Supply chain designs and management for biocrude production via wastewater treatment

The objective of this study is to design and evaluate the performance of the supply chain for biocrude production from activated sewage sludge in wastewater treatment facilities. Experimental results indicate that feeding wastewater activated sludge with high sugar load and establishing a high carbon-to-nitrogen ratio in the wastewater can enhance biocrude yield and quality from the sludge. The biocrude will be further refined and converted to biodiesel. The optimization part, of the optimization-simulation framework that we propose, uses a mixed integer program to identify locations for sugar plants as well as the assignment of wastewater treatment plants to sugar plants and refineries. The objective is to minimize total supply chain related costs. We use the solution from the optimization model (the structure of the supply chain) to build a discrete-event simulation model. The simulation captures the seasonal and random nature of biomass supply. We use a case study that designs the supply chain for biocrude in Mississippi given the availability of lignocellulosic biomass, the locations of harvesting sites, location of wastewater treatment plants, and location of refineries. © 2011 American Institute of Chemical Engineers Environ Prog, 32: 139–147, 2013.

[1]  Rafael Hernandez,et al.  Biodiesel production by in situ transesterification of municipal primary and secondary sludges. , 2009, Bioresource technology.

[2]  Hongwei Ding,et al.  A simulation-based optimization method for production-distribution network design , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[3]  K. Ishii,et al.  Degradation of chlorinated dioxin in denitrifying activated sludge from leachate treatment plant of a landfill , 2004 .

[4]  R. M. Mol,et al.  Simulation and optimization of the logistics of biomass fuel collection , 1997 .

[5]  Donald L. Grebner,et al.  Woody biomass availability for bioethanol conversion in Mississippi , 2009 .

[6]  R. Huhnke,et al.  Integrative Investment Appraisal of a Lignocellulosic Biomass-to-Ethanol Industry , 2003 .

[7]  Nejat Karabakal,et al.  Supply-Chain Analysis at Volkswagen of America , 2000, Interfaces.

[8]  Robert H. Davis,et al.  Cellulase retention and sugar removal by membrane ultrafiltration during lignocellulosic biomass hydrolysis , 2004, Applied biochemistry and biotechnology.

[9]  John S. Cundiff,et al.  Cotton logistics as a model for a biomass transportation system , 2008 .

[10]  G. Reiner,et al.  Customized supply chain design: Problems and alternatives for a production company in the food industry. A simulation based analysis , 2004 .

[11]  Rafael Hernandez,et al.  Extraction of Lipids from Municipal Wastewater Plant Microorganisms for Production of Biodiesel , 2007 .

[12]  Amit Kumar,et al.  Development and implementation of integrated biomass supply analysis and logistics model (IBSAL) , 2006 .

[13]  Sergio Cavalieri,et al.  Simulation in the supply chain context: a survey , 2004, Comput. Ind..

[14]  Shahab Sokhansanj,et al.  Logistics of supplying biomass from a mountain pine beetle-infested forest to a power plant in British Columbia , 2009 .

[15]  Sharif H. Melouk,et al.  A simulation-optimization approach for integrated sourcing and inventory decisions , 2010, Comput. Oper. Res..

[16]  Sandra Duni Eksioglu,et al.  Analyzing the design and management of biomass-to-biorefinery supply chain , 2009, Comput. Ind. Eng..