CARACTERIZACIÓN DE RECURSO EÓLICO EN UN ENTORNO URBANO CON ALTA TURBULENCIA (WIND RESOURCE CHARACTERIZATION IN A HIGH TURBULENCE ENVIRONMENT)
Resumen
Este trabajo presenta una metodología para caracterizar el recurso eólico en zonas con distinta densidad urbana analizando: patrón promedio diario, intensidad de turbulencia, probabilidades de velocidades de viento y rosa de los vientos. Se emplearon un anemómetro fijo, una torre meteorológica y un sistema SODAR (Sonic Detection and Ranging) en dos zonas de medición: “urbana” y “despejada”. En ambas zonas, las velocidades predominantes se ubicaron entre 1 m⁄s y 4 m⁄s a bajas alturas, alcanzando hasta 7 m⁄s en alturas mayores. La zona despejada presentó menor turbulencia y un flujo más constante de viento; mientras que la zona urbana reprodujo condiciones típicas de áreas densamente edificadas. Los resultados indican que el recurso eólico en la zona seleccionada comparte características con una zona urbana estándar, por lo que puede considerarse como referencia para futuras investigaciones y proyectos de aerogeneradores de microescala o de baja potencia en entornos urbanos.
Palabras Clave: Patrón promedio diario, recurso eólico, turbulencia.
Abstract
This paper presents a methodology for characterizing the wind resource in areas with varying urban densities by analyzing average daily wind patterns, turbulence intensity, wind speed probabilities, and wind roses. A fixed anemometer, a meteorological tower, and a SODAR (Sonic Detection and Ranging) system were used in two measurement zones: "urban" and "clear." In both zones, the prevailing wind speeds ranged between 1 m⁄s and 4 m⁄s at low altitudes, reaching up to 7 m⁄s at higher altitudes. The uncovered zone presented less turbulence and a more constant wind flow, while the urban zone reproduced conditions typical of densely built-up areas. The results indicate that the wind resource in the selected zone shares characteristics with a standard urban area and can therefore be considered a reference for future research and micro-scale or low-power wind turbine projects in urban environments.
Keywords: Daily average pattern, turbulence, wind resource.
Texto completo:
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Bureau of Ocean Energy Management (BOEM), Metocean Characterization Recommended Practices for U.S. Offshore Wind Energy. OCS Renewable Energy. California: DNV KEMA Renewables, Inc (DNV GL), 2018.
Buzdugan, L., & Stefan, S., A comparative study of Sodar, Lidar wind measurements and aircraft derived wind observations. Romanian Journal of Physics, vol. 65, no. 810, pp. 1-15, 2019.
Clemente, R., (2020). Recurso eólico urbano en Mérida Yucatán, potencial disponible y propuestas para su aprovechamiento. Tesis de Maestría en Ingeniería, Universidad Autónoma de Yucatán. Tesis obtenida de: http://redi.uady.mx:8080/handle/123456789/4285.
De Ávila, A., Pérez, D., & Jiménez, J., Análisis del potencial eólico a través de la función de distribución de Weibull y Rosa de los vientos. Latin American Developments in Energy Engineering, no. 1, vol. 3, pp. 40-46, 2021.
Fields, J., Oteri, F., Preus, R., & Baring-Gould, I., (2016). Deployment of Wind Turbines in the Built Environment: Risks, Lessons, and Recommended Practices. National Renewable Energy Laboratory. Obtenido de: https://docs.nrel.gov/docs/fy16osti/65622.pdf.
Kaplan, Y., Determination of the best Weibull methods for wind power assessment in the southern region of Turkey. IET Renewable Power Generation, no. 1, vol. 11, pp. 175-182, 2017.
Anup, K.C., Whale, J., & Urmee, T., Urban wind conditions and small wind turbines in the built environment: A review. Renewable Energy, vol. 131, pp. 268–283, 2019.
MEASNET, (2016). Measuring Network of Wind Energy Institutes. Evaluation of site-specific wind conditions: Procedure V2.0 [Guía técnica]. Obtenido de: https://www.measnet.com/wp-content/uploads/2016/05/Measnet_SiteAssessment_V2.0.pdf
Suomi, I., Vihma, T., Wind Gust Measurement Techniques—From Traditional Anemometry to New Possibilities. Sensors, no. 4, vol 18, pp. 1-27, 2018.
Rezaeiha, A., Montazeri, H., & Blocken, B., A framework for preliminary large-scale urban wind energy potential assessment: Roof-mounted wind turbines. Energy Conversion and Management, vol. 214, pp. 1-16, 2020.
SCINTEC, (2020). FAS Series Sodar Wind Profilers. Obtenido de: https://www.scintec.com/catalogs/sodar-wind-profilers.
Tasneem, Z., Al Noman A., Das, S. K., Saha, D., Islam, R., Ali, F., Badal, F. R., Ahamed, H., Moyeen S. I., & Alam, F., An analytical review on the evaluation of wind resource and wind turbine for urban application: prospect and challenges. Developments in the Built Environment. vol. 4, pp. 1-15, 2020.
Tummala, A., Velamati, R., Sinha, D., & Indraja, V., A review on small scale wind turbines. Renewable and Sustainable Energy Reviews, vol 56, pp. 1351-1371, 2015.
Yang, A., Su, Y., Wenc, C., Juan, Y., Wanga, W., & Cheng, C., Estimation of wind power generation in dense urban area. Applied Energy, vol. 171, pp. 213–230, 2016.
Zhou, S., Yang, Y., Gao, Z., Xi, X., Duan, Z., & Li, Y., Estimating vertical wind power density using tower observation and empirical models over varied desert steppe terrain in northern China. Atmospheric Measurement Techniques, no. 3, vol. 15, pp. 757–773, 2022.
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