
Using aeration technology to manage the moisture content of a stored grain
mass for the purpose of raising its moisture content has long been a
controversial subject. Frequently, soybeans are harvested at low moisture
contents (8 to 10%), and during artificial drying, corn is frequently
overdried. Crops sold at less than market moisture weigh less and thus provide
less revenue than crops sold at market moisture. Any moisture added back to overdried
grain increases the weight of the grain sold. Direct addition of water to any
grain for the purpose of increasing its weight for marketing is considered an
illegal adulteration by
There are significant economic incentives to recondition grain to higher
moisture contents for producers and elevator managers. (Figure
1). Conditioning of low moisture grain during periods of high humidity
is economically desirable but has been considered by many as technically
infeasible. A temperature front moves through grain about 20-30 times faster
than a drying or wetting front. Thus, a typical aeration airflow rate of 0.1
cubic feet of air per minute per bushel of grain (cfm/bu) that is adequate to
complete a temperature change in one week of fan operating time may take six
months to complete a desired moisture change throughout the same lot. However, research
reported by

Figure 1. Economic incentive for adding moisture to soybeans (assuming a constant test weight of 60 lb/bu).
A primary motivation for research into the conditioning of grains and
oilseeds stems from the need of processors of popcorn, food corn, soybeans, and
other crops to achieve moisture contents that are optimum for processing. For
example in popcorn, the popping volume is maximized when kernels are uniformly
conditioned to around 13.5% moisture, while soybean processors prefer an
optimum moisture content around 10.5% for the flaking of beans for oil
extraction. A recent
Aeration is the forced movement of ambient air through stored grain to decrease or increase the grain temperature to the desired level. Although standard design airflow rates of 0.1 cfm/bu or less are generally too low to significantly change grain moistures by more than 0.5 percentage points, excessive aeration can shrink grain, or cause swelling of grain kernels near the air inlet.
The primary conditioning technology available to farmers and elevator managers is the use of forced ambient air from drying or aeration fans installed on grain bins, tanks, flat storages, and concrete silos. The success of a conditioning strategy to achieve a significant moisture change in a bulk of grain depends on the right combination of aeration system design, airflow rate, air and grain conditions, available time, and direction of airflow.
As grain is aerated, its moisture content gradually comes into equilibrium with the surrounding (interstitial) air relative humidity (r.h.). If air temperature increases while r.h. is constant, the grain’s equilibrium moisture content (EMC) will decrease. If r.h. increases at constant temperature, EMC will increase. Knowing the relationship between EMC and air conditions is important in properly managing aeration systems to prevent overdrying, condensation, or absorption.
Aeration based on the EMC of grain is critical for achieving the conditioning objective. A microprocessor (or computer) can be used to calculate EMC from the measured ambient temperature and relative humidity. EMC equations for corn and soybeans are available. Microprocessor- and computer-based aeration controllers are commercially available and can be programmed to achieve a specific target moisture content either by operating fans to reduce or increase the average moisture in the grain mass. The success of such a strategy depends primarily on exposing the grain to the right combination of ambient conditions (temperature and r.h.) for a sufficient length of time.
In order to accomplish a desired outcome, a microprocessor-based controller must reliably sense the air temperature and r.h. to determine the EMC, and be able to provide the right amount of fan operating time for the airflow rate of the system to produce the desired grain temperature and moisture. These sophisticated control strategies require not only reliable sensors that are regularly calibrated, but also programmable microprocessors that are well understood by the user.
A new approach to reconditioning overly dry soybeans was evaluated as part
of a
Four U.S. Corn Belt locations were investigated to determine the number of
hours available to recondition soybeans. The primary concern with respect to
setting certain temperature and relative humidity limits for moisture
conditioning with an automatic fan controller is whether adequate fan run time
is available to achieve the desired moisture content. Weather data between
October and June for the years 1961 to 1990 were analyzed for the number of
available hours when ambient conditions were such that the EMC for soybeans was
above 13% and temperatures were between 26 and 60°F (Table 1).
Table 1. Total run time, range, and standard deviation
(hours) for four
|
|
10/1 - 4/1 |
10/1 - 6/1 |
11/1 - 4/1 |
11/1 - 6/1 |
|
|
2079 1702-2787 273 |
2512 2014-3199 307 |
1760 1302-2448 249 |
2019 1555-2690 276 |
|
|
1614 816-2457 343 |
2054 1005-2949 400 |
1330 573-2016 304 |
1602 721-2309 337 |
|
|
1975 1249-2595 284 |
2438 1463-3196 336 |
1654 875-2195 275 |
1923 1020-2467 312 |
|
|
1868 1249-2595 351 |
2234 1463-3196 424 |
1613 875-2195 315 |
1837 1020-2467 367 |
The limits on the temperatures were chosen to prevent air that was significantly below freezing from entering the bin in the winter and excessively warm air from entering and spoiling wetter soybeans during the spring. An ending date of April 1 was chosen because the number of available hours to run the fan decreased rapidly in the late spring/early summer (Figure 2). Extending the conditioning period beyond June resulted in limited additional run time.

Figure 2. Accumulated run
time for the minimum, maximum and average years for
Using
The average net gain when conditioning soybeans in a farm bin was
significant (Table 2). The market moisture content of 13% was not reached when
the low airflow rate was used. However, the market moisture content was
exceeded when the high airflow rate was used. The net economic gain increased
when partial unloading was used, and the net gain was greater in the more humid
Table 2. Net gain and final average moisture content when rewetting soybeans in a farm bin (30 ft diameter, 30 ft grain depth, 16965 bu) in Indianapolis and Des Moines at two airflow rates (0.13 vs 0.56 cfm/bu at 30 ft grain depth) and for three unloading schedules (results are average, range, and standard deviation over 29 years).
|
|
Low Airflow Rate |
High Airflow Rate |
||||
|
Location |
6 unloads |
3 unloads |
1 unload |
6 unloads |
3 unloads |
1 unload |
|
IN net gain $/bu |
0.133 0.084-0.208 0.029 |
0.13 0.082-0.206 0.028 |
0.0122 0.080-0.193 0.028 |
0.428 0.273-0.552 0.065 |
0.416 0.323-0.513 0.048 |
0.410 0.319-0.505 0.046 |
|
IN final MC, % w.b. |
11.8 11.2-12.7 0.37 |
11.7 11.1-12.7 0.36 |
11.6 11.1-12.5 0.35 |
15.9 14.0-17.4 0.80 |
15.8 14.6-17.1 0.61 |
15.7 14.6-17.0 0.58 |
|
IA net gain, $/bu |
0.096 0.013-0.170 0.035 |
0.081 0.020-0.173 0.031 |
0.074 0.019-0.164 0.029 |
0.356 0.158-0.500 0.073 |
0.334 0.147-0.480 0.068 |
0.329 0.163-0.478 0.066 |
|
IA final MC, % w.b. |
11.3 10.2-12.3 0.45 |
11.1 10.3-12.3 0.40 |
11.0 10.3-12.2 0.38 |
14.9 12.3-16.8 0.95 |
14.7 12.2-16.6 0.90 |
14.6 12.4-16.6 0.87 |
For example, in
The same general trends occurred when reconditioning soybeans in a
commercial tank (Table 3). It is interesting to note that using three unloads
instead of one unload at the low airflow rate led to a slightly lower net
economic gain in both
Table 3. Net gain and final average moisture content when rewetting soybeans in a commercial tank (60 ft diameter, 60 ft grain depth, 135700 bu) in Indianapolis and Des Moines at two airflow rates (0.11 vs 0.22 cfm/bu at 60 ft grain depth) and for three unloading schedules (results are average, range, and standard deviation over 29 years).
|
|
Low Airflow Rate |
High Airflow Rate |
||||
|
Location |
6 unloads |
3 unloads |
1 unload |
6 unloads |
3 unloads |
1 unload |
|
IN net gain $/bu |
0.100 0.039-0.155 0.032 |
0.086 0.050-0.142 0.021 |
0.089 0.054-0.145 0.022 |
0.218 0.109-0.310 0.053 |
0.202 0.134-0.295 0.039 |
0.198 0.137-0.292 0.038 |
|
IN final MC, % w.b. |
11.5 10.7-12.2 0.42 |
11.3 10.8-12.0 0.29 |
11.3 10.9-12.1 0.30 |
13.2 11.8-14.4 0.69 |
13.0 12.1-14.3 0.52 |
13.0 12.2-14.3 0.52 |
|
IA net gain $/bu |
0.063 0.0-0.124 0.027 |
0.050 0.005-0.118 0.023 |
0.051 0.01-0.125 0.024 |
0.154 0.032-0.266 0.051 |
0.133 | |