Desenvolvimento de um simulador para representação e análise de cenários de consumo energético

Abstract

This work presents the development of a simulator aimed at representing and analyzing energy consumption scenarios. The objective of this work was to develop a computational simulator capable of representing and analyzing energy consumption scenarios, allowing the configuration of electrical components, the execution of calculations related to electrical quantities, and the visualization of results in a simulated environment. The proposal was based on the need to understand, in a simulated environment, how different configurations of equipment and circuits could affect variables such as power, current, electrical dimensioning, and possible overload conditions. To achieve this, technological development research, grounded in the Design Science Research approach, was conducted to support the construction of a computational artifact, based on concepts related to voltage, current, power, energy consumption, electrical dimensioning, and computational simulation. The simulator was developed using React, TypeScript, Vite, Tailwind CSS, and Electron, allowing it to be used in both web and desktop environments. The tool was designed with the potential to be used as a learning object to support the understanding of concepts related to energy consumption, focusing on scenario creation, insertion and configuration of components, association of equipment with circuits, automatic calculation of power and current, basic dimensioning of conductors and circuit breakers, and presentation of alerts related to inconsistencies. The simulator was limited to the single-phase model and structured to represent scenarios in a visual and interactive way, allowing users to observe the effects of changes made to components, circuits, and configured parameters. As a result, a functional application was delivered, capable of representing different energy consumption conditions in a simulated environment without the need for intervention in a real installation. Thus, this work contributed a computational tool designed to support the analysis of energy consumption scenarios, combining theoretical concepts, practical functionalities, and the potential to be used as a learning object in software compatible with the defined scope.