%0 Journal Article 
%A Gil García, Isabel Cristina
%A García Cascales, María Socorro
%A Fernández Guillamón, Ana
%A Molina García, Ángel
%T Categorization and Analysis of Relevant Factors for Optimal Locations in Onshore and Offshore Wind Power Plants: A Taxonomic Review
%D 2019
%@ 2077-1312
%U http://hdl.handle.net/10317/9383
%X 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.
%K Proyectos de Ingeniería
%K Tecnología Electrónica
%K Tecnologías del Medio Ambiente
%K Wind energy
%K Optimal selection factors
%K Onshore-offshore wind power plant
%K 2510 Oceanografía
%~ GOEDOC, SUB GOETTINGEN