Optimization of biofuel supply chain integrated with petroleum refineries under carbon trade policy
Wenhui Zhang1, Yiqing Luo1,2(), Xigang Yuan1,2
1. Chemical Engineering Research Center, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China 2. State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin 300350, China
The use of fossil fuels results in significant carbon dioxide emissions. Biofuels have been increasingly adopted as sustainable alternatives to fossil fuel to address this environmental issue. Integrating petroleum refineries into biofuel supply chains is an effective approach to mitigating greenhouse gas emissions and improving environmental sustainability. In this study, an integrated supply chain optimization framework was established, considering the carbon trade policy. In addition, a mixed-integer nonlinear programming model was developed to optimize the selection of biomass suppliers, construction of pretreatment plants and biorefineries, integration of petroleum refineries, and selection of transportation routes with the objective of minimizing the total annual cost. An example is presented to illustrate the applicability of the model. The optimization results show that integrating petroleum refineries into biofuel supply chains effectively mitigates carbon emissions. Carbon trade policies can have a direct impact on the total annual cost and carbon emissions of the supply chain.
O Ellabban , H Abu-Rub , F Blaabjerg . Renewable energy resources: current status, future prospects and their enabling technology. Renewable & Sustainable Energy Reviews, 2014, 39: 748–764 https://doi.org/10.1016/j.rser.2014.07.113
2
S K Depren , M T Kartal , N Ç Çelikdemir , Ö Depren . Energy consumption and environmental degradation nexus: a systematic review and meta-analysis of fossil fuel and renewable energy consumption. Ecological Informatics, 2022, 70: 101747 https://doi.org/10.1016/j.ecoinf.2022.101747
3
M Abbasi , M S Pishvaee , S Mohseni . Third-generation biofuel supply chain: a comprehensive review and future research directions. Journal of Cleaner Production, 2021, 323: 129100 https://doi.org/10.1016/j.jclepro.2021.129100
4
A I Osman , N Mehta , A M Elgarahy , A Al-Hinai , A A H Al-Muhtaseb , D W Rooney . Conversion of biomass to biofuels and life cycle assessment: a review. Environmental Chemistry Letters, 2021, 19(6): 4075–4118 https://doi.org/10.1007/s10311-021-01273-0
5
W Marquardt , A Harwardt , M Hechinger , K Kraemer , J Viell , A Voll . The biorenewables opportunity—toward next generation process and product systems. AIChE Journal. American Institute of Chemical Engineers, 2010, 56(9): 2228–2235 https://doi.org/10.1002/aic.12380
6
M Ranjbari , Z S Esfandabadi , A Ferraris , F Quatraro , M Rehan , A S Nizami , V K Gupta , S S Lam , M Aghbashlo , M Tabatabaei . Biofuel supply chain management in the circular economy transition: an inclusive knowledge map of the field. Chemosphere, 2022, 296: 133968 https://doi.org/10.1016/j.chemosphere.2022.133968
7
S A R Khan , Y Zhang , M Anees , H Golpîra , A Lahmar , D Qianli . Green supply chain management, economic growth and environment: a GMM based evidence. Journal of Cleaner Production, 2018, 185: 588–599 https://doi.org/10.1016/j.jclepro.2018.02.226
8
J Du , H Cao , Y Li , Z Yang , A Eslamimanesh , M Fakhroleslam , S S Mansouri , W Shen . Development of hybrid surrogate model structures for design and optimization of CO2 capture processes: Part I. Vacuum pressure swing adsorption in a confined space. Chemical Engineering Science, 2024, 283: 119379 https://doi.org/10.1016/j.ces.2023.119379
9
Y Huang , Y Fan , C W Chen . An integrated biofuel supply chain to cope with feedstock seasonality and uncertainty. Transportation Science, 2014, 48(4): 540–554 https://doi.org/10.1287/trsc.2013.0498
10
R Yazdanparast , F Jolai , M S Pishvaee , A Keramati . A resilient drop-in biofuel supply chain integrated with existing petroleum infrastructure: toward more sustainable transport fuel solutions. Renewable Energy, 2022, 184: 799–819 https://doi.org/10.1016/j.renene.2021.11.081
11
Y Guo , W Zhou , H Ren , Y Yu , L Xu , M Fuss . Optimizing the aluminum supply chain network subject to the uncertainty of carbon emissions trading market. Resources Policy, 2023, 80: 103247 https://doi.org/10.1016/j.resourpol.2022.103247
12
G G Zaimes , N Vora , S S Chopra , A E Landis , V Khanna . Design of sustainable biofuel processes and supply chains: challenges and opportunities. Processes, 2015, 3(3): 634–663 https://doi.org/10.3390/pr3030634
13
A Zakeri , F Dehghanian , B Fahimnia , J Sarkis . Carbon pricing versus emissions trading: a supply chain planning perspective. International Journal of Production Economics, 2015, 164: 197–205 https://doi.org/10.1016/j.ijpe.2014.11.012
14
F Mohammed , S Z Selim , A Hassan , M N Syed . Multi-period planning of closed-loop supply chain with carbon policies under uncertainty. Transportation Research Part D, Transport and Environment, 2017, 51: 146–172 https://doi.org/10.1016/j.trd.2016.10.033
15
S M Zahraee , N Shiwakoti , P Stasinopoulos . Biomass supply chain environmental and socio-economic analysis: 40-years comprehensive review of methods, decision issues, sustainability challenges, and the way forward. Biomass and Bioenergy, 2020, 142: 105777 https://doi.org/10.1016/j.biombioe.2020.105777
16
Y Memari , A Memari , S Ebrahimnejad , R Ahmad . A mathematical model for optimizing a biofuel supply chain with outsourcing decisions under the carbon trading mechanism. Biomass Conversion and Biorefinery, 2021, 13: 1–24
17
A Azadeh , H V Arani , H Dashti . A stochastic programming approach towards optimization of biofuel supply chain. Energy, 2014, 76: 513–525 https://doi.org/10.1016/j.energy.2014.08.048
R Babazadeh , H Ghaderi , M S Pishvaee . A benders-local branching algorithm for second-generation biodiesel supply chain network design under epistemic uncertainty. Computers & Chemical Engineering, 2019, 124: 364–380 https://doi.org/10.1016/j.compchemeng.2019.01.013
20
K Tong , F You , G Rong . Robust design and operations of hydrocarbon biofuel supply chain integrating with existing petroleum refineries considering unit cost objective. Computers & Chemical Engineering, 2014, 68: 128–139 https://doi.org/10.1016/j.compchemeng.2014.05.003
21
S Abbasi , H A Choukolaei . A systematic review of green supply chain network design literature focusing on carbon policy. Decision Analytics Journal, 2023, 6: 100189
22
J Chu , C Shao , A Emrouznejad , J Wu , Z Yuan . Performance evaluation of organizations considering economic incentives for emission reduction: a carbon emission permit trading approach. Energy Economics, 2021, 101: 105398 https://doi.org/10.1016/j.eneco.2021.105398
23
S Giarola , N Shah , F Bezzo . A comprehensive approach to the design of ethanol supply chains including carbon trading effects. Bioresource Technology, 2012, 107: 175–185 https://doi.org/10.1016/j.biortech.2011.11.090
24
C V Valderrama , E Santibanez-González , B Pimentel , A Candia-Vejar , L Canales-Bustos . Designing an environmental supply chain network in the mining industry to reduce carbon emissions. Journal of Cleaner Production, 2020, 254: 119688 https://doi.org/10.1016/j.jclepro.2019.119688
25
G Van Brummelen. Heavenly Mathematics: The Forgotten Art of Spherical Trigonometry. 1st ed. New Jersey: Princeton University Press, 2012, 3–15
26
K Tong , M J Gleeson , G Rong , F You . Optimal design of advanced drop-in hydrocarbon biofuel supply chain integrating with existing petroleum refineries under uncertainty. Biomass and Bioenergy, 2014, 60: 108–120 https://doi.org/10.1016/j.biombioe.2013.10.023
27
K Osaki . US Energy Information Administration (EIA): 2019 Edition US Annual Energy Outlook Report (AEO2019). Haikan Gijutsu, 2019, 61(8): 32–43
28
L E Schrage. Optimization Modeling with LINGO. 6th ed. Chicago: Lindo System Inc., 2006, 17–21