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Enhancing public building energy efficiency using the response surface method: An optimal design approach
Environmental Impact Assessment Review ( IF 9.8 ) Pub Date : 2021-01-11 , DOI: 10.1016/j.eiar.2020.106548
Yang Liu , Xian-jia Wang , Shan Zhou , Hongyu Chen

Today, energy problems are becoming increasingly serious. The direct energy consumption of buildings accounts for 20% of the total energy consumption in a country. There are difficulties in continuing the mode of high energy consumption in the traditional construction industry. Therefore, the future of construction is in the development of green buildings. In the life cycle of a building, the consumption during the construction phase accounts for only approximately 20% of the total energy consumption. Most of the consumption occurs during buildings operations, such as lighting, heating, air conditioning and the running of various electrical appliances. Therefore, this paper focuses on the energy consumed during the building operation period with the aim of optimizing relevant design parameters to reduce total energy consumption. The West Twelfth Teaching Building (WTTB) of Huazhong University of Science & Technology (HUST) is used as a prototype, and Design Builder is used to establish a model of energy consumption and validate the reliability of the model based on the data obtained from the investigation. Based on this model, the study takes the perspective of energy conservation to analyze ten factors that may affect the energy consumption of the building: the heat transfer coefficient of the roof, the amount of fresh air, the heat transfer coefficient of interior walls, the heat transfer coefficient of the floors, the interior temperature, the energy efficiency ratio of the air conditioner, the thickness of the outer wall insulation, the ratio of windows to walls, the natural ventilation starting temperature and the solar heat gain coefficient of the outer windows. Those factors are then ranked according to their energy-saving potential through partial factorial design tests. The six factors with the most potential for energy savings are selected and divided into 2 groups to conduct a response surface optimization analysis of three factors at three levels. The best level of each factor and the optimal combination of all factors are obtained to reduce building energy consumption to the greatest possible extent and to provide a reference for teaching buildings and similar public buildings (PBs) in achieving the goal of “green building.”



中文翻译:

使用响应面法提高公共建筑的能源效率:一种最佳设计方法

今天,能源问题变得越来越严重。建筑物的直接能耗占一个国家总能耗的20%。在传统建筑行业中,要继续保持高能耗模式是有困难的。因此,建设的未来在于绿色建筑的发展。在建筑物的生命周期中,建筑阶段的能耗仅约占总能耗的20%。大部分消耗发生在建筑物运行期间,例如照明,供暖,空调和各种电器的运行。因此,本文着眼于建筑物运营期间的能耗,以优化相关设计参数以减少总能耗。华中科技大学(HUST)的西第十二教学楼(WTTB)被用作原型,Design Builder被用来建立能耗模型并基于从工厂获得的数据验证模型的可靠性。调查。在此模型的基础上,本研究从节能的角度分析了可能影响建筑物能耗的十个因素:屋顶的传热系数,新鲜空气量,内墙的传热系数,地板的传热系数,内部温度,空调的能效比,外墙保温层的厚度,窗户与墙壁的比率,自然通风开始温度以及外窗的太阳热能吸收系数。然后通过部分析因设计测试,根据其节能潜力对这些因素进行排名。选择具有最大节能潜力的六个因素,并将其分为两组,对三个层面的三个因素进行响应面优化分析。获得每个因素的最佳水平和所有因素的最佳组合,以最大程度地减少建筑能耗,并为实现“绿色建筑”目标的教学建筑和类似的公共建筑(PB)提供参考。选择具有最大节能潜力的六个因素,并将其分为两组,对三个层面的三个因素进行响应面优化分析。获得每个因素的最佳水平和所有因素的最佳组合,以最大程度地减少建筑能耗,并为实现“绿色建筑”目标的教学建筑和类似的公共建筑(PB)提供参考。选择具有最大节能潜力的六个因素,并将其分为两组,对三个层面的三个因素进行响应面优化分析。获得每个因素的最佳水平和所有因素的最佳组合,以最大程度地减少建筑能耗,并为实现“绿色建筑”目标的教学建筑和类似的公共建筑(PB)提供参考。

更新日期:2021-01-11
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