A research on mathematical model approaches in biomass supply chain

Year 2024, Volume: 42 Issue: 3, 945 - 955, 12.06.2024

Betül Mutlu , Bahar Özyörük

Abstract

Nowadays, Energy has become one of the most important issues. Negative environmental effects of fossil fuels lead countries to use renewable and sustainable energy sources day by day. In addition, energy supply and security have been an motivator factor in this field. This study focus on biomass that renewable and sustainable energy source. According to studies in literature, energy production from biomass resource less than other energy sources. The most important reason for this is the logistics costs. Therefore, biomass supply chain optimi-zation is an important issue. In this study, mathematical models of biomass supply chain are reviewed. When the studies are evaluated, there are three approaches in modeling biomass supply chains. These approaches are as follows: 1) Collection and Distirubiton, 2) Selection, 3) Clustering. In additon, researchers generally focus on single-aim mixed integer mathemat-ical models. However, recently, it is seen that there are multi-aim models in the literature for minimizing emissions as well as supply chain costs. In this study, general information about biomass and biomass supply chain, studies of in this area, mathematical models, details of published papers are given. Objective functions, cost/income items, methods of these models are discussed in detail.

Keywords

Biomass, Biomass Supply Chain, Renewable And Sustainable Energy, Supply Chain Optimization

References

• REFERENCES
• [1] Karayilmazlar S, Saracoglu N, Cabuk Y, Kurt R. Biyokütlenin Türkiye’de enerji üretiminde Değerlendirilmesi. Bartın Orman Fak Derg 2011;13:6375. [Turkish]
• [2] PwC Report. Biyokütle ve Biyoenerji Sektörlerine Genel Bakış 2021 [cited 2024 May 15]. Accessed on May 15, 2024. Available at: www.pwc.com.tr
• [3] Hong BH, How BS, Lam HL. Overview of sustainable biomass supply chain: from concept to modelling. Clean Techn Environ Policy. 2016;18:21732194. [CrossRef]
• [4] Ghaderi H, Pishvaee MS, Moini A. Biomass supply chain network design: An optimization-oriented review and analysis. Ind Crops Prod 2016;94:9721000. [CrossRef]
• [5] Sharma B, Ingalls RG, Jones CL, Khanchi A. Biomass supply chain design and analysis: Basis, overview, modeling, challenges, and future. Renew Sustain Energy Rev 2013;24:608627. [CrossRef]
• [6] Acuna M, Sessions J, Zamora R, Boston K, Brown M, Ghaffariyan MR. Methods to Manage and Optimize Forest Biomass Supply Chains: a Review. Forest Eng 2019;5:124141. [CrossRef]
• [7] Nunes LJR, Causer TP, Ciolkosz D. Renewable and Sustainable Energy Reviews. Renew Sustain Energy Rev 2020;120:18. [CrossRef]
• [8] Zhang L, Hu G. Supply chain design and operational planning models for biomass to drop-in fuel production. Biomass Bioenergy. 2013;58:238250. [CrossRef]
• [9] Lin T, Rodríguez LF, Shastri YN, Hansen AC, Ting KC. Integrated strategic and tactical biomass–biofuel supply chain optimization. Bioresour Technol 2014;156:256266. [CrossRef]
• [10] Izquierdo J, Minciardi R, Montalvo I, Robba M, Tavera M. Particle Swarm Optimization for the biomass supply chain strategic planning. In: 4th International Congress on Environmental Modelling and Software; 2008. p. 12721280.
• [11] Huang Y, Chen CW, Fan Y. Multistage optimization of the supply chains of biofuels. Transp Res Part E Logist Transp Rev 2010;46:820830. [CrossRef]
• [12] Dyken S, Bakken BJ, Skjelbred HI. Linear mixed-integer models for biomass supply chains with transport, storage and processing. Energy 2010;35:13381350. [CrossRef]
• [13] Kim J, Realff MJ, Lee JH. Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty. Comput Chem Eng 2011;35:17381751. [CrossRef]
• [14] Akgul Ö, Shah N, Papageorgiou LG. Economic optimisation of a UK advanced biofuel supply chain. Biomass Bioenergy 2012;41:5772. [CrossRef]
• [15] Balaman ŞY, Selim H. A network design model for biomass to energy supply chains with anaerobic digestion systems. Appl Energy 2014;130:289304. [CrossRef]
• [16] Hong BH, Lam HL. Novel approach for ıntegrated biomass supply chain. Chem Eng Trans 2015;45:475480.
• [17] Paulo H, Azcue X, Barbosa-Povoa AP, Relvas S. Supply chain optimization of residual forestry biomass for bioenergy production: The case study of Portugal. Biomass Bioenergy 2015;83:245256. [CrossRef]
• [18] Duarte A, Sarache W, Costa Y. Biofuel supply chain design from Coffee Cut Stem under environmental analysis. Energy 2016;100:321331. [CrossRef]
• [19] Zhang F, Johnson DM, Wang J. Integrating multimodal transport into forest-delivered biofuel supply chain design. Renew Energy 2016;93:5867. [CrossRef]
• [20] Woo Y, Cho S, Kim J, Kim BS. Optimization-based approach for strategic design and operation of a biomass-to-hydrogen supply chain. Int J Hydrogen Energy 2016;41:54055418. [CrossRef]
• [21] Yıldız HG. Biyokütle temelli sürdürülebilir enerji tedarik zinciri tasarımı için çok amaçlı bir matematiksel programlama modeli uygulaması [Master's thesis]. İstanbul: Istanbul Ticaret University Graduate School of Natural and Applied Sciences; 2018. (Advisor: Asst Prof. Dr. Berk AYVAZ).
• [22] Salleh SF, Gunawan MF, Zulkarnain MF, Shamsuddin AH, Abdullah T. Modelling and Optimization of Biomass Supply Chain for Bioenergy Production. J Environ Treat Tech 2019;7:689695.
• [23] Allman A, Lee C, Martín M, Zhanga Q. Biomass waste-to-energy supply chain optimization with mobile production modules. Comput Chem Eng 2021;150:110. [CrossRef]
• [24] Dzhelil Y, Mihalev T, Ivanov B, Dobrudzhaliev D. Mathematical modeling and optimization of supply chain for bioethanol. Acta Infologica 2022;6:3342. [CrossRef]
• [25] Heungjo An H, Wilhelm WE, Searcy SW. A mathematical model to design a lignocellulosic biofuel supply chain system with a case study based on a region in Central Texas. Bioresour Technol 2011;102:78607870. [CrossRef]
• [26] Ba BH, Prins C, Prodho C. An overview of OR models for biomass supply chains. In: International Conference on Operations Research and Enterprise Systems; 2014. p. 174182.
• [27] Ahn Y, Lee I, Lee K, Han J. Strategic planning design of microalgae biomass-to-biodiesel supply chain network: multi-period deterministic model. Appl Energy 2015;154:528542. [CrossRef]
• [28] Abdulrazik A, Noor M, Failaka MF, Elkamel M. Utilising biomass for renewable energy production: Optimal profitability evaluation from different processing routes. J Mech Eng Sci 2017;11:30463057. [CrossRef]
• [29] Fallah M, Nozari H. Neutrosophic mathematical programming for optimization of multi-objective sustainable biomass supply chain network design. Comput Model Eng Sci 2021;129:928951. [CrossRef]
• [30] Malladia K, Sowlati T. Bi-objective optimization of biomass supply chains considering carbon pricing policies. Appl Energy 2020;264:114. [CrossRef]
• [31] Petridis K, Grigoroudis E, Arabatzis G. A goal programming model for a sustainable biomass supply chain network. Int J Energy Sect Manag 2018;12:79102. [CrossRef]
• [32] Durmaz YG, Bilgen B. Multi-objective optimization of sustainable biomass supply chain network design. Appl Energy 2020;272:113. [CrossRef]
• [33] Cao CX, Zhang Z, Zhou Y. A location-routing problem for biomass supply chains. Comput Ind Eng 2021;152:111. [CrossRef]
• [34] Lam HL, Varbanov P, Klemes J. Minimising carbon footprint of regional biomass supply chains. Resour Conserv Recycl 2010;54:303309. [CrossRef]
• [35] Perrin A, Wohlfahrt J, Morandi F, Østergård H, Flatberg T, Rua C, et al. Integrated design and sustainable assessment of innovative biomass supply chains: A case-study on miscanthus in France. Appl Energy 2017;204:6677. [CrossRef]
• [36] Sambra A, Sørensen CG, Kristensen EF. Optimized Harvest and Logistics For Biomass Supply Chain. In: Proceedings of European Biomass Conference and Exhibition; 2008. p. 18.
• [37] Wu J, Zhang J, Yi W, Cai H, Li Y, Su Z. Agri-biomass supply chain optimization in north China: Model. Energy 2022;239:111. [CrossRef]
• [38] Ahmadvand S, Sowlati T. A robust optimization model for tactical planning of the forest-based biomass supply chain for syngas production. Comput Chem Eng 2022;159:119. [CrossRef]
• [39] Zulkafli NI, Kopanos GM. A general optimization framework for the design and planning of energy supply chain networks: Techno-economic and environmental analysis. Chem Eng Res Des 2018;131:214233. [CrossRef]
• [40] Rentizelas AA, Tolis AJ, Tatsiopoulos IP. Logistics issues of biomass: The storage problem and the multi-biomass supply chain. Renew Sustain Energy Rev 2009;13:887894. [CrossRef]