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Using multi-criteria analysis to evaluate the feasibility of Renewable Energy Technologies and sites - the Data4Sustain Web GIS decision support tool

Nathanail, Judith; Marchant, Andy; Beriro, Darren; Kingdon, Andrew ORCID: https://orcid.org/0000-0003-4979-588X; Richardson, Steven; Beardmore, John; Gillett, Andrew; Nathanail, Paul. 2017 Using multi-criteria analysis to evaluate the feasibility of Renewable Energy Technologies and sites - the Data4Sustain Web GIS decision support tool. In: GISRUK 2017, Manchester, UK, 18-21 April 2017. GISRUK.

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Abstract/Summary

Developing renewable energy supplies face numerous barriers: finance; planning, viability constraints; many technologies; complexity of assessing feasibility; changing policy drivers. Therefore, a renewable energy decision-support tool is needed to systematically identify: constraints impeding / preventing development; feasible and / or priority technologies; integration with infrastructure. Data4Sustain’s Web GIS delineates potential resource and constraints to produce combined feasibility maps, integrating up to 100 data sets, using multi-criteria decision analysis. Resource, Constraint and Feasibility maps across multiple technologies (GSHP, WSHP, Solar Farms, Small and Large Wind, Small Hydro) are integrated into the Web GIS, from which users can export site reports.

Item Type: Publication - Conference Item (Paper)
NORA Subject Terms: Earth Sciences
Data and Information
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Date made live: 02 Aug 2018 08:45 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/520631

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