Abstract: Unfavorable weather can significantly impact the production and provision of agriculture-based biomass feedstocks such as Miscanthus and switchgrass. This work quantified the impact of regional weather on the feedstock production systems using the BioFeed modeling framework. Weather effects were incorporated in BioFeed by including the probability of working day (pwd) parameter in the model, which defined the fraction of days in a specific period such as two weeks that were suitable for field operations.
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Abstract: Distributed storage and pre-processing of biomass feedstock at satellite storage locations (storage
Large-scale modeling systems have long been viewed as potentially valuable tools for evaluating farm policy. They have received increased attention in recent years, in part because of the added complexity of U.S. farm programs and the fuller integration of the U.S. farm sector with nonfarm sectors and world agricultural commodity markets. Instability in the world economy, changed macroeconomic policies, credit and debt positions, and agricultural trade regulations have significant impacts on U.S. agriculture in the short run and more pronounced long-run implications.
An efficient and sustainable biomass feedstock production system is critical for the success of the biomass based energy sector. An integrated systems analysis framework to coordinate various feedstock production related activities is, therefore, highly desirable. This article presents research conducted towards the creation of such a framework.