Data set on wind speed, wind direction and wind probability distributions in Puerto Bolivar - Colombia

Abstract

This paper presents wind speed and direction data measured with a weather station located in Puerto Bolivar, department of La Guajira, situated in the extreme north of Colombia, whose geographic coordinates are 12°11′N 71°55′W. A wind speed and direction sensor, a barometric pressure sensor, and a temperature sensor were used to obtain the presented data. These data were taken at the height of 10 m, which is the highest point of the weather station. The data taken by the meteorological station correspond to a period of 20 years (1993–2013), with hourly frequency. For the missing data, a mathematical model to estimate the Julian averages was developed, allowing to calculate the frequency histograms and four types of probability distributions for these data. Also, the representative wind roses were generated, taking into account the averages in each of the 12 months of the year.

Wind Speed Distributions Used in Wind Energy Assessment: A Review

“…Rayleigh distribution is used to model wind speed and evaluate the standard performance of wind turbines (Saleh et al, 2012;Valencia Ochoa et al, 2019). Compared with the Weibull distribution, because the Rayleigh distribution contains only one parameter, it is more convenient to use, and its parameters are easier to estimate.…”

Economic and Exergo-Advance Analysis of a Waste Heat Recovery System Based on Regenerative Organic Rankine Cycle under Organic Fluids with Low Global Warming Potential

“…By adopting a tax incentive law, ORC-based waste gas recovery technology operating with high investment costs will present the greatest reduction in the level of energy costs [40], since it has a higher specific cost. In the case of Colombia, the generation with renewable energy [41,42], and acquisition and installation of this solution in an industrial context with acetone could achieve a reduction of approximately 12%, when considering tax incentives with asset depreciation at 10 years, financing of 50% of the initial investment costs (IFCI+DFCI), and a grace period of 5 years [5,22]. Therefore, solutions with organic fluids that imply high investment costs should not be discarded in case they deliver an important energy potential, and it is suggested to carry out a thermo-economic analysis with indicators that support the decision-making process.…”

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“…Durante el diseño de un sistema de control deben analizarse las posibles ventajas y desventajas del escenario de implementación del sistema [21]- [23], por lo que se requiere una validación práctica de los nuevos diseños y simulaciones [24]- [29].…”