Feedstock Logistics + Datasets + BioFuels Atlas + INL Resources + Transportation Networks + Literature + Energy Data Books + Feedstock Harvesting and Preprocessing + Feedstock Transportation to Conversion Plant + Models
The National Renewable Energy Laboratory (NREL) originally developed this application for biopower with funding from the Environmental Protection Agency's Blue Skyways Collaborative. The Department of Energy's Office of Biomass Program provided funding for biofuels functionality. More information on funding agencies is available: http://www.blueskyways.org and http://www.eere.energy.gov/biomass/.
Spatial locations of potential algal farm production sites throughout the United States have been modeled to provide biomass yield, lipid yield, and total evaporative water loss from the open ponds. Full description of model can be found in Wigmosta et al. (2011). Link to paper is included below.
Abstract: To ensure effective biomass feedstock provision for large-scale ethanol production, a three-stage supply chain was proposed to include biomass supply sites, centralized storage and preprocessing (CSP) sites, and biorefi nery sites. A GIS-enabled biomass supply chain optimization model (BioScope) was developed to minimize annual biomass-ethanol production costs by selecting the optimal numbers, locations, and capacities of farms, CSPs, and biorefi neries as well as identifying the optimal biomass fl ow pattern from farms to biorefi neries.
Development and application of BioFeed model for optimization of herbaceous biomass feedstock production
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.
Impact of probability of working day on planning and operation of biomass feedstock production systems
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.
Abstract: Distributed storage and pre-processing of biomass feedstock at satellite storage locations (storage
Abstract: The success of the bioenergy sector depends significantly on ensuring efficient and sustainable biomass feedstock production and provision, which requires a comprehensive systems theory based approach. BioFeed is a system-level model that has been proposed to optimize the feedstock production and provision activities. It has been applied in the past to study switchgrass production in Illinois. This work presents recent additions to the BioFeed model to enable a more accurate representation of various biomass production activities for energy crops.
This paper analyzes the impact that an intermodal facility has on location and transportation decisions for biofuel production plants. Location decisions impact the management of the in bound and out-bound logistics of a plant. We model this supply chain design and management problem as a mixed integer program.
Using densified biomass to produce biofuels has the potential to reduce the cost of delivering biomass to biorefineries. Densified biomass has physical properties similar to grain, and therefore, the transportation system in support of delivering densified biomass to a biorenery is expected to emulate the current grain transportation system. By analyzing transportation costs for products like grain and woodchips, this paper identifies the main factors that impact the delivery cost of densified biomass and quantifies those factors’ impact on transportation costs.