دانلود مقاله ISI انگلیسی شماره 66897
ترجمه فارسی عنوان مقاله

ارزیابی پتانسیل انرژی خورشیدی محیط های شهری با چگالی کم در شهرهای رشته کوه آند با اقلیم کویری: مورد شهرستان مندوزا در آرژانتین؛ بخش دوم

عنوان انگلیسی
Assessing the solar potential of low-density urban environments in Andean cities with desert climates: The case of the city of Mendoza, in Argentina. 2nd. Part
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
66897 2010 8 صفحه PDF
منبع

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

Journal : Renewable Energy, Volume 35, Issue 7, July 2010, Pages 1551–1558

ترجمه کلمات کلیدی
توسعه شهری پایدار؛ ساختمان مورفولوژی؛ دسترسی خورشیدی؛ بهره وری انرژی
کلمات کلیدی انگلیسی
Sustainable urban development; Building morphology; Solar access; Energy efficiency
پیش نمایش مقاله
پیش نمایش مقاله  ارزیابی پتانسیل انرژی خورشیدی محیط های شهری با چگالی کم در شهرهای رشته کوه آند با اقلیم کویری: مورد شهرستان مندوزا در آرژانتین؛ بخش دوم

چکیده انگلیسی

Energy use in the built environment is globally recognized as a key issue for sustainable urban development. In temperate-cold arid regions with a generous solar resource, such as those of western Argentina, adequate design and technology can substantially reduce the energy demand for space and water heating in urban buildings. The solar potential of low-density residential urban areas in the city of Mendoza's Metropolitan Area (MMA), has been studied earlier in this research [1]. Several indicators of the solar potential were elaborated. They provide necessary information when planning and designing new urban structures or refurbishing existing ones. However, a more direct indicator, relating the available solar radiation during a heating season to the space volume to be heated, the Volumetric Insolation Factor (VIF), seems to be of most practical use as far as contributing a helpful evaluation indicator, to the above mentioned design processes. The present study follows the methodological steps used in the former research, evaluating comparatively the results of a Graphic-Computational Model and a Multiple Linear Regression Statistical Model. As in the earlier study, the good fit of both models' results clearly point at the reliability of the statistical procedure and its valuable contribution of a simplified calculation tool as its by-product.