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Joshua M. Pearce

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GIS

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Toward Renewable Eenergy Geo-Information Infrastructures: Applications Of Giscience And Remote Sensing That Build Institutional Capacity, K. Calvert, Joshua M. Pearce, W. E. Mabee Oct 2015

Toward Renewable Eenergy Geo-Information Infrastructures: Applications Of Giscience And Remote Sensing That Build Institutional Capacity, K. Calvert, Joshua M. Pearce, W. E. Mabee

Joshua M. Pearce

Sustained policy support is necessary in order to drive a transition toward renewable energy (RE). The ability to realize RE policy objectives is constrained by a range of geographic factors related to resource potential, the distribution of resources, land availability/suitability, the absorptive capacity of proximal infrastructure, and local socio-political acceptance. With this in mind, this paper provides a systematic review of how geographic information science and remote sensing techniques have been applied to reduce uncertainties surrounding renewable energy development, with emphasis on policy and planning needs. The concept of a ‘geo-information infrastructure’ is used to bring coherence and direction to …


Quantifying Rooftop Solar Photovoltaic Potential For Regional Renewable Energy Policy, L. K. Winginton, H. T. Nguyen, Joshua M. Pearce Jul 2009

Quantifying Rooftop Solar Photovoltaic Potential For Regional Renewable Energy Policy, L. K. Winginton, H. T. Nguyen, Joshua M. Pearce

Joshua M. Pearce

Solar photovoltaic (PV) technology has matured to become a technically viable large-scale source of sustainable energy. Understanding the rooftop PV potential is critical for utility planning, accommodating grid capacity, deploying financing schemes and formulating future adaptive energy policies. This paper demonstrates techniques to merge the capabilities of geographic information systems and object-specific image recognition to determine the available rooftop area for PV deployment in an example large-scale region in south eastern Ontario. A five-step procedure has been developed for estimating total rooftop PV potential which involves geographical division of the region; sampling using the Feature Analyst extraction software; extrapolation using …