無線感測器網路之能源效益分析-以台灣便利商店為例

Energy saving effects of wireless sensor networks-a case study of convenience stores in Taiwan

陳誌生(Chih-Sheng Chen)

指導教授 ： 李達生

國立臺北科技大學/機電學院/機電科技研究所/博士(2011年)

https://doi.org/10.6841/NTUT.2011.00628

摘要

利用散佈之無線感測器節點，收集便利商店之環境週遭物理量資訊，並搭配人體舒適度(PMV)計算公式及人潮尖峰、離峰調控，針對便利商店之空調用電進行長時間監控、電力管理，呈現每位顧客在便利商店室內的真實的舒適感受及達成節能的廠所；並以計算流體力學(CFD)探討節能前後，便利商店內之溫度及流場的分佈，並且找出影響便利商店室內舒適環境的熱源及冷源，達成空調設備能達到最佳化運轉達成空調電力管理，實現便利商店的感知系統環境。
從2008年至2010年等三年間，分別在4間便利商店內，首先進行空調設備最佳化運轉情況下進行節能控制，中性舒適條件下可達34%的空調用電節約，2009年再加入人體舒適度與人潮尖峰、離峰進行節能控制，4間便利商店亦可達到45%的空調用電節約，2010年維持與2009年相同的節能操作條件，僅有細部時段進行人潮離峰、尖峰調控，空調用電節約可再提高約0.75%，而三年來的分析計算後，發現其便利商店之節能邊際效益約為46%，而不再往上提高，但是以單店來看的話，便利商店store B有最高的節能邊際效益可達53%。
無線感測器網路之設置成本，基本的費用約為USD500元，操作4~6個月後，4間研究的便利商店即可回收無線感測器網路成本，讓節約變成賺錢的開始，並且讓大眾的認知中，便利商店不再是令人詬病的照明明亮且空調過冷的場所，打造成舒適暨節能的環境，並作為倡導消費者節能的環境。

關鍵字

無線感測器網路 ； 人體舒適度 ； 計算流體力學 ； 節能邊際效益

並列摘要

Three originality technologies are applied to Wireless sensor network (WSN), which are divided into IC sensors, RF communication technology, and energy harvesting technology, respectively. Therefore, this paper focuses on the cost-recovery of WSN and how to reduce energy consumption of air conditioning in convenience stores.
The WSN in this study provides feedback to the gateway and adopts the predicted mean vote (PMV) and computational fluid dynamics (CFD) method to allow customers to shop in a comfortable energy-saving environment. Four convenience stores in Taipei have used the proposed WSN since 2008. In 2008, the experiment was initially designed to optimize air-conditioning for energy saving. Besides, adding the thermal comfortable and crowds peak, off-peak to the optimize setting in 2008 to get human-friendly energy saving in 2009. Under the same comfort conditions, the power savings increased by 34% (2008) and 45% (2009) when compared with 2007. The cost of WSN equipment is 500 US dollars. The experimental results of analyses and calculations for the three years show the marginal energy conservation benefit of the four convenience stores achieved energy savings of up to 53%, recovering all costs in approximately 5 months. The convenience store group participating in this study was satisfied with the efficiency of energy conservation because of the short cost-recovery period.

並列關鍵字

Wireless sensor network (WSN) ； Predicted mean vote (PMV) ； Computational fluid dynamics (CFD) ； marginal energy conservation benefit

參考文獻

[7]R. Viswanathan and P. K. Varshney, “Distributed detection with multiple sensors: Part I - fundamentals,” Proceedings of the IEEE, vol. 85, no. 1, 1997, pp. 54-63.

[9]V. Megalooikonomou and Y. Yesha, “Quantizer design for distributed estimation with communication constraints and unknown observation statistics," IEEE Trans. on Comm., vol. 48, no. 2, 2000, pp. 181-184.

[11]S. C. A. Thomopoulos and L. Zhang, “Distributed decision fusion with networking delays and channel errors,” Inform. Sci., vol. 66, no. 1, 1992, pp. 91-118,

[12]D.S. Lee, “Energy Harvesting Chip and the Chip Based Power Supply Development for a Wireless Sensor Network,” Sensors, vol.8, no.12, 2008, pp. 7690-7714.

[16]ASHRAE, ANSI/ASHRAE Standard 55-2004, Thermal environmental conditions for human occupancy, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, 2004, Meddelande M85: 24.