Computational simulation employment to energetic efficiency improvement at a refrigeration system

Authors

  • Ivoni C Jr IFRS - Campus Rio Grande
  • Danilo Barreto de Aguiar Universidade Federal do Rio Grande - FURG
  • Sandro Germano Less Energy LTDA

DOI:

https://doi.org/10.26512/ripe.v5i1.19244

Keywords:

Energy efficiency. computational simulation. variable speed drives. industry refrigeration.

Abstract

Aspects in relationship to the maximization of energy efficiency in industrial installation is a topic of high importance, due to actually exists onerous tariffs of electric energy and any reduction of consumption of this, result in great improvements not just for the industry, but also to the energetic matrix of the country, since large refrigeration units have a high electrical energy consumption. Moreover, with this improvements, in some cases, can be possible achieve through changes in operations conditions, reduction in the consumption of electrical energy. Thereby, this study has the objective to point action to improve the energy efficiency of a refrigeration system that uses NH3 of a refrigerated warehouse, through the use o mathematical modeling and computational simulation of the system in analyze,  utilizing the software EES (Engineering Equation Solver) as a tool to mathematical modeling and do the computational simulations. Furthermore, the electrical motors of the evaporators and condensers are drive with VSDs (variable speed drives). Thus, were evaluated different conditions of regime temperature operation and values of frequency of the VSDs, with aim of obtain the smallest electrical energy consumption, in order to meet the specific conditions of running of the installation. It was identified that the refrigeration system has some water contamination that also impact the consumption of electrical energy. This study demonstrated that without realize none structural modification the refrigeration system, is possible reduce in 9,3% the consumption of electric energy.

Published

2019-01-16

How to Cite

Computational simulation employment to energetic efficiency improvement at a refrigeration system. (2019). Revista Interdisciplinar De Pesquisa Em Engenharia, 5(1), 49-57. https://doi.org/10.26512/ripe.v5i1.19244