2020

Urban concentration, non-renewable energy consumption, and output: do levels of economic development matter?  Environmental Science and Pollution Research

Greenhouse gas emissions, non-renewable energy consumption, and output in South America: the role of the productive structure. Environmental Science and Pollution Research, 

The Spatial Externalities of Tourism Activities in Poverty Reduction

The Liberalization of the Internal Energy Market in the European Union: Evidence of Its Influence on Reducing Environmental Pollution. 

Efecto del capital humano en las exportaciones de productos de alta tecnología en América Latina. Revista Económica, Centro de Investigaciones Sociales y Económicas, Universidad Nacional de Loja

Estructura de mercado y salarios: evidencia empírica para Ecuador usando microdatos. Revista Económica, Centro de Investigaciones Sociales y Económicas, Universidad Nacional de Loja

Since the inception of Sustainable Development Goals (SDGs), the Next 11 (N11) countries are facing difficulties in attaining the SDG objectives, as maintaining the environmental quality has been a challenge for them. In this study, we have revisited the technology policies of these countries, and in doing so, we have tried to address the problem of environmental degradation, while addressing the issues of sustained economic growth, clean and affordable energy, and quality education.

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.