275682 Integrated Pathway Optimization for Biorefineries

Wednesday, October 31, 2012: 4:55 PM
323 (Convention Center )
Pascual Eduardo Murillo-Alvarado, Chemical Engineering, Universidad Michoacana de Sn Nicolás de Hidalgo, Morelia, Mexico, Ismael Leonardo Razo, Chemical Engineering, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico, Medardo Serna-González, Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacan, Mexico and Mahmoud El-Halwagi, Chemical Engineering, Texas A&M University, College Station, TX

Integrated Pathway Optimization for Biorefineries

Pascual Eduardo Murillo-Alvarado,1 Ismael Leonardo Razo1, José María Ponce-Ortega,1 Medardo Serna-González,1 Mahmoud El-Halwagi2

1Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mich., 58030, México.

2Chemical Engineering Department, Texas A&M University, 3122 College Station, TX, USA, 77843-3122

            The depletion of petrochemical resources in addition to the associated huge green house gas emissions have promoted the use of alternative sources of energy. Biofuels are an innovative alternative source of energy that help to reduce the greenhouse gas emissions. Additionally, biomass can be used to produce a lot of high valued bioproducts in addition to biofules inside a facility called biorefinery through chemical, physical and biological ways. This way, recently several processing routes have been proposed for the biomass conversion considering different row materials; however, due to the huge number of possibilities is difficult to determine the best route to produce a given product from a given feedstock. Recently, several approaches have considered the pathway optimization to obtain a given product from a given feedstock; however, what is missing the simultaneous optimization for the feedstock selection as well as the products and the pathway (see Figure 1). Therefore, this work proposes a new optimization model to find the optimal biorefinery pathway considering the simultaneous optimization for the pathway as well as the optimal selection of feedstocks and the products, the models takes into account the available bioresources as well as the product demands. In addition, the objectives for the optimization model are the simultaneous maximization for the total profit as well as the minimization for the environmental impact considering the greenhouse gas emissions, the number of processing steps is also considered in the optimization process because these are directly related to the associated risk. The optimization model is applied to a case study considering several bioresources and products for the case of Mexico, where can be identified simultaneously the feedstock, products and pathway for the different scenarios analyzed.

Figure 1. Addressed problem.

 


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