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Renewable and Sustainable Energy Reviews
Article . 2013 . Peer-reviewed
License: Elsevier TDM
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Toward renewable energy geo-information infrastructures: Applications of GIScience and remote sensing that build institutional capacity

Authors: Kirby Calvert; Joshua M. Pearce; Joshua M. Pearce; Warren Mabee;

Toward renewable energy geo-information infrastructures: Applications of GIScience and remote sensing that build institutional capacity

Abstract

Sustained policy support is necessary in order to drive a transition toward renewable energy (RE). The ability to realize RE policy objectives with minimal impact on policy goals outside of the RE domain 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 this growing body of literature. The review highlights four underdeveloped research areas, including: resolving issues of scalar discordance through comprehensive analysis at local and regional scales; mapping interactions in space of multiple supply options to deliver more accurate and sophisticated estimates of RE potential in an area and to identify competitive and symbiotic land-use situations; using energy resource maps as primary inputs into the development of technology road-maps; and developing geographically explicit indicators which can signal priority areas for RE recovery based on social and environmental returns on investments. In each case, suggestions moving forward are provided. The paper identifies knowledge-based institutional networking as a pathway through which local and regional public authorities can be equipped with the resources necessary to build and mobilize a geo-information infrastructure.

Country
Canada
Keywords

[SDE] Environmental Sciences, Renewable energy, 330, [SHS.GEO] Humanities and Social Sciences/Geography, 710, Geo-information, 333, Constraint analysis, JEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q4 - Energy/Q.Q4.Q48 - Government Policy, constraint analysis, Methodological scale, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, geo-information, [SHS.GEO]Humanities and Social Sciences/Geography, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, GIS, renewable energy, [SDE]Environmental Sciences, methodological scale, jel: jel:Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q4 - Energy/Q.Q4.Q48 - Government Policy

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    95
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
95
Top 1%
Top 10%
Top 10%
Green
bronze