IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v371y2024ics0306261924009085.html
   My bibliography  Save this article

Material and energy coupling systems optimization for large-scale industrial refinery with sustainable energy penetration under multiple uncertainties using two-stage stochastic programming

Author

Listed:
  • Xu, Tiantian
  • Long, Jian
  • Zhao, Liang
  • Du, Wenli

Abstract

The coupling of multimedia materials and energy with sustainable energy penetration in large-scale industrial refineries significantly lowers energy consumption and greenhouse gas (GHG) emissions. This paper presents a sustainable retrofitting framework for coupled production materials and steam systems (CPMSS) utilising two-stage stochastic programming (TSSP). A novel sustainable energy-integrated CPMSS (SEICPMSS) model that includes wind, solar, and hydrogen energy and considers multiple operating modes and hydrogen consumption of the process units was established. First-principles models of wind turbines, solar thermal collectors, and proton exchange membrane electrolysers were adopted to sustainably retrofit the CPMSS. Latin hypercube sampling and Gaussian mixture model methods were applied to classify high volumes of uncertain wind speed and solar radiation data. A SEICPMSS optimisation model formulated as a mixed-integer nonlinear programming problem was developed by considering the investment costs, carbon taxes, and operational costs. Finally, a series of case studies from the industrial refinery's CPMSS were conducted to illustrate the effectiveness of the proposed method. The optimisation results indicate that the TSSP method can reduce operating costs by 5.3355 × 108 CNY/year and decrease GHG emissions by 7.4104 × 106 t/year compared to the traditional CPMSS without the integration of sustainable energy systems.

Suggested Citation

  • Xu, Tiantian & Long, Jian & Zhao, Liang & Du, Wenli, 2024. "Material and energy coupling systems optimization for large-scale industrial refinery with sustainable energy penetration under multiple uncertainties using two-stage stochastic programming," Applied Energy, Elsevier, vol. 371(C).
    • Handle: RePEc:eee:appene:v:371:y:2024:i:c:s0306261924009085
    DOI: 10.1016/j.apenergy.2024.123525
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924009085
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.123525?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. Ling, M.H. & Hu, X.W., 2020. "Optimal design of simple step-stress accelerated life tests for one-shot devices under Weibull distributions," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    2. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
    3. Aktar, Asikha & Alam, Md. Mahmudul & Al-Amin, Abul Quasem, 2021. "Global Economic Crisis, Energy Use, CO2 Emissions and Policy Roadmap amid COVID-19," OSF Preprints 69kje, Center for Open Science.
    4. Zhang, B.J. & Liu, K. & Luo, X.L. & Chen, Q.L. & Li, W.K., 2015. "A multi-period mathematical model for simultaneous optimization of materials and energy on the refining site scale," Applied Energy, Elsevier, vol. 143(C), pages 238-250.
    5. Park, Haryn & Kim, Jin-Kuk & Yi, Sung Chul, 2023. "Optimization of site utility systems for renewable energy integration," Energy, Elsevier, vol. 269(C).
    6. Trojan, Marcin, 2019. "Modeling of a steam boiler operation using the boiler nonlinear mathematical model," Energy, Elsevier, vol. 175(C), pages 1194-1208.
    7. Lu, Chuanyi & Tong, Qing & Liu, Xuemei, 2010. "The impacts of carbon tax and complementary policies on Chinese economy," Energy Policy, Elsevier, vol. 38(11), pages 7278-7285, November.
    8. Shu, Z.R. & Li, Q.S. & Chan, P.W., 2015. "Investigation of offshore wind energy potential in Hong Kong based on Weibull distribution function," Applied Energy, Elsevier, vol. 156(C), pages 362-373.
    9. Fan, Wei & Ju, Liwei & Tan, Zhongfu & Li, Xiangguang & Zhang, Amin & Li, Xudong & Wang, Yueping, 2023. "Two-stage distributionally robust optimization model of integrated energy system group considering energy sharing and carbon transfer," Applied Energy, Elsevier, vol. 331(C).
    10. Chen, Jincheng & Wang, Feng & Stelson, Kim A., 2018. "A mathematical approach to minimizing the cost of energy for large utility wind turbines," Applied Energy, Elsevier, vol. 228(C), pages 1413-1422.
    11. Jebabli, Ikram & Lahiani, Amine & Mefteh-Wali, Salma, 2023. "Quantile connectedness between CO2 emissions and economic growth in G7 countries," Resources Policy, Elsevier, vol. 81(C).
    12. Butturi, M.A. & Lolli, F. & Sellitto, M.A. & Balugani, E. & Gamberini, R. & Rimini, B., 2019. "Renewable energy in eco-industrial parks and urban-industrial symbiosis: A literature review and a conceptual synthesis," Applied Energy, Elsevier, vol. 255(C).
    13. Ikram Jebabli & Amine Lahiani & Salma Mefteh-Wali, 2023. "Quantile connectedness between CO2 emissions and economic growth in G7 countries," Post-Print hal-04353000, HAL.
    14. Londoño-Pulgarin, Diana & Cardona-Montoya, Giovanny & Restrepo, Juan C. & Muñoz-Leiva, Francisco, 2021. "Fossil or bioenergy? Global fuel market trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    15. Deep, Sneh & Sarkar, Arnab & Ghawat, Mayur & Rajak, Manoj Kumar, 2020. "Estimation of the wind energy potential for coastal locations in India using the Weibull model," Renewable Energy, Elsevier, vol. 161(C), pages 319-339.
    16. Han, Yulin & Zheng, Jingyuan & Luo, Xiaoyan & Qian, Yu & Yang, Siyu, 2023. "Multi-scenario data-driven robust optimisation for industrial steam power systems under uncertainty," Energy, Elsevier, vol. 263(PD).
    Full references (including those not matched with items on IDEAS)

    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. Lin, Zi & Liu, Xiaolei, 2020. "Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network," Energy, Elsevier, vol. 201(C).
    2. He, J.Y. & Chan, P.W. & Li, Q.S. & Lee, C.W., 2022. "Characterizing coastal wind energy resources based on sodar and microwave radiometer observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    3. Dongsheng Yan & Ningru Wang & Yimeng Guo & Xiangwanchen Wang & Wei Sun, 2024. "Economic Growth Targets, Innovation Transformation, and Urban Carbon Emissions: An Empirical Study of the Yangtze River Delta," Land, MDPI, vol. 13(11), pages 1-20, October.
    4. Heydar Maddah & Milad Sadeghzadeh & Mohammad Hossein Ahmadi & Ravinder Kumar & Shahaboddin Shamshirband, 2019. "Modeling and Efficiency Optimization of Steam Boilers by Employing Neural Networks and Response-Surface Method (RSM)," Mathematics, MDPI, vol. 7(7), pages 1-17, July.
    5. Alberto Gago & Xavier Labandeira & Xiral López Otero, 2014. "A Panorama on Energy Taxes and Green Tax Reforms," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 145-190, March.
    6. Małgorzata Sztorc, 2022. "The Implementation of the European Green Deal Strategy as a Challenge for Energy Management in the Face of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, April.
    7. Feras Alasali & Mohammad Salameh & Ali Semrin & Khaled Nusair & Naser El-Naily & William Holderbaum, 2022. "Optimal Controllers and Configurations of 100% PV and Energy Storage Systems for a Microgrid: The Case Study of a Small Town in Jordan," Sustainability, MDPI, vol. 14(13), pages 1-20, July.
    8. Munir Ali Elfarra & Mustafa Kaya, 2018. "Comparison of Optimum Spline-Based Probability Density Functions to Parametric Distributions for the Wind Speed Data in Terms of Annual Energy Production," Energies, MDPI, vol. 11(11), pages 1-15, November.
    9. Zhang, Tianyuan & Tan, Qian & Cai, Yanpeng, 2024. "General equilibrium analysis of carbon tax policy on water-energy-food nexus efficiency," Energy, Elsevier, vol. 304(C).
    10. Cherepovitsyn, Alexey & Solovyova, Victoria & Dmitrieva, Diana, 2023. "New challenges for the sustainable development of the rare-earth metals sector in Russia: Transforming industrial policies," Resources Policy, Elsevier, vol. 81(C).
    11. Jayne Lois San Juan & Carlo James Caligan & Maria Mikayla Garcia & Jericho Mitra & Andres Philip Mayol & Charlle Sy & Aristotle Ubando & Alvin Culaba, 2020. "Multi-Objective Optimization of an Integrated Algal and Sludge-Based Bioenergy Park and Wastewater Treatment System," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    12. Xu, Jing & Wang, Xiaoying & Gu, Yujiong & Ma, Suxia, 2023. "A data-based day-ahead scheduling optimization approach for regional integrated energy systems with varying operating conditions," Energy, Elsevier, vol. 283(C).
    13. Ayman Al-Quraan & Bashar Al-Mhairat, 2022. "Intelligent Optimized Wind Turbine Cost Analysis for Different Wind Sites in Jordan," Sustainability, MDPI, vol. 14(5), pages 1-24, March.
    14. Jiyong Li & Zeyi Hua & Lin Tian & Peiwen Chen & Hao Dong, 2024. "Optimal Capacity Allocation for Life Cycle Multiobjective Integrated Energy Systems Considering Capacity Tariffs and Eco-Indicator 99," Sustainability, MDPI, vol. 16(20), pages 1-22, October.
    15. Lin, Boqiang & Li, Xuehui, 2011. "The effect of carbon tax on per capita CO2 emissions," Energy Policy, Elsevier, vol. 39(9), pages 5137-5146, September.
    16. Li, Weiwei & Qian, Tong & Zhao, Wei & Huang, Wenwei & Zhang, Yin & Xie, Xuehua & Tang, Wenhu, 2023. "Decentralized optimization for integrated electricity–heat systems with data center based energy hub considering communication packet loss," Applied Energy, Elsevier, vol. 350(C).
    17. Tomasz Rokicki & Radosław Jadczak & Adam Kucharski & Piotr Bórawski & Aneta Bełdycka-Bórawska & András Szeberényi & Aleksandra Perkowska, 2022. "Changes in Energy Consumption and Energy Intensity in EU Countries as a Result of the COVID-19 Pandemic by Sector and Area Economy," Energies, MDPI, vol. 15(17), pages 1-26, August.
    18. Feng, Xinzhen & Zhou, Dequn & Hussain, Tufail, 2024. "An investigation of fintech governance, natural resources and government stability on sustainability: Policy suggestions under the SDGs theme," Resources Policy, Elsevier, vol. 96(C).
    19. Li, Aijun & Lin, Boqiang, 2013. "Comparing climate policies to reduce carbon emissions in China," Energy Policy, Elsevier, vol. 60(C), pages 667-674.
    20. Dara, Satyadileep & Abdulqader, Haytham & Al Wahedi, Yasser & Berrouk, Abdallah S., 2020. "Countrywide optimization of natural gas supply chain: From wells to consumers," Energy, Elsevier, vol. 196(C).

    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:appene:v:371:y:2024:i:c:s0306261924009085. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.