Ingeniería Eléctrica
URI permanente para esta colecciónhttp://hdl.handle.net/11349/2035
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Ítem Diseño eléctrico y de iluminación para la Institución Educativa Departamental Luis Alfonso Valbuena Ulloa con autogeneración a pequeña escala(Universidad Distrital Francisco José de Caldas) Franco Hidalgo, Paula Andrea; Flórez Cediel, Óscar David; Flórez Cediel, Óscar David [0000-0002-0653-0577]The project developed for the Luis Alfonso Valbuena Ulloa Departmental Educational Institution includes the implementation of an electrical, lighting, and photovoltaic system based on RETIE and RETILAP regulations. A detailed design was carried out to ensure safety, energy efficiency, and technical compliance, avoiding rework and minimizing risks to equipment and people. In the electrical design, appropriate conductors, conduits, and protection systems were selected to ensure the reliability of the system. Grounding and surge protection were incorporated to prevent critical failures and ensure continuity of electrical service. The lighting design was optimized using DIALux, ensuring that illuminance levels comply with RETILAP without causing glare or excessive consumption. LED luminaires were implemented to maximize energy efficiency and reduce operational costs. Regarding the financial viability of the photovoltaic system, an analysis based on NPV, IRR, and payback period was conducted, demonstrating that the system is profitable and sustainable in the long term. System degradation was considered in the simulation, allowing for adjusted expectations regarding energy production and economic return.Ítem Estrategia regulatoria basada en incentivos para reducir la tarifa de energía en ZNI mediante inclusión de generación no convencionalClavijo Martínez , Stiven Santiago; Ortiz Tejeda, Nicolás; Alarcón Villamil, Jorge Alexander; Alarcón Villamil, Jorge Alexander [0000-0002-8718-2542]This monographic work develops a regulatory strategy based on incentives with the objective of reducing electricity rates in the Non-Interconnected Zones (ZNI) of Colombia. To this end, the current regulatory framework is analyzed and a model that integrates non-conventional generation (mainly renewable) is proposed as a mechanism to reduce the costs associated with electrical service in these regions. The study incorporates optimization methods, tariff analysis and financial evaluation of the levelized cost of energy (LCOE), in order to identify scenarios in which the inclusion of distributed generation is economically viable and beneficial for end users. As a result, opportunities are evident to reformulate the tariff schemes in the ZNIs through well-structured incentive policies, which would improve the efficiency of the electrical system and reduce dependence on fossil sources such as diesel.Ítem Herramienta computacional para el cálculo de riesgo de daños por descargas eléctricas atmosféricas según NTC 4552-2:2023Cruz Rios, Valentina; Amaya Contreras, Andres Felipe; Moya Chaves, Francisco David; Rojas Pion, Aurelio Jesus; Moya Chaves, Francisco David [0000-0003-0206-1213]The increase in the frequency and intensity of extreme weather events, such as thunderstorms, has highlighted the need for effective lightning protection systems, due to the significant risk these events pose to human life, infrastructure, and electrical and electronic equipment, potentially causing economic losses, operational disruptions, and structural damage. In Colombia, the assessment of lightning-related risk and the design of appropriate protection systems are governed by national regulations such as NTC 4552-2, which is based on international standards and provides detailed methodologies for risk estimation. However, manual risk calculation is complex, error-prone, and requires a high level of technical expertise, as it involves analyzing various factors such as geographic location, structural dimensions, terrain characteristics, and lightning density in the area. For this reason, the development of an accessible computational tool is justified to automate these calculations in accordance with NTC 4552-2:2023, offering engineers, designers, and lightning protection companies a precise, efficient, and practical solution for risk assessment.Ítem Control adaptativo de la tasa de dilución para estabilidad en un biodigestor(Universidad Distrital Francisco José de Caldas) Gutiérrez Huertas, Adrián; Jaramillo Matta, Adolfo Andrés; Jaramillo Matta, Adolfo Andrés [0000-0002-9743-5638]Anaerobic digestion is a biological process that produces biogas from organic matter in the absence of oxygen, but it is sensitive to operational instability due to factors such as the accumulation of volatile fatty acids (VFAs). The dilution rate is a key parameter for maintaining system stability, as poor control can lead to microbial imbalances and process failure. This work proposes a mathematical model with nonlinear dynamics and the design of an adaptive controller that regulates the dilution rate based on methane flow rate measurements, aiming for continuous and stable biodigester operation.Ítem "Estimación de parámetros en módulos fotovoltaicos mediante el modelo de tres diodos y el método de optimización hiperbólica sech-tanh”(Universidad Distrital Francisco José de Caldas) Aguilar Rodriguez, , Gisell Stefanny; Yépez González, Luis Alejandro; Montoya Giraldo, Oscar Danilo; Montoya Giraldo, Oscar Danilo [ 0000-0001-6051-4925 ]This research optimizes the parameter estimation in photovoltaic cells using the Secant-Hyperbolic Tangent Optimization Algorithm (ASOA, by its acronym in English) considering the three-diode model, which provides a more accurate representation of the electrical behavior of solar cells. The ASOA was compared with the interior-point method of MATLAB; fmincon, evaluating its accuracy, stability, and ability to avoid local minima. The results show that ASOA improves parameter estimation, minimizing the error in the V-I curve and adapting to more complex optimization conditions. Additionally, the impact of the number of iterations on the model’s accuracy was analyzed, identifying an optimal convergence point at 3000 iterations, where a proper balance between accuracy and computational cost was achieved. Beyond this point, the adaptation function improves significantly, making it unnecessary to continue increasing the number of iterations. Thus, the combination of the three-diode model with the ASOA algorithm is established as an efficient and robust tool for the characterization and optimization of photovoltaic cells, supporting the development of more accurate and reliable solar energy systems. Beyond the technical advancements, this work has a significant impact on energy sustainability. Improving the accuracy of photovoltaic models directly contributes to the development of more efficient, cost-effective, and sustainable solar systems, fostering the integration of solar technologies under real operating conditions. This is particularly crucial in the current context, where the transition to cleaner energy sources is a global priority to mitigate climate change and reduce reliance on fossil fuels. The proposed innovative approach also encourages interdisciplinary collaboration among experts in mathematics, engineering, and renewable energy, driving the development of advanced technologies in this field. By addressing technical challenges related to the nonlinearity of the three-diode model and providing practical solutions through ASOA, this work represents not only an academic breakthrough but also holds significant implications for the renewable energy industry. Ultimately, this research contributes to a more sustainable energy future by supporting international sustainability goals and promoting the widespread adoption of clean technologies on a global scale.Ítem Estudio de la eficiencia eléctrica de un panel fotovoltaico monocristalino refrigerado mediante un colector solar de placa plana(Universidad Distrital Francisco José de Caldas) Arias Forero, Hugo Enrique; Cabrera Fuertes, Javier Hernando; Hernanández Mora , Johann AlexanderThe sun is responsible for almost all the energy available on earth [1]. Solar radiation comprises a broad spectrum of frequencies which are filtered in the outermost layers of the earth, where less dense gases such as ozone O3 are housed, limiting the amount of energy available for conversion to electricity on the earth's surface, as is shown in Figure 1. Only a small part of the solar spectrum incident on a photovoltaic cell is converted into electrical energy. Solar radiation transmits its energy from photons, which are present in all wavelengths, mostly in the visible spectrum, ie between 400 and 800 nm, with the peak radiation at 500 nmÍtem Integración óptima de generadores fotovoltaicos y compensadores estáticos de potencia reactiva en sistemas de distribución para minimizar costos operativos anuales aplicando un algoritmo de distribución exponencialPeñaloza Benavides , Diana Carolina; Sánchez Álvarez, Gersson Iván; Montoya Giraldo, Oscar Danilo; Montoya Giraldo, Oscar Danilo [0000-0001-6051-4925]This research presents a metaheuristic methodology to address the problem of optimal integration of photovoltaic generators and static reactive power compensators in distribution systems. The objective is to minimize the annual operating costs associated with the investment, operation and maintenance of these systems, which indirectly contributes to improve voltage profiles and reduce energy losses. The methodology is structured under a leader-follower optimization approach, in which the exponential distribution algorithm acts as a leader, generating potential solutions, while the evaluation of the power flow through successive approximations plays the role of follower, verifying compliance with the electrical parameters of the proposed solutions. The proposed methodology was tested in two test systems of 33 and 69 nodes, simulating different scenarios that include the separate and simultaneous integration of PV and D-STATCOM devices. The results indicate that the joint integration of both technologies significantly reduces operating costs compared to their independent implementation, achieving reductions of about 35.54\% and 35.66\% in the final value of the objective function with respect to the reference case. Furthermore, by comparing this research with the baseline study, it was verified that the proposed methodology is efficient in minimizing investment and operating costs, improving system efficiency and ensuring a more reliable supply. All computational tests were performed in the MATLAB programming environment (version 2024a) using our own scripts.Ítem Diseño e ingeniería de detalle de un sistema solar fotovoltaico off [1]grid para una comunidad perteneciente a las zonas no interconectadas (zni)(Universida Distrital Francisco José de Caldas) Mayorga Sanchez, Santiago; Peña Rodríguez, Jaime Hernando; García Barreto, Germán Alberto (Catalogador)The present final report aims to document the experience and lessons learned during the internship at SunColombia, a leading company in the solar energy sector in Colombia. This internship is part of the graduation project for the Electrical Engineering program at Universidad Distrital Francisco José de Caldas and seeks to integrate theoretical training with professional practice in a dynamic and constantly evolving environment.Ítem Prototipo de altímetro barométrico digital clase 1 para aeronaves lsa, proyecto AviónicaGómez Chauta, José Alexander; Torres Melgar, David Alejandro; Espinel Ortega, Alvaro; Espinel Ortega, Alvaro [0000-0002-7747-7718]In this document, basic concepts in aviation, academic documentation of altimeters, instrumentation and altimetry will be explored, all to establish the methodological bases necessary for the realization of a functional prototype of a digital barometric altimeter. To begin, a detailed description of the instruments and elements used in the construction of the prototype is made, followed by the laboratory tests that allow us to advance to the modeling of the system, then the human-machine interface is implemented that allows the visualization of data. and the necessary interaction with the instrument, culminating with the objectives, the validation of the complete system is done. An analysis of the previously obtained results continues, corroborating that the goals established for this project are met. Finally, recommendations are given on the prototype made and for anyone interested in reviewing or improving the prototype.Ítem Análisis de costos y beneficios económicos de la producción de hidrógeno con energías renovables no convencionales en el contexto de regulaciones colombianas y los compromisos del acuerdo de parís y los objetivos de desarrollo sostenible (2020-2050)(Universidad Distrital Francisco Jose de Caldas) Gutiérrez Mejía, Jacky Stefanny; Montoya Giraldo, Osar Danilo; Montoya Giraldo, Osar Danilo [0000-0001-6051-4925]; Garcia Barreto, Germán Alberto (Catalogador)This internship analyzes the economic impacts that the introduction of green hydrogen could generate on end users of the Colombian electricity system. The main objective is to evaluate the redistribution of electricity tariffs derived from tax incentives granted to hydrogen producers and to determine their impact on tariff equity and sustainability of the national electricity system. The analysis focuses exclusively on the region of La Guajira, identified as strategic due to its high potential in the generation of non-conventional renewable energies, such as solar and wind, in accordance with the hydrogen roadmap and Scenario 2 of the Indicative Generation Expansion Plan of the UPME (2024-2037). The ARIMA- Prophet statistical model was used to project end-user electricity costs for the years 2030, 2037 and 2050. Subsequently, tariff variations were analyzed under different scenarios: a 10\% reduction, a 50\% reduction and full compliance with green hydrogen production targets. These variations are directly related to the incentives evaluated, which partially exempt transmission and distribution costs for hydrogen generators, redistributing these costs to other end users. The results show that, although the incentives encourage the competitiveness of green hydrogen, they generate tariff increases that impact users unequally according to their socioeconomic category. In the lower strata, the increases represent a significant percentage of disposable income, while in the upper strata the impact is marginal. In addition, unit transmission and distribution costs tend to decrease in high penetration scenarios, partially benefiting final consumers. The conclusions indicate that green hydrogen can be economically viable if complemented with regulatory policies that mitigate tariff inequities, such as targeted subsidies and gradual adjustments in incentives.Ítem Generación distribuida de baja potencia en Colombia: correlación con la normatividad y estrategias para el manejo de excedentes y su adecuada gestiónGuerrero Tovar, Nicolás Esteban; Buitrago Parra, Andrés Felipe; Trujillo Rodríguez, César Leonardo ; Trujillo Rodriguez, Cesar Leonardo [0000-0002-0985-1472]The transition to more sustainable energy sources is a global challenge, particularly in Colombia, where non-interconnected zones (ZNI) face difficulties in accessing energy due to geography and the high cost of transportation. This situation highlights the need for local and decentralized solutions, such as distributed generation (DG), which harnesses renewable sources like solar and wind. Despite the benefits of DG, such as improved system efficiency and resilience, managing energy surpluses presents both technical and economic challenges. The reverse energy flow can affect grid stability, and compensating surpluses without considering actual demand could be unsustainable in the long term. This research proposes a comprehensive solution based on four components: analyzing current regulations in different countries, comparing these regulations, a case study of solar DG in Colombia, and exploring academic proposals for more efficient surplus management. The proposed solution aims to optimize surplus handling, ensuring a sustainable model tailored to Colombian conditions.Ítem Prototipo de macro y micro medición inteligente de energía de bajo costo para redes eléctricas de distribución para la caracterización del consumo con el fin de hacer proyecciones de la demanda de energíaPico Gallo, Sergio Andrés; Bermúdez Espíndola, Cristian David; Espinel Ortega, Álvaro; Espinel Ortega, Álvaro [0000-0002-7747-7718]This work focuses on the design and construction of an advanced electrical energy metering system capable of functioning as both a macro and micro energy meter. The data acquisition system (DAS) and sensing stage consist of an ESP8266 microcontroller and three PZEM-004T devices, one for each phase. The innovation of the system lies in its ability to monitor electrical variables in real time and subsequently perform demand forecasting, thereby improving energy management and efficiency in distribution networks. Initially, a prototype was developed with the capability to capture electrical variables such as voltage, current, active, reactive, and apparent power, power factor, frequency, and energy at various points in the electrical network, such as transformer outputs and consumption points in homes and businesses (macro and micro metering). The developed prototype includes an application that can be installed on desktop and mobile platforms, enabling users to visualize real-time electrical consumption behavior and other monitored variables. The system also stores this data in a repository for further analysis, facilitating demand forecasting and promoting improved consumption habits. To ensure the accuracy of the device, extensive testing was conducted, comparing the prototype's results with those obtained from a certified measuring instrument. These tests allowed the determination of the device's precision class, confirming that it meets the necessary requirements for energy measurement in the aforementioned distribution network points. Subsequently, the system's measurement data was analyzed to identify consumption patterns and trends in energy demand behavior. Various statistical and econometric methods, such as ARIMA and Holt-Winters, as well as non-statistical methods like Random Forest, XGBoost, and neural networks, were implemented and compared. These methods employed different mathematical techniques to deliver results within a confidence interval and with relatively low error rates. To validate the performance of the implemented algorithms, real power demand data was used, obtained from the Sinergox platform by XM, as well as simulated consumption data generated by the measurement prototype through the provided API and the corresponding Python libraries. The time series used for algorithm training covered a four-month period, and the predictions spanned 7 to 10 days. These predictions considered the type of day and atypical dates, such as holidays, where energy consumption experiences significant variations. The results demonstrated the system's efficiency in making accurate predictions and adapting to any time series or day of the week, even under unconventional demand conditions. The developed system is projected as a low-cost, highly efficient solution for monitoring electrical variables and demand forecasting, establishing itself as a valuable tool for efficient energy management in electrical distribution networks.Ítem Estimación de la eficiencia de detección de la red total de rayos de Earth Networks para el territorio colombiano(Universidad Distrital Francisco José de Caldas) Buritica Angulo , Rominger; Aza Beltrán, Brenda Vannessa; Rojas Cubides, Herbert Enrique; Garcia Miranda, Diana Stella; Rojas Cubides; Herbert Enrique [0000-0003-1253-6964]This research study estimates the detection efficiency (DE) of the Earth Networks Total Lightning Network (ENTLN) in Colombia for cloud-to-ground (CG) discharges using records collected in 2021. The study begins with a description of the operation of lightning detection networks, covering fundamental concepts related to atmospheric electrical discharges and the propagation of electromagnetic fields generated by this phenomenon. Additionally, it describes the detection and localization systems, which utilize methods such as Magnetic Direction Finding (MDF) and Time of Arrival (TOA), both of which are widely used in private and open lightning detection networks worldwide. The analysis focuses on the ENTLN network, detailing its infrastructure and the spatial distribution of its sensors throughout Colombia. A general overview of Geographic Information Systems (GIS) is provided, as they are essential for understanding the nature of the available data supplied by the network. Based on this information, a data extraction and processing methodology is proposed, incorporating classification, filtering, and geospatial processing techniques. The goal is to construct detection efficiency (DE) maps and ground flash density (GFD) maps. For DE estimation, the study applies the CIGRE C4.404 procedure, which allows for the assessment of detection efficiency based on the cumulative current distribution of CG discharges occurring within a defined area. This procedure is implemented through a Python-based algorithm that facilitates the classification, filtering, and visualization of both data and results. This algorithm is integrated into a computational tool called ED4LLS, which also enables the generation and visualization of DE and GFD maps. The results are presented through detection efficiency maps, showing values exceeding 80% across most of the Colombian territory, with some regions reaching efficiencies close to 100%. These high-efficiency areas correlate with regions of intense CG lightning activity, such as Antioquia and Chocó. Finally, to validate the findings, the results are compared with previous studies and other academic sources. Based on these analyses, the study concludes that the ENTLN network demonstrates a high performance in detecting cloud-to-ground discharges in Colombia. Additionally, future research directions are proposed to further enhance the accuracy of lightning detection and monitoring systems in the country.Ítem Compensación de potencia reactiva en redes de distribución de media tensión con condensadores conmutados por tiristores considerando perfiles de demanda variable mediante el algoritmo de búsqueda del águila calva(Universidad Distrital Francisco José de Caldas) Peñuela Muñoz, Andrés Gregorio; Moncada Perdomo, Nicolás; Montoya Giraldo, Óscar Danilo; Montoya Giraldo, Óscar Danilo [0000-0001-6051-4925]This research document addresses the challenge of reactive power compensation in electrical distribution networks from a metaheuristic optimization perspective. A discrete-continuous version of the bald eagle search (BES) algorithm is used to optimize the placement and sizing of thyristor switched capacitors (TSCs). The proposed approach employs a discrete-continuous encoding of the solution vector, where the discrete part determines the nodes for the installation of the TSCs, while the continuous part defines their appropriate sizes. A key advantage of this encoding is that the mixed-integer nonlinear programming (MINLP) model, which represents the optimal placement and sizing problem of the TSCs, only requires a classical power flow method to evaluate the objective function. This simplifies its implementation in any available programming language. The objective function seeks to minimize the total costs of power losses in the network and the annualized investment costs in TSCs. In addition, to account for daily load variations, active and reactive power demand curves are incorporated into the optimization model. The numerical results obtained on two test radial feeders, with 33 and 69 buses, demonstrate that the proposed BES can solve the MINLP model with excellent results, comparable or even better than the MINLP solvers available in GAMS software. All tests were carried out in the MATLAB software programming environment, taking advantage of its potential and flexibility. This approach offers an effective and efficient solution to address the problem of reactive power compensation in electrical distribution networks.Ítem Revisión y actualización del estado actual que presenta el sistema eléctrico del “coliseo del café” teniendo en cuenta parámetros técnicos de acuerdo con la normativa RETIE, RETILAP, NTC2050 E IECCabrera Correa, Sergio Andrés; Flórez Cediel, Oscar David; Flórez Cediel, Oscar David [0000-0002-0653-0577]This document is presented as the final report of the internship "Review and update of the electrical system for the future readjustment of the Coliseo del Café sports venue in Armenia, Quindío" whose purpose was to document in a truthful, concise and unanimous way the information of the electrical system of the stage, leaving everything available for a future remodeling and updating of said electrical system.Ítem Application of the optimization algorithm based on the cauchy distribution for the management of active and reactive power with batteries in power distribution systemsy (aplicación del algoritmo de optimización basado en la distribución de cauchy para la gestión de potencia activa y reactiva con baterías en sistemas de distribución de energía)(Universidad Distrital Francisco José de Caldas) Vega Peña, María Camila; Montoya Giraldo, Oscar Danilo; Montoya Giraldo, Oscar Danilo [0000-0001-6051-4925 ]; Garcia Barreto, Germán Alberto (Catalogador)Context: This study develops an energy dispatch model (EDM) using the Cauchy-based Distribution Optimizer (CbDO) for coordinating BESUs and DERs in medium-voltage distribution networks, aiming to minimize energy losses and operational costs while adhering to network constraints. Method: The CbDO, leveraging Cauchy distribution properties, was implemented in MATLAB and benchmarked against CGA, PPSO, PVSA metaheuristics, and an SDP approach. Scenarios included unitary and variable power factor operations to test optimization performance. Results: CbDO outperformed traditional methods, achieving lower energy losses and CO2 emissions, closely matching SDP results in variable power factor scenarios. The most significant gains were seen when all DERs operated flexibly, validating CbDO’s effectiveness in complex, non-convex problems Conclusions: CbDO is a viable, efficient solution for EDM, providing near-SDP performance with simpler implementation. BESUs integration and flexible power factor operation notably enhance grid efficiency. .Ítem Despacho económico-ambiental de centrales de generación térmica empleando el algoritmo de optimización de Newton-RaphsonTohapanta Quiranza, David Alejandro; Sedano Duque, Jairo Andrés; Montoya Giraldo, Oscar Danilo; Montoya Giraldo; Oscar Danilo [0000-0001-6051-4925]This article presents research focused on minimizing generation costs and reducing greenhouse gas emissions in predominantly thermal power systems, using a Newton-Raphson-based optimization algorithm. The applied methodology involves the resolution of the economic-environmental dispatch problem, considering the valve point effect and various operational restrictions of electrical power systems. The performance of the Newton-Raphson algorithm is compared with other algorithms used in similar case studies. The results obtained from studies with thermal generation systems of 3 and 10 units show that the proposed algorithm offers optimal and superior solutions compared to other methods. The strategy demonstrates its effectiveness by balancing fuel costs and emissions, effectively solving the economic-environmental dispatch problem.Ítem Compensación de potencia reactiva en redes de distribución de media tensión mediante compensadores conmutados basados en tiristores aplicando el algoritmo del colibrí artificial(Universidad Distrital Francisco José de Caldas) Giraldo Aizales, Dallany; Montoya Giraldo, Óscar Danilo; Montoya Giraldo, Óscar Danilo [0000-0001-6051-4925]This document presents an innovative metaheuristic algorithm designed to solve the reactive power compensation problem in medium-voltage distribution systems, utilizing Thyristor-Controlled Series Compensators (TCSC). The primary objective of this methodology is to minimize the annual operating costs of the network by optimizing its efficiency and performance. The problem is tackled using a master-slave approach with discrete-continuous coding, allowing for an effective integration of decision-making in the master stage and a detailed evaluation of the solutions in the slave stage. The proposed methodology employs the Artificial Hummingbird Algorithm to generate potential solutions to the problem in the master stage. These solutions are encoded to suit the optimization framework and then evaluated in the slave stage through a successive approximation power flow method. This process enables the identification of optimal configurations for the placement and sizing of reactive power compensators, such as TCSC devices, at strategic nodes in the distribution network. To validate the effectiveness of the proposed methodology, tests were conducted on two distribution systems with configurations of 33 and 69 nodes, respectively. The results reveal a significant reduction in network energy losses when TCSC compensators are integrated, demonstrating the potential of the Artificial Hummingbird Algorithm to enhance the operation and efficiency of distribution systems. These findings confirm the capability of the proposed methodology to effectively address the reactive power compensation problem and contribute to the development of more efficient and reliable distribution networks.Ítem Control de un rectificador elevador de medio puente con alto factor de potencia usando la red neuronal NARMA-L2(Universidad Distrital Francisco José de Caldas) Quiroga Moreno, Ángel Stivenn; Espitia Cuchango, Helbert Eduardo; Quiroga Moreno, Ángel Stivenn [0009-0003-5859-6804]; Espitia Cuchango, Helbert Eduardo [0000-0002-0742-6069]In this document, the implementation of a NARMA-L2 controller for a half-bridge boost converter with power factor correction is carried out, but not before having carried out a complete compilation and analysis of the state of the art, thus generating a reference to compare. the results of the converter plant and evaluate the performance of the controller with neural networks. This comparison is carried out first through simulation results and then through the fabrication of a 100 W, 120 V input and 450 V output laboratory prototype, which operates with an equalizer circuit that reduces the voltage imbalance present in the two output capacitors of the plant.Ítem Análisis técnico-económico del impacto de puntos calientes en las instalaciones eléctricas de una empresa industrial colombiana mediante el uso de la termografía(Universidad Distrital Francisco José de Caldas) Páez Arias, Karen Sofía; Montoya Giraldo, Oscar DaniloThis study presents a comprehensive analysis of the economic and technical impact of hot spots in the electrical installations of a Colombian industrial company. Through a detailed thermographic evaluation the losses associated with these hotspots were identified and quantified, as well as the inherent risks of their presence, such as equipment failures, power supply interruptions and potential fires. Using a multidisciplinary approach, the direct and indirect costs derived from hot spots were estimated, considering factors such as regulatory sanctions, production losses and maintenance expenses. Subsequently, various technical solutions were proposed and evaluated to mitigate the adverse effects of these phenomena, prioritizing those with the greatest economic viability. The results obtained demonstrate the importance of implementing predictive maintenance programs based on thermography in industrial environments. Early detection and timely correction of hot spots allow not only a significant reduction in operating costs but also an increase in the reliability and safety of electrical installations.