Yunzile Dzhelil, T. Mihalev, B. Ivanov, D. Dobrudzhaliev

Mathematical Modeling and Optimization of Supply Chain for Bioethanol

Biofuels today are a good solution in the tendentiously declining stocks of raw materials for conventional fuels. They are used by adding in a certain percentage to usable fuels for transport combustion systems. Their environmental performance is also a good feature in environmental protection. European and global scale, there is an increased use in the coming years, adopted in prescriptions and directives. One of these biofuels is bioethanol, which also finds other applications in the industry and bits. For this purpose, optimal supply chains (SC) are developed, including suitable raw materials, technologies and equipment. This can be done by developing a mathematical model describing the extremely large number of parameters and factors, as well as their limits for real application. Then it is necessary to conduct numerical experiments through multifactorial and multi-critical optimization. The development presents the mathematical model and its software implementation on the GAMS platform. Modeling and optimization has been carried out according to economic and environmental criteria, and the results obtained can be used to build optimal SC for a particular territory – region, state or country.

PDF

___

Balat, M., Balat, H., 2008, Progress in bioethanol processing. Progress in Energy and Combustion Science, 34, 551–573.
Balat, M., Balat, H., 2009, Recent trends in global production and utilization of bioethanol fuel. Applied Energy, 86(11), 2273–2282.
Biofuels in the European Union. A vision for 2030 and beyond- final report of the Biofuels Research Advisory Council, ftp://ftp.cordis.europa.eu/pub/ fp7/energy/docs/ biofuels_vision_2030_en.pdf 2006 [accessed 28.07.08].
Bowling, I.M., Ponce-Ortega, J.M., El-Halwagi, M.M., 2011, Facility location and supply chain optimization for a biorefinery. Industrial&Engineering Chemistry Research 50(10), 6276-6286.
De Meyer, A, Cattrysse, D., Rasinmäki, J., Van Orshoven, J., 2014, Methods to optimise the design and management of biomass-for-bioenergy supply chains. Renewable and Sustainable Energy Reviews 31, 657–670.
Development of an Optimization Model for the Location of Biofuel Production Plants, http://pure.ltu.se/portal/files/2745819/Sylvain_Leduc_DOC2009. pdf, [last visited: Feb. 1, 2014].
Digital Library of National Statistical Institute-Online Catalogue,http://statlib.nsi.bg:8181/FullT/FulltOpen/SRB_7_5_2012_2013.pdf, [last visited: Feb. 1, 2014].
European Commission, Well-to-wheels analysis of future automotive fuels and powertrains in the European context. (Online). (2006), Available from: Accessed July 2011.
European Parliament. Directive 2003/30/CE, eur-lex.europa. eu/LexUriServ/LexUriServ.do?uri¼OJ: L:2003:123:0042:0046: IT:PDF [accessed 28.07.08].
Gupta, H., Kusi-Sarpong, S., Rezaei, J., 2020, Barriers and overcoming strategies to supply chain sustainability innovation. Resources, Conservation and Recycling 161, 104819
Hamelinck, C.N., van Hooijdonk, G., Faaij, A.P.C., 2005, Ethanol from lignocellulosic biomass: techno-economic performance in short-, middle- and long-term. Biomass Bioenergy 28, 384–410.
Rahemi H., Ali Torabi S., Avami A., Jolai F., 2020, Bioethanol supply chain network design considering land characteristics. Renewable and Sustainable Energy Reviews 119, 109517.
Harahap, F., Leduc, S., Mesfun, S., Khatiwada, D., Kraxner, F., Silveira, S., 2020, Meeting the bioenergy targets from palm oil based biorefineries: An optimal configuration in Indonesia. Applied Energy 278, 115749
Hsieh, W.D., Chen, R.H, Wu, T.L, Lin, T.H., 2002. Engine performance and pollutant emission of an SI engine using ethanol–gasoline blended fuels. Atmos Environ 36, 403–410.
http://www.biofuels.apec.org/pdfs/ewg_2010_biofuel-production-cost.pdf. Ivanov B., Dimitrova B., Dobrudzhaliev D., 2013, Optimal location of biodiesel refineries the Bulgarian scale. Journal of Chemical Technology and Metallurgy 48 (5), 513-523.
Ivanov B., Dimitrova B., Dobrudzhaliev D., 2014, Optimal design and planning of biodiesel supply chain considering crop rotation model. Part 2. Location of biodiesel production plants on the Bulgarian scale. Bulgarian Chemical Communications 46(2), 306 – 319.
Kim, S., Dale, B.E., 2005. Environ mental aspects of ethanol derived from no-tilled corn grain: nonrenewable energy consumption and greenhouse gas emissions. Biomass Bioenergy 28(5), 475–489.
Ko, J.K., Lee, J.H., Jung, J.H., Lee, S.M., 2020, Recent advances and future directions in plant and yeast engineering to improve lignocellulosic biofuel production. Renewable and Sustainable Energy Reviews 134, 110390.
Kondili E., Kaldellis J., 2007, Biofuel implementation in East Europe: Current status and future prospects. Renewable and Sustainable Energy Reviews 11, 2137–2151.
Lennartsson P. R., Erlandsson P., Taherzadeh M. J., 2014, Integration of the first and second generation bioethanol processes and the importance of by- products. Bioresource Technology 165, 3–8.
McCarl, B., Meeraus, A., Eijk P., Bussieck M., Dirkse, S., Steacy, P., 2008, McCarl Expanded GAMS user Guide Version 22.9. GAMS Development Corporation.
Miret, C., Chazara, P., Montastruc, L., Negny, S., Domenech, S., 2016, Design of bioethanol green supply chain: Comparison between first and second generation biomass concerning economic, environmental and social criteria. Computers and Chemical Engineering 85, 16–35.
Najafi, G., Ghobadian, B., Tavakoli, T., Buttsworth, D., Yusaf, T., Faizollahnejad, M., 2009, Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network. Applied Energy 86, 630–639.
Osmani A., Zhang J., 2017, Multi-period stochastic optimization of a sustainable multi-feedstock second generation bioethanol supply chain − A logistic case study in Midwestern United States. Land Use Policy 61, 420–450.
REPUBLIC OF BULGARIA National statistical institute, http://www.nsi.bg, [last visited:Feb. 1, 2015].
Sassner, P., Galbe, M., Zacchi, G., 2008, Techno-economic evaluation of bioethanol production from three different lignocellulosic materials. Biomass and Bioenergy 32, 422–430.
Sharma, B., Ingalls, R., Jones, C., Khanchi, A., 2013, Biomass supply chain design and analysis: Basis, overview, modeling, challenges, and future. Renewable and Sustainable Energy Reviews 24, 608–627.
Sun, Y., Cheng, J., 2002, Hydrolysis of lignocellulosic materials for ethanol production: a review. Bioresource Technology 83, 1–11.