If precise temperature
control, efficient use of energy and consistent quality are important to
you, consider a computer-controlled environment. |
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This
article is reprinted with permission from GM Pro
magazine, where it originally appeared in the February
2000 issue on page 48. For other informative articles on issues that concern the
greenhouse industry, go to GM Pro’s web site by
clicking on the GM Pro logo above. |
By Jeff Woolsey
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Just what is it that sets
computer-controlled environments apart from those controlled by
other means? One thing
is integration. When it comes to regulating environmental conditions in a
greenhouse, integration is central to a computerized system’s
control.
Integration basically means to make into
a whole by bringing all the parts together which is the strength
of a computer-controlled system.
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A computer can collect data from anywhere
in and around the greenhouse that has a sensor and integrate
that information into the overall approach to environmental
control. This applies
to temperature control and humidity control and all of the other
control functions performed by the computer program. |
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Integrated temperature control
Greenhouses have an unusual set of challenges that must be met to control
their environmental temperature. These
challenges include rapid, widely varying changes in solar radiation, preheating
delay of large hot-water-heating systems, adjusting to unknowns that affect heat
loss or gain like shading, and equipment malfunctions and evaporative cooling
effects of plant transpiration.
To make matters worse,
different greenhouse structures and designs have their own ‘personality’
when it comes to how they react to ambient temperature and light
conditions.
Glasshouses collect more
light and heat and lose more heat than poly houses under any set
of conditions. >>
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Different designs of a house’s heating (i.e. unit heaters vs. hot water) and
cooling (i.e. passive vs. active) systems cause them to be more or less
aggressive in their effect on temperature.
These factors, and many others, make no
two house designs the same in their reaction to ambient conditions. This disparity is precisely what makes a
well-integrated control program so effective when it comes to environmental
temperature control.
By monitoring climate conditions,
including outdoor temperature and relative humidity, ambient light levels and
wind speeds, the computer can make ‘intelligent’ choices, and even more
importantly, anticipate future environmental changes. This leads us to the second advantage of
computer-controlled systems: anticipation.
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Impact of greenhouse design
Heating and cooling is often an all-or-nothing occurrence in greenhouses. For example, your cooling system may be running all day, and then
as the sun starts to set, the cooling system shuts down. Within 20 minutes the heating system turns
on. In contrast, under the same ambient
conditions your home or office may be able to maintain a fairly stable
temperature for several hours after sunset.
The reason for the environmental
difference is design. Greenhouses are
designed to provide maximum light transmission as a primary objective. In your home or office, personal comfort,
energy efficiency and appearance are generally more important considerations. Light is a minor factor compared to a
greenhouse.
Because of their designs,
greenhouses collect light energy in much greater quantities than conventional
buildings. Along with the visible light
that is collected are other forms of radiation, including ultraviolet and
infrared. >>
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Infrared radiation causes the heating effect you observe on a bright sunny day,
similar to parking your car in the sun with the windows rolled up.
However, when the light is gone, the process is reversed. The transparent nature of the greenhouse
allows much of the heat to escape in the form of infrared radiation. This is one of the reasons that energy
curtains are installed to save heat. The
curtains reflect much of the radiating heat back into the greenhouse so it
cannot escape.
Because of the greenhouse’s solar
gain/heat loss characteristics, temperature conditions can change very
quickly, even more quickly than the heating and cooling systems can react. For
example, if sunlight is present in great quantities and suddenly disappears (as
when a cloud passes overhead), the effect on the temperature within the zone can
be very rapid, and quite drastic. Thus
the need to anticipate heating and cooling loads
within the zone before conditions change. This is where computer-controlled integration can be very
important.
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Anticipating heating needs
Consider this typical greenhouse situation: your hot-water-heating system is
operating properly when suddenly the outdoor temperature begins to drop as a
strong cold front passes through the area. Since
a hot water heating system has a lot of water in it, it takes time to add more
heat to the water to enable the system to react to the outdoor temperature
change. This resistance to temperature change, both
in the water and greenhouse air is referred to as thermal inertia. >>
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The heating system must react to the falling temperatures. If
there is a delay until the temperature change is measured by the
zone’s air temperature probe (this is the usual method), the
heating system loses ground and spends the next few hours
catching up trying to provide more heat. If however, the program anticipates
the added heat load immediately and automatically raises the
water as the
temperature is dropping, the result is that proper temperature is maintained
in the zone. |
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Resistance to temperature change
A hot-water system is not the only one that can benefit from anticipatory
control, although the effect is often most pronounced within this type of
system.
Greenhouses, simply because of their
sheer volume and size, have their own thermal inertia or resistance to
temperature change that has to be overcome.
In addition, heating and cooling systems have some inertia (both thermal
and mechanical), which is usually less than that of a hot or chilled water
system. >>
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This creates a twofold challenge for the control program: to
overcome the inertia in the first place, and then controlling it
so as not to exceed the actual heating or cooling demand.
Think of this thermal or mechanical
inertia as a large boulder that you’re trying to move. It’s hard to get it rolling, but once you
do, you must be careful or it might roll right over you. This is why anticipatory algorithms were
developed. |
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Anticipatory algorithms
An algorithm is a step-by-step problem-solving formula widely used by
computer programmers and engineers. An anticipatory algorithm integrates all of
the environmental and ambient conditions that are known to affect your heating
and cooling programs, and makes changes to the system before the boulder
rolls you over, so to speak. >>
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By reacting before a temperature change is measured by the
greenhouse air temperature probe, you are able to maintain the
temperature within the zone, regardless of drastic changes in
ambient conditions. |
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How does it work?
If you go back to the example of the hot water heating system and the
falling outdoor temperatures, see the chart below to see an example of an
anticipatory response to these conditions:
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An
environmental computer that anticipates greenhouse
heating/cooling needs ensures no drastic changes occur to the
zone air temperature. |
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In the graph, that the hot water heating
target for this zone is almost a mirror image of the outdoor temperature,
although it rises when the outdoor temperature falls, and vice-versa. This
happens instantaneously as the outdoor temperature changes. Because accompanying changes are being anticipated, there is
virtually no change at the zone’s air temperature probe (represented by the
black line).
Without anticipatory heating and
cooling, there would be more exaggerated peaks and valleys in the zone’s air
temperature, as the system tries to catch-up to the changing ambient
conditions. >>
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The graph only shows one
of the factors being calculated in the anticipatory algorithm. At the same time, it is also checking wind
speed, which raises the heat loss of a structure, and the ambient light level,
which lowers heat load.
For anticipatory cooling, ambient
light and outdoor temperature and humidity, which affects the performance of
evaporative cooling systems, are generally monitored.
The computer will also make appropriate
adjustments even if a vent is leaking, a heat curtain is torn or an exhaust fan
loses a belt. The zone’s temperature
will be maintained even in an imperfect world.
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Is this what you need?
Do you really need
such precise temperature control? Only
you can best answer that question. With
an anticipatory program you can precisely control virtually any greenhouse
heating and cooling system with a minimal energy outlay.
Here are some of the benefits of
anticipatory heating and cooling:
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Crop quality is
improved because plants are exposed to very similar,
predictable, temperature conditions throughout the
production cycle, and from season-to-season.
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Graphical
tracking is more precise because average daily temperatures
and DIF (difference in day and night) temperatures are
maintained within a tighter margin. >>
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Improved energy efficiency is
achieved by eliminating over-heating and -cooling that is
often caused by some control programs’ tendency to over
compensate after the system catches up.
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There is less
wear and tear on equipment since the program tends to find
the ideal stage or target right away, and makes adjustments
only as conditions warrant.
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Eliminates lag
times on hot-water-heating systems.
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Minimizes
thermal shock to boilers by adding heat load more gradually
because the program immediately anticipates needed heat as it is happening.
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Won’t overcome deficiencies
There is one big caution – an anticipatory program or any other computer
program cannot overcome mechanical or engineering deficiencies in your
heating and cooling systems. If your heating or cooling systems are
undersized, these programs cannot fix that. They
can only do a better job within the physical capabilities of your system.
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| Jeff Woolsey is senior technical services
representative, HortiMaX USA Inc. |