2008
DOI: 10.1016/j.renene.2007.11.007
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Assessing the solar potential of low-density urban environments in Andean cities with desert climates: The case of the city of Mendoza, in Argentina

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Cited by 44 publications
(23 citation statements)
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“…In previous work, 41 the Mean Insolation Factor (MIF) indicator has been defined. The Mean Insolation Factor (MIF) provides a measure of the potentially collecting north facing walls, not masked by neighboring buildings and trees, calculated as: the ratio of the sum of insolated collecting areas of north facing walls, times the sum of the energy received at each considered hour, during a heating season, to the sum of the total areas of the same surfaces, free of all masking, times the sum of the hourly impinging radiation during the considered heating season, as a percentage.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In previous work, 41 the Mean Insolation Factor (MIF) indicator has been defined. The Mean Insolation Factor (MIF) provides a measure of the potentially collecting north facing walls, not masked by neighboring buildings and trees, calculated as: the ratio of the sum of insolated collecting areas of north facing walls, times the sum of the energy received at each considered hour, during a heating season, to the sum of the total areas of the same surfaces, free of all masking, times the sum of the hourly impinging radiation during the considered heating season, as a percentage.…”
Section: Methodsmentioning
confidence: 99%
“…1 (2) Considering the Mean Insolation Factor (MIF) on north facades and using a Multiple Linear Regression Model, the main variables that influence the access of the sun were determined. 41 These variables are: Building Morphology (B. Morp.…”
Section: Methodsmentioning
confidence: 99%
“…En los edificios bien diseñados, construidos y utilizados, es posible obtener hasta un 80% de la energía necesaria para calefacción (Arboit, Diblasi, Fernández Llano & De Rosa, 2008).…”
Section: Desarrollounclassified
“…In this way, a probable energy yield can be effectively calculated based on the reliability of the data obtained and the correct evaluation of the parameters used in the simulations. Zhang et al reviewed the state-of-the-art technologies for evaluating the reliability of large-scale PV systems [27]; on the other hand, Arboit et al assessed the solar potential of low-density urban environments [28,29]. Salazar and Raichijk studied the assessment of cloud conditions for determining the characteristics of solar resource availability and proposed a way to predict the actual cloud status in high altitude sites [30].…”
Section: Journal Of Solar Energymentioning
confidence: 99%