附加阳光间型被动式太阳房传热量简化计算方法研究

刘艳峰, 田师果, 周勇, 王登甲

太阳能学报 ›› 2022, Vol. 43 ›› Issue (4) : 256-263.

PDF(2917 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(2917 KB)
太阳能学报 ›› 2022, Vol. 43 ›› Issue (4) : 256-263. DOI: 10.19912/j.0254-0096.tynxb.2020-0714
电化学储能安全性与退役动力电池梯次利用关键技术专题

附加阳光间型被动式太阳房传热量简化计算方法研究

  • 刘艳峰1,2, 田师果1,2, 周勇1,3, 王登甲1,2
作者信息 +

STUDY ON SIMPLIFIED CALCULATION METHOD OF HEAT TRANSFER IN PASSIVE HOUSE WITH ATTACHED SUNSPACE

  • Liu Yanfeng1,2, Tian Shiguo1,2, Zhou Yong1,3, Wang Dengjia1,2
Author information +
文章历史 +

摘要

附加阳光间型被动房传热量受室外空气温度和太阳辐射双波动扰动影响,导致其热负荷具有显著波动特征,传统稳态计算方法难以适用,而动态方法过于复杂,不适用于工程设计使用。基于此,该文采用周期反应系数法研究结构参数和被动房传热量之间的定量关系,并结合结构参数,提出附加阳光间型被动房热负荷简化计算新方法。结果表明阳光间总传热量受公用墙体构造变化影响较大,内门传热量与公用墙体热阻呈正相关,墙体传热量与墙体热阻呈负相关;同类围护结构下,不同参数组合下公用墙导热量与阳光间空气温度变化规律趋势一致,进而提出附加阳光间导热变化系数和温度变化系数,以该参数为基础建立了关键结构参数与传热量之间的多元回归模型,该简化计算方法与实测值对比结果表明吻合度较大,简化计算方法精度较高,可供实际工程设计使用。

Abstract

The heat transfer of the passive house with attached sunspace is affected by both ambient air temperature and solar radiation, resulting in obvious fluctuations in thermal load. The traditional steady-state calculation method is difficult to be applied, and the dynamic method is too complex for engineering design. Therefore this paper uses the periodic response coefficient method to study the quantitative correlation between the structural parameters and the heat transfer of the passive house, and combining the structural parameters, a new simplified calculation method for the heat load of the passive house with attached sunspace was proposed. The results show that the total heat transfer of sunspace is greatly affected by the structural parameters of the party wall, and the heat transfer of the inner door is positively related to the thermal resistance of the party wall, and the heat transfer of the wall is negatively related to the thermal resistance of the wall; Under the same enclosure structure, the change trend of the heat conduction of the party wall and the air temperature between the sunspace and the party wall are consistent for different parameter combinations. Thus, the thermal conductivity variation coefficient and temperature variation coefficient of the attached sunspace are proposed. Based on these parameters, the multivariate regression model between the key structural parameters and the heat transfer is established. The comparison between the simplified calculation method and the measured value showed that the simplified calculation method is more consistent and simplified, the calculation method has high accuracy and can be used in practical engineering design.

关键词

被动太阳房 / 热负荷 / 回归分析 / 附加阳光间 / 简化计算方法

Key words

passive solar building / thermal load / regression analysis / attached sunspace / simplify calculations method

引用本文

导出引用
刘艳峰, 田师果, 周勇, 王登甲. 附加阳光间型被动式太阳房传热量简化计算方法研究[J]. 太阳能学报. 2022, 43(4): 256-263 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0714
Liu Yanfeng, Tian Shiguo, Zhou Yong, Wang Dengjia. STUDY ON SIMPLIFIED CALCULATION METHOD OF HEAT TRANSFER IN PASSIVE HOUSE WITH ATTACHED SUNSPACE[J]. Acta Energiae Solaris Sinica. 2022, 43(4): 256-263 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0714
中图分类号: TU18   

参考文献

[1] 刘艳峰, 刘加平, 杨柳, 等. 拉萨地区被动太阳能传统民居测试研究[J]. 太阳能学报, 2008, 29(4): 391-394.
LIU Y F, LIU J P, YANG L, et al. Measuring study of passive solar house for traditional dwelling building in Lhasa area[J]. Acta energiae solaris sinica, 2008, 29(4): 391-394.
[2] 燕达, 谢晓娜, 宋芳婷, 等. 建筑环境设计模拟分析软件DeST——第一讲建筑模拟技术与DeST发展简介[J]. 暖通空调, 2004(7): 48-56.
YAN D, XIE X N, SONG F T, et al. Building environment design simulation software DeST (1): An overview of development and information of building simulation and DeST[J]. Heating ventilating & air conditioning, 2004(7): 48-56.
[3] 王德芳, 午锁平, 喜文华.附加阳光间型被动式太阳能采暖房数学模型及其模拟程序PSHS[J]. 甘肃科学学报, 1990(2): 18-31.
WANG D F, WU S P, XI W H.The mathematical model and the simulation calculation program of sunspace passive solar house[J]. Journal of Gansu sciences, 1990(2): 18-31.
[4] 李元哲, 狄洪发, 王德芳.被动式太阳房冬季平均室温的予测及特朗勃墙的集热效率[J]. 甘肃科学学报, 1992(1): 6-12.
LI Y Z,DI H F,WANG D F.Predicting the mean room air temperature in winter and the thermal efficiency of Trombe walls of passive solar houses[J]. Journal of Gansu Science, 1992(1): 6-12.
[5] 刘加平.附加阳光间式窑居太阳房热过程理论[D]. 重庆: 重庆建筑大学, 1998.
LIU J P.The theory of thermal process in the solar house with attached sunspace[D]. Chongqing: Chongqing University of Architecture, 1998.
[6] 冯晶琛, 丁云飞, 吴会军.Energy Plus能耗模拟软件及其应用工具[J]. 建筑节能, 2012, 40(1): 64-67, 80.
FENG J C, DING Y F, WU H J.Energyplus energy simulaiton software and its application tools[J]. Building energy efficiency, 2012, 40(1): 64-67,80.
[7] 王磊.西藏地区被动太阳能建筑采暖研究[D]. 成都: 西南交通大学, 2008.
WANG L.Study on the passive solar heating building in tibet[D]. Chengdu: Southwest Jiaotong University, 2008.
[8] 李亚亚.西安新农村被动式太阳房热工设计[D]. 西安: 长安大学, 2014.
LI Y Y.Thermal design on passive solar building of xin nong cun in Xi’an[D]. Xi’an: Chang’an University, 2014.
[9] MA Q S, FUKUDA H, LEE M, et al. Experimental analysis of the thermal performance of a sunspace attached to a house with a central air conditioning system[J]. Sustainability, 2018, 10(5): 17.
[10] 殷双喜.附加阳光间式被动太阳房热负荷特性研究[D]. 西安: 西安建筑科技大学, 2011.
YIN S X.Study on thermal load characteristics on passive solar house with attached sunspace[D]. Xi’an: Xi’an University of Architecture and Technology, 2011.
[11] 彦启森.建筑热过程[M]. 北京: 中国建筑工业出版社, 1986.
YAN Q S.Building thermal process[M]. Beijing: China Architecture & Building Press, 1986.
[12] 王德芳.阳光间和房间之间的自然对流换热计算方法[J]. 甘肃科学学报, 1991(2): 1-5.
WANG D F.Calculating method for natural convection heat transfer between sunspace and adjoining room[J]. Journal of Gansu sciences, 1991(2): 1-5.
[13] 徐宏庆, 黄季宜, 燕达, 等. 冬季设计日逐时热负荷计算方法研究[J]. 暖通空调, 2018, 48(7): 5-10.
XU H Q, HUANG J Y, YAN D, et al. Calculation method for hourly heating load of winter design day[J]. Heating ventilating & air conditioning, 2018, 48(7): 5-10.
[14] 周勇.逐日太阳辐射估算模型及室外计算辐射研究[D]. 西安: 西安建筑科技大学, 2019.
ZHOU Y.Research on the development of the daily solar radiation estimation models and outdoor design radiation[D]. Xi’an: Xi’an University of Architecture and Technology, 2019.
[15] 高庆龙.被动式太阳能建筑热工设计参数优化研究[D]. 西安: 西安建筑科技大学, 2006.
GAO Q L.Thermal parameters optimization on passive solar building design in China[D]. Xi’an: Xi’an University of Architecture and Technology, 2006.
[16] 马超, 刘艳峰, 王登甲, 等. 西北农村住宅建筑热工性能及节能策略分析[J]. 西安建筑科技大学学报(自然科学版), 2015, 47(3): 427-432.
MA C, LIU Y F, WANG D J, et al. Analysis of thermal performance and energy saving strategy of rural residence building in Northwest[J]. Journal of Xi’an University of Architecture and Technology(natural science edition), 2015, 47(3): 427-432.
[17] GB 50189—2015, 公共建筑节能标准[S].
GB 50189—2015, Design standad fo efficiency of public buildings[S].
[18] 陆耀庆.实用供热空调设计手册[M]. 北京: 中国建筑工业出版社, 2009.
LU Y Q.Handbook of practical design of heating and air conditioning[M]. Beijing: China Architecture & Building Press, 2009.
[19] 谢宇.回归分析[M]. 北京: 社会科学文献出版社, 2010.
XIE Y.Regression analysis[M]. Beijing: Social Sciences Academic Press, 2010.

基金

“十三五”国家重点研发计划课题(2016YFC0700400); 陕西省重点研发项目(2018ZDCXL-SF-03-01)

PDF(2917 KB)

Accesses

Citation

Detail

段落导航
相关文章

/