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  • 學位論文

冷凍冷藏食品賣場耗能因子與熱管應用之節能潛力分析

A Study on Energy Saving Techniques and Heat-pipe Applications for Supermarkets

指導教授 : 李魁鵬

摘要


傳統上台灣之超級市場設計,均未考慮賣場環境濕度控制,藉由冷凍冷藏系統的低蒸發溫度散溢之冷氣用以移除賣場的熱負荷是相當耗能的方法,賣場環境濕度控制之可行方法應是藉由空調系統來達成。本研究結合熱管製造廠商,利用DOE-2動態能源模擬程式及實測,評估熱管應用在冷凍冷藏食品賣場濕度控制之節能技術、節能潛力與最佳化設計策略。 以台灣之熱濕氣候而言,本研究由綜合模擬分析結果,在賣場溫度22℃的控制條件下,最佳相對溼度控制點為60~70%時,利用熱管輔助賣場之環境溫溼度控制,其所獲得之全建築節能效果約為6.45%;配合冷凍系統最佳化後,再改善外氣滲入及照明問題之後,其節能效益最大可達25.66%,其總計每年節省電費約353,600元,改善工程總造價約700,000元,回收年限約1.98年,本案之節能改善成果顯著。

關鍵字

超級市場 冷凍系統 溼度 節能 模擬 熱管

並列摘要


Traditionally, the supermarkets of Taiwan designs, have not considered that the environmental humidity in the sales field is controlled, except that the heatt load of the sales field is a method to consume energy by freezing the air that the low evaporation temperature of refrigeration overflows, the feasible that the environmental humidity in the sales field controls should be reached with the air conditioner system. In view of, this research combines heat-pipe manufacturers, Utilize DOE-2 dynamic energy simulation programe and surveying, assess the heat-pipe apply to supermarkets power-saving technology ,energy-conserving potentiality and optimization strategy that the humidity is controllable. The moisture of Taiwan, this research is by the comprehensive simulation analysis result, at 22℃ control conditions of temperature in the sales field, the best relative humidity control is 60~70%, Utilize heat pipe to auxiliary environment humidity of sales field controled, its energy-conserving results of the whole building obtained are about 6.45%; Cooperate after freezing the systematic optimization, after improving the building infiltration and lighting , its energy-conserving benefit can be up to 25.66% most, its total saves electric rate of about 353,600 NTD every year, improve total fabrication cost of about 700,000 NTD of the project, retrieve service life for about 1.98 years, the energy-conservation of this case improves the achievement apparently.

參考文獻


[2] Adams P., “Intereffects of supermarket refrigeration and air conditioning,” ASHRAE Journal , 1985, 67(Oct):38-40.
[19] Datta, D. and S.A. Tassou, “Artificial neural network based electrical load prediction for food retail stores,” Applied Thermal Engineering, Vol. 18, 1998, pp.1121-1128
[1] 行政院主計處URL: http://www.dgbas.gov.tw/dgbas03/,2003。
[3] Howell, R.H., and P. Adams, Jr, ”Effects of indoor space conditions on refrigerated display case performance,” Final Report, 1991, ASHRAE-596 RP.
[4] Howell, R.H. ”Effects of store relative humidity on refrigerated display case performance,” ASHARE Transactions, 1993a, 99(1):667-678.

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許祐峰(2007)。電費計量基準之建築動態耗能模擬應用〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-3107200714405500
周承邱(2008)。鐵路車站節能分析-以七堵車站為例〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-2107200809392300
盧永富(2010)。機櫃冷卻系統應用資料中心之節能模擬分析〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-1608201021034400

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