Implementing smart microgrids for Non-Interconnected Zones (NIZs) has become an alternative solution to provide electrical energy by taking advantage of the resources available through the generation of renewable energy within these isolated areas. Within this context, in this study, the challenges related to microgrids and data analysis are presented, and different relevant data architectures described in the literature are compared. This paper focuses on the design of a data architecture for a smart microgrid for NIZs whose microgrid contains two 260 W solar panels, a 480 W inverter, and two 260 Ah batteries. Regarding the Colombian context, this paper describes the limitations (connectivity, isolation, appropriation of technologies) and opportunities (low demand, access to natural resources, state interest) from which the functional and non-functional requirements for the architecture are established. Finally, a data architecture is proposed and implemented in a NIZ in Colombia, and this paper also includes a description of the architecture, its characteristics, its associated opportunities and challenges, and discussions regarding its implementation.

The purpose of this study is to identify teaching styles (TS) and learning styles (LS) in teachers and students in public schools with a focus on renewable energies, with the aim of designing and applying curricular strategies based on active learning in relation to the Sustainable Development Goals (SDGs). In the same way, it seeks to determine the differences related between TS and LS. The research was developed with a quantitative methodology and a correlational descriptive approach. In addition, a non-experimental, cross-sectional design was used and an intentional non-probabilistic sampling of 125 students and 20 professors from the Maria Inmaculada School of the municipality of Puerto Carreño, Colombia. The results indicate that there is no significant difference between TS and LS. However, it was identified that students prefer a reflective teaching methodology (M = 15.5, SD = 0.75) followed by the active style (M = 14.2, SD = 1.10) and, to a lesser extent, the pragmatic style (M = 11.4, SD = 1.19). In the case of teachers, the most used teaching style is also reflective (M = 25.7, SD = 1.02), followed by individualized (M = 20.1, SD = 0.56) and, to a lesser extent, inquiry (M = 5.3, SD = 1.10). This research allows the generating of new knowledge that contributes to improving educational processes in the school population with a focus on renewable energies, enabling the promotion of strategies towards a sustainable society.

The provision of potable water or water with physical, chemical, and microbiological characteristics suitable for consumption is essential for human survival. However, numerous communities in the coastal areas of Colombia still lack access to clean and safe water sources. To address this challenge in many communities, desalination emerges as a promising solution. In this regard, this article focuses on the evaluation and proposal of an integrated simulation model for solar-powered water desalination in coastal communities, with particular attention to water quality aspects, as well as potential impacts on health and the environment. To carry out a comprehensive assessment, the intention is to design a simulation model using tools such as Homer Pro, IMSdesign, and MATLAB, leveraging data on living conditions and water quality in La Guajira, as well as publicly available information on the best desalination practices in coastal communities and following current Colombian regulations within the framework of health and environmental care. This model will allow for a detailed analysis of key factors and impacts in the implementation of solar-powered desalination systems, considering the conditions of the case study in Manaure, La Guajira, Colombia. Through this design, it facilitates the understanding of technical and operational aspects, as well as exploring efficient energy solutions through the integration of renewable sources, with the purpose of mitigating the challenges associated with high energy consumption and reducing both costs and the environmental and human health impact inherent in these desalination processes.

Energy determines the social, economic, and environmental aspects that enable the advancement of communities. For this reason, this paper aims to analyze the quality of the energy service in the Non-Interconnected Zones (NIZ) of Colombia. For this purpose, clustering techniques (K-means, K-medoids, divisive analysis clustering, and heatmaps) are applied for data analysis in the context of the NIZ to identify patterns or hidden information in the Colombian government data related to the state of the electricity service in these localities during the years 2019–2020. A descriptive statistical analysis and validation of the results of the clustering techniques is also carried out using R software. Through the implementation of clustering algorithms such as K-means, K-medoids, and divisive analysis clustering, potential areas for the development of renewable and alternative energy projects are identified, considering places with deficiencies in their current electricity service, higher consumption, or places with very low daily hours of electricity service. Additionally, relationships were identified in the dataset that can be considered as tools that would support decision-making for academia and industry, as well as the definition of guidelines or strategies from the government to improve energy efficiency and quality for these places, and consequently, the living conditions of the residents of Colombia’s NIZs.

1. The rapid growth of new information technologies and intelligent systems has led to the generation of vast amounts of data. When properly processed, these data can serve as a powerful tool for i...