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wind power potential over northern South America using ERA5-Land global reanalysis

Clean Energy 2024年第2期8卷 104-112页

作者： Heli A.Arregocés Guillermo J.Bonivento Roberto Rojano Grupo de Investigación GISA Facultad de IngenieríaUniversidad de La GuajiraRiohachaColombia Grupo Procesos Fisicoquímicos Aplicados Facultad de IngenieríaUniversidad de Antioquia SIU/UdeACalle 70 No.52-21MedellínColombia

The northernmost region of South America has great potential for wind energy production and is a strategic area for the energy tran*** analysed data from ERA5-Land global reanalysis from 1980 to 2020 to determine the wind power potential in this *** aim was to identify areas with a high potential for wind energy that could be used to supply energy in case of drought in the region or increases in fuel *** compared data from 19 meteorological stations located in Colombia with ERA5-Land reanalysis data to generate reliable information for the feasibility and operation of wind *** to our analysis,the Colombian Caribbean and Coastal Plain have monthly average wind speeds at 90 m ranging from 4.85 to 10.34 m/s and 3.79 to 6.62 m/s,*** on wind power density calculations,these regions have the highest wind power density in our study,with a monthly average of between 250 and 399 W/m^(2).The Caribbean Region had a 69%increase in wind power density from January to July compared with the annual *** wind power density in the plains increased from January to March,while the Mountain Region had higher anomalies from May to *** Alta Guajira and ParaguanáPeninsula have great potential to generate wind energy due to their privileged geographical *** ERA5 offers valuable information about wind availability in time and space,it cannot represent the influence of local effects on wind patterns for the Mountain Region.

关键词： onshore wind power wind power potential ERA5-Land global reanalysis wind speed

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wind power potential in Interior Alaska from a Micrometeorological Perspective

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Atmospheric and Climate Sciences 2014年第1期4卷 100-121页

作者： Hannah K.Ross John Cooney Megan Hinzman Samuel Smock Gary Sellhorst Ralph Dlugi Nicole Molders Gerhard Kramm Department of Mechanical Engineering Tennessee Tech UniversityCookevilleUSA Department of Atmospheric Sciences College of GeosciencesTexas A&M UniversityCollege StationUSA College of Arts and Sciences University of WashingtonSeattleUSA Fu Foundation School of Engineering and Applied Science Columbia UniversityNew YorkUSA Geophysical Institute University of Alaska FairbanksFairbanksUSA Arbeitgruppe Atmospharische Prozesse(AGAP) MunichGermany Department of Atmospheric Sciences College of Natural Science and MathematicsUniversity of Alaska FairbanksFairbanksUSA

The wind power potential in Interior Alaska is evaluated from a micrometeorological perspective. Based on the local balance equation of momentum and the equation of continuity we derive the local balance equation of kinetic energy for macroscopic and turbulent systems, and in a further step, Bernoulli’s equation and integral equations that customarily serve as the key equations in momentum theory and blade-element analysis, where the Lanchester-Betz-Joukowsky limit, Glauert’s optimum actuator disk, and the results of the blade-element analysis by Okulov and Sorensen are exemplarily illustrated. The wind power potential at three different sites in Interior Alaska (Delta Junction, Eva Creek, and Poker Flat) is assessed by considering the results of wind field predictions for the winter period from October 1, 2008, to April 1, 2009 provided by the Weather Research and Forecasting (WRF) model to avoid time-consuming and expensive tall-tower observations in Interior Alaska which is characterized by a relatively low degree of infrastructure outside of the city of Fairbanks. To predict the average power output we use the Weibull distributions derived from the predicted wind fields for these three different sites and the power curves of five different propeller-type wind turbines with rated powers ranging from 2 MW to 2.5 MW. These power curves are represented by general logistic functions. The predicted power capacity for the Eva Creek site is compared with that of the Eva Creek wind farm established in 2012. The results of our predictions for the winter period 2008/2009 are nearly 20 percent lower than those of the Eva Creek wind farm for the period from January to September 2013.

关键词： wind power power Efficiency wind power potential wind power Prediction WRF/Chem Micrometeorology Momentum Theory Blade Element Analysis Betz Limit Glauert’s Optimum Rotor Balance Equation for Momentum Equation of Continuity Balance Equation for Kinetic Energy Reynolds’Average Hesselberg’s Average Bernoulli’s Equation Integral Equations Weibull Distribution General Logistic Function Eva Creek wind Farm

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