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A statistical-based optimization method to integrate thermal comfort in the design of low energy consumption building
Journal of Building Engineering ( IF 6.4 ) Pub Date : 2020-07-24 , DOI: 10.1016/j.jobe.2020.101661
Abed Al Waheed Hawila , Abdelatif Merabtine

It is necessary to design energy-efficient buildings so that a trade-off between energy-savings and occupants’ thermal comfort is fulfilled. Advanced thermal comfort-based control strategies have been proposed for this purpose. However, such an approach could consume energy as the conventional one if the building is poorly designed. The aim of this study is to propose a method that integrates thermal comfort in the design of energy-efficient buildings. The use of sensitivity analysis and an optimization approach to identify the values of design parameters represent its core steps. The meta-modeling approach based on the design of experiments technique is adopted to perform the sensitivity analysis. Then, the obtained meta-models are used to optimize building design for the intended objectives. A case study is selected to test the proposed method. The results indicated that implementing the suggested strategy leads to about 20% of heating energy-savings compared to the base case while significantly enhancing occupant thermal comfort. Moreover, the results indicated that a reduction of about 22% of heating energy can be achieved compared to the comfort controlled case while it consumes 4% more if the comfort control is applied to the optimized design while maintaining consistent thermal comfort conditions.



中文翻译:

基于统计的优化方法,将热舒适度整合到低能耗建筑的设计中

必须设计节能建筑,以便在节能与居住者的热舒适性之间进行权衡。为此已经提出了基于先进的热舒适性的控制策略。但是,如果建筑物设计不佳,这种方法可能会像传统方法那样消耗能量。这项研究的目的是提出一种将热舒适性整合到节能建筑设计中的方法。灵敏度分析和优化方法来识别设计参数值是其核心步骤。采用基于实验技术设计的元建模方法进行敏感性分析。然后,将获得的元模型用于针对预期目标优化建筑设计。选择案例研究来测试所提出的方法。结果表明,与基本案例相比,实施建议的策略可节省约20%的供暖能源,同时显着提高乘员的热舒适度。此外,结果表明,与舒适控制的情况相比,可减少约22%的热能,而如果将舒适控制应用于优化设计并保持一致的热舒适条件,则其消耗的热量将增加4%。

更新日期:2020-07-24
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