Diseño metodológico una estrategia para el desarrollo productivo y sostenible de comunidades en el Cauca

Introduction: The productive and sustainable development in the department of Cauca depends to a large extent on the effective use of information and communication technologies (ICT). However, the institutional framework lacks mechanisms or methods to select investment projects with ICT resources. This situation has become an obstacle to economic growth and the improvement of social conditions in the region. Methods: In this article, the construction of a methodological design, one that allows for the selection and evaluation of projects with ICT resources that contribute to the solidarity economy of Cauca communities, is consolidated. The investigative process used a mixed approach, carrying out a systematic review of academic and political-organizational information, after which proposals and selection criteria used in Cauca in the last 5 years were analyzed. Results: With the information collected and analyzed, a route for the selection and evaluation of projects was compiled. Likewise, user stories were used to create a simulator that materializes the process of selecting and evaluating projects in a more efficient and effective way. Conclusions: In conclusion, the creation of the methodological design, materialized in the simulator, represents a valuable tool for the department of Cauca, since it allows for a rigorous and coherent evaluation of investment projects with ICT resources. Originality: Promoting productive growth, the solidarity economy also contributes to sustainable development for the communities of Cauca. Limitations: The sample was limited due to the geographical location of the municipalities.Introducción: El desarrollo productivo y sostenible en el departamento del Cauca depende en gran medida de la utilización efectiva de las tecnologías de información y comunicación (TIC). Sin embargo, la institucionalidad carece de mecanismos o métodos para seleccionar proyectos de inversión con recursos TIC. Esta situación se ha convertido en un obstáculo para el crecimiento económico y la mejora de condiciones sociales en la región. Métodos: En este artículo, se consolida la construcción de un diseño metodológico que permite seleccionar y evaluar proyectos con recursos TIC que aportan a la economía solidaria de comunidades del Cauca. El proceso investigativo se abordó desde un enfoque mixto, realizando una revisión sistemática de información académica y político-organizativa, después se analizaron propuestas y criterios de selección utilizados en el Cauca en los últimos 5 años. Resultados: Con la información recolectada y analizada, se diseñó una ruta para la selección y valoración de proyectos. Así mismo se utilizaron historias de usuario para crear un simulador que materializa el proceso de seleccionar y evaluar los proyectos de forma más eficiente y efectiva. Conclusiones: En conclusión, la creación del diseño metodológico, materializado en el simulador representa una herramienta valiosa para el departamento del Cauca, ya que permite una evaluación rigurosa y coherente de los proyectos de inversión con recursos TIC. Originalidad: fomentando el crecimiento productivo, la economía solidaria al mismo tiempo se contribuye al desarrollo sostenible para comunidades del Cauca. Limitaciones: Por la ubicación geográfica de los municipios se tuvo que limitar la muestra

Evaluación técnica-ambiental de un sistema de micro-cogeneración basado en gas natural para aplicación residencial

The study carried out here aims to determine the advantage of using in-situ electricity generation facilities versus conventional generators, being evaluated from the environmental point of view. For this, an environmental analysis on the production of CO2 has been applied to two scenarios of electricity generation for a residential building in Medellin city (Colombia). The first one refers to La Sierra thermo-electric plant located in La Sierra, municipality of Puerto Nare, in the Antioquiashire, which is the most efficient plant in Colombian thermal generation. The second comparison scenario refers to the annual operation of a micro-cogeneration facility, which satisfies the building's hot water and electrical energy needs. Using the capabilities of the TRNSYS v17® energy simulation software and the emission equations available in the public domain, the comparative environmental analysis is carried out between one and the other for the same load. The losses in electric transmission are assumed to be 10%. This analysis has shown a difference of more than 50% in emissions generation, with the main cause being the amount of fuel used, which for both cases is natural gas. On the other hand, this study shows the environmental advantages in the use of in-situ generators, decreasing transmission losses.Evaluación técnica-ambiental de un sistema de micro-cogeneración basado en gas natural para aplicación residencialpublishedVersio

Importancia de la escritura en los procesos de investigación científica

Many scientists of the XVII century kept the results of their investigations secret in order to avoid others claiming them as their own. Thought leaders of the time, including Sir Isaac Newton, refrained from announcing many of their discoveries in fear of third parties claiming authorship on said findings.En el siglo xvii, muchos científicos mantuvieron los resultados de sus investigaciones en secreto con el fin de que otros no pudiesen reclamarlos como propios. Figuras destacadas de ese entonces como Sir Isaac Newton evitaban a menudo anunciar sus descubrimientos por temor a que alguien más reclamara su autoría

Methodology for automatic fault detection in photovoltaic arrays from artificial neural networks

This article presents a methodology for automatic fault detection in photovoltaic arrays. Due to the great importance in the construction of increasingly robust photovoltaic plants, automatic fault detection has become a necessary tool to extend the useful life of these plants, avoid system shutdowns and reduce serious safety problems. In the present study, nine possible faults are detected, caused by malfunction in the bypass and blocking diodes. The solution consists of training two models based on artificial neural networks, the first model is a binary classifier that detects whether or not a fault occurs, the second is a multiclass classifier that detects the fault type. The obtained models were trained from simulation data, in an architecture of 9 photovoltaic panels interconnected in three rows by three columns matrix (extendable to larger systems). The evaluation shows that the prediction system has a total accuracy of 92.95%. Finally, this methodology is intended to be implemented in Colombia, in zones with difficult access and not interconnected to the electricity grid, seeking to reduce corrective maintenance

A systematic mapping study of micro-grid architectures

Introduction:  Generation and energy consumption are a major issue in different countries around the world. Nowadays, projects under development seek the modernization of electric power generation and distribution systems. One of the main strategies is the design of context-adaptable micro-grid architectures. The micro-grid concept focuses on a controlled, monitored and highly autonomous use of electric power supported on information technologies, for the optimization of energy transfer, minimize risks and increase the system’s quality, efficiency and reliability. Goal: This article, therefore, aims to identify, classify and compare different micro-grid architectures, based on their applicability and research trends. Method: A systematic mapping study of micro-grid architectures is conducted to examine the experimental and theoretical contributions made by the scientific community. Results: This article categorizes and quantifies the different studies related to the subject, identifying and analyzing the strengths and opportunities for improvement in the applicability of micro-grid architectures. The trends observed highlight five strategies as the most relevant, whose different characteristics contribute to an automated and intelligent organization of the distribution, control and supervision of electricity according to supply versus demand

A systematic mapping study of micro-grid architectures

Introduction:  Generation and energy consumption are a major issue in different countries around the world. Nowadays, projects under development seek the modernization of electric power generation and distribution systems. One of the main strategies is the design of context-adaptable micro-grid architectures. The micro-grid concept focuses on a controlled, monitored and highly autonomous use of electric power supported on information technologies, for the optimization of energy transfer, minimize risks and increase the system’s quality, efficiency and reliability. Goal: This article, therefore, aims to identify, classify and compare different micro-grid architectures, based on their applicability and research trends. Method: A systematic mapping study of micro-grid architectures is conducted to examine the experimental and theoretical contributions made by the scientific community. Results: This article categorizes and quantifies the different studies related to the subject, identifying and analyzing the strengths and opportunities for improvement in the applicability of micro-grid architectures. The trends observed highlight five strategies as the most relevant, whose different characteristics contribute to an automated and intelligent organization of the distribution, control and supervision of electricity according to supply versus demand

Big Data Analytics in Smart Grids for Renewable Energy Networks: Systematic Review of Information and Communication Technology Tools

El desarrollo industrial y económico de los países industrializados, a partir del siglo XIX, ha ido de la mano del desarrollo de la electricidad, del motor de combustión interna, de los ordenadores, de Internet, de la utilización de datos y del uso intensivo del conocimiento centrado en la ciencia y la tecnología. La mayoría de las fuentes de energía convencionales han demostrado ser finitas y agotables. A su vez, las diferentes actividades de producción de bienes y servicios que utilizan combustibles fósiles y energía convencional, han aumentado significativamente la contaminación del medio ambiente, y con ello, han contribuido al calentamiento global. El objetivo de este trabajo fue realizar una aproximación teórica a las tecnologías de análisis de datos e inteligencia de negocio aplicadas a las redes de sistemas eléctricos inteligentes con energías renovables. Para este trabajo se realizó una revisión bibliométrica y bibliográfica sobre Big Data Analytics, herramientas TIC de la industria 4.0 y Business intelligence en diferentes bases de datos disponibles en el dominio público. Los resultados del análisis indican la importancia del uso de la analítica de datos y la inteligencia de negocio en la gestión de las empresas energéticas. El trabajo concluye señalando cómo se está aplicando la inteligencia de negocio y la analítica de datos en ejemplos concretos de empresas energéticas y su creciente importancia en la toma de decisiones estratégicas y operativasThe industrial and economic development of the industrialized countries, from the nineteenth century, has gone hand in hand with the development of electricity, the internal combustion engine, computers, the Internet, data use and the intensive use of knowledge focused on science and the technology. Most conventional energy sources have proven to be finite and exhaustible. In turn, the different production activities of goods and services using fossil fuels and conventional energy, have significantly increased the pollution of the environment, and with it, contributed to global warming. The objective of this work was to carry out a theoretical approach to data analytics and business intelligence technologies applied to smart electrical-system networks with renewable energies. For this paper, a bibliometric and bibliographic review about Big Data Analytics, ICT tools of industry 4.0 and Business intelligence was carried out in different databases available in the public domain. The results of the analysis indicate the importance of the use of data analytics and business intelligence in the management of energy companies. The paper concludes by pointing out how business intelligence and data analytics are being applied in specific examples of energy companies and their growing importance in strategic and operational decision makinghttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000192503https://scholar.google.com/citations?user=9HLAZYUAAAAJ&hl=eshttps://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000005961https://orcid.org/0000-0003-1166-198

Conceptualización de territorios inteligentes: Una aproximación desde el enfoque sociotécnico.

El concepto de territorios inteligentes ha ido emergiendo en la literatura por la necesidad de extender las premisas de las ciudades inteligentes a entornos rurales o de enfoque regional. Este trabajo hace una conceptualización de territorios inteligentes desde un enfoque sociotécnico,a partir de la revisión de literatura del concepto de ciudad inteligente, donde se identifican tanto componentes tecnológicos (conectividad, analítica, instrumentación y aplicaciones) como contextuales (institucionalización, especialización inteligente e innovación), como parte esencialpara el desarrollo de estas iniciativas. Se expone una arquitectura genérica con los componentes expuestos y se definen algunas estrategias para la dinamización de territorios inteligentes a partir de los componentes propuestos