Optimal Supply Chain for Biofuel Production under the Water-Energy-Food Nexus Framework Chapter uri icon


  • 2018 Elsevier B.V. This work proposes a mathematical optimization model for the design of a biorefining system through an efficient supply chain considering economic (minimization of the total annual cost) and environmental objectives (minimization of the overall CO2 emissions), through the water-energy-food nexus. The proposed model is a mixedinteger linear programming (MILP) problem, which includes the material flow analysis (MFA) technique in order to simulate the changes that take place in a watershed system impacted by the implementation of the biorefining system and determine the water consumption caused mainly by the production of the feedstock and for the operation of the biorefineries. The methodology is configured to account for the uncertainty inherent to prices of feedstocks and products, biofuel demands, biomass requirements, weather conditions, grain production, etc. Finally, a case study located in Mexico is solved for a set of scenarios with the purpose of illustrating the capabilities of the approach. The results show the trade-offs among the considered objectives impacted by the uncertainty in the biorefinery system.

author list (cited authors)

  • Lpez-Diaz, D. C., Lira-Barragn, L. F., Gonzlez-Campos, J. B., Serna-Gonzlez, M., El-Halwagi, M. M., & Ponce-Ortega, J. M.

citation count

  • 0

complete list of authors

  • López-Diaz, Dulce C||Lira-Barragán, Luis F||González-Campos, J Betzabe||Serna-González, Medardo||El-Halwagi, Mahmoud M||Ponce-Ortega, Jose M

Book Title

  • 13th International Symposium on Process Systems Engineering (PSE 2018)

publication date

  • January 2018