vol. 3 núm. 2 (2022): transactions on energy systems and engineering applications

This paper presents examples of high-speed 3D optical sensing for research and applications in the manufacturing community. Specifically, this paper will focus on the fringe projection technique as a special technology that can be extremely beneficial to manufacturing applications, given its merits of simultaneous high-speed and high-accuracy 3D surface measurements. This paper will introduce the basic principles of 3D optical sensing based on the fringe projection technique as well as the enabled manufacturing research applications, including both in-situ/in-process monitoring and post-process quality assurance.

Editor-in-Chief Andres Marrugo discusses the latest developments in the journal.

The aim of this work is to analyze the possibility of producing a joint by lamination of an Al-1050 plate and Fe78Si9B13(%at.) soft magnetic ribbons material obtained by a rapid solidification process by using the Melt Spinning (MS) technique. The lamination conditions are studied on the characteristics of the joint, the microstructure, and the magnetic properties. Mainly the surface preparation, temperature, and reduction of thickness. The material is characterized by X-Ray Diffraction, Optical, and Scanning Electron Microscopy, showing a completely amorphous structure before and after the collamination, the typical defects caused by this rapid solidification technique in ribbons (bubbles, dust particles, roughness imperfections and oxides) and the joint between materials. The microhardness Vickers has been determined in both, the ribbons as quenched and collaminated samples, to observe quantitatively the hardening suffered during colamination and find a possible cause. The Differential Scanning Calorimetry and Compositional Analysis by EDS techniques were also used to determine the crystallization temperatures and chemical exact chemical composition of the ribbons as received. The magnetic hysteresis curve of the amorphous ribbons showed a Hc and Ms around 3.8 A/m and 1.44 T correspondingly.

Data science-based digital twin models of renewable energy system technologies developed in a real-time data-rich environment help develop better decisions and predictions than those in the present environment. Based on this real-time analysis of countrywide data, digital twin contributes to effective and reduced cost-based power system control at the localised level. Developing digital twin models from the collection of relevant data is an innovative technology. The challenge is how to leverage all the operational data and analyse the use of data from across transmission and distribution networks to help achieve the objectives. This paper presents an overview of the existing applications of digital twins in power systems.

Este trabajo tiene como objetivo un modelo para la caracterización y planificación de la demanda eléctrica en redes aisladas cuando no se cuenta con información del sistema de medición, escenario típico en la Zona No Interconectada de Colombia. Esta investigación se basa en el método de Arvidson de la publicación titulada: "Método de demanda diversificada para estimar cargas de transformadores de distribución residencial". Este estudio propone índices de consumo para electrodomésticos típicos basados ​​en un análisis estadístico de censos de carga. Luego, se hace un oportuno contraste entre las curvas del estudio de Arvidson y las curvas de generación de la red aislada debido a que no hay medición directa en los usuarios finales ni por macromedidores asociados a los transformadores. Con esta información se procede a complementar la curva de Arvidson validada con su propio índice; este índice permite reajustar la curva propuesta a una curva similar, por unidad, con el perfil de generación. La principal contribución es proponer un nuevo factor, con el fin de contextualizar y diversificar el método Arvidson a casos de estudio específicos para la construcción de la demanda eléctrica diaria y las curvas de demanda diversificada como herramientas para la planificación del sistema eléctrico y la gestión de la infraestructura eléctrica.

Este artículo tiene como objetivo mostrar el comportamiento de dos edificios de la Universidad Nacional - Bogotá, el Uriel edificio Gutiérrez y la Estación Roberto Franco, para hacer la aproximación a un indicador de consumo final de energía, pudiendo determinar en qué uso final la carga tiene el mayor consumo, teniendo en cuenta que esto puede contribuir a la gestión energía del sistema de la universidad, este artículo utiliza las directrices implementado en la norma ISO 50001

Due to the increasing size of electric power systems and its monitoring and operation needs, people at control rooms face complex situations, analyzing great amounts of information, protocols, operation states, alarms, and control parameters. Additionally, new renewable energy sources data is taking its place nowadays, hindering the process of quickly reading and interpreting information. This is known as the loss of Situational Awareness, SA, of system operators. This work presents proposals for displaying useful information in control rooms and visualization techniques to support accurate SA. Grid data displays, maps, trending graphics, lists, bars graphics, table plots, hierarchical levels, proximity regions, and connections are also proposed and analyzed, presenting an application case in a microgrid control room.