Abstract
Pyrolysis of plastic waste has been studied for many years, but there are only a few commercial plants in the world. A probabilistic economic model was applied to a fuel-production business from plastic waste. Many parameters governing the business balance such as collection amount of plastic waste, oil yield and gate fee often fluctuate during a business period. The model parameters were determined from reports or interviews and assumed to fluctuate along the normal distribution, unlike fixed values of several sets of parameters in conventional case studies of economic feasibility. The probability of business success, Ps, was defined as the probability of a positive business balance. The total balance was calculated using 17 parameters, which were assumed to fluctuate randomly along the normal distribution for a business period of 20 years. The probability of success was obtained by the Monte Carlo method with 3000 calculations using the fluctuating parameters. Sensitivity analysis was also conducted to measure the effect of each typical parameter on Ps. Among the parameters examined, gate fee is the most influential. The probability of success increased by 69% with a gate fee of 1.1-times the average and decreased by 28% with a gate fee of 0.9-times the average.
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References
Grassie N (1989) Products of thermal degradation of polymers. In: Brandrup J, Immergut EH (ed) Polymer handbook, 3rd edn. Wiley, New York, pp II/365–397
Brandrup J, Bittner M, Michaeli W, Menges G (1996) Recycling and recovery of plastics. Hanser publishers, Munich
Scheirs J, Kaminsky W (2006) Feedstock recycling and pyrolysis of plastic waste: converting plastic waste into diesel and other fuels. Wiley, West Sussex
Anuar Sharuddin SD, Abnisa F, Wan Daud WMA, Aroua MK (2016) A review on pyrolysis of plastic wastes. Energy Convers Manag 115:308–326
Al-Salem SM, Antelava A, Constantinou A, Manos G, Dutta A (2017) A review on thermal and catalytic pyrolysis of plastic solid waste (PSW). J Environ Mange 197:177–198
Wenning HP (1993) The VEBA OEL technologie pyrolysis process. J Anal Appl Pyrol 25:301–310
Kaminsky W (2006) The Hamburg fluidized-bed pyrolysis process to recycle polymer waastes and tires. In: Scheirs J, Kaminsky W (eds) Feedstock recycling and pyrolysis of plastic waste: converting plastic waste into diesel and other fuels. Wiley, West Sussex, pp 475–492
Okuwaki A, Yoshioka T, Asai M, Tachibana H, Wakai K, Tada K (2006) The liquefaction of plastic containers and packaging in Japan. In: Scheirs J, Kaminsky W (eds) Feedstock recycling and pyrolysis of plastic waste: converting plastic waste into diesel and other fuels. Wiley, West Sussex, pp 666–708
Fukushima M, Shioya M, Wakai K, Ibe H (2009) Toward maximizing the recycling rate in a Sapporo waste plastics liquefaction plant. J Mater Cycles Waste Manag 11:11–18
Kodera Y, Ishihara Y, Muto D, Kuroki T (2008) Technical and economic studies for the promotion of fuel production through waste plastic recycling (in Japanese). J Japan Soc Waste Management Experts 19:35–43
ElQuliti SAH (2016) Techno-econoomic feasibility study of waste-to-energy using pyrolysis technology for Jeddah municipal solid waste. Int J Power Eng Energ 7(1):622–635
Ghodrat M, Abascall Alonso J, Hagare D, Samali YR, B, (2019) Economic feasibility of energy recovery from waste plastic using pyrolysis technology: an Australian perspective. Int J Environ Sci Technol 16:3721–3734
Newnan DG, Eschenbach TG, Lavelle JP (2004) Engineering economic analysis. Oxford University Press, New York
Olsen DL, Birge JR, Linton J (2014) Introduction to risk and uncertainty management in technological innovation. Technovation 34:395–398
Miorando RF, Ribeiro JLD, Cortimiglia MN (2014) An economic-probabilistic model for risk analysis in technological innovation projects. Technovation 34:485–498
Lobos G, Mora M, Saens R, Muñoz T, Schnettler B (2015) Including risk in economic feasibility analysis: A stochastic simulation model for blueberry investment decisions in Chile. Rev Bras Frutic, Jaboticabal – SP 37(4):870–882
Zhao X, Brown TR, Tyner WE (2015) Stochastic techno-economic evaluation of cellulosic biofuel pathways. Bioresour Technol 198:755–763
Sajid Z, Zhang Y, Khan F (2016) Process design and probabilistic economic risk analysis of bio-diesel production. Sustain Prod Consum 5:1–15
Li B, Qu L, Dang Q, Meyer P, Jones S, Brown R, Wright M (2015) Bioresour Technol 196:49–56
Richardson JW, Herbst BK, Outlaw JL, Anderson DP, Klose SL, Chope Gill II R (2006) Risk assessment in economic feasibility analysis: The case of ethanol production in Texas. Agricultural and Food Policy Center, Texas A&M University System. https://www.afpc.tamu.edu/research/publications/447/RR%2006-3.pdf. Accessed 11 November 2020
Brown TR (2018) Price uncertainty, policy, and the economic feasibility of cellulosic biorefineries. Biofuel Bioprod Biorefin 12:485–496
Nam SY, Roh JH, Yang YJ, Um NI, Ahn JW, Kim J (2014) A study on the economic evaluation for a feasibility study in Molybdenum mineral processing. Resour Process 61:10–20
Pannell DJ (1997) Sensitivity analysis of normative economic models: theoretical framework and practical strategies. Agric Econ 16:139–152
Der Kiureghian A, Ditlevsen O (2009) Aleatory or epistemic? Does it matter? Struct Saf 31:105–112
Japan Containers and Packaging Recycling Association (2020) Data on recycling by the association (In Japanese). https://www.jcpra.or.jp/recycle/related_data/tabid/471/index.php#Tab471. Accessed 15 May 2020
Japan Containers and Packaging Recycling Association (2014) Field examination report on plastic containers and packaging (Apr. 2012 – Mar. 2014), June 2014 (In Japanese). https://www.jcpra.or.jp/Portals/0/resource/00oshirase/pdf/jissyoushiken_final-report.pdf. Accessed 11 May 2020
Agency for Natural Resources and Energy (2020) Sekiyu seihin kakaku chosa (Survey on prices of petroleum products, In Japanese) https://www.enecho.meti.go.jp/statistics/petroleum_and_lpgas/pl007/. Accessed 14 May 2020
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We thank Dr. Mamoru Kaiho for discussion and Ms. Masako Morita for compiling data. We also thank Editage for editing and reviewing the manuscript for English language.
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Ibe, H., Kodera, Y. A probabilistic economic model and sensitivity analysis of fuel-oil production from plastic waste. J Mater Cycles Waste Manag 23, 449–460 (2021). https://doi.org/10.1007/s10163-020-01159-3
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DOI: https://doi.org/10.1007/s10163-020-01159-3