Authors:
Gerardo José Amador Soto
and
Jesús-Antonio Hernandez-Riveros
Affiliation:
Universidad Nacional de Colombia, Facultad de Minas, Cra. 80 #65-223, Medellín and Colombia
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 effectiv
eness 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.
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