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Slide 1 of 5 Publicación Acceso Abierto
Driving the development of energy communities in Colombia: challenges and opportunities for a decentralized energy transition
(2025-06-30) Medina Reyes, María Fernanda; Fajardo Cuadro, Juan Gabriel; Martínez Santos, Juan Carlos
Las comunidades energéticas representan un paradigma transformador para democratizar el acceso a energías renovables, descentralizar los sistemas energéticos y fomentar la sostenibilidad económica. Este estudio analiza su desarrollo global, con énfasis en países en vías de desarrollo como Colombia. La investigación utiliza una revisión sistemática en Scopus y un análisis de co-ocurrencia de palabras clave para identificar tendencias; además, se revisaron documentos regulatorios colombianos para contextualizar los hallazgos. Se abordan la generación distribuida, el comercio entre pares (P2P) y los marcos regulatorios que impulsan transiciones energéticas locales. En Colombia, aunque las oportunidades son significativas, persisten retos de infraestructura, regulación y aceptación social, especialmente en el Caribe. Este artículo propone estrategias adaptadas basadas en experiencias internacionales para superar dichas barreras y consolidar sistemas descentralizados que aceleren la transición energética y el desarrollo sostenible del país.
Slide 2 of 5 Publicación Acceso Abierto
Geomagnetic disturbances and grid vulnerability: Correlating storm intensity with power system failures
(2025) Gonzalez Figueroa, Mauro Alonso; Herrera Acevedo, Daniel David; Sierra Porta, David
Geomagnetic storms represent a critical yet sometimes overlooked factor affecting the reliability of modern power sys tems. This study examines the relationship between geomagnetic storm activity—characterized by the Dst index and
categorized into weak, moderate, strong, severe, and extreme intensities—and reported power outages of unknown or
unusual origin in the United States from 2006 to 2023. Outage data come from the DOE OE-417 Annual Summaries,
while heliospheric and solar wind parameters (including proton density, plasma speed, and the interplanetary magnetic
field) were obtained from NASA’s OMNIWeb database. Results indicate that years with a higher total count of geo magnetic storms, especially those featuring multiple strong or severe events, exhibit elevated incidences of unexplained
power interruptions. Correlation analyses further reveal that increasingly negative Dst values, enhanced solar wind
velocity, and higher alpha/proton ratios align with greater numbers of outages attributed to unknown causes, under scoring the pivotal role of solar wind–magnetosphere coupling. A simple regression model confirms that storm intensity
and average magnetic field strength are statistically significant predictors of unexplained outages, more so than broad
indicators such as sunspot number alone. These findings highlight the importance of monitoring high-intensity geo magnetic storms and associated heliospheric variables to mitigate potential risks. Greater attention to space weather
impacts and improved reporting of outage causes could bolster grid resilience, helping operators anticipate and manage
disruptions linked to geomagnetic disturbances.
Slide 3 of 5 Publicación Acceso Abierto
Simulation and optimisation using a digital twin for resilience-based management of confined aquifers
(Water 2025, 17(13), 2025-06-30) Cohen Manrique, Carlos; Villa Ramírez, José Luis; Camacho-Leon, Sergio; Solano Correa, Yady Tatiana; Álvarez Month, Alex A.; Coronado Hernández, Óscar Enrique; Grupo de Investigación Física Aplicada y Procesamiento de Imágenes y Señales- FAPIS
Efficient management of groundwater resources is essential for environmental sustainability. This study introduces the development and application of a digital twin (DT) for confined aquifers to optimise water extraction and ensure long-term sustainability. A resilience-based control model was implemented to manage the Morroa Aquifer (Colombia). This model integrated historical, hydrogeological, and climatic data acquired from in-situ sensors and satellite remote sensing. Several heuristic methods were employed to optimise the parameters of the objective function, which focused on managing water extraction in aquifer wells: grid search, genetic algorithms (GA), and particle swarm optimisation (PSO). The results indicated that the PSO algorithm yielded the lowest root mean square error (RMSE), achieving an optimal extraction rate of 8.3 l/s to maintain a target dynamic water level of 58.5 m. Furthermore, the model demonstrated the unsustainability of current extraction rates, even under high-rainfall conditions, highlighting the necessity for revising existing water extraction strategies to safeguard aquifer sustainability. To showcase its practical functionality, a DT prototype was deployed in a well within the Morroa piezometric network (Sucre, Colombia). This prototype utilised an ESP32 microcontroller and various sensors (DS18B20, SKU-SEN0161, SKU-DFR0300, SEN0237-A) to monitor water level, pH, dissolved oxygen, and temperature. The implementation of this DT proved to be a crucial tool for the efficient management of water resources. The proposed methodology provided key information to support decision-making by environmental management entities, thereby optimising monitoring and control processes.
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