Artículos

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.

This study aims to improve our knowledge concerning the air quality by analysing carbon dioxide (CO2) emissions emanating from motor vehicles. The vehicle fleet was characterized by means of surveys, vehicular seating capacity, and collection of information from both public and private entities.

Accurate and reliable prediction of wind energy in the short term is of great importance for the efficient operation of wind farms. One of the procedures to search for, summarize, organize and synthesize existing information is a systematic literature review. In this article, we present a systematic literature review on the predictive models of wind energy, aiming to establish the baseline for the development of a short-term wind energy prediction model that employs artificial intelligence tools to be applied in the Villonaco Wind Power Plant.

El estudio de guías para el cambio de luminarias de vapor de sodio por vapor de mercurio y en el futuro mediato luminarias LED por luminarias de vapor de sodio

The World Wind Energy Association (WWEA) forecasts that installed wind capacity worldwide will reach 800 GW by the end of 2021. Because wind is a random resource, both in speed and direction, the short-term forecasting of wind energy has become an important issue to be investigated.

Wind energy is a non-programmable form of generation, hence, accurate and reliable wind energy prediction is of great importance for the efficient operation of wind farms. This article presents a study for the prediction of active power for the Villonaco Wind Farm (VWF), located in southern Ecuador at approximately 2700 m above sea level.

Operation and maintenance (O&M) activities represent a significant share of the total expenditure of a wind farm. Of these expenses, costs associated with unexpected failures account for the highest percentage. Therefore, it is clear that early detection of wind turbine (WT) failures, which can be achieved through appropriate condition monitoring (CM), is critical to reduce O&M costs.

Ecuador's energy mix has greatly reduced its dependency on fossil fuels the last 15 years, down to a marginal role (5%) in electricity generation in 2017. The development plan for the Ecuadorian power network aims to keep adding hydropower to meet the increasing demand. A prospective lifecycle assessment (LCA) of the future power network (2012–2050) can determine the feasibility of the development plan and its environmental sustainability in the long run.

The Villonaco Wind Farm is located between coordinates 693030 E 9558392 N and 693526 E 9556476 N in the province of Loja in southern Ecuador. It is the first wind farm in continental Ecuador, with a capacity of 16.5 MW and a location of roughly 2720 m above sea level in rugged terrain, which is especially relevant compared to others wind farms in the global context. This paper presents a statistical analysis of the Annual Energy Production of the Villonaco Wind Farm in the period from 2014 to 2018.