Abstract
There is a growing need to site new power generating plants that use cleaner energy sources due to increased regulations on air and water pollution and a sociopolitical desire to develop more clean energy sources. To assist utility and energy companies as well as policy-makers in evaluating potential areas for siting new plants in the contiguous United States, an adaptation of a geographic information system (GIS)-based multicriteria decision analysis approach is presented in this paper. The presented approach has led to the development of the Oak Ridge Siting Analysis for power Generation Expansion (OR-SAGE) tool. The tool takes inputs such as population growth, water availability, environmental indicators, and tectonic and geological hazards to provide an in-depth analysis for siting options. To the utility and energy companies, the tool can quickly and effectively provide feedback on land suitability based on technology specific inputs. However, the tool does not replace the required detailed evaluation of candidate sites. To the policy-makers, the tool provides the ability to analyze the impacts of future energy technology while balancing competing resource use.
Original language | English |
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Pages (from-to) | 292-301 |
Number of pages | 10 |
Journal | Applied Energy |
Volume | 96 |
DOIs | |
State | Published - Aug 2012 |
Funding
Litos Strategic Communication. The smart grid: an introduction. Prepared for the US department of energy by litos strategic communication under Contract No. DE-AC26-04NT41817, Subtask 560.01.04; 2008. This project is sponsored in parts by the Electric Power Research Institute (EPRI) and the US Department of Energy, Office of Nuclear Energy . This manuscript is authored by employees of UT-Battelle, LLC, under Contract DE-AC05-00OR22725 with the US Department of Energy. Accordingly, the United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.
Funders | Funder number |
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US Department of Energy | |
US Department of Energy | |
Office of Nuclear Energy | DE-AC05-00OR22725 |
Electric Power Research Institute |
Keywords
- Clean and low-carbon energy
- Energy generation
- Energy policy
- Geographic information system
- Multicriteria assessment
- Spatial analysis