Location Study of Solar Thermal Power Plant in the State of Pernambuco Using Geoprocessing Technologies and Multiple-Criteria Analysis

According to International Energy Agency [4], this technology may provide 11% of worldwide demand for electricity in 2050, in a hi-Ren scenario (High Renewable Scenario), when renewable energy, solar and wind, would represent the main agents to reduce carbon dioxide emissions in the environment. 1.2...

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Veröffentlicht in:Energies (Basel) 2017-07, Vol.10 (7), p.1042
Hauptverfasser: Azevêdo, Verônica, Candeias, Ana, Tiba, Chigueru
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Sprache:eng
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Zusammenfassung:According to International Energy Agency [4], this technology may provide 11% of worldwide demand for electricity in 2050, in a hi-Ren scenario (High Renewable Scenario), when renewable energy, solar and wind, would represent the main agents to reduce carbon dioxide emissions in the environment. 1.2. [...]most of the optimal location for solar power station studies performed with association of GIS and AHP methods were applied for PV technology. For these regions, the greatest suitability is given in function of larger distances from this parameter, since it is intended to preserve this environment. [...]the fuzzy membership function used for normalization of this indicator was an increasing sigmoidal, with a control point defined at 10 km (arbitrated value), since the greater the distances between urban areas and the solar power plants are, the greater suitability the site will present. According to [29,30], when there are positive indicators and restrictions to be considered to determine the suitability of the sites, such as the in case of solar thermal power localization, WLC technique is given by Equation (3): I=∑i=1nwi xi×∏j=1kcj where I is the final value of the score; n is the number of positive indicators; wi is the weight of i positive indicator; xi is the standardized value of i positive indicator; k is the number of exclusion criteria and cj is the score (0 or 1) of the exclusion criteria. 4.3.5.
ISSN:1996-1073
1996-1073
DOI:10.3390/en10071042