Specifications

190 RK0YG302 © Danfoss 05/2007
Introduction
The system unit in an ADAP-KOOL® refrigeration system contains
overriding functions which transfer signals between selected
controls via the data communication.
Based on the selected function the controllers are gathered in
groups. So when there is override, all controllers in the group will
receive the same override signal.
The system unit must be a:
• Gateway.
Network Control
Operation interface System unit Controllers
P0-/suction pressure optimisation
The override function makes it possible for you to optimise the
suction pressure so that it will be adapted to the system’s actual
load. During the optimisation data are collected that tell you
which refrigeration points are most heavily loaded.
The individual controllers handle the temperature control in the
refrigeration appliances. Some controllers control two, others
three refrigeration points in the same appliance. The load and
operating condition of each refrigeration point are continuously
uploaded to the gateway via the data communication. The
collected data are accumulated here and the ”most heavily
loaded” refrigeration point identied. An adaptation will now be
made of the suction pressure so that the air temperature at the
refrigeration point is maintained. Only after a period of, say, 20
minutes, or if the operating condition of the refrigeration point is
changed (defrost, cutout, etc.) can another refrigeration point be
designated as the ”most heavily loaded one”.
It is the gateway that collects data from the refrigeration
points and it is the gateway that transmits an oset signal to
the compressor control so that the suction pressure reference
is changed to suit the needs at the ”most heavily loaded”
refrigeration point.
The set min./max. limits for the suction pressure will of course be
observed.
The time during which a refrigeration point has been designated
”the most heavily loaded one” will be summed up in a log (history)
in the shape of minutes. These data can be presented in a display
containing ”the last 24 hours” and ”the last 168 hours (one week)”.
The oldest values will continuously be overwritten.
It will typically be the same pattern that is formed on the two
charts, but if ”new ones” emerge and dier from the rest this
should be examined more closely.
Optimisation