Predicting Field Efficiency of Round-Baling Operations in High-Yielding Biomass Crops

Model simulations for bioenergy harvest planning need to utilize equipment-capacity relationships for equipment operating under the high-yield conditions typical of a biomass crop. These performance assumptions have a direct bearing on the estimates of machine capacity, the number of machines requir...

Full description

Bibliographic Details
Main Authors: Robert “Bobby” Grisso, John S. Cundiff, Erin G. Webb
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:AgriEngineering
Subjects:
Online Access:https://www.mdpi.com/2624-7402/2/3/30
_version_ 1797561649673011200
author Robert “Bobby” Grisso
John S. Cundiff
Erin G. Webb
author_facet Robert “Bobby” Grisso
John S. Cundiff
Erin G. Webb
author_sort Robert “Bobby” Grisso
collection DOAJ
description Model simulations for bioenergy harvest planning need to utilize equipment-capacity relationships for equipment operating under the high-yield conditions typical of a biomass crop. These performance assumptions have a direct bearing on the estimates of machine capacity, the number of machines required, and, therefore, the cost to fulfill the biorefinery plant demands for a given harvest window. Typically, two major issues in these models have been poorly understood: the available time required to complete the harvest operation (often called probability of workdays) and the capacity of the harvest equipment as impacted by yield. Simulations use annual yield estimates, which incorporate weather events, to demonstrate year-to-year effects. Some simulations also incorporate potential yield increases from genetically modified energy crops. There are limited field performance data for most current forage equipment used for harvesting high-yield biomass crops. Analysis shows that the impact of wrap/eject time for round balers resulted in a 50% reduction in achieved throughput capacity (Mg/h). After the maximum throughput is reached, the cost of the round bale operation (3.23 USD/Mg) is double that of the large-square baler (1.63 USD/Mg). The round baler achieved throughput capacity is 50% less (32.7 Mg/h compared to 71.0 Mg/h) than the large-square baler.
first_indexed 2024-03-10T18:16:57Z
format Article
id doaj.art-6eb86e2b92594c519cbaa56763b6ce2f
institution Directory Open Access Journal
issn 2624-7402
language English
last_indexed 2024-03-10T18:16:57Z
publishDate 2020-07-01
publisher MDPI AG
record_format Article
series AgriEngineering
spelling doaj.art-6eb86e2b92594c519cbaa56763b6ce2f2023-11-20T07:36:34ZengMDPI AGAgriEngineering2624-74022020-07-012344745710.3390/agriengineering2030030Predicting Field Efficiency of Round-Baling Operations in High-Yielding Biomass CropsRobert “Bobby” Grisso0John S. Cundiff1Erin G. Webb2Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USABiological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USAEnvironmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USAModel simulations for bioenergy harvest planning need to utilize equipment-capacity relationships for equipment operating under the high-yield conditions typical of a biomass crop. These performance assumptions have a direct bearing on the estimates of machine capacity, the number of machines required, and, therefore, the cost to fulfill the biorefinery plant demands for a given harvest window. Typically, two major issues in these models have been poorly understood: the available time required to complete the harvest operation (often called probability of workdays) and the capacity of the harvest equipment as impacted by yield. Simulations use annual yield estimates, which incorporate weather events, to demonstrate year-to-year effects. Some simulations also incorporate potential yield increases from genetically modified energy crops. There are limited field performance data for most current forage equipment used for harvesting high-yield biomass crops. Analysis shows that the impact of wrap/eject time for round balers resulted in a 50% reduction in achieved throughput capacity (Mg/h). After the maximum throughput is reached, the cost of the round bale operation (3.23 USD/Mg) is double that of the large-square baler (1.63 USD/Mg). The round baler achieved throughput capacity is 50% less (32.7 Mg/h compared to 71.0 Mg/h) than the large-square baler.https://www.mdpi.com/2624-7402/2/3/30balersmachinery modelingenergy cropgeo-referenced dataharvestherbaceous biomass
spellingShingle Robert “Bobby” Grisso
John S. Cundiff
Erin G. Webb
Predicting Field Efficiency of Round-Baling Operations in High-Yielding Biomass Crops
AgriEngineering
balers
machinery modeling
energy crop
geo-referenced data
harvest
herbaceous biomass
title Predicting Field Efficiency of Round-Baling Operations in High-Yielding Biomass Crops
title_full Predicting Field Efficiency of Round-Baling Operations in High-Yielding Biomass Crops
title_fullStr Predicting Field Efficiency of Round-Baling Operations in High-Yielding Biomass Crops
title_full_unstemmed Predicting Field Efficiency of Round-Baling Operations in High-Yielding Biomass Crops
title_short Predicting Field Efficiency of Round-Baling Operations in High-Yielding Biomass Crops
title_sort predicting field efficiency of round baling operations in high yielding biomass crops
topic balers
machinery modeling
energy crop
geo-referenced data
harvest
herbaceous biomass
url https://www.mdpi.com/2624-7402/2/3/30
work_keys_str_mv AT robertbobbygrisso predictingfieldefficiencyofroundbalingoperationsinhighyieldingbiomasscrops
AT johnscundiff predictingfieldefficiencyofroundbalingoperationsinhighyieldingbiomasscrops
AT eringwebb predictingfieldefficiencyofroundbalingoperationsinhighyieldingbiomasscrops