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http://dx.doi.org/10.9713/kcer.2020.58.3.396

Optimization of Microalgae-Based Biodiesel Supply Chain Network Under the Uncertainty in Supplying Carbon Dioxide  

Ahn, Yuchan (Green Materials & Processes R&D Group, Korea Institute of Industrial Technology)
Kim, Junghwan (Green Materials & Processes R&D Group, Korea Institute of Industrial Technology)
Han, Jeehoon (School of Semiconductor and Chemical Engineering, Jeonbuk National University)
Publication Information
Korean Chemical Engineering Research / v.58, no.3, 2020 , pp. 396-407 More about this Journal
Abstract
As fossil fuels are depleted worldwide, alternative resources is required to replace fossil fuels, and biofuels are in the spotlight as alternative resources. Biofuels are produced from biomass, which is a renewable resource to produce biofuels or bio-chemicals. Especially, in order to substitute fossil fuels, the research focusing the biofuel (biodiesel) production based on CO2 and biomass achieves more attention recently. To produce biomass-based biodiesel, the development of a supply chain network is required considering the amounts of feedstocks (ex, CO2 and water) required producing biodiesel, potential locations and capacities of bio-refineries, and transportations of biodiesel produced at biorefineries to demand cities. Although many studies of the biomass-based biodiesel supply chain network are performed, there are few types of research handled the uncertainty in CO2 supply which influences the optimal strategies of microalgae-based biodiesel production. Because CO2, which is used in the production of microalgae-based biodiesel as one of important resources, is captured from the off-gases emitted in power plants, the uncertainty in CO2 supply from power plants has big impacts on the optimal configuration of the biodiesel supply chain network. Therefore, in this study, to handle those issues, we develop the two-stage stochastic model to determine the optimal strategies of the biodiesel supply chain network considering the uncertainty in CO2 supply. The goal of the proposed model is to minimize the expected total cost of the biodiesel supply chain network considering the uncertain CO2 supply as well as satisfy diesel demands at each city. This model conducted a case study satisfying 10% diesel demand in the Republic of Korea. The overall cost of the stochastic model (US$ 12.9/gallon·y) is slightly higher (23%) than that of the deterministic model (US$ 10.5/gallon·y). Fluctuations in CO2 supply (stochastic model) had a significant impact on the optimal strategies of the biodiesel supply network.
Keywords
Microalgae; Biodiesel; Supply chain network; Carbon dioxide; Uncertainty; Optimization;
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1 Holloway, S., "Underground Sequestration of Carbon Dioxide-a Viable Greenhouse Gas Mitigation Option," Energy, 30(11-12), 2318-2333(2005).   DOI
2 Sims, R. E., "Renewable Energy: a Response to Climate Change," Sol. Energy, 76(1-3), 9-17(2004).   DOI
3 Han, J. H., Ahn, Y. C., Lee, J. U., and Lee, I. B., "Optimal Strategy for Carbon Capture and Storage Infrastructure: A Review," Korean J. Chem. Eng., 29(8), 975-984(2012).   DOI
4 de Gorter, H. and Y. Tsur, "Cost-benefit Tests for GHG Emissions from Biofuel Production," Eur. Rev. Agric. Econ., 37(2), 133-145 (2010).   DOI
5 Kauffman, N., Hayes, D. and Brown, R., "A Life Cycle Assessment of Advanced Biofuel Production from a Hectare of Corn," Fuel, 90(11), 3306-3314(2011).   DOI
6 Huang, Y., Chen, C.-W. and Fan, Y., "Multistage Optimization of the Supply Chains of Biofuels," Transp. Res. Pt. e-Logist. Transp. Rev., 46(6), 820-830(2010).   DOI
7 Sharifzadeh, M., Garcia, M. C. and Shah, N., "Supply Chain Network Design and Operation: Systematic Decision-making for Centralized, Distributed, and Mobile Biofuel Production Using Mixed Integer Linear Programming (MILP) Under Uncertainty," Biomass Bioenerg., 81, 401-414(2015).   DOI
8 Lim, M. K. and Ouyang, Y., "Biofuel Supply Chain Network Design and Operations, in Environmentally Responsible Supply Chains," Springer. p. 143-162(2016).
9 Kim, J., Realff, M. J., Lee, J. H., Whittaker, C. and Furtner, L., "Design of Biomass Processing Network for Biofuel Production Using an MILP Model," Biomass Bioenerg., 35(2), 853-871(2011).   DOI
10 Yu, J., Lee, I. B., Han, J. and Ahn, Y., "Stochastic Approach to Optimize the Supply Chain Network of Microalga-Derived Biodiesel under Uncertain Diesel Demand," J. Chem. Eng. Jpn., 53(1), 24-35( 2020).   DOI
11 Kim, J., Johnson, T. A., Miller, J. E., Stechel, E. B. and Maravelias, C. T., "Fuel Production from $CO_2$ Using Solar-thermal Energy: System Level Analysis," Energy Environ. Sci., 5(9), 8417-8429(2012).   DOI
12 Ahn, Y. C., Lee, I. B., Lee, K. H. and Han, J. H., "Strategic Planning Design of Microalgae Biomass-to-biodiesel Supply Chain Network: Multi-period Deterministic Model," Appl. Energy., 154, 528-542(2015).   DOI
13 Kim, J., Lee, Y. and Moon, I., "Optimization of a Hydrogen Supply Chain Under Demand Uncertainty," Int. J. Hydrog. Energy, 33(18), 4715-4729(2008).   DOI
14 Han, J., Sen, S. M., Luterbacher, J. S., Alonso, D. M., Dumesic, J. A. and Maravelias, C. T., "Process Systems Engineering Studies for the Synthesis of Catalytic Biomass-to-fuels Strategies," Comput. Chem. Eng., 81, 57-69(2015).   DOI
15 Byun, J. and Han, J., "Catalytic Production of Biofuels (butene oligomers) and Biochemicals (tetrahydrofurfuryl alcohol) from Corn Stover," Bioresour. Technol., 211, 360-366(2016).   DOI
16 Byun, J. and Han, J., "An Integrated Strategy for Catalytic Co-Production of Jet Fuel Range Alkenes, Tetrahydrofurfuryl Alcohol, and 1, 2-pentanediol from Lignocellulosic Biomass," Green Chem., 19(21), 5214-5229(2017).   DOI
17 Davis, R., Aden, A. and Pienkos, P. T., "Techno-economic Analysis of Autotrophic Microalgae for Fuel Production," Appl. Energy, 88(10), 3524-3531(2011).   DOI
18 Byun, J., Ahn, Y., Kim, J., Kim, J. R., Jeong, S. Y., Kim, B. S., Kim, H. J. and Han, J., "Integrated Process for Electrocatalytic Conversion of Glycerol to Chemicals and Catalytic Conversion of Corn Stover to Fuels," Energy Conv. Manag., 163, 180-186(2018).   DOI
19 An, H., Wilhelm, W. E. and Searcy, S. W., "Biofuel and Petroleum-based Fuel Supply Chain Research: a Literature Review," Biomass Bioenerg., 35(9), 3763-3774(2011).   DOI
20 Delrue, F., Li-Beisson, Y., Setier, P. A., Sahut, C., Roubaud, A., Froment, A. K. and Peltier, G., "Comparison of Various Microalgae Liquid Biofuel Production Pathways Based on Energetic, Economic and Environmental Criteria," Bioresour. Technol., 136, 205-212 (2013).   DOI
21 Batan, L. Y., Graff, G. D. and Bradley, T. H., "Techno-economic and Monte Carlo Probabilistic Analysis of Microalgae Biofuel Production System," Bioresour. Technol., 219, 45-52(2016).   DOI
22 Alam, M. A., Wang, Z. and Yuan, Z., "Generation and Harvesting of Microalgae Biomass for Biofuel Production, in Prospects and Challenges in Algal Biotechnology," 2017, Springer. p. 89-111.
23 Zabaniotou, A. and Andreou, K., "Development of Alternative Energy Sources for GHG Emissions Reduction in the Textile Industry by Energy Recovery from Cotton Ginning Waste," J. Clean Prod., 18(8), 784-790(2010).   DOI
24 Chakraborty, S., Aggarwal, V., Mukherjee, D. and Andras, K., "Biomass to Biofuel: a Review on Production Technology," Asia-Pac. J. Chem. Eng., 7, S254-S262(2012).   DOI
25 Ho, D. P., Ngo, H. H. and Guo, W., "A Mini Review on Renewable Sources for Biofuel," Bioresour. Technol., 169, 742-749(2014).   DOI
26 Vassilev, S.V. and Vassileva, C. G., "Composition, Properties and Challenges of Algae Biomass for Biofuel Application: An Overview," Fuel, 181, 1-33(2016).   DOI
27 Alam, F., Mobin, S. and Chowdhury, H., "Third Generation Biofuel from Algae," Procedia Eng., 105, 763-768(2015).   DOI
28 Shemfe, M. B., Gu, S. and Ranganathan, P., "Techno-economic Performance Analysis of Biofuel Production and Miniature Electric Power Generation from Biomass Fast Pyrolysis and Bio-oil Upgrading," Fuel, 143, 361-372(2015).   DOI
29 Anex, R. P., Aden, A., Kazi, F. K., Fortman, J., Swanson, R. M., Wright, M. M., Satrio, J. A., Brown, R. C., Daugaard, D. E., Platon, A. and Kothandaraman, G., "Techno-economic Comparison of Biomass-to-transportation Fuels Via Pyrolysis, Gasification, and Biochemical Pathways," Fuel, 89, S29-S35(2010).   DOI
30 Han, J., Luterbacher, J.S., Alonso, D.M., Dumesic, J.A. and Maravelias, C.T., "A lignoCellulosic Ethanol Strategy via Nonenzymatic Sugar Production: Process Synthesis and Analysis," Bioresour. Technol., 182, 258-266(2015).   DOI
31 Vuarnoz, D., Kitanovski, A., Gonin, C., Borgeaud, Y., Delessert, M., Meinen, M. and Egolf, P. W., "Quantitative Feasibility Study of Magnetocaloric Energy Conversion Utilizing Industrial Waste Heat," Appl. Energy, 100, 229-237(2012).   DOI
32 Thilakaratne, R., Wright, M. M. and Brown, R. C., "A Technoeconomic Analysis of Microalgae Remnant Catalytic Pyrolysis and Upgrading to Fuels," Fuel, 128, 104-112(2014).   DOI
33 Dutta, S., Neto, F. and Coelho, M. C., "Microalgae Biofuels: A Comparative Study on Techno-economic Analysis & Life-cycle Assessment," Algal Res., 20, 44-52(2016).   DOI
34 Xin, C., Addy, M. M., Zhao, J., Cheng, Y., Cheng, S., Mu, D., Liu, Y., Ding, R., Chen, P. and Ruan, R., "Comprehensive Technoeconomic Analysis of Wastewater-based Algal Biofuel Production: a Case Study," Bioresour. Technol., 211, 584-593(2016).   DOI
35 Ou, L., Thilakaratne, R., Brown, R. C. and Wright, M. M., "Technoeconomic Analysis of Transportation Fuels from Defatted Microalgae via Hydrothermal Liquefaction and Hydroprocessing," Biomass Bioenerg., 72, 45-54(2015).   DOI
36 Kim, S. H., Yoon, S. G., Chae, S. H. and Park, S., "Economic and Environmental Optimization of a Multi-site Utility Network For an Industrial Complex," J. Environ. Manage., 91(3), 690-705 (2010).   DOI
37 Rudberg, M., Waldemarsson, M. and Lidestam, H., "Strategic Perspectives on Energy Management: A Case Study in the Process Industry," Appl. Energy, 104, 487-496(2013).   DOI
38 Han, J.-H., Ahn, Y.-C. and Lee, I.-B., "A Multi-objective Optimization Model for Sustainable Electricity Generation and $CO_{2}$ Mitigation (EGCM) Infrastructure Design Considering Economic Profit and Financial Risk," Appl. Energy, 95, 186-195(2012).   DOI
39 Han, J.-H. and Lee, I.-B., "A Systematic Process Integration Framework for the Optimal Design and Techno-economic Performance Analysis of Energy Supply and $CO_2$ Mitigation Strategies," Appl. Energy, 125, 136-146(2014).   DOI