1. Introduction
Several international engineer organizations
and company clusters like ASHRAE
(American Society for Heating,
Refrigeration and Air Conditioning
Engineers) and ANFIR (National
Association for the Refrigeration Industry
Manufactures in Mexico) have reported that
the perishable product preservation
consumes almost 25% of electric energy [1],
therefore; based on the average efficiency
reported from the equipment use for the cold
chain conservation, in 2016 almost 1 TWh
was wasted, magnitude that represents
1,300.00 Million of USD per hour [2].
The cooling technology expert’s predictions
say that there is at least a 20 years’ gap for
the commercial consolidation of a new
alternative technology for the perishables
preservation. Based on this scenario, there is
still a big importance to perform several
researching efforts focused on the
optimization of the conventional technology
for refrigeration and air conditioning based
on vapor compression [3 – 5].
In this point, several scientific and
technological works have taken place to
increase the energetic performance of these
conventional cooling systems. Some of
them are concentrated on the development
and implementation of new materials for the
thermal isolation of cooling chambers [6, 7].
Important improvements have also been
reported in the alternative cooling
technology development field. These
developments include the regulation of
different physical phenomena, as well as:
thermo-acoustics [8], magneto-caloric
properties [9] or arrangements of electro-
thermal devices [10]. However, as it has
been reported and as the experts have
predicted, these alternative technologies
have not achieved the same thermal load
and time response capacity than the actual
systems based on the vapor compression
refrigeration cycle do [11, 12].
In the same way, to improve the energetic
performance of the conventional cooling
technology, the control engineering has
been involved by trying several strategies,
such as: neural networks [13], fuzzy logic
[14], or adaptive linear controllers [15 - 18].
All these control algorithms are based on the
compressor activation regulation, since
there is only one degree of freedom that the
conventional cooling technology has for the
regulation of its energetic performance.
In order to get more accurate energetic
optimization strategies for the conventional
cooling systems, heat interchange from the
condenser and evaporator units takes
importance [17 - 21]. Here is where the
scientific proposal of this work is grounded,
because it represents the first stage to
develop a control algorithm to regulate the
heat interchange by monitoring the
waveform magnitude from the air flowing
in between of the heat interchangers blades
with not affection to its thermodynamic
performance.
In the next section the fundamentals of the
scientific proposal are described by showing
the mathematical model hypothesis and its
structure. The third section shows the
experimental details and the test results for
the dynamic characterization of the
experimental setup. Finally, in sections four
and five the experimental results are
analyzed and the conclusions are supported
based on these results.