Dani uses geospatial analytics to harness the path for a successful cost-competitive, high-performance biofuels, bioproduct and biopower industry in the US. She develops mathematical models and solution algorithms to solve large-scale problems that arise in the areas of transportation, logistics and renewable energy systems. Her interests lie in leveraging operations research approaches constrained by the geographical location of biomass feedstock, inherent biomass composition and decomposition properties, resource allocation limitations, and environmental impacts of harvesting agricultural residues and/or establishing energy crops.

Roles

• Fellows

Publications

• Replacing liquid fossil fuels and hydrocarbon chemical feedstocks with liquid biofuels from large-scale nuclear biorefineries (2021)
• Assessment of Perennial Grass Inventories Predicted in the Billion-Ton Studies (2018)
• GIS-based allocation of herbaceous biomass in biorefineries and depots (2017)
• An Excel-Based Decision Support System for Supply Chain Design and Management of Biofuels (2014)
• A decision support system (DSS) for biomass-to-biofuel supply chain (2013)
• Cost analysis for high-volume and long-haul transportation of densified biomass feedstock (2013)

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