Artículos

The frequency-domain analysis of the performance of a wind turbine that is placed in a mountainous complex terrain is presented. The variables of interest were the wind speed and the active power of the wind turbine, and the experimental data for the analysis were collected for three months with a sampling time of 10 minutes.

This paper describes a complex terrain wind farm case study in the Ecuadorian Andes. The Windfarm Villonaco is located in southern Ecuador, 640km of Quito, 2700 m a.s.l. with 16.5 MW power output. The objective is to compare actual power production from an existing wind farm with power production predicted by Meteodyn WT, which is a CFD tool based on a nonlinear flow model. The results of this work show that the calculation of the annual energy production of the Villonaco Wind Farm using Meteodyn WT is equal to 69.0 GWh / year, with a capacity factor of 53%.

In this paper, a method of verification of the power performance of a wind farm is presented. This method is based on the Friedman’s test, which is a nonparametric statistical inference technique, and it uses the information that is collected by the SCADA system from the sensors embedded in the wind turbines in order to carry out the power performance verification of a wind farm.

In this letter, nonparametric statistical inference is applied to designing a simple, inexpensive method of verifying the power performance of a wind turbine. The proposed method uses the data collected by the Supervisory Control and Data Acquisition (SCADA) system and the guaranteed power curve of the turbine, and it says whether the power performance of a wind turbine differed significantly from what would be expected.

El presente trabajo tiene como objetivo materializar y evaluar el rendimiento de un nuevo prototipo de cocina solar.

Having an accurate model of the power curve of a wind turbine allows us to better monitor its operation and planning of storage capacity. Since wind speed and direction is of a highly stochastic nature, the forecasting of the power generated by the wind turbine is of the same nature as well. In this paper, a method for obtaining a robust confidence band containing the power curve of a wind turbine under test conditions is presented. Here, the confidence band is bound by two curves which are estimated using parametric statistical inference techniques.

El presente trabajo se realiza dentro del marco del proyecto “Evaluación de la contaminación atmosférica por fuentes de combustión en la ciudad de Loja y su mitigación con energías renovables” y tiene como objeto mostrar el criterio de selección de los puntos de medición para el monitoreo de gases procedentes de fuentes puntuales continuas, teniendo como antecedentes los resultados de las encuestas del trabajo de Rojas [1], y la modelación realizada utilizando el método de Gradiente K del Dr. M. E. Berlyand [2] modificado por Álvarez O. [3].

El objetivo del presente trabajo está relacionado con el proyecto de investigación “Evaluación de la contaminación atmosférica por fuentes de combustión en la ciudad de Loja y su mitigación con energías renovables”, que se desarrolla en la UNL y específicamente con la caracterización de las emisiones gaseosas y material particulado de las fuentes de contaminación atmosférica por combustión de fuentes móviles y fijas en la ciudad de Loja.

Reducing solar infrastructure costs is one of the main reasons for its global growth. In Ecuador adjustments to the legal framework have to be made to encourage the installation of small photovoltaic solar structures for electricity customers connected to low voltage distribution networks for their personal consumption, and any surplus energy be injected into the grid.

Due to its zero-marginal-cost, the high penetration of renewable energy sources in the electricity markets threatens incumbents’ business models who are gradually shifting towards fixed power charges instead of the traditional energy charges. The purpose of this study is to assess the impacts of these fixed power charges on the economics of PV systems under self-consumption schemes. Using real demand and generation data, simulations include detailed computation of annual billing savings, payback-time, self-consumption and self-sufficiency of a dwelling coupled with PV-battery system.