Title of article :
A method for estimating the geographical distribution
of the available roof surface area for large-scale
photovoltaic energy-potential evaluations
Author/Authors :
Salvador Izquierdo، نويسنده , , MARCOS RODRIGUES، نويسنده , , Norberto Fueyo *، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2008
Abstract :
A rigorously founded assessment of the potential of renewable energies is essential for the development of energy policies and regulations.
Usually, a hierarchy of potentials are calculated which gradually include restrictions for the use of a specific renewable resource.
This paper deals with the estimation of the technical potential of roof-integrated photovoltaic systems. The most restrictive step when
estimating this potential for large-scale territories is the estimation of the roof available area in existing buildings, for which no direct
data exists. The methodology proposed in this paper allows to estimate the roof area available for solar applications and also quantify
the error made in this estimation. It is based on easily accessible data (such as land uses and population and building densities) and on a
statistically representative stratified-sample of vectorial GIS maps of urban areas. The main point in this sampling process is that the
stratification is done based on a finite set of average building typologies which comprises every urban area in the region of study. An
interesting characteristic emerging from the proposed methodology is its scalability and the possibility of being used from regional to
continental scales. This methodology is applied in this work to Spain and a mean available area for photovoltaic equipment on roofs
of 14:0 4:5 m2=ca. with a confidence level of 95% is obtained. Additionally, results are given for the technical limit of production
of roof-integrated photovoltaic energy.
2008 Elsevier Ltd. All rights reserved.
Keywords :
GIS , Photovoltaic , BiPV , Representative sample , Renewable energy
Journal title :
Solar Energy
Journal title :
Solar Energy