Evaluating Wind Energy Potential in the Negros Island Region: Regional Analysis and Feasibility Assessment
Keywords:
Wind energy potential, wind speed analysis, coastal wind characteristics, small-scale wind energy, Negros Island RegionAbstract
This study evaluated the wind energy potential of selected coastal and inland locations in the Negros Island Region using quantitative analysis of wind speed data. The research aimed to assess wind characteristics by computing the mean wind speed, wind speed range, and wind speed frequency percentage for each selected site. Wind speed values from locations including Tanjay City, Dumaguete City, San Carlos City, Bayawan City, Bacolod City, and Escalante City were analyzed to compare wind behavior across different geographic settings. Results revealed that coastal locations, particularly Bacolod City and Dumaguete City, exhibited higher and more stable mean wind speeds compared to inland and partially sheltered areas. Wind speed variability across all sites was generally low to moderate, indicating relatively consistent wind conditions, while frequency analysis showed recurring wind speeds that suggest predictability is important for energy planning. Although the observed wind speeds may not be sufficient for large-scale wind farm development, the findings indicate that small-scale or community-based wind energy systems are feasible in certain coastal areas. The study highlights the influence of geographic factors such as coastal exposure, terrain, and proximity to open seas on wind behavior and provides baseline information to support future renewable energy planning and research in the Negros Island Region.
References
Asian Development Bank. (2019). Philippines: Renewable energy development.
A roadmap for offshore wind in the Philippines. (2022, April 25). World Bank. https://www.worldbank.org/en/news/infographic/2022/04/25/a-roadmap-for-offshore-wind-in-the-philippines#:~:text=The%20Philippines%20has%20immense%20offshore,IFC%20Offshore%20Wind%20Development%20Program.
Climate Change 2022: Mitigation of climate change. (n.d.). IPCC.
https://www.ipcc.ch/report/ar6/wg3/
Department of Energy. (2022). Philippine energy plan 2020–2040. Government of the Philippines. https://www.doe.gov.ph.
Department of Energy. (2022). Renewable energy resource assessment and policies in the Philippines.
Department of Energy. (2023). Status of wind energy development in the Philippines. Government of the Philippines. https://www.doe.gov.ph
Frontiers in Energy Research. (2024). Wind speed distributions and wind energy assessment: A review. Frontiers Media.
Global Wind Report 2022. (n.d).
https://www.gwec.net/reports/globalwindreport/2022
Global Wind Report 2023. (n.d).
https://www.gwec.net/reports/globalwindreport/2023
Intergovernmental Panel on Climate Change. (2022). AR6 working group III: Mitigation of climate change. https://www.ipcc.ch/report/ar6/wg3/
International Renewable Energy Agency. (2021). Renewable energy for island and off-grid systems. https://www.irena.org
International Energy Agency. (2023). World energy outlook 2023.
Li, X., Chen, Y., Li, K., Gao, S., & Cui, Y. (2025). The optimal wind speed product selection for wind energy assessment under multi-factor constraints. Cleaner Engineering and Technology, 24, 100883. https://doi.org/10.1016/j.clet.2025.100883
Off-grid Renewable Energy Statistics 2021. (2021, December 1).
https://www.irena.org/Publications/2021/Dec/Off-grid-renewable-energy-statistics-2021
Renewable Energy Statistics 2023. (2023). In International Renewable Energy Agency. https://www.irena.org/Publications/2023/Jul/Renewable-energy-statistics-2023
Renewable power generation costs in 2023. (2024). In International Renewable Energy Agency.
https://www.irena.org/Publications/2024/Sep/Renewable-Power-Generation-Costs-in-2023
Philippine Atmospheric, Geophysical and Astronomical Services Administration. (2021). Climate information and wind data for the Philippines.
https://www.pagasa.dost.gov.ph
Philippine Atmospheric, Geophysical and Astronomical Services Administration. (2022). Philippine climate and wind systems. |
https://www.pagasa.dost.gov.ph
Philippine Atmospheric, Geophysical and Astronomical Services Administration. (2024). Annual climate and wind monitoring report.
https://www.pagasa.dost.gov.ph
Multi-criteria assessment of potential regions for wind power generation in the state of Rio de Janeiro. (n.d.). https://www.scielo.br/j/gp/a/jWXrrGKbbn3L4tmXBVYwdVq/?lang=en
Wind Speed Frequency Distribution Modeling and wind energy Resource Assessment based on Polynomial Regression Model. International Journal of Electrical Power & Energy Systems. (n.d.). International Journal of Electrical Power & Energy Systems, 130.
https://doi.org/10.1016/j.ijepes.2021.106964
Wind Resource Energy Assessment. (n.d.). In National Renewable Energy Laboratory.
World Bank. (2020). Global wind atlas.
World Bank. (2020). Philippines renewable energy development and policy assessment. World Bank Group. https://www.worldbank.org
World Bank. (2023). Offshore and coastal wind energy development.
World Energy Outlook 2023. (2023). In International Energy Agency.
https://www.iea.org/reports/world-energy-outlook-2023
World Wind Energy Association. (2021). Wind energy international market update.
Wang, Z., Liu, W. Wind energy potential assessment based on wind speed, its direction and power data. Sci Rep 11, 16879 (2021).
https://doi.org/10.1038/s41598-021-96376-7
Yu, G., Shen, L., Dong, Q., Cui, G., Wang, S., Xin, D., Chen, X., & Lu, W. (2024). Ultra-short-term wind power forecasting techniques: comparative analysis and future trends. Frontiers in Energy Research, 11. https://doi.org/10.3389/fenrg.2023.1345004
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Copyright (c) 2026 Matthew Sean S. Teves, Jude Martin S. Tag-at, Ilter Franz G. Caminos (Author)

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