technology and Cost-Savings for Commercial Buildings, Pacific Northwest National Laboratory. U.S. Department of Energy by Battelle Memorial Institute.
Kintner-Meyer, M., & Brambley, M. R. (2002). Pros & cons of wireless. [Article]. Ashrae Journal, 44(11), 54-59.
Kintner-Meyer, M., & Brambley, M. R. (2004). ARE WIRELESS SENSORS AND CONTROLS READY FOR THE BUILDING AUTOMATION INDUSTRY? SELECTED CASE STUDIES AND TECHNOLOGY DEVELOPMENT ACTIVITIES, Pacific Northwest National Laboratory. U.S. Department of Energy by Battelle Memorial Institute.
Lane, D. C., & Oliva, R. (1998). The greater whole: Towards a synthesis of system dynamics and soft systems methodology. European Journal of Operational Research, 107(1), 214-235.
McIntyre, J., & Pradhan, M. (2003). A systemic approach to addressing the complexity of energy problems. [Article]. Systemic Practice and Action Research, 16(3), 213-223.
Paucar-Caceres, A., & Rodriguez-Ulloa, R. (2007). An application of soft systems dynamics methodology (SSDM). Journal of the Operational Research Society, 58(6), 701-713.
Petroleum, B. (2007). Statistical Review of World Energy.
Presley, A., Sarkis, J., & Liles, D. H. (2000). A soft-systems methodology approach for product and process innovation. Ieee Transactions on Engineering Management, 47(3), 379-392.
Rabelo, L., Helal, M., Jones, A., & Min, H. S. (2005). Enterprise simulation: a hybrid system approach. International Journal of Computer Integrated Manufacturing, 18(6), 498-508.
Reisman, A., & Oral, M. (2005). Soft systems methodology: A context within a 50-year retrospective of OR/MS. Interfaces, 35(2), 164-178.
Rodriguez-Ulloal, R., & Paucar-Caceres, A. (2005). Soft system dynamics methodology (SSDM): Combining soft systems methodology (SSM) and system dynamics (SD). Systemic Practice and Action Research, 18(3), 303-334.
Roush, W., Goho, A. M., Scigliano, E., Talbot, D., Waldrop, M. M., Huang, G. T., et al. (2003). 10 EMERGING TECHNOLOGIES. [Article]. Technology Review, 106(1), 33.
Santamouric, P. M. (2006). Recent Progress on Passive and Low Energy Cooling of Buildings. Singapore.
Sohrabi, K., Gao, J., Ailawadhi, V., & Pottie, G. J. (2000). Protocols for self-organization of a wireless sensor network. [Article]. Ieee Personal Communications, 7(5), 16-27.
Sterman, J. D. (2001). System dynamics modeling: Tools for learning in a complex world. California Management Review, 43(4), 8-25.
Urge-Vorsatz, D., & Novikova, A. (2008). Potentials and costs of carbon dioxide mitigation in the world's buildings. [Article]. Energy Policy, 36(2), 642-661.
U.S. Department of Energy. (2007). Buiding Technologies Program-Planned Program Activities for 2007-2012.
Wang, S. W. (2008). Editorial: Wireless networks and their applications in building automation systems. [Editorial Material]. Hvac&R Research, 14(4), 529-533.
Weiser, M., & Boehm, H.-J. (1988). Garbage Collection in an Uncooperative Environment.
Wu, S., & Clements-Croome, D. (2007). Understanding the indoor environment through mining sensory data - A case study. [Article]. Energy and Buildings, 39(11), 1183-1191.
Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. [Review]. Computer Networks, 52(12), 2292-2330.
全國能源會議. (2009). 全國能源會議結論具體行動方案96年成果檢討會議紀錄.
經濟部能源局. (2007). 我國能源科技發展政策目標及推動現況. 能源科技研究發展白皮書.

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