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气候变暖对建筑围护结构设计标准的影响 被引量:2

The impact of global warming on the design standard of building envelops
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摘要 以J.E.Braun等提出的建筑热力模型为基础进行了模型分析,在保证空调负荷不增加的前提下,编制PSO算法程序,利用Matlab作为仿真工具,对不同气象条件下的建筑模型参数进行辨识.根据模型参数和围护结构实际参数之间的关联,提出在建筑节能气候分区标准下的冬冷夏热地区应该对围护结构的参数进行调整,以利用它的隔热和蓄冷效果来防止气候变暖引起建筑耗能的增高. By analyzing the model presented by J. E. Braun, the PSO algorithm and Matlab simulation tool were used to identify the parameters both in 2008 and 2100 under the condition of invariable cooling load. The model parameters are related to real physical ones, so it is possible to give out adjustment references of thermal parameters to stop the increasing energy consumption causing global wanning.
作者 张讯华 高清
出处 《山东大学学报(工学版)》 CAS 北大核心 2009年第5期52-57,共6页 Journal of Shandong University(Engineering Science)
基金 山东省科学技术发展计划资助项目(2007GG2007004) 山东省信息产业发展专项资助项目(2007R00065)
关键词 气候变暖 冷负荷 粒子群(PSO)算法 建筑节能设计标准 建筑节能气候分区 global warming cooling load particle swarm optimization design standards for energy efficiency of buildings climatic regions of building energy efficiency
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参考文献14

  • 1IPCC. Plenary XXVII climate change 2007: cynthesis ceport [ R/OL ]. Valencia Spain 2007 [ 2009-04-14 ]. http://ipcc. ch/pdf/assessment reportZar4/syr/ar4syr-pdf.
  • 2王昭俊,孙晓利,赵加宁,刘京.利用夜间通风改善办公建筑热环境的实验研究[J].哈尔滨工业大学学报,2006,38(12):2084-2088. 被引量:20
  • 3李峥嵘.相变墙体在空调降温中的应用[J].暖通空调,2001,31(2):41-41. 被引量:17
  • 4WARD I C. Will global wanning reduce the carbon emissions of the Yorkshire Humber Region' s domestic building stock-a scoping study [ J]. Energy and Buildings, 2008, 40: 998- 1003.
  • 5TH FRANK. Climate change impacts on building heating and cooling energy demand in Switzerland[J]. Energy and Buildings, 2005, 37:1175-1185.
  • 6TOMOHIKO I, YUKIHIRO K, KAZUFAKE A, et al. Changes in year-round air temperature and annual energy consumption in office building areas by urban heat-island countermeasures and energy-saving measures[J]. Applied Energy, 2008, 85: 12-25.
  • 7LEE K, BRAUN J E. Model-based demand-limiting control building thermal mass [ J ]. Building and environment, 2007, 43(10) : 1633-1646.
  • 8付祥钊,张慧玲,黄光德.关于中国建筑节能气候分区的探讨[J].暖通空调,2008,38(2):44-47. 被引量:27
  • 9BRAUN K, CHATURVEDI N. An inverse gray-box model for transient building load prediction [ J]. HVAC&R Research, 2002, 8(1) :73-99.
  • 10LIAO Z, DEXTER A. A simplified physical model for estimating the average air temperature in multi-zone heating system[J]. Building and Environment, 2004, 39:1013-1022.

二级参考文献18

  • 1陈沛霖.间接蒸发冷却在我国适用性的分析[J].暖通空调,1994,24(5):3-5. 被引量:42
  • 2付祥钊,高志明,康侍民.长江流域住宅夏季通风降温方式探讨[J].暖通空调,1996,26(3):27-29. 被引量:14
  • 3李峥嵘.蒸发冷却技术和相变技术在晚间通风系统中的应用研究(博士学位论文)[M].上海:同济大学,1995..
  • 4中国建筑科学研究院.GB 50178-93 建筑气候区划标准[S].北京:中国计划出版社,1993.
  • 5Kennedy J, Eberhart R. Particle swarm optimization [A]. Proc of Int'l Conf on Neural Networks [C]. Piscataway: IEEE Press, 1995. 1942-1948.
  • 6Eberhart R, Kennedy J. A new optimizer using particle swarm theory [A]. Proc of Int'l Symposium on Micro Machine and Human Science [C]. Piscataway: IEEE Service Center, 1995. 39-43.
  • 7Shi Y, Eberhart R C. Fuzzy adaptive particle swarm optimization [A].In: Furuhashi T,Mckay B,eds. Proc Congress on Evolutionary Computation [C]. Piscataway: IEEE Press, 2001.
  • 8Lovbjerg M, Rasmussen T K, Krink T. Hybrid particle swarm optimiser with breeding and subpopulations [A]. In: Spector L,eds. Proc of Genetic and Evolutionary Computation Conference [C]. San Fransisco: Morgan Kaufmann Publishers Inc, 2001. 469-476.
  • 9Carlisle A, Dozier G. Adapting particle swarm optimization to dynamic environments [A]. In: Arabnia H R,eds. Proc of Int'l Conf on Artificial Intelligence [C]. Las Vegas: CSREA Press, 2000. 429-434.
  • 10Parsopoulos K E, Vrahatis M N. Particle swarm optimization method in multiobjective problems [A]. In: Panda B,eds. Proc of ACM Symposium on Applied Computing [C]. Boston: ACM Press, 2002. 603-607.

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