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Clean Technologies and Environmental Policy

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01.01.2014 | Original Paper

Characterization and stochastic modeling of uncertainties in the biodiesel production

verfasst von: Sheraz Abbasi, Urmila M. Diwekar

Erschienen in: Clean Technologies and Environmental Policy | Ausgabe 1/2014

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Abstract

There are inherent uncertainties in the biodiesel production process arising out of feedstock composition, operating and design parameters and can have significant impact on the product quality and process economics. In this paper, the uncertainties are quantified in the form of probabilistic distribution function. Stochastic modeling capability is implemented in the ASPEN process simulator to take into consideration these uncertainties and the output is evaluated to determine impact on process efficiency and quality of biodiesel.

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Allen CAW, Watts KC, Ackman RG, Pegg MJ (1999) Predicting the viscosity of biodiesel fuels from their fatty acid ester composition. Fuel 78:1319–1326CrossRef

Ataya F, Dube MA, Ternan M (2008a) Transesterification of canola oil to fatty acid methyl ester (FAME) in a continuous flow liquid–liquid packed bed reactor. Energy Fuels 22(5):3551–3556

Ataya F, Dube MA, Ternan M (2008b) Variables affecting the induction period during acid-catalyzed transesterification of canola oil to FAME. Energy Fuels 22(1):679–685CrossRef

Chang AF, Liu YA (2010) Integrated process modeling and product design of biodiesel manufacturing. Ind Eng Chem Res 49:1197–1213CrossRef

Demirbas A (2006) Biodiesel production via non-catalytic SCF method and biodiesel fuel characteristics. Energy Convers Manag 47(15):2271–2282CrossRef

Diwekar UM, Kalagnanam JR (1997) Robust design under uncertainty. AIChE J 43:440–449

Diweker UM, Rubin ES (1991) Stochastic modeling of chemical processes. Comput Chem Eng 15(2):105–114

Dufek EJ, Butterfield RO, Frankel EN (1972) Esterification and transesterification of 9(10)-carboxystearic acid and its methyl esters: kinetic studies. J Am Oil Chem Soc 49:302–310

Dufek EJ, Butterfield RO, Frankel EN (1978) Conversion of methyl 9(10)-formylstearate to carboxymethylstearate. J Am Oil Chem Soc 55(3):337–339

Dunn ROJ (2002) Effect of oxidation under accelerated conditions on fuel properties of methyl soyate (biodiesel). Am Oil Chem Soc 79:915–920CrossRef

Freedman B, Pryde EH, Mounts T (1984) Variables affecting the yields of fatty esters from transesterified vegetable oil. J Am Oil Chem Soc 61:1638–1642CrossRef

Gerpen JV, Shanks B, Pruszko R, Clements D, Knothe G (2004) Biodiesel production technology. National Renewable Energy Labs, Golden, CO, NREL/SR-510-36244

Gerpen JV, Shanks B, Pruszko R, Clements D, Knothe G (2009) Biodiesel handling and use guide. National Renewable Energy Labs, Golden, CO, NREL/TP-540-43672

Hill J, Nelson E, Tilman D, Polasky (2006) Environmental, economic, and energetic costs and benefits of biodiesel and ethanol biofuels. Proc Natl Acad Sci 103(30):11206–11210CrossRef

Huo H, Wang M, Bloyd C, Putsche V (2008) Life-cycle assessment of energy and greenhouse gas effects of soybean-derived biodiesel and renewable fuels. Argonne National Laboratory, Lemont, IL, ANL/ESD/08-2

Kinast JA (2003) Production of biodiesel from multiple feedstocks and properties of biodiesel and biodiesel/blends. National Renewable Energy Labs, Golden, CO, NREL/SR-510-31460

Knothe G (2005) Dependence of Biodiesel Fuel Properties on the Structure of Fatty Acid Alkyl Esters. Fuel Proc. Tech. 86:1059–1070CrossRef

Leevijit L, Prateepchaikul G, Tongurai C, Wisutmethangoon (2008) Performance test of a 6-stage continuous reactor for palm methyl ester production. Bioresour Technol 99(1):214–221CrossRef

Linstromberg WW (1970) Organic chemistry. D.C. Heath and Co., Lexington, pp 129–133

M311K (2008) Fats and oil: production, consumption, and stocks. Current industrial report, United States Census Bureau, Washington D.C

Myint LL, El-Halwagi MM (2008) Process analysis and optimization of biodiesel production from soybean oil. J Clean Technol Environ Policies 11(3):263–276CrossRef

Nocker LD, Spirinckx C, Torfs R (1998) Comparison of LCA and external-cost analysis for biodiesel and diesel. In: 2nd international conference LCA in agriculture agro-industry and forestry

Noureddini H, Zhu D (1997) Kinetics of transesterification of soyabean oil. JAOCS 74:1457–1463

Olivera M, Queimada AJ, Coutinho J (2010) Modeling of biodiesel multicomponent systems with the cubic-plus-association (CPA) equation of state. Ind Eng Chem Res 49(3):1419–1427CrossRef

Papoulis A, Pillai SU (2001) Probability random variables and stochastic processes. McGraw-Hill Science/Engineering/Math, Blacklick

Sheehan J, Camobreco V, Duffield J, Graboski M, Shapouri H (1998) An overview of biodiesel and petroleum diesel life cycles. National Renewable Energy Labs, Golden, CO, NREL/TP-580-24772

Subramanayan K, Diwekar UM (2007) User manual for CAPE-OPEN compliant stochastic simulation capability. VRI CUSTOM

Yuan W, Hansen AC, Zhang Q (2005a) Vapor pressure and normal boiling point predictions for pure methyl esters and biodiesel fuels. Fuel 84(7):943–950CrossRef

Yuan W, Hansen AC, Zhang Q (2005b) Vapor pressure and normal boiling point prediction for pure methyl esters and biodiesel fuels. Fuel 84:943–950CrossRef

Titel: Characterization and stochastic modeling of uncertainties in the biodiesel production
verfasst von: Sheraz Abbasi
Urmila M. Diwekar
Publikationsdatum: 01.01.2014
Verlag: Springer Berlin Heidelberg
Erschienen in: Clean Technologies and Environmental Policy / Ausgabe 1/2014
Print ISSN: 1618-954X
Elektronische ISSN: 1618-9558
DOI: https://doi.org/10.1007/s10098-013-0596-4

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