IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v223y2021ics0360544221002395.html
   My bibliography  Save this article

Optimal design and operation of a waste tire feedstock polygeneration system

Author

Listed:
  • Subramanian, Avinash S.R.
  • Gundersen, Truls
  • Adams, Thomas A.

Abstract

The optimal design and operation of a polygeneration system that uses a waste tire feedstock to produce a mix of electricity, fuels and chemicals is presented. Rigorous mass and energy balance models for the process are developed from which data are generated to fit surrogate models. The optimization problem is formulated as a nonconvex Mixed-Integer Nonlinear Program (MINLP) and solved to global optimality using ANTIGONE. The influence of variation in product prices and carbon dioxide (CO2) tax rates on the optimal process design and operation is also presented. In all scenarios studied, the optimal product portfolio favors generation of one fuel or chemical together with electricity. Electricity generation is favored in a base case with historically average market prices, while methanol, liquefied Synthetic Natural Gas (SNG) and Dimethyl Ether (DME) are favored in relatively probable scenarios in which the corresponding product fetches higher prices. Pre-combustion CO2 capture is favored at lower CO2 tax rates while post-combustion CO2 capture is only optimal in scenarios with higher rates. The optimal product portfolio changes substantially with varying market conditions thus motivating future work on designing flexible polygeneration processes that have the capacity to adjust operating conditions in order to maximize profitability by exploiting price peaks.

Suggested Citation

  • Subramanian, Avinash S.R. & Gundersen, Truls & Adams, Thomas A., 2021. "Optimal design and operation of a waste tire feedstock polygeneration system," Energy, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:energy:v:223:y:2021:i:c:s0360544221002395
    DOI: 10.1016/j.energy.2021.119990
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221002395
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.119990?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Okeke, Ikenna J. & Adams, Thomas A., 2018. "Combining petroleum coke and natural gas for efficient liquid fuels production," Energy, Elsevier, vol. 163(C), pages 426-442.
    2. Khojasteh Salkuyeh, Yaser & Adams, Thomas A., 2015. "Integrated petroleum coke and natural gas polygeneration process with zero carbon emissions," Energy, Elsevier, vol. 91(C), pages 479-490.
    3. Ruth Misener & Christodoulos Floudas, 2014. "ANTIGONE: Algorithms for coNTinuous / Integer Global Optimization of Nonlinear Equations," Journal of Global Optimization, Springer, vol. 59(2), pages 503-526, July.
    4. Yaser Khojasteh Salkuyeh & Thomas A. Adams II, 2015. "Co-Production of Olefins, Fuels, and Electricity from Conventional Pipeline Gas and Shale Gas with Near-Zero CO 2 Emissions. Part I: Process Development and Technical Performance," Energies, MDPI, vol. 8(5), pages 1-23, April.
    5. Salkuyeh, Yaser Khojasteh & Elkamel, Ali & Thé, Jesse & Fowler, Michael, 2016. "Development and techno-economic analysis of an integrated petroleum coke, biomass, and natural gas polygeneration process," Energy, Elsevier, vol. 113(C), pages 861-874.
    6. Watson, Harry A.J. & Vikse, Matias & Gundersen, Truls & Barton, Paul I., 2018. "Optimization of single mixed-refrigerant natural gas liquefaction processes described by nondifferentiable models," Energy, Elsevier, vol. 150(C), pages 860-876.
    7. Er-rbib, Hanaâ & Bouallou, Chakib, 2014. "Modeling and simulation of CO methanation process for renewable electricity storage," Energy, Elsevier, vol. 75(C), pages 81-88.
    8. Subramanian, Avinash S.R. & Gundersen, Truls & Adams, Thomas A., 2020. "Technoeconomic analysis of a waste tire to liquefied synthetic natural gas (SNG) energy system," Energy, Elsevier, vol. 205(C).
    9. Martínez, Juan Daniel & Puy, Neus & Murillo, Ramón & García, Tomás & Navarro, María Victoria & Mastral, Ana Maria, 2013. "Waste tyre pyrolysis – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 179-213.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Subramanian, Avinash S.R. & Gundersen, Truls & Barton, Paul I. & Adams, Thomas A., 2022. "Global optimization of a hybrid waste tire and natural gas feedstock polygeneration system," Energy, Elsevier, vol. 250(C).
    2. Shi, Tao & Zhou, Jianzhao & Ren, Jingzheng & Ayub, Yousaf & Yu, Haoshui & Shen, Weifeng & Li, Qiao & Yang, Ao, 2023. "Co-valorisation of sewage sludge and poultry litter waste for hydrogen production: Gasification process design, sustainability-oriented optimization, and systematic assessment," Energy, Elsevier, vol. 272(C).
    3. Park, Jun Woo & Im, Soo Ik & Lee, Ki Bong, 2023. "Techno-economic optimization of novel energy-efficient solvent deasphalting process using CO2 as a stripping agent," Energy, Elsevier, vol. 263(PB).
    4. Subramanian, Avinash S.R. & Kannan, Rohit & Holtorf, Flemming & Adams, Thomas A. & Gundersen, Truls & Barton, Paul I., 2023. "Optimization under uncertainty of a hybrid waste tire and natural gas feedstock flexible polygeneration system using a decomposition algorithm," Energy, Elsevier, vol. 284(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Subramanian, Avinash S.R. & Gundersen, Truls & Barton, Paul I. & Adams, Thomas A., 2022. "Global optimization of a hybrid waste tire and natural gas feedstock polygeneration system," Energy, Elsevier, vol. 250(C).
    2. Subramanian, Avinash S.R. & Gundersen, Truls & Adams, Thomas A., 2020. "Technoeconomic analysis of a waste tire to liquefied synthetic natural gas (SNG) energy system," Energy, Elsevier, vol. 205(C).
    3. Subramanian, Avinash S.R. & Kannan, Rohit & Holtorf, Flemming & Adams, Thomas A. & Gundersen, Truls & Barton, Paul I., 2023. "Optimization under uncertainty of a hybrid waste tire and natural gas feedstock flexible polygeneration system using a decomposition algorithm," Energy, Elsevier, vol. 284(C).
    4. Yi, Qun & Gong, Min-Hui & Huang, Yi & Feng, Jie & Hao, Yan-Hong & Zhang, Ji-Long & Li, Wen-Ying, 2016. "Process development of coke oven gas to methanol integrated with CO2 recycle for satisfactory techno-economic performance," Energy, Elsevier, vol. 112(C), pages 618-628.
    5. Salkuyeh, Yaser Khojasteh & Elkamel, Ali & Thé, Jesse & Fowler, Michael, 2016. "Development and techno-economic analysis of an integrated petroleum coke, biomass, and natural gas polygeneration process," Energy, Elsevier, vol. 113(C), pages 861-874.
    6. Katla, Daria & Bartela, Łukasz & Skorek-Osikowska, Anna, 2020. "Evaluation of electricity generation subsystem of power-to-gas-to-power unit using gas expander and heat recovery steam generator," Energy, Elsevier, vol. 212(C).
    7. Machin, Einara Blanco & Pedroso, Daniel Travieso & de Carvalho, João Andrade, 2017. "Energetic valorization of waste tires," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 306-315.
    8. Antoniou, N. & Stavropoulos, G. & Zabaniotou, A., 2014. "Activation of end of life tyres pyrolytic char for enhancing viability of pyrolysis – Critical review, analysis and recommendations for a hybrid dual system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1053-1073.
    9. Xiang, Dong & Xiang, Junjie & Sun, Zhe & Cao, Yan, 2017. "The integrated coke-oven gas and pulverized coke gasification for methanol production with highly efficient hydrogen utilization," Energy, Elsevier, vol. 140(P1), pages 78-91.
    10. Burak Atakan, 2019. "Compression–Expansion Processes for Chemical Energy Storage: Thermodynamic Optimization for Methane, Ethane and Hydrogen," Energies, MDPI, vol. 12(17), pages 1-21, August.
    11. Kim, Dongin & Han, Jeehoon, 2020. "Techno-economic and climate impact analysis of carbon utilization process for methanol production from blast furnace gas over Cu/ZnO/Al2O3 catalyst," Energy, Elsevier, vol. 198(C).
    12. Santa Margarida Santos & Ana Carolina Assis & Leandro Gomes & Catarina Nobre & Paulo Brito, 2022. "Waste Gasification Technologies: A Brief Overview," Waste, MDPI, vol. 1(1), pages 1-26, December.
    13. Jouhara, H. & Nannou, T.K. & Anguilano, L. & Ghazal, H. & Spencer, N., 2017. "Heat pipe based municipal waste treatment unit for home energy recovery," Energy, Elsevier, vol. 139(C), pages 1210-1230.
    14. Jaromił Najman & Dominik Bongartz & Alexander Mitsos, 2021. "Linearization of McCormick relaxations and hybridization with the auxiliary variable method," Journal of Global Optimization, Springer, vol. 80(4), pages 731-756, August.
    15. Michael Bampaou & Kyriakos Panopoulos & Panos Seferlis & Spyridon Voutetakis & Ismael Matino & Alice Petrucciani & Antonella Zaccara & Valentina Colla & Stefano Dettori & Teresa Annunziata Branca & Vi, 2021. "Integration of Renewable Hydrogen Production in Steelworks Off-Gases for the Synthesis of Methanol and Methane," Energies, MDPI, vol. 14(10), pages 1-24, May.
    16. Policella, Matteo & Wang, Zhiwei & Burra, Kiran. G. & Gupta, Ashwani K., 2019. "Characteristics of syngas from pyrolysis and CO2-assisted gasification of waste tires," Applied Energy, Elsevier, vol. 254(C).
    17. Liang, Zheng & Liang, Yingzong & Luo, Xianglong & Chen, Jianyong & Yang, Zhi & Wang, Chao & Chen, Ying, 2022. "Superstructure-based mixed-integer nonlinear programming framework for hybrid heat sources driven organic Rankine cycle optimization," Applied Energy, Elsevier, vol. 307(C).
    18. Iosif Pappas & Nikolaos A. Diangelakis & Efstratios N. Pistikopoulos, 2021. "The exact solution of multiparametric quadratically constrained quadratic programming problems," Journal of Global Optimization, Springer, vol. 79(1), pages 59-85, January.
    19. Ricardo M. Lima & Ignacio E. Grossmann, 2017. "On the solution of nonconvex cardinality Boolean quadratic programming problems: a computational study," Computational Optimization and Applications, Springer, vol. 66(1), pages 1-37, January.
    20. Song, Zhanlong & Yang, Yaqing & Sun, Jing & Zhao, Xiqiang & Wang, Wenlong & Mao, Yanpeng & Ma, Chunyuan, 2017. "Effect of power level on the microwave pyrolysis of tire powder," Energy, Elsevier, vol. 127(C), pages 571-580.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:223:y:2021:i:c:s0360544221002395. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.