کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
263031 504062 2014 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Experimental characterization and implementation of an integrated autoregressive model to predict the thermal performance of vegetal façades
ترجمه فارسی عنوان
خصوصیات تجربی و پیاده سازی مدل یکپارچه ی خودکار برای پیش بینی عملکرد حرارتی فائو های گیاهی
کلمات کلیدی
نمای ساختمان گیاهی، اندازه گیری های تجربی، مدل عددی پیش بینی شده، عملکرد حرارتی نما بهره وری انرژی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


• A real-scale vegetal façade was monitored during three years in a Mediterranean climate.
• Results show that the vegetation layer improves interior environmental conditions.
• A predictive numerical model was fitted and experimentally validated.
• Results show the high accuracy of the model, being the R-squared around 85%.
• The model is suitable for buildings located in similar climates to the one studied.

This article presents the results of an experimental study carried out in a vegetal façade situated in a locality close to Madrid.The objectives of the study are to develop a performance predictive model of a vegetal façade whose independent variables are irradiance, exterior temperature and relative humidity, based on the effect of the vegetation on the environmental conditions of the building, as well as to characterize thermally the vegetal element by comparing two identical enclosures (with a vegetal layer present in one of them being the only difference).The results of the three-year monitoring period are analyzed by means of statistical data processing and an autoregressive model is fitted. This model estimates the temperature difference between both enclosures. The validation of the model based on the experimental data is done subsequently.Once the improvements caused by the vegetation on the interior environmental conditions of the building have been quantified, the results show that it is possible to predict with high accuracy the vegetation's performance, being the multiple R-squared of the estimated models around 85%.Furthermore, the application of the model is suitable for other buildings located in a similar climate to the one studied, as the independent variables exclusively depend on climate conditions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy and Buildings - Volume 72, April 2014, Pages 309–321
نویسندگان
, , , ,