Analysis on Simulation Meteorological Data Under Climate Change

LIU Da-long; LIU Jia-ping; YANG Liu; ZHANG Wei-hua

doi:10.11835/j.issn.1674-4764.2012.02.018

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Analysis on Simulation Meteorological Data Under Climate Change

更新时间：2023-11-28

- Analysis on Simulation Meteorological Data Under Climate Change
- Journal of Civil and Environmental Engineering Vol. 34, Issue 2, Pages: 110-114(2012)
- 作者机构：
  
  西安建筑科技大学建筑学院,西安,710055
- 作者简介：
- 基金信息：
- DOI：10.11835/j.issn.1674-4764.2012.02.018
  CLC：
- Published：2012
- 稿件说明：
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LIU Da-long, LIU Jia-ping, YANG Liu, et al. Analysis on Simulation Meteorological Data Under Climate Change[J]. Journal of Civil and Environmental Engineering, 2012, 34(2): 110-114.
DOI：

LIU Da-long, LIU Jia-ping, YANG Liu, et al. Analysis on Simulation Meteorological Data Under Climate Change[J]. Journal of Civil and Environmental Engineering, 2012, 34(2): 110-114. DOI： 10.11835/j.issn.1674-4764.2012.02.018.

摘要

气象参数是建筑能耗模拟的基础

随着全球气候异常变暖

必将对建筑采暖和空调能耗产生重要影响。进行未来气候条件下的建筑能耗模拟

必须首先开展未来模拟气象参数的研究。根据TMY2模拟气象参数模式提出了节能分析气象年(AEEMY)模拟气象参数模式。使用了3个气候模型预测了中国建筑热工分区代表城市未来2021-2050的30 a气象参数。使用AEEMY模式得到了1971-2000年和2021-2050年代表城市的建筑能耗模拟气象参数。应用DOE2模拟软件对中国各气候区的居住建筑在2种气候条件下进行了建筑能耗模拟。验

Abstract

Climate has a determining influence on building energy consumption. Since 1980s

the global climate has appeared excessive warming

which inevitably causes the change of building energy consumption. The climatic simulation was used to forecast meteorological data from 2021 to 2050 for five cities in China. The five cities represent five different climate types in China. According to the Analysis of Energy Efficient Meteorological Year (AEEMY)

model of meteorological data for building energy simulation based on TMY2 was presented. At the same time

meteorological data for DOES was also made from 1971 to 2000. A high residential building was respectively simulated in five cities under two kinds of meteorological data by using DOE2 software. The model of simulation was proved by the simulation result.

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