Simulation Analysis and Scheme Optimization of Energy Consumption in Public Buildings
Simulation Analysis and Scheme Optimization of Energy Consumption in Public Buildings
复制标题
公共建筑能耗模拟分析及方案优化
DOI：
10.1155/2019/6326138
复制
发表时间：
2019-07
影响因子：
1.8
通讯作者：
Chen Wenman
中科院分区：
文献类型：
--
作者：
Liu Yang;Zou Shiqing;Chen Hongyu;Wu Xianguo;Chen Wenman
在中国节能减排的要求下，建筑能耗在社会总能耗中所占的比重越来越大，成为节能研究的重点。能耗水平较高的公共建筑已成为节能研究的重要内容。开展大型公共建筑节能研究具有重要的现实意义和社会价值。本文以某大型办公楼为例进行了实例分析。首先，利用能耗仿真分析方法构建了仿真模型，并与实际能耗进行对比，验证了模型的可靠性。其次，基于该模型，对六种建筑围护结构的热工设计参数，包括外墙换热系数，按节能敏感度的顺序进行了分析。根据敏感度分析结果，对各因素提出了建议。最后，考虑到各参数对建筑能耗的相互影响，采用正交设计法安排试验，分析节能效果的最优方案组合，为公共建筑围护结构的节能提供决策支持。
Under the requirement of energy savings and emission reduction in China, building energy consumption, which occupies a rising proportion of the total energy consumption in society, has become the focus of energy conservation research. Public buildings with a high-energy consumption level have become the most important part of energy conservation research. It is of great practical significance and social value to study energy conservation in large public buildings. In this paper, a large office building is taken as an example. First, a simulation model is constructed by using the energy consumption simulation analysis method, and the reliability of the model is verified by a comparison with the actual energy consumption. Second, based on the model, the thermal design parameters of six building envelope structures, including the external wall heat transfer coefficient, are analyzed in the order of energy-saving sensitivity. Based on the results of the sensitivity analysis, suggestions for each factor are presented. Finally, considering the mutual influence of each parameter on the building energy consumption, the orthogonal design method is used to arrange the test, and the optimal scheme combination of the energy-saving effect is analyzed, which can provide decision support for the energy saving of public building envelopes.
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DOI：
10.4028/www.scientific.net/amm.580-583.3134
发表时间：
2014-07
期刊：
Applied Mechanics and Materials
影响因子：
--
作者：
Lin Zhang
通讯作者：
Lin Zhang
影响因子：
6.8
作者：
Jianjun Zhu;David Chew;Sai-nan Lv;Weiwei Wu
通讯作者：
Jianjun Zhu;David Chew;Sai-nan Lv;Weiwei Wu
影响因子：
6.7
作者：
Jianen Huang;H. Lv;Tao Gao;Wei Feng;Yanxia Chen;Tai Zhou
通讯作者：
Jianen Huang;H. Lv;Tao Gao;Wei Feng;Yanxia Chen;Tai Zhou
影响因子：
6.7
作者：
M. Melo;Luiz Bueno da Silva;A. Coutinho;V. Sousa;N. Perazzo
通讯作者：
M. Melo;Luiz Bueno da Silva;A. Coutinho;V. Sousa;N. Perazzo
影响因子：
6.7
作者：
D. Yan;Tianzhen Hong;Cheng Li;Qi Zhang;Jingjing An;Shan Hu
通讯作者：
D. Yan;Tianzhen Hong;Cheng Li;Qi Zhang;Jingjing An;Shan Hu