Spatial planning for wind farms: perspectives of a coastal area in southern Brazil

Weiss, Carlos V.C.; Tagliani, Paulo Roberto Armanini; Espinoza, Jean Marcel Almeida; Lima, Lucas Terres de; Gandra, Tiago Borges Ribeiro

doi:10.1007/s10098-018-1494-6

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…With regard to the evaluation methods of the onshore optimal locations, and according to the specific literature, 70.6% of contributions included a combination of geospatial tools and multicriteria decision methods,-accounting for 24 works in total-. The most commonly used combination was GIS and MCDM methods, or several of them: AHP (Analytic Hierarchy Process), FAHP (Fuzzy Analytic Hierarchy Process), OWA (Ordered Weighted Average), TOPSIS, WLC (Weighted Liner Composition) [15,17,27,28,30,31,[34][35][36][39][40][41][42]44,45]. The combination of GIS and SMCA (Spatial Multicriteria Analysis), DSS (Decision Support System), SDSS (Spatial Decision Support Systems) and MCE (Multicriteria Evaluation) can be identified in seven contributions [16,18,19,21,29,32,37].…”

Section: Methodologies: Comparison and Statisticsmentioning

confidence: 99%

Categorization and Analysis of Relevant Factors for Optimal Locations in Onshore and Offshore Wind Power Plants: A Taxonomic Review

Gil-García

García-Cáscales

Fernández‐Guillamón

et al. 2019

JMSE

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Wind power is widely considered to be a qualified renewable, clean, ecological and inexhaustible resource that is becoming a leader in the current energy transition process. It is a mature technology solution that was quickly developed and has been massively integrated into power systems in recent years. Indeed, a remarkable number of renewable integration policies have been promoted by different governments and countries. With the aim of maximizing the power given by wind resources, the locations of both onshore and offshore wind power plants must be optimized following a sort of different criteria. Under this scenario, a number of factors and decision criteria in the evaluation and selection of locations can be identified. Moreover, the relevant wind power increasing in the power generation mix is addressed, along with a standardization of factors and decision criteria in the optimization and selection of such optimal locations. In this context, this paper describes a systematic review and meta-analysis combining most of the contributions and studies proposed during the last decade. Thus, our aim is focused on reviewing and categorizing all factors to be considered for optimal location estimation, pointing out the differences among the selected factors and the decision criteria for onshore and offshore wind power plants. In addition, our review also includes an analysis of the representative key indicators for the contributions, such as the annual frequency of publications, geographical classification, analysis by category, evaluation method and determining factors.

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Section: Methodologies: Comparison and Statisticsmentioning

confidence: 99%

Categorization and Analysis of Relevant Factors for Optimal Locations in Onshore and Offshore Wind Power Plants: A Taxonomic Review

Gil-García

García-Cáscales

Fernández‐Guillamón

et al. 2019

JMSE

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“…El promedio ponderado global del LCOE para la energía eólica marina en el 2018 fue de 0.126 USD/kWh, comparado con el 2010 resulta un decremento del 20 %. Factor Referencias % Velocidad del viento (F 1,1 ) [199,226,50,139,223,167,231,104,102,207,251,211,49,227,239,152,186,112,208,209,70,206,235,53,145,161,84,51,240,79,220,41] 94 [187,237,45,67,244,69,91,248,148,149,74,232,196,250,103,172,230,…”

Section: Transición Energéticaunclassified

“…Generación de energía (F 5,2 ) [199,226,167,104,211,251,49,70,240] 26 [67,69,91,248,148,196,212,113,217,216,210] 27 CAPEX (F 5,3 ) [199,104,211,251,70,161,203,220] 24 [67,69,91,248,148,196,250,172,175,176,193…”

mentioning

confidence: 99%

“…La categoría económica es analizada por el valor de la tierra, donde intervienen el uso de la tierra y distancias a limites territoriales y carreteras. Tabla 2.5: Referencias de factores de la categoría Socio-ambiental (C 3 ) 199,223,50,139,167,104,40,211,207,227,152,49,112,208,186,206,51,84,41,240,79,220]. [165, 187, 67, 69, 91, 148, 149, 74, 232, 103, 172, 230, 176, 147, 213, 212, 37, 171, 113, 217, 163, 94, 233, 142, 82, 100, 182,…”

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Integración del recurso eólico marino en los sectores del transporte y climatización: estudio de transición energética en la costa Este de EEUU

Gil¹,

Cristina²

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Western Balkans Green-Deal: Zero Emissions by 2050

Brkljača

Tabaković

Vranjkovina

et al. 2020

Advanced Technologies, Systems, and Applications V

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Spatial planning for wind farms: perspectives of a coastal area in southern Brazil

Cited by 9 publications

References 24 publications

Categorization and Analysis of Relevant Factors for Optimal Locations in Onshore and Offshore Wind Power Plants: A Taxonomic Review

Categorization and Analysis of Relevant Factors for Optimal Locations in Onshore and Offshore Wind Power Plants: A Taxonomic Review

Integración del recurso eólico marino en los sectores del transporte y climatización: estudio de transición energética en la costa Este de EEUU

Western Balkans Green-Deal: Zero Emissions by 2050

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