دانلود مقاله ISI انگلیسی شماره 159773
ترجمه فارسی عنوان مقاله

در ارزیابی پدیده جزیره گرمایی شهری و تأثیر آن بر عملکرد انرژی ساختمان: مطالعه موردی رم (ایتالیا)

عنوان انگلیسی
On the assessment of urban heat island phenomenon and its effects on building energy performance: A case study of Rome (Italy)
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
159773 2018 17 صفحه PDF
منبع

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

Journal : Energy and Buildings, Volume 158, 1 January 2018, Pages 605-615

ترجمه کلمات کلیدی
جزیره گرمایی شهری، داده های هواشناسی، شبیه سازی دینامیک، خنک کننده تابستان، گرمایش زمستانی، دمای هوا، رطوبت نسبی، سرعت باد،
کلمات کلیدی انگلیسی
Urban heat island; Weather data; Dynamic simulation; Summer cooling; Winter heating; Air temperature; Relative humidity; Wind velocity;
پیش نمایش مقاله
پیش نمایش مقاله  در ارزیابی پدیده جزیره گرمایی شهری و تأثیر آن بر عملکرد انرژی ساختمان: مطالعه موردی رم (ایتالیا)

چکیده انگلیسی

A wide variety of weather-data are readily available for simulating buildings energy performance by using dynamic software. However, climate change and its effects on buildings energy performance represent a critical issue, also considering the implications of climate change on human comfort. Starting from this, the present study aims at analyzing the climatic conditions in Rome and its surroundings, evaluating the occurrence of the Urban Heat Island (UHI) phenomenon. Therefore, meteorological data derived from two airports near the city and climatic data registered for two years in a central, densely-built zone of Rome were analyzed and compared. Furthermore, the differences among weather data were tested by means of a commonly used dynamic software in order to evaluate the effects of different climatic boundary conditions on building energy performance, in terms of heating and cooling energy demands. The results highlight significant differences with regard to temperature, wind velocity and relative humidity, as a result of a prevailing UHI phenomenon in central Rome throughout the year. The simulations show an average increase of cooling energy demand of about 30% and an average reduction of heating energy demand of about 11%. Such differences give the rise for the investigation of the reliability of weather-data files commonly used in building simulations, in order to properly estimate the buildings energy demand under a sustainable city perspective.