Strategic Planning for the Sustainable Production of Biofuels

José María Ponce-Ortega is a full Professor at the Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Mexico. He obtained his Ph.D. and Master degrees in Chemical Engineering from the Institute of Technology of Celaya (Mexico). He previously held posts as a postdoctoral researcher at Texas A&M University, USA, and as a visiting scholar at Carnegie Mellon University, USA. Prof. Ponce-Ortega has published over 300 papers, 4 books, and 50 book chapters. He has also supervised 25 Ph.D. and 40 Master students, and has worked on 15 funded research projects totaling approximately $US 1,000,000.00. He is a member of the editorial boards of Clean Technologies and Environmental Policy and Process Integration and Optimization for Sustainability, and a subject editor for the Sustainable Production and Consumption journal, as well as a member of the National Research System of Mexico. Prof. Ponce-Ortega’s research is in the areas of optimization of chemical processes, sustainable design, energy, mass, water and property integration, and supply chain optimization. Dr. José Ezequiel Santibañez- Aguilar got his Ph.D. and Master degrees in the Chemical Engineering Department in the Universidad Michoacana de San Nicolás de Hidalgo in Mexico in 2016 and 2013, respectively. He stayed as scholar researcher at Texas A&M University and Northwestern University. Currently, he is professor at the Tecnologico de Monterrey in Mexico and he is member of the National Research System of Mexico. His research interest is in the area of optimization of supply chains for biorefineries accounting for the involved sustainability. He has published more than 20 papers and 11 book chapters.

1. Introduction2. Involving environmental aspect in the strategic planning of a biomass conversion system3. Optimal planning and site selection for distributed multiproduct biorefineries involving economic, environmental and social objectives4. Distributed biorefining networks for the valued-added processing of water hyacinth5. Optimization of the supply chain associated to the production of bioethanol from residues of the agave from the tequila process in Mexico6. Financial risk assessment and optimal planning of biofuels supply chains under uncertainty7. Stochastic design of biorefinery supply chains considering economic and environmental objectives8. Mixed-integer dynamic optimization or planning distributed biorefineriesAppendixA. GAMS code for the model of Chapter 2B. GAMS code for the model of Chapter 3C. GAMS code for the model of Chapter 4D. GAMS code for the model of Chapter 6E. GAMS code for the model of Chapter 7F. GAMS code for the model of Chapter 8