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Authors: Gerardo Soto and Jesús-Antonio Hernandez-Riveros

Affiliation: Universidad Nacional de Colombia, Facultad de Minas, Cra. 80 #65-223, Medellín and Colombia

ISBN: 978-989-758-380-3

Keyword(s): Refrigeration, Adaptive and Learning Systems, Controller Design, Evolutionary Algorithms, Split Range Control, Multiobjective Control.

Related Ontology Subjects/Areas/Topics: Energy Efficiency and Green Manufacturing ; Evolutionary Computation and Control ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Modeling, Analysis and Control of Hybrid Dynamical Systems ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: Every year more than 80 million units of domestic refrigerators are produced worldwide. Hundreds of millions are used continuously so the impact on electricity is significant. Typical initiatives in energy efficiency for refrigeration systems are aimed at: a) redesigns b) new materials and c) good use practices. A different approach in energy efficiency for Vapour Compression Refrigeration Systems (VCRS) is the implementation of control strategies that directly reduce energy consumption while guaranteeing operating conditions. The difficulty lies in the multiple energy domains of the system (electric/mechanical/hydraulic/thermal), high coupling, multiplicity of variables, strong non-linearity and non-stationary regime. This paper focuses on increasing the energy efficiency of a VCRS with the implementation of an optimal split range and multi-objective evolutionary control. The evolutionary control is expanded to variable speed compressors and electronic expansion valves. The effective ness of the evolutionary method was demonstrated through the Benchmarking of the IFAC. Now, in the multi-domain model of the VCRS, the MAGO algorithm is applied to optimally tune a split range controller to achieve a more precise behaviour and multi-objective to save energy. The cases studied go from traditional control to multivariable and multivariable-multi-objective control, the results in energy saving are outstanding. (More)

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Paper citation in several formats:
Soto, G. and Hernandez-Riveros, J. (2019). Evolutionary Split Range Controller for a Refrigeration System.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 341-351. DOI: 10.5220/0007930803410351

@conference{icinco19,
author={Gerardo José Amador Soto. and Jesús{-}Antonio Hernandez{-}Riveros.},
title={Evolutionary Split Range Controller for a Refrigeration System},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={341-351},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007930803410351},
isbn={978-989-758-380-3},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Evolutionary Split Range Controller for a Refrigeration System
SN - 978-989-758-380-3
AU - Soto, G.
AU - Hernandez-Riveros, J.
PY - 2019
SP - 341
EP - 351
DO - 10.5220/0007930803410351

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