Thermoelectric generation with reduced pollutants made possible by bio-inspired computing

Abstract

The debate to establish a balance between the generation of electricity and the preservation of the environment is, extraordinarily, important. This article proposes, as a short-term solution, the replacement of diesel oil by natural gas in thermoelectric generation. Natural gas emits 75% less pollutants to the environment than diesel and has a similar energetic efficiency. As a strategy for this replacement to occur safely, the computational modeling was developed in a Bioinspired Computing methodology, called Genetic Algorithm (GA). The GA incorporated all the variables of the electricity and natural gas networks, presented in the mathematical modeling. The result was a significant reduction in the level of pollutants emitted, with high stability in the electrical power system.

Properties of flexural and impact of matrix composites polyester reinforced with short lignocellulosic fibers

“…Costa D. C. L. et al (2020), computer simulation is an essential strategy for this type of study. One of the main purposes is the delimitation of ideal values to the variables that model a phenomenon.ForCosta, H. A. de O. et al (2021a), computer simulation allows the production of operational scenarios in complex systems, demonstrating the importance of the interdisciplinarity of academic knowledge of Mathematics, Physics and Computer Science, providing a modeling of engineering problems.InCosta, H. A. de O. et al (2021b), the computational simulation is presented for the execution of a model composed by the Genetic Algorithm (GA) and by the Particle Swarm Optimization (PSO), aided by parallel computing methods Costa D. C. L. et al (2022),. apply methods of Bio-Inspired Computing in computer simulations with the objective of estimating scenarios that establish a balance between the generation of electric energy and the preservation of the environment.…”