期刊检索

  • 2024年第56卷
  • 2023年第55卷
  • 2022年第54卷
  • 2021年第53卷
  • 2020年第52卷
  • 2019年第51卷
  • 2018年第50卷
  • 2017年第49卷
  • 2016年第48卷
  • 2015年第47卷
  • 2014年第46卷
  • 2013年第45卷
  • 2012年第44卷
  • 2011年第43卷
  • 2010年第42卷
  • 第1期
  • 第2期

主管单位 中华人民共和国
工业和信息化部
主办单位 哈尔滨工业大学 主编 李隆球 国际刊号ISSN 0367-6234 国内刊号CN 23-1235/T

期刊网站二维码
微信公众号二维码
引用本文:杜晨秋,李信仪,喻伟,姚润明.人员热适应对住宅全年供暖、供冷需求影响——以重庆为例[J].哈尔滨工业大学学报,2022,54(6):138.DOI:10.11918/202009020
DU Chenqiu,LI Xinyi,YU Wei,YAO Runming.Effect of occupant dynamic thermal adaption on residential heating and cooling demands in Chongqing[J].Journal of Harbin Institute of Technology,2022,54(6):138.DOI:10.11918/202009020
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  下载PDF阅读器  关闭
过刊浏览    高级检索
本文已被:浏览 696次   下载 557 本文二维码信息
码上扫一扫!
分享到: 微信 更多
人员热适应对住宅全年供暖、供冷需求影响——以重庆为例
杜晨秋1,李信仪2,喻伟1,姚润明1
(1.重庆大学 土木工程学院,重庆 400045;2.海南大学 土木建筑工程学院,海口 570228)
摘要:
为研究住宅建筑中人员适应性调节及热舒适需求动态变化对其全年建筑供暖、供冷能耗影响,首先通过分析夏热冬冷地区典型城市-重庆住宅全年热环境调研数据(样本量2 151份),揭示了居民全年舒适温度随室外温度呈S型变化特性,进而得到了基于人员适应性和动态热舒适的住宅全年供暖、供冷起止时间和动态温度设计参数。结合EnergyPlus建立了典型样本建筑模型(三人户,建筑面积105 m2),分析了在执行JGJ134—2010《夏热冬冷地区居住建筑节能设计标准》基础上,基于人员热适应和温度动态调节下的住宅全年供暖、供冷节能潜力。模拟结果表明:住宅全年自然通风情况下室内热环境处于舒适区间(18~26 ℃)的比例仅占32.2%,采用传统供暖、供冷设定温度(18~26 ℃)下住宅全年舒适小时比例增加至62.87%,而基于人员适应性的供暖、供冷温度动态调节下舒适比例进一步增加5.45%;采用传统温度设计下住宅全年供暖、供冷单位面积能耗分别约为8.93、17.18 kWh/m2,相比采用温度动态调节下全年单位面积供暖、供冷能耗显著降低,分别为7.78、12.96 kWh/m2,节能量达20.6%,且供冷节能潜力更大。
关键词:  住宅建筑  人员适应性  动态舒适温度  供暖、供冷设计温度  节能潜力
DOI:10.11918/202009020
分类号:TU119+.5
文献标识码:A
基金项目:十三五国家重点研发计划项目(2016YFC0700301)
Effect of occupant dynamic thermal adaption on residential heating and cooling demands in Chongqing
DU Chenqiu1,LI Xinyi2,YU Wei1,YAO Runming1
(1.School of Civil Engineering, Chongqing University, Chongqing 400045, China; 2.School of Civil and Architectural Engineering, Hainan University, Haikou 570228, China)
Abstract:
The effects of thermal adaption and dynamic demands for thermal comfort of occupants on heating and cooling energy consumption in residential buildings were explored. First, taking Chongqing as a typical city in the hot summer and cold winter zone, a thermal environment database for residences (sample size 2 151) was analyzed, and the S-shaped variation trend of annual comfort temperatures of occupants with outdoor temperatures was revealed. Then, the annual heating and cooling periods and the dynamic temperature settings for residences were determined based on the thermal adaption and dynamic comfort of occupants. Lastly, a typical reference residence was established by using EnergyPlus, with a family number of three and building area of 105 m2. According to the design requirements of the JGJ 134—2010 standard, the annual energy saving potential for heating and cooling in residential buildings was analyzed based on the thermal adaption and dynamic demands of occupants. Results show that under annually natural ventilation condition, only 32.2% of thermal environment was distributed in the comfort zone (18-26 ℃). With the traditional heating and cooling temperature design (18-26 ℃), the proportion was increased to 62.87%, and it was further increased by 5.45% under dynamic temperature settings. The annual energy consumptions per area for traditional heating and cooling temperature settings were nearly 8.93 kWh/m2 and 17.18 kWh/m2. While the dynamic temperature settings significantly reduced the annual energy consumptions for heating and cooling, with the values of 7.78 kWh/m2 and 12.96 kWh/m2 respectively. The annual energy saving was up to 20.6%, and the energy saving potential for cooling was greater.
Key words:  residential buildings  occupant adaption  dynamic comfort temperature  heating/cooling design temperature  energy saving potential

友情链接LINKS