2026-04-27T19:52:43Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/678012025-09-11T10:44:18Zcom_10324_1166com_10324_931com_10324_894col_10324_1338
UVaDOC
author
Castro, Adalberto Ospino
author
Robles-Algarín, Carlos
author
Hernández Callejo, Luis
author
Muñoz Maldonado, Yecid
author
Mangones Cordero, Amanda
2024-05-24T08:45:50Z
2024-05-24T08:45:50Z
2023
Sustainability 2023, 15(24), 16620
https://uvadoc.uva.es/handle/10324/67801
10.3390/su152416620
16620
24
Sustainability
15
2071-1050
Planning for offshore wind energy projects is intricate due to the consideration of multiple variables in identifying optimal project areas. The primary challenge lies in locating suitable sites, a process that often necessitates extensive feasibility studies spanning several years. The primary goal of this study is to apply the Fuzzy Analytic Hierarchy Process (FAHP) to prioritize criteria and sub-criteria, facilitating decision-making in choosing appropriate locations for offshore wind projects in the Colombian Caribbean Sea. The weights derived from FAHP were utilized in a Geographic Information System (GIS) to analyze the physical characteristics of the Caribbean Sea’s surface. This tool plays a critical role in evaluating and selecting sites that fulfill established criteria, providing a database of indicators and map visualizations. Four criteria were defined: technical, environmental, social, and economic, along with fourteen sub-criteria, which were prioritized through FAHP based on expert judgment. The results revealed that the most relevant sub-criteria were protected areas and wind speed. Utilizing the ArcGIS Pro software, five zones meeting the predetermined criteria were identified, defining the most feasible areas for offshore wind farm installation, located in the departments of Guajira, Magdalena, Atlántico and Bolívar. The GIS–FAHP methods proved to be useful for feasibility analysis.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Feasibility Analysis of Offshore Wind Power Projects in the Caribbean Region of Colombia: A Case Study Using FAHP–GIS
info:eu-repo/semantics/article
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IApwb3IgaW5jdW1wbGltaWVudG8gZGUgY3VhbHF1aWVyYSBkZSBsYXMgb2JsaWdhY2lvbmVzIGRlcml2YWRhcyBkZWwgQWN1ZXJkbywgcG9yIHZvbHVudGFkIGV4cHJlc2EgZGVsIEF1dG9yCkVuICBwcnVlYmEgZGUgY29uZm9ybWlkYWQsIGxhcyBwYXJ0ZXMgYWNlcHRhbiBlbCBwcmVzZW50ZSBBY3VlcmRvCgoKCgo=
URL
https://uvadoc.uva.es/bitstream/10324/67801/1/sustainability-15-16620%20%281%29.pdf
File
MD5
dc03129b5ab585e8739e22889cecc6f2
8549494
application/pdf
sustainability-15-16620 (1).pdf