Outlook for Offshore Wind Energy Development in Mexico from WRF Simulations and CMIP6 Projections

Author:

Meza-Carreto Jaime1,Romero-Centeno Rosario2ORCID,Figueroa-Espinoza Bernardo3ORCID,Moreles Efraín4ORCID,López-Villalobos Carlos5ORCID

Affiliation:

1. Programa de Posgrado en Ciencias de la Tierra, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City 04510, Mexico

2. Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City 04510, Mexico

3. Laboratorio de Ingeniería y Procesos Costeros, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Puerto de Abrigo s/n, Sisal 97355, Mexico

4. Unidad Académica Procesos Oceánicos y Costeros, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City 04510, Mexico

5. Instituto de Energías Renovables, Universidad Nacional Autónoma de México, Xochicalco s/n, Temixco 62580, Mexico

Abstract

This study presents a comprehensive assessment of the offshore wind energy potential in Mexico across 40 years (1979–2018) of numerical simulations using the Weather Research and Forecasting (WRF) model and data from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The WRF identifies three regions with moderate to good wind potential: off the north coast of Tamaulipas (Zone I), the northwest coast of Yucatan (Zone II), and the Gulf of Tehuantepec (Zone III). The analysis involves comparing 47 CMIP6 climate models with the WRF results and selecting the best performing models to obtain future projections for the short term (2040–2069) and the long term (2070–2099). Two ensemble-based strategies were implemented. The first one, which uses an intersection approach from which four CMIP6 models were considered, reveals positive percentage differences in Zone II for both future projections, especially for the long-term one. In Zones I and III, positive values are also observed near the coast, mainly for the long-term projection, but they are considerably lower compared to those in Zone II. The second ensemble strategy uses weight assignment through the Mean Absolute Percentage Error, so that a greater weight is given to the model that performed better in each particular zone, potentially providing more accurate results. The findings suggest the likelihood of increased offshore wind energy in these three zones of Mexico, for both short- and long-term future projections, with positive percentage differences of up to 10% in certain areas.

Funder

Programa Nacional de Posgrados de Calidad of the Consejo Nacional de Ciencia y Tecnología of Mexico

Universidad Nacional Autónoma de México

Publisher

MDPI AG

Reference73 articles.

1. Department of Energy (2023, September 07). How Wind Can Help Us Breathe Easier. Energy.gov, Available online: https://www.energy.gov/eere/wind/articles/how-wind-can-help-us-breathe-easier.

2. Geophysical limits to global wind power;Marvel;Nat. Clim. Chang.,2013

3. Bailey, H., Brookes, K.L., and Thompson, P.M. (2014). Assessing environmental impacts of offshore wind farms: Lessons learned and recommendations for the future. Aquat. Biosyst., 10.

4. Wind energy development and its environmental impact: A review;Leung;Renew. Sustain. Energy Rev.,2012

5. Ellis, G., and Ferraro, G. (2016). The Social Acceptance of Wind Energy, Technical Report. JRC Science for Policy Report.

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