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Bi-objective optimization of biomass supply chains considering carbon pricing policies

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  • Malladi, Krishna Teja
  • Sowlati, Taraneh

Abstract

Bi-objective optimization models considering carbon pricing policies are developed in this paper to obtain the trade-off between cost and emissions of biomass supply chain models, which is important for decision making. Solving bi-objective optimization models to obtain the set of trade-off solutions can be time consuming. To avoid the computational effort, in this paper, a new algorithm is developed to obtain the solutions for the bi-objective models with carbon pricing policies using the solutions of the bi-objective model without carbon pricing. The algorithm is based on mathematical properties of optimum solutions of bi-objective models with and without carbon pricing policies. These properties are proved mathematically. The developed algorithm is applied to a case study of a biomass-fed district heating system. Results indicate that the number of optimum solutions to the bi-objective models decrease when emissions are priced compared to when emissions are not priced. The increase in total cost for mitigating a given quantity of emission is more for the carbon offset model compared to the carbon tax and the carbon cap-and-trade models. Pair-wise comparison of the models indicates that the carbon tax model has more cost than the carbon cap-and-trade and the carbon offset models. The algorithm and results of this study are independent of the case study; therefore, they can be applied to other cases and industries.

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  • Malladi, Krishna Teja & Sowlati, Taraneh, 2020. "Bi-objective optimization of biomass supply chains considering carbon pricing policies," Applied Energy, Elsevier, vol. 264(C).
    • Handle: RePEc:eee:appene:v:264:y:2020:i:c:s0306261920302312
    DOI: 10.1016/j.apenergy.2020.114719
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    1. Erik Haites, 2018. "Carbon taxes and greenhouse gas emissions trading systems: what have we learned?," Climate Policy, Taylor & Francis Journals, vol. 18(8), pages 955-966, September.
    2. Palak, Gökçe & Ekşioğlu, Sandra Duni & Geunes, Joseph, 2014. "Analyzing the impacts of carbon regulatory mechanisms on supplier and mode selection decisions: An application to a biofuel supply chain," International Journal of Production Economics, Elsevier, vol. 154(C), pages 198-216.
    3. Mohamed Abdul Ghani, N. Muhammad Aslaam & Vogiatzis, Chrysafis & Szmerekovsky, Joseph, 2018. "Biomass feedstock supply chain network design with biomass conversion incentives," Energy Policy, Elsevier, vol. 116(C), pages 39-49.
    4. Seo, Seung-Kwon & Yun, Dong-Yeol & Lee, Chul-Jin, 2020. "Design and optimization of a hydrogen supply chain using a centralized storage model," Applied Energy, Elsevier, vol. 262(C).
    5. Waltho, Cynthia & Elhedhli, Samir & Gzara, Fatma, 2019. "Green supply chain network design: A review focused on policy adoption and emission quantification," International Journal of Production Economics, Elsevier, vol. 208(C), pages 305-318.
    6. Cambero, Claudia & Sowlati, Taraneh, 2016. "Incorporating social benefits in multi-objective optimization of forest-based bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 178(C), pages 721-735.
    7. Zhitao Xu & Adel Elomri & Shaligram Pokharel & Fatih Mutlu, 2019. "The Design of Green Supply Chains under Carbon Policies: A Literature Review of Quantitative Models," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    8. Cristóbal, Jorge & Guillén-Gosálbez, Gonzalo & Jiménez, Laureano & Irabien, Angel, 2012. "MINLP model for optimizing electricity production from coal-fired power plants considering carbon management," Energy Policy, Elsevier, vol. 51(C), pages 493-501.
    9. Foumani, Mehdi & Smith-Miles, Kate, 2019. "The impact of various carbon reduction policies on green flowshop scheduling," Applied Energy, Elsevier, vol. 249(C), pages 300-315.
    10. Dorotić, Hrvoje & Pukšec, Tomislav & Duić, Neven, 2019. "Economical, environmental and exergetic multi-objective optimization of district heating systems on hourly level for a whole year," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    11. Mohammad Marufuzzaman & Sandra Duni Ekşioğlu & Rafael Hernandez, 2014. "Environmentally Friendly Supply Chain Planning and Design for Biodiesel Production via Wastewater Sludge," Transportation Science, INFORMS, vol. 48(4), pages 555-574, November.
    12. Chaabane, A. & Ramudhin, A. & Paquet, M., 2012. "Design of sustainable supply chains under the emission trading scheme," International Journal of Production Economics, Elsevier, vol. 135(1), pages 37-49.
    13. He, Senyu & Yin, Jianhua & Zhang, Bin & Wang, Zhaohua, 2018. "How to upgrade an enterprise’s low-carbon technologies under a carbon tax: The trade-off between tax and upgrade fee," Applied Energy, Elsevier, vol. 227(C), pages 564-573.
    14. Haddadsisakht, Ali & Ryan, Sarah M., 2018. "Closed-loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax," International Journal of Production Economics, Elsevier, vol. 195(C), pages 118-131.
    15. Cheng, Chun & Qi, Mingyao & Wang, Xingyi & Zhang, Ying, 2016. "Multi-period inventory routing problem under carbon emission regulations," International Journal of Production Economics, Elsevier, vol. 182(C), pages 263-275.
    16. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    17. World Bank Group, "undated". "State and Trends of Carbon Pricing 2019," World Bank Publications - Reports 31755, The World Bank Group.
    18. Zhang, Bin & Xu, Liang, 2013. "Multi-item production planning with carbon cap and trade mechanism," International Journal of Production Economics, Elsevier, vol. 144(1), pages 118-127.
    19. Ghafghazi, S. & Sowlati, T. & Sokhansanj, S. & Melin, S., 2010. "A multicriteria approach to evaluate district heating system options," Applied Energy, Elsevier, vol. 87(4), pages 1134-1140, April.
    20. Zakeri, Atefe & Dehghanian, Farzad & Fahimnia, Behnam & Sarkis, Joseph, 2015. "Carbon pricing versus emissions trading: A supply chain planning perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 197-205.
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    7. Li, Ximei & Gao, Jianmin & Chen, Bingyuan & You, Shi & Zheng, Yi & Du, Qian & Qin, Yukun, 2023. "Multi-objective optimization of district heating systems with turbine-driving fans and pumps considering economic, exergic, and environmental aspects," Energy, Elsevier, vol. 277(C).
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