PubAg

Main content area

Drying models to estimate moisture change in switchgrass and corn stover based on weather conditions and swath density

Author:
Khanchi, A., Birrell, S.
Source:
Agricultural and forest meteorology 2017 v.237-238 pp. 1-8
ISSN:
0168-1923
Subject:
Panicum virgatum, biomass, corn stover, correlation, drying, environmental factors, heat, maturity stage, model validation, models, regression analysis, solar radiation, transportation, wind speed
Abstract:
An environmental chamber was built to evaluate the effect of weather parameters and swath density that affect the drying rate of crops during field drying. A series of 52 drying experiments was conducted on corn stover (CS) of which 27 were used for model development and 25 were used for model validation. Similarly, 80 experiments were performed on switchgrass of which 72 were used for model development and eight were used for model validation. Regression models were developed for switchgrass and CS that predicted the drying rate based on environmental conditions and swath density. During the day, radiation was found to be the most significant variable that affected the drying rate of switchgrass with a correlation coefficient (r) of 0.5 and 0.49 during different maturity stages. During the night, VPD was the most significant variable that affected the drying rate with r of 0.69 for corn stover (CS) and 0.83–0.85 for switchgrass. The effect of wind speed was variable and was found to be dependent on solar radiation. During the day time, an increase in wind speed removed the heat produced by radiation and thus decreased the drying rate. However, at night, the wind speed was positively correlated with drying rate. Swath density was negatively correlated (r=−0.38) with the drying rate of switchgrass which suggested that biomass should be dried in wide swaths if possible. The model should be a useful tool for planning field logistics and transportation operations for biomass supply.
Agid:
5625634