ESTIMATING ELECTRICAL ENERGY GENERATION FROM HUMAN MUSCLE EFFORTS
DOI:
https://doi.org/10.24084/repqj20.388Keywords:
Renewable energy, muscle effort, health indicators, harnessing human energy, multiple linear regressionAbstract
This paper aimed to develop a model to estimate the generation of electrical energy through human muscular effort, using a generator bicycle, connected to the electrical grid. The motivation resulted from the author's experience in distributed electrical energy generation, which identified a difficulty in installing photovoltaic solar generation systems on the top of buildings. As a research methodology, this study used multiple linear regression using time, weight, height, and body mass index (BMI) as independent variables. The model showed promising results, presenting a high adjusted R-squared, respecting the assumptions associated with a linear regression model. The simulations based on the model showed a considerable energy generation potential for Brazil. In conclusion, although the estimated regression model presented a high predictive capability, further studies are recommended before any financial investment.