ESTIMATING ELECTRICAL ENERGY GENERATION FROM HUMAN MUSCLE EFFORTS

Authors

  • R. Halfeld Author
  • R. Castro Author
  • M. Cohen Author
  • E. Castro Author

DOI:

https://doi.org/10.24084/repqj20.388

Keywords:

Renewable energy, muscle effort, health indicators, harnessing human energy, multiple linear regression

Abstract

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.

Author Biographies

  • R. Halfeld

    Postgraduate program of Metrology, Quality, Innovation and Sustainability 
    Pós-MQI, PUC-RIO 
    Campus of Rio de Janeiro – RJ, 22541-041 (Brazil) 

  • R. Castro

    Postgraduate program of Metrology, Quality, Innovation and Sustainability 
    Pós-MQI, PUC-RIO 
    Campus of Rio de Janeiro – RJ, 22541-041 (Brazil) 

  • M. Cohen

    Production Engineering Department, Federal Fluminense University, 27255-125, Volta Redonda – RJ, Brazil

  • E. Castro

    Postgraduate program of Metrology, Quality, Innovation and Sustainability 
    Pós-MQI, PUC-RIO 
    Campus of Rio de Janeiro – RJ, 22541-041 (Brazil)

Published

2024-01-03

Issue

Section

Articles