دانلود مقاله ISI انگلیسی شماره 111026
ترجمه فارسی عنوان مقاله

تجزیه و تحلیل حساسیت عملکرد انرژی و راحتی حرارتی در طول فرآیند طراحی ساختمان

عنوان انگلیسی
Sensitivity analysis of energy performance and thermal comfort throughout building design process
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
111026 2018 46 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Energy and Buildings, Volume 164, 1 April 2018, Pages 278-294

ترجمه کلمات کلیدی
تجزیه و تحلیل میزان حساسیت، مصرف انرژی، طراحی مجتمع، راحتی حرارتی، تعامل متغیرها،
کلمات کلیدی انگلیسی
Sensitivity analysis; Energy consumption; Integrated design; Thermal comfort; Variables interactions;
پیش نمایش مقاله
پیش نمایش مقاله  تجزیه و تحلیل حساسیت عملکرد انرژی و راحتی حرارتی در طول فرآیند طراحی ساختمان

چکیده انگلیسی

In a traditional building design process (TDP), design variables are fixed sequentially, as opposed to integrated design process (IDP) which tends to avoid sequential design phases to create more sustainable buildings. First, a reference building is introduced and an energy model based on TRNSYS is presented to determine the energy consumption and comfort in the building. The model is validated based on energy bills, certified simulations and literature. Then, the paper performs an extended sensitivity analysis (SA) of 30 design variables with respect to different performance criteria related to energy consumption and comfort, based on a TRNSYS model. Three SA techniques were used, namely standard regression coefficients (SRC), partial rank correlation coefficients (PRCC) and Sobol indices. Results show that all three techniques yielded a similar ranking of the importance of the variables for most model outputs. Interactions between variables were identified with second-order Sobol indices. In the second part of this paper, a traditional design framework was adopted in which sets of variables were fixed sequentially. A SA was performed at each phase of the process, assuming fixed values for parameters chosen in previous design phases. Results show that fixing variables during the phases of a traditional design process tends to reduce the probabilities of finding low-energy consumption designs. Moreover, the influence of some variables was found to change during the design phases.