TY - CONF
T1 - Identifying energy production opportunities with event-based decision-making for agricultural systems
AU - de Oliveira, Ana Paula Spranger Correia
AU - Rodríguez, Luis F.
AU - Peterson, Chelsea M.
AU - Uen, Tinn Shuan
N1 - We'd like to thank the Center for Digital Agriculture at Illinois for partially funding this project, and Richard B. Sowers and Stanley Solomon Jr. for useful discussions on event-based farm management.
PY - 2020
Y1 - 2020
N2 - Primary production losses often occur due to uncertainties in weather conditions and poor farm management. To opportunely allocate Food, Water and Energy resources, event-based decision-making becomes a key factor in improving system productivity. Key farm events include planting, harvesting, tillage, pesticide and fertilizer applications, cover crop establishment, and biomass harvesting. The objective of event-based decision making is to ensure these operations occur to their maximum effect. Our goal is to explore a successful integration of Food and Energy systems by applying modeling tools to optimize the grain-biomass-fuel supply chain with event-based decision making. By adjusting the window of opportunity for corn harvesting, biomass harvesting becomes more flexible, and both grain and biomass losses are minimized. Preliminary results from a case study in Champaign, Illinois, show that grain system efficiency can be increased as grain losses can be reduced when corn harvesting schedules are optimized. Two key integrations are expected to further increase efficiency and reduce system costs: strategic and tactical decisions being simultaneously considered, as well as fuel processing plants that process both grain and biomass feedstocks. Stakeholders in the farm and industry businesses could greatly benefit from an integrated and more cost-efficient approach for crop residue utilization and renewable energy production.
AB - Primary production losses often occur due to uncertainties in weather conditions and poor farm management. To opportunely allocate Food, Water and Energy resources, event-based decision-making becomes a key factor in improving system productivity. Key farm events include planting, harvesting, tillage, pesticide and fertilizer applications, cover crop establishment, and biomass harvesting. The objective of event-based decision making is to ensure these operations occur to their maximum effect. Our goal is to explore a successful integration of Food and Energy systems by applying modeling tools to optimize the grain-biomass-fuel supply chain with event-based decision making. By adjusting the window of opportunity for corn harvesting, biomass harvesting becomes more flexible, and both grain and biomass losses are minimized. Preliminary results from a case study in Champaign, Illinois, show that grain system efficiency can be increased as grain losses can be reduced when corn harvesting schedules are optimized. Two key integrations are expected to further increase efficiency and reduce system costs: strategic and tactical decisions being simultaneously considered, as well as fuel processing plants that process both grain and biomass feedstocks. Stakeholders in the farm and industry businesses could greatly benefit from an integrated and more cost-efficient approach for crop residue utilization and renewable energy production.
KW - Biomass logistics
KW - Mixed integer programming
KW - Optimization
KW - Supply chain management
UR - http://www.scopus.com/inward/record.url?scp=85096581441&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85096581441&partnerID=8YFLogxK
U2 - 10.13031/aim.202001154
DO - 10.13031/aim.202001154
M3 - Paper
AN - SCOPUS:85096581441
T2 - 2020 ASABE Annual International Meeting
Y2 - 13 July 2020 through 15 July 2020
ER -