期刊文献+

居民建筑夏季提高室内空调温度设定值的可行性研究 被引量:2

Feasibility Study of Elevating the Indoor Temperature Set-Point of Residential Flats in Summer
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摘要 近年来,有一种趋势起源于日本公司通过在夏天提高室内温度设定值以达到节能目的.香港特别行政区政府建议商业办公室的理想室内温度设定值为25.5℃,这一建议引起了公众的广泛关注.本文主要针对两个问题:哪种措施能用来在夏天节能;提升室内温度设定值是否理想.通过在东莞一个典型居民住宅进行实验,获得了上述两个问题的相关结果.结果标明:通过提升室内温度设定值并维持室内环境PMV在理想值,那么可以在夏天达到节能效果. Recently, there has been a trend originated from Japanese companies to elevate the indoor temperature set-point in summer so as to save energy. HKSAR Government recommended a desirable indoor temperature set-point for commercial offices at 25.5oC, raising a lot of concerns from the general public. This paper raises two issues. One is what kind of measures can be taken to save energy in summer and the other is whether the elevation in temperature set-point is desirable or not. This paper reports the results of the related experiments conducted at residential fiats of Dongguan. It can be concluded that by maintaining a desirable predicted mean vote (PMV) in an indoor environment while elevating the indoor temperature setting, energy could be saved in summer substantially.
出处 《东莞理工学院学报》 2008年第3期104-107,共4页 Journal of Dongguan University of Technology
基金 CIBSE总部的资助之外,同时还获得以下基金的资助 东莞市科技计划项目“室内热舒适度评价指标体系的科学研究方法” 广东省教育厅自然科学研究项目“基于流体动力学的亚热带地区建筑物热舒适度和能耗的优化设计”.
关键词 居民建筑 热舒适 PMV 节能 residential fiat thermal comfort PMV energy saving
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参考文献2

  • 1Tse W L, So A T P. The importance of human productivity to air-conditioning control in office environments[J]. RSCH-00312-2005. R1,HVAC&R, ASHRAE.
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同被引文献14

  • 1叶海,魏润柏.热环境客观评价的一种简易方法[J].人类工效学,2004,10(3):16-19. 被引量:12
  • 2申欢迎,秦萍,董军.环境因素对PMV指标的影响分析[J].制冷与空调(四川),2003,17(4):27-29. 被引量:22
  • 3Lee K H, Braun J E. Evaluation of methods for determining demand-limiting set point trajectories in buildings using short-term measurements[J]. Building and Environment, 2008, 43(10): 1769-1783.
  • 4Lee K H, Braun J E. Development of methods for determining demand-limiting set point trajectories in buildings using short-term measurements[J]. Building and Environment, 2008, 43(10): 1755-1768.
  • 5Lee K H, Braun J E. Model-based demand-limiting control of building thermal mass[J]. Building and Environment, 2008, 43(10): 1633-1646.
  • 6麦奎斯顿,帕克,斯皮特勒.通风与空调:分析与设计[M].北京:化学工业出版社,2005.
  • 7Kawashima M, Dorgan C E, Mitchell J W. Hourly thermal load prediction for the next 24 hours by ARIMA, EWMA, LR, and an artificial neural network[J]. ASHRAE Transactions, 1995, 101(1): 186-200.
  • 8杜雪伟,王海斌,杜志敏,晋欣桥.基于提前启动和建筑储能的VAV系统优化运行策略[J].建筑热能通风空调,2007,26(5):7-10. 被引量:2
  • 9陈汇源.关于高层居民建筑燃气管道设计的几点认识[J]城市建设,2012(26).
  • 10段英宏.空调房间温度预估模糊PID控制器的研究[J].系统仿真学报,2008,20(3):620-622. 被引量:33

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