This paper analyzes the power quality in a 400 kWp grid-connected solar photovoltaic system with storage (BESS), considering standards IEEE Std 519TM, IEEE Std 1159TM, and IEC 61000-4-30. For system analysis, a photovoltaic array model is developed. Neplan-Smarter Tools software is used for model validation, and experimental measurements are performed on the actual photovoltaic system, recording total harmonic distortion (THDi/THDv). A class B power quality monitor was used to measure three-phase electrical variables: current, voltage, power, power factor, and THD. The THD level was generated at an energy level below 20% of the rated power, resulting in high THDi. The recorded THDv remained below 2.5%, which means that its value is limited by the IEEE 519 standard. When the BESS was connected to the PCC grid, the voltage level remained regulated, and the electrical system appeared to be stable. This paper contributes a methodology and procedure for measurement and power quality assessment, allowing for THD identification and enabling designers to configure better designs and energy system protections when integrating solar photovoltaic energy into an electrical distribution network.

En América Latina más de 100 millones de personas no tienen acceso a una energía limpia, asequible y constante. En Colombia, esto sucede en las denominadas Zonas No- Interconectadas - ZNI con una población de más de 2 millones de personas, que viven en regiones con abundantes y diversos recursos energéticos renovables. En este artículo se presenta una metodología para el diseño de microrredes en zonas aisladas, partiendo de la evaluación de recursos energéticos renovables locales. Una microrred es un sistema que usa varias fuentes y utiliza tecnologías de conversión de energías renovables en electricidad para proveer de electricidad zonas asiladas. Estas “microrredes” inteligentes consisten en un sistema energético que integra la generación, transmisión, distribución y uso final de la energía, de manera eficiente y amigable con el medio ambiente, y con un mínimo impacto socio-cultural, permitiendo el intercambio de información entre todos los componentes del sistema para un óptimo control. Por ello, es de suma importancia desarrollar un acertado análisis y evaluación de recursos energéticos, con el objetivo de optimizar al máximo el diseño de microrredes In Latin America, more than 100 million people do not have access to clean, affordable and constant energy. In Colombia, this happens in the so-called Non-Interconnected Zones - ZNI with a population of more than 2 million people, who live in regions with abundant and diverse renewable energy resources. This paper presents a methodology for the design of microgrids in isolated areas, based on the evaluation of local renewable energy resources. A microgrid is a system that uses several sources and uses renewable energy conversion technologies in electricity to provide electricity to isolated areas. These intelligent "microgrids" consist of an energy system that integrates the generation, transmission, distribution and final use of energy, in an efficient and friendly way with the environment, and with a minimum socio-cultural impact, allowing the exchange of information between All system components for optimal control. Therefore, it is very important to develop an accurate analysis and evaluation of energy resources, with the aim of maximizing the design of microgrids.

The energy policy about the integration of energy efficiency plans and renewables has impacts on short, medium and long term in the competitive and productivity of Colombia. This paper builds an energy scenario between 2017-2030 based on energy efficiency plans and his impact on the curve of electricity demand. Additionally, this scenario considers the integration of renewables to dilucide key aspects for the energy matrix and his implications for Colombia in the context of green growth. This paper applies a methodology to characterize the energy alternatives based on prevailing premises and also on energy development perspectives. The results show a diminution of 6000 GWh to 2030 for energy efficiency plans, moreover, an integration level of 20% for FNCE.

Objective: the objective of this study is to conceptualize a network of heat exchangers designed to minimize energy waste and enhance the overall efficiency of the sugar production system.Methods: a systematic approach was adopted to analyze energy flows within the plant, identifying key areas for improvement, particularly in heating and evaporation processes. Heat accumulations in cascades and graphical analyses of composite curves were developed using specialized software to optimize heat exchange.Results: the results indicate a significant potential for energy savings, reducing the consumption of cooling and heating utilities in the plant by 7% and 30%, respectively. The developed computational tool allows for energy integration from simple processes to those with hundreds of streams. The pinch technology concept estimated an annual total savings of $464,850.08 in the selected process.Conclusion: this study demonstrates that thermal integration through pinch analysis not only improves energy efficiency in the sugar industry but also contributes to a considerable reduction in operational costs and environmental impact, providing a valuable tool for the industry’s sustainability and competitiveness.

Forecasting electricity generation from renewable resources is crucial for the efficient planning and operation of power systems. The development of forecasting models based on local meteorological variables is common, however, sometimes this information is unavailable. This study explores the use of multivariate models that do not incorporate meteorological variables, but use historical power-generated data from eight PV plants located in the same region to predict the future value of a target plant. This allows for improved forecasting when meteorological variables are unavailable and the only information available is the generation of the PV plants. The performance of LSTM and BiLSTM networks is compared for different time horizons, considering various lags of the power series itself for estimating future values. The main contributions of this study include the introduction of power time series from other plants as model inputs, the use of spatial interpolation to fill in missing data and the application of causality tests between time series for the selection of predictor variables, and the uncertainty associated with the predictions is analyzed using quantile regression techniques.

Este libro aporta un caso de estudio sobre una zona rural en el Valle del Cauca, cuya población es principalmente afrocolombiana, y se enfoca en la situación de las mujeres de los corregimientos de Robles, Quinamayó, Chagres y Villapaz, zonas en las cuales la principal actividad económica es la agricultura y en donde perviven los sistemas productivos de finca tradicional en medio de una economía fuertemente dominada por la industria de la caña de azúcar.“Mujeres rurales y transición energética” recoge los resultados y aprendizajes de dos proyectos de investigación: Energías Renovables para fortalecer la resiliencia de comunidades afrodescendientes de la zona rural de Jamundí (2020-2021), y Mujeres Rurales y Transición Energética, oportunidades y desafíos para la implementación de comunidades energéticas en la zona rural de Jamundí, Valle del Cauca (2022-2023), financiados por la Universidad Autónoma de Occidente, la Rural Sociological Society de Estados Unidos y el Fondo para la Investigación del Banco de la Mujer (WWB).