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Identifying energy production opportunities with event-based decision-making for agricultural systems

机译:识别基于事件的农业系统的能源生产机会

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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. Keyfarm 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.
机译:由于天气条件和农场管理不足,主要生产损失经常发生。为了机会分配食品,水和能源,基于事件的决策成为提高系统生产力的关键因素。 Keyfarm事件包括种植,收获,耕作,农药和肥料应用,涵盖作物建立和生物量收获。基于事件的决策的目标是确保这些操作发生在其最大效果。我们的目标是通过应用建模工具优化基于事件的决策,探讨食品和能源系统的成功整合。通过调节玉米收获的机会窗口,生物质收获变得更加柔韧,并且晶粒和生物质损耗都被最小化。伊利诺伊州香槟师案例研究的初步结果表明,当优化玉米收获时间表时,谷物系统效率可以随着颗粒损失而减少。预计两个关键一体化将进一步提高效率,降低系统成本:同时考虑战略和战术决策,以及处理谷物和生物质原料的燃料加工厂。农场和行业企业的利益攸关方可以从综合和更具成本效益的作物残留利用和可再生能源生产方面受益匪浅。

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