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Optimizing Ethanol Production in North Dakota

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  • Taylor, Richard D.
  • Koo, Won W.

Abstract

A spatial equilibrium model based on a non-linear mathematical programming algorithm was developed to determine the optimal number, location, and size of cellulose ethanol plants for North Dakota. The objective function of the model is to minimize processing cost of biomass for ethanol and the transportation cost of shipping biomass to processing plants and ethanol to blending facilities. A heuristic approach, combined with a spatial equilibrium model, was used to determine the optimal number, location and size of biomass processing plants.

Suggested Citation

  • Taylor, Richard D. & Koo, Won W., 2010. "Optimizing Ethanol Production in North Dakota," Agribusiness & Applied Economics Report 91841, North Dakota State University, Department of Agribusiness and Applied Economics.
  • Handle: RePEc:ags:nddaae:91841
    DOI: 10.22004/ag.econ.91841
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    Cited by:

    1. Jason Wood & James Nolan, 2021. "Plant location decisions in the ethanol industry: a dynamic and spatial analysis," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 103-132, June.
    2. Moon, Jin-Young & Apland, Jeffrey & Folle, Solomon & Mulla, David, 2016. "A Watershed Level Economic Analysis of Cellulosic Biofuel Feedstock Production with Consideration of Water Quality," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 5(3).

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    Keywords

    Agribusiness;

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