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《Building Energy Efficiency》 2013-03
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Prediction of Future Weather Data and Building Energy Demand for Representative Cities in China under Climate Change

ZHU Ming-ya,PAN Yi-qun,SHA Hua-jing,XU Peng,HUANG Zhi-zhong(School of Mechanical Engineering,Tongji University,Shanghai 201804,China)  
Concerned by tremendous effects on ecosystem and environment,global warming trend has been proved since the turn of 20th century.Undoubtedly climate change could have significant influence on building energy demand.Based on the latest predictions by the In tergovernmental Panel on Climate Change(IPCC),it describes the integration of predictive climate change calculated by selected global cli mate model(GCM) under future climate scenarios(RCP4.5 and RCP8.5) into existing Typical Meteorological Year(TMY) for future weather data prediction.Future hourly weather files for three representative cities in China(Beijing,Shanghai and Guangzhou) and five future periods(2000-2017,2018-2035,2036-2053,2054-2071 and 2072-2089) are generated by a statistical downscaling method-Morphing.These fu ture TMY weather files are used in different prototype building models for annual energy consumption simulation,predicting future trends of building energy demand in different typical city by 2100.
【Fund】: 国际科技合作计划课题(2010DFB73870-3)住房城乡建设系统应对气候变化的低碳技术研发与应用合作研究-中国低碳建筑技术的应用研究
【CateGory Index】: P463.3;TU111.195
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