Acta Scientific Agriculture (ASAG)(ISSN: 2581-365X)

Research Article Volume 7 Issue 3

Behavior of Energy Indicators in a Factory of Electric Motors for Agriculture

Maria Rosa Perellada Gamio*

Electrical Engineer, Universidad Agraria de La Habana, Cuba

*Corresponding Author: Maria Rosa Perellada Gamio, Electrical Engineer, Universidad Agraria de La Habana, Cuba.

Received: August 08, 2022; Published: February 02, 2023

Abstract

Energy consumption is part of most of all the processes in the modern world, as such, it has an important participation in agriculture, and it must be rationally used in such a way that its losses are minimal and its cost rational according to the tariff system established in each region.

The objective of this work is to assess the behavior of the indicators associated with the consumption of electrical energy in the manufacturing process of the motors whose final destination will be to be part of the irrigation systems.

To the extent that the production of electrical machines is efficient, it will contribute to the reduction of the costs of the irrigation system for this concept, having a favorable economic impact in obtaining the agricultural product with adequate sustainability.

An electric motor factory that produces this line of equipment for agricultural irrigation in Cuba is taken as a reference, the production analyzes of the factory and its contribution in terms of sustainability and productive chaining of irrigation systems in the country are carried out.

Keywords: Energy, Efficiency, Quality, Sustainability

References

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Citation

Citation: Maria Rosa Perellada Gamio. “Behavior of Energy Indicators in a Factory of Electric Motors for Agriculture". Acta Scientific Agriculture 7.3 (2023): 03-07.

Copyright

Copyright: © 2023 Maria Rosa Perellada Gamio. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate32%
Acceptance to publication20-30 days
Impact Factor1.014

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