Mohammad S. Roni

Techno-economic analysis of decentralized biomass processing depots

Decentralized biomass processing facilities, known as biomass depots, may be necessary to achieve feedstock cost, quantity, and quality required to grow the future U.S. bioeconomy. In this paper, we assess three distinct depot configurations for technical difference and economic performance. The depot designs were chosen to compare and contrast a suite of capabilities that a depot could perform ranging from conventional pelleting to sophisticated pretreatment technologies. Our economic analyses indicate that depot processing costs are likely to range from ∼US

A multi-objective, hub-and-spoke model to design and manage biofuel supply chains

30 to US

Sustainable network design for multi-purpose pellet processing depots under biomass supply uncertainty

63 per dry metric tonne (Mg), depending upon the specific technology implemented and the energy consumption for processing equipment such as grinders and dryers. We conclude that the benefits of integrating depots into the overall biomass feedstock supply chain will outweigh depot processing costs and that incorporation of this technology should be aggressively pursued.

Opportunities and challenges in the design and analysis of biomass supply chains.

In this paper we propose a multi-objective, mixed integer linear programming model to design and manage the supply chain for biofuels. This model captures the trade-offs that exist between costs, environmental and social impacts of delivering biofuels. The in-bound supply chain for biofuel plants relies on a hub-and-spoke structure which optimizes transportation costs of biomass. The model proposed optimizes the

Investigating the future supply distribution of industrial grade wood pellets in the global bioenergy market

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Biomass co-firing technology with policies, challenges, and opportunities: A global review

CO2 emissions due to transportation-related activities in the supply chain. The model also optimizes the social impact of biofuels. The social impacts are evaluated by the number of jobs created. The multi-objective optimization model is solved using an augmented

A hybrid inventory management system responding to regular demand and surge demand

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