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== Background == | == Background == | ||
In many studies, scientists have determined methods of obtaining of Building-Integrated Photovoltaic (BIPV) potential as a function of the available roof area. However, the roof area is typically left as a variable, as there is no ''direct'' roof area data available in most regions of the world. Various modelling techniques can determine available roof area for a sample consisting of a few buildings, or perhaps a university campus. However, to estimate BIPV potential for a large region, these techniques are too labour-intensive. It is thought, however, that this information can be approximated on a large scale using data on urban area, building and population density, in combination with analysis of air photos or satellite images of urban regions. | In many studies, scientists have determined methods of obtaining of Building-Integrated Photovoltaic (BIPV) potential as a function of the available roof area. However, the roof area is typically left as a variable, as there is no ''direct'' roof area data available in most regions of the world. Various modelling techniques can determine available roof area for a sample consisting of a few buildings, or perhaps a university campus. However, to estimate BIPV potential for a large region, these techniques are too labour-intensive. It is thought, however, that this information can be approximated on a large scale using data on urban area, building and population density, in combination with analysis of air photos or satellite images of urban regions. | ||
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[[Category:Queens Applied Sustainability Group]] | [[Category:Queens Applied Sustainability Group]] | ||
== Related Pages == | |||
[http://www.appropedia.org/Regional_Rooftop_Solar_Photovoltaic_Potential_Literature_Review Regional Rooftop Solar Photovoltaic Potential Literature Review] | |||
Revision as of 15:35, 3 August 2009
Background
In many studies, scientists have determined methods of obtaining of Building-Integrated Photovoltaic (BIPV) potential as a function of the available roof area. However, the roof area is typically left as a variable, as there is no direct roof area data available in most regions of the world. Various modelling techniques can determine available roof area for a sample consisting of a few buildings, or perhaps a university campus. However, to estimate BIPV potential for a large region, these techniques are too labour-intensive. It is thought, however, that this information can be approximated on a large scale using data on urban area, building and population density, in combination with analysis of air photos or satellite images of urban regions.
This has been completed by Izquierdo, Rodrigues and Fueyo at the University of Zaragoza and LITEC in Spain (article available below). The purpose of this page is to attempt to customize their methodology to be applied to the South Eastern Region of Ontario, Canada.
This work is being done in conjunction with the Queen's Institute for Energy and Environment Policy.
Related Pages
Regional Rooftop Solar Photovoltaic Potential Literature Review