Download PDFOpen PDF in browser

Electric Motor Consumption and Condition Monitoring with IoT

EasyChair Preprint no. 13962

6 pagesDate: July 13, 2024

Abstract

In the context of Industry 4.0, the industrial landscape is facing significant challenges related to energy consumption and environmental responsibility. The energy demand of electric motors accounts for approximately 70% of the electricity consumption in industries. As the industries strives to reduce its carbon footprint and bolster sustainable practices, the efficient operation and monitoring of industrial assets have become paramount. This paper explores the symbiotic relationship among Industry 4.0, energy efficiency, and environmental responsibility within the industrial context and presents an assets digital condition monitoring solution to estimate energy consumption and CO2 emissions from electric motors, in addition to practical cases. It underscores the importance of adopting smart technologies for asset monitoring and highlights the competitive edge gained through comprehensive insights into carbon emissions, further reinforcing the significance of Environmental, Social and Governance (ESG) cosiderations in today's corporate landscape.

Keyphrases: CO2 emissions, condition monitoring, electric motors, energy consumption, ESG, Industry 4.0, IoT

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:13962,
  author = {Santiago Viertel and Paulo Andre de Souza and Felipe Nunes and Carlos Mecking and Lucas Henrique dos Santos Tavares and Hugo Gustavo Gomez Mello},
  title = {Electric Motor Consumption and Condition Monitoring with IoT},
  howpublished = {EasyChair Preprint no. 13962},

  year = {EasyChair, 2024}}
Download PDFOpen PDF in browser