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Spatial Mapping of Jamaica’s High-Resolution Wind Atlas: An Environmental-Sociotechnical Account

Author

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  • Delmaria Richards

    (Graduate School of Science, Technology, Information Sciences, Tsukuba University, 1-1-1, Tennodai, Tsukuba City 305-8577, Japan)

  • Helmut Yabar

    (Graduate School of Life and Environmental Sciences, Tsukuba University, 1-1-1, Tennodai, Tsukuba City 305-8577, Japan)

  • Takeshi Mizunoya

    (Graduate School of Life and Environmental Sciences, Tsukuba University, 1-1-1, Tennodai, Tsukuba City 305-8577, Japan)

Abstract

To utilize wind energy, how it works, its value, and where the best locations are for extrapolation must be understood. A high-resolution wind atlas of Jamaica aids the understanding of the sociophysical phenomena leading to a better understanding of wind energy on the island. This study incorporates a mesoscale method with eight years of relevant data in ArcGIS 10.8.1 to derive then indicate sites for potential onshore wind power plants (WPP). It uses secondary and real-time data from domestic and international sources to evaluate economic, environmental, and sociotechnical criteria. The results indicate a high possibility for future wind power (WP) generation expansion since 2867.15 km 2 , 26% of the land is available. With the installation of Vestas V80 turbines, 62,818.71 GWh/year can be generated. Conversely, Vestas V112 turbine installation can produce 56,321.74 GWh/year of electrical energy. The average speed goes up to 12.5 miles per hour, while the power density of the 10% windiest areas is between 156.60 and 768.37 W/m 2 at 50 m above ground, with several parishes having appropriate locations for WPPs. Thus, 29-point sites are identified in the study. However, St. Elizabeth and Manchester are most favorable, with mean wind speeds of 8.26 m/s and 10.08 m/s, respectively, in the excellently suitable zones. The research offers several advantages, which encompass the quantification of wind potential with and without prohibition, assessment of wind suitability on the island of Jamaica, reduction in environmental damage, and available data amelioration to aid better energy policy decisions, which will ensure a faster and easier transition from fossil fuel (FF) to renewable energy (RE) to meet Jamaica’s 2030 50% RE generation target. Specifically, the atlases will assist policymakers and WP developers in making informed decisions by reducing costs, time, and ambiguities to enhance the development of renewable energy use for electrical energy in Jamaica. The Geographical Information System (GIS), which is one of the most popular energy assessment tools, was utilized to derive suitable land zones of 24.41 to 26% for onshore wind farm development in Jamaica. It incorporates environmental, economic, social, safety, and technical criteria with underlining categorical variables as indicators to derive the quantitative values appropriate for Jamaica’s landscape and comparable to international studies with similar objectives. It found that unrestricted areas can theoretically generate up to 62,818 GWh per year of electrical energy.

Suggested Citation

  • Delmaria Richards & Helmut Yabar & Takeshi Mizunoya, 2022. "Spatial Mapping of Jamaica’s High-Resolution Wind Atlas: An Environmental-Sociotechnical Account," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:11933-:d:921471
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    References listed on IDEAS

    as
    1. Delmaria Richards & Helmut Yabar, 2022. "Potential of Renewable Energy in Jamaica’s Power Sector: Feasibility Analysis of Biogas Production for Electricity Generation," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    2. Siyal, Shahid Hussain & Mörtberg, Ulla & Mentis, Dimitris & Welsch, Manuel & Babelon, Ian & Howells, Mark, 2015. "Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach," Energy, Elsevier, vol. 83(C), pages 447-461.
    3. Enevoldsen, Peter, 2018. "A socio-technical framework for examining the consequences of deforestation: A case study of wind project development in Northern Europe," Energy Policy, Elsevier, vol. 115(C), pages 138-147.
    4. Chen, A.A. & Stephens, A.J. & Koon Koon, R. & Ashtine, M. & Mohammed-Koon Koon, K, 2020. "Pathways to climate change mitigation and stable energy by 100% renewable for a small island: Jamaica as an example," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    5. Rodman, Laura C. & Meentemeyer, Ross K., 2006. "A geographic analysis of wind turbine placement in Northern California," Energy Policy, Elsevier, vol. 34(15), pages 2137-2149, October.
    6. Wright, Raymond M, 2001. "Wind energy development in the Caribbean," Renewable Energy, Elsevier, vol. 24(3), pages 439-444.
    7. Costoya, X. & deCastro, M. & Santos, F. & Sousa, M.C. & Gómez-Gesteira, M., 2019. "Projections of wind energy resources in the Caribbean for the 21st century," Energy, Elsevier, vol. 178(C), pages 356-367.
    8. Cevallos-Sierra, Jaime & Ramos-Martin, Jesús, 2018. "Spatial assessment of the potential of renewable energy: The case of Ecuador," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1154-1165.
    9. Xu, Jiuping & Liu, Tingting, 2020. "Technological paradigm-based approaches towards challenges and policy shifts for sustainable wind energy development," Energy Policy, Elsevier, vol. 142(C).
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