Abstract
In this chapter, the importance of risk assessment in biodiesel-based economy is first discussed. The importance of risk analysis to identify the most promising production schemes is also discussed from an economic point of view. Next, a systematic framework for economic risk assessment of biodiesel production processes and its associated by-products is presented. The application of the framework is highlighted through the production of 1,2-propanediol and 1,3-propanediol as value-added products from glycerol, which are critically assessed in terms of its techno-economic performance through the estimation of economic indicators, net present value (NPV), and minimum selling price (MSP). The Monte Carlo method with Latin Hypercube Sampling (LHS) is used to propagate the market price and technical uncertainties to the economic indicator calculations and to quantify the respective economic risk. In order to decrease the economic risk, the integrated production of the product as a module added to the biodiesel plant was tested as an alternative scenario. Using the integrated concept of utilizing the waste glycerol stream in biodiesel plants contributes to the diversification of the product portfolio for vegetable oil-based biorefineries, and in turn improves cost-competitiveness and robustness against market price fluctuations. The developed generic framework can be applied to other biodiesel by-products to assess the potentials of obtaining value-added products from them. Finally, future perspectives and other approaches toward economic production of biodiesel with lower risks are highlighted. The framework proposed in this work is to provide some detailed perspectives to facilitate the economic risk analysis of biodiesel production for any given technology.
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References
Almeida JRM, Fávaro LCL, Quirino BF (2012) Biodiesel biorefinery: opportunities and challenges for microbial production of fuels and chemicals from glycerol waste. Biotechnol Biofuels 5:48. https://doi.org/10.1186/1754-6834-5-48
Azapagic A, Millington A, Collett A (2006) A methodology for integrating sustainability considerations into process design. Chem Eng Res Des 84:439–452. https://doi.org/10.1205/cherd05007
Cabaniss S, Park D, Silvinsky M, Wagoner J, Chen D, You F (2014) Design G2
Cheali P, Gernaey K, Sin G Uncertainties in early-stage capital cost estimation of process design—a case study on biorefinery design. Front Energy Res 3 (2015). https://doi.org/10.3389/fenrg.2015.00003
Cheali P, Quaglia A, Gernaey KV, Sin G (2014) Effect of market price uncertainties on the design of optimal biorefinery systems—a systematic approach. Ind Eng Chem Res 53:6021–6032
Christensen P, Dysert LR (2005) Cost estimate classification system—as applied in engineering, procurement, and construction for the process industries
Davies P (2014) Chemical business focus—a monthly roundup and analysis of the key factors shaping world chemicals markets. Bio-materials and inter mediates including biobased chemicals, bio-polymers and their petrochemical equivalents
De Jong E (2011) Bio-based chemicals value added products from biorefineries. A report prepared for IEA bioenergy-task, 36
Eurostat (2017) http://ec.europa.eu/eurostat
Gargalo CL, Sin G (2015) Sustainable process design under uncertainty analysis: targeting environmental indicators. Comput Aided Chem Eng 37:2579–2584. https://doi.org/10.1016/B978-0-444-63576-1.50124-2
Gargalo CL, Carvalho A, Gernaey KV, Sin G (2016a) A framework for techno-economic and environmental sustainability analysis by risk assessment for conceptual process evaluation. Biochem Eng J 116:146–156. https://doi.org/10.1016/j.bej.2016.06.007
Gargalo CL, Cheali P, Posada JA, Carvalho A, Gernaey KV, Sin G (2016b) Assessing the environmental sustainability of early stage design for bioprocesses under uncertainties: an analysis of glycerol bioconversion. J Clean Prod 139:1245–1260. https://doi.org/10.1016/j.jclepro.2016.08.156
Gargalo CL, Cheali P, Posada JA, Gernaey KV, Sin G (2016c) Economic risk assessment of early stage designs for glycerol valorization in biorefinery concepts. Ind Eng Chem Res 55:6801–6814. https://doi.org/10.1021/acs.iecr.5b04593
Gong J, You F (2015) Sustainable design and synthesis of energy systems. Curr Opin Chem Eng 10:77–86. https://doi.org/10.1016/j.coche.2015.09.001
Green Business (2010) Factbox: biodiesel plants in the EU
Helton JC, Davis FJ (2003) Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems. Reliab Eng Syst Saf 81:23–69. https://doi.org/10.1016/S0951-8320(03)00058-9
Humbird D, Davis R, Tao L, Kinchin C, Hsu D, Aden A, Schoen P, Lukas J, Olthof B, Worley M, Sexton D, Dudgeon D (2011) Process design and economics for biochemical conversion of lignocellulosic biomass to ethanol process design and economics for biochemical conversion of lignocellulosic biomass to ethanol, golden, Colorado 80401
ICIS (n.d.) ICIS dashboard price history—crude glycerol, 25 Aug 2010–25 Aug 2015
Makkar HPS (2012) Biofuel co-products as livestock feed: opportunities and challenges. Food and Agriculture Organization of the United Nations, Rome
Mansouri SS, Ismail MI, Babi DK, Simasatitkul L, Huusom JK, Gani R (2013) Systematic sustainable process design and analysis of biodiesel processes. Processes 1:167–202. https://doi.org/10.3390/pr1020167
Molel E, Phillips H, Smith A (2015) 1,3-Propanediol from crude glycerol, Pennsylvania
National Research Council (2011) Renewable fuel standard: potential economic and environmental effects of U.S. biofuel policy. The National Academies Press, Washington, D.C.
Parasuraman A (2000) Technology readiness index (Tri): a multiple-item scale to measure readiness to embrace new technologies. J Serv Res 2:307–320. https://doi.org/10.1177/109467050024001
Peters MS, Timmerhaus KD, West RE (2003) Plant design and economics for chemical engineers. McGraw-Hill
Quaglia A, Gargalo C, Sin G, Gani R (2015) Systematic network synthesis and design: problem formulation, superstructure generation, data management and solution. Comput Chem Eng 72:68
Sacramento-Rivero JC (2012) A methodology for evaluating the sustainability of biorefineries: framework and indicators. Biofuels Bioprod Biorefin 6:32–44. https://doi.org/10.1002/bbb.335
Short W, Packey DJ, Holt T (1995) A manual for the economic evaluation of energy efficiency and renewable energy technologies. National Renewable Energy Laboratory, US Department of Energy, Colorado. DE-AC36-83CH10093
Sin G, Gernaey KV, Neumann MB, van Loosdrecht MCM, Gujer W (2009) Uncertainty analysis in WWTP model applications: a critical discussion using an example from design. Water Res 43:2894–2906. https://doi.org/10.1016/j.watres.2009.03.048
Stanbury PF (1995) Principles of fermentation technology. Pergamon
Technology Readiness Level, NASA (2012). https://www.nasa.gov/directorates/heo/scan/engineering/technology/txt_accordion1.html
Toro Chacón FA (2004) Techno-economic assessment of biofuel production in the European Union, Karlsruhe
Towler G, Sinnott R (2013) Economic evaluation of projects. In: Chemical engineering design, 2nd edn. Elsevier, pp 389–429. http://dx.doi.org/10.1016/B978-0-08-096659-5.00009-2
Towler G, Sinnott R (2013) Chemical engineering design: principles, practice and economics of plant and process design, 2nd edn. Elsevier
Turton R (2009) Analysis, synthesis and design of chemical processes. Prentice Hall
Waldron KW (2014) Advances in biorefineries: biomass and waste supply chain exploitation. Woodhead Publishing
Willey RJ (2014) Layer of protection analysis. Procedia Eng 84:12–22. https://doi.org/10.1016/j.proeng.2014.10.405
Techno-orbichem (n.d.) Techno-orbichem: monopropylene glycol
Yang F, Hanna M, Sun R (2012) Value-added uses for crude glycerol—a byproduct of biodiesel production. Biotechnol Biofuels 5:13. https://doi.org/10.1186/1754-6834-5-13
You F, Tao L, Graziano DJ, Snyder SW (2012) Optimal design of sustainable cellulosic biofuel supply chains: Multiobjective optimization coupled with life cycle assessment and input-output analysis. AIChE J 58:1157–1180. https://doi.org/10.1002/aic.12637
Yue D, Kim MA, You F (2013) Design of sustainable product systems and supply chains with life cycle optimization based on functional unit: general modeling framework. Mixed-integer nonlinear programming algorithms and case study on hydrocarbon biofuels. ACS Sustain Chem Eng 1:1003–1014. https://doi.org/10.1021/sc400080x
Živković SB, Veljković MV, Banković-Ilić IB, Krstić IM, Konstantinović SS, Ilić SB, Avramović JM, Stamenković OS, Veljković VB (2017) Technological, technical, economic, environmental, social, human health risk, toxicological and policy considerations of biodiesel production and use. Renew Sustain Energy Rev 79:222–247. https://doi.org/10.1016/j.rser.2017.05.048
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Mansouri, S.S. et al. (2019). Economic Risk Analysis and Critical Comparison of Biodiesel Production Systems. In: Tabatabaei, M., Aghbashlo, M. (eds) Biodiesel. Biofuel and Biorefinery Technologies, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-030-00985-4_6
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