Multi-criteria assessment of potential regions for wind power generation in the State of Rio de Janeiro

Abstract

<jats:p>Abstract: Due to the current climatic conditions and concerns about the energy generation by renewable sources, wind energy becomes an alternative to meet the existing energy demand. This paper aims to analyze the most promising regions of the State of Rio de Janeiro for the implementation of wind farms for electricity generation. As an analysis tool, we intend to use the Analytic Hierarchy Process (AHP), due to its practicality, to assist in the state’s wind power atlas regions evaluation, identifying generating farms installation feasibility based on logistical, technical and economic aspects. Three suitable regions for wind farms installation were evaluated according to the following criteria: potencial for generation, land cost, interconnection cost to the grid, implementing zones e terrain-landform logistics. It was found that, for the Serrana Region, it is indicated the installation of a wind farm that operates at 50 meters in height, because it only has enough potential for equipment with this height. In the Lakes Region, it is appropriate to use wind turbines of 75 meters in height, highlighting it as the most promising for this equipment height, besides having the best logistics capacity of the three regions. Because it has a greater potential area than the other, the North Region provides a greater total production, also taking into account its greater efficiency in the aerogenerators to 100 meters of height, considering this region as the most appropriate. It is worth highlighting that, in this region, there is potential for installation in all the heights presented, scrutinizing the results obtained.</jats:p>

Determining regions for installing flex-biomass sugar-ethanol plants: a multicriteria approach for location

“…The prominent role of logistics as a localization criterion was also presented by Gonçalves et al (2020). They used AHP to determine the most promising regions of the State of Rio de Janeiro for the implementation of wind farms for electricity generation.…”

“…Freitas et al (2009) and Oliveira & Martins (2015). The Consistency Ratio was below the limit value of 0.10 used in different AHP applications (Chen et al, 2010;Souza et al, 2020;Gonçalves et al, 2020). The layers combination was done through the weighted sum of the criteria (Equation 1).…”

“…Attractive and repulsive factors of the region (Schettini & Azzoni, 2013;Sharma et al, 2017;Souza et al, 2020), elements such as time and space (Barquette, 2002), cost and quality (Rosa et al, 2015), accessibility to transport (Durmuş & Turk, 2014), land rent (Verhetsel et al, 2015) and the triple bottom line (Kheybari et al, 2019) can also be considered in these analyses. In this sense, the Analytic Hierarchy Process (AHP) proposed by Saaty (1990) can support to address spatial components in a Geographic Information System (GIS), allowing the definition of appropriate geographic locations (Alves & Alves, 2015;Al Garni & Awasthi, 2017).This combination (AHP+GIS) enables the manipulation of spatially distributed large data volumes (Furlanetto et al, 2020), simplifying the decision-making process (Gonçalves et al, 2020) and generating a tool to support planning (Rosa et al, 2015;Valladares et al, 2012).…”