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Integrated Optimization for Biofuel Management Associated with a Biomass-Penetrated Heating System under Multiple and Compound Uncertainties

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  • Dianzheng Fu

    (Key Laboratory of Networked Control Systems, Digital Factory Department, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
    Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China)

  • Tianji Yang

    (Key Laboratory of Networked Control Systems, Digital Factory Department, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
    Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China)

  • Yize Huang

    (Key Laboratory of Networked Control Systems, Digital Factory Department, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
    Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China)

  • Yiming Tong

    (Key Laboratory of Networked Control Systems, Digital Factory Department, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
    Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China)

Abstract

The biofuel management of a biofuel-penetrated district heating system is complicated due to its association with multiple and polymorphic uncertainties. To handle uncertainties and system dynamic complexities, an inexact two-stage compound-stochastic mixed-integer programming technique is proposed, innovatively based on the integration of different uncertain optimization approaches. The proposed technique can not only address the inexact recourse problems sourced from multiple and compound uncertainties existing in the pre-regulated biofuel supply–demand match mode, but can also quantitatively analyze the conflicts between the economic target that minimizes the system cost and the risk preference that maximizes the heating service satisfaction. The developed model is applied to a real-world biofuel management case study of a district heating system to obtain the optimal biofuel management schemes subject to supply–demand, policy requirement constraints, and the financial minimization objective. The results indicate that biofuel allocation and expansion schemes are sensitive to the multiple and compound uncertainty inputs, and the corresponding biofuel-deficit change trends of three heat sources are obviously distinct with the system’s condition, varying due to the complicated interactions of the system’s components. Beyond that, a potential trade-off relationship between the heating cost and the constraint-violation risk can be obtained by observing system responses with thermalization coefficient varying.

Suggested Citation

  • Dianzheng Fu & Tianji Yang & Yize Huang & Yiming Tong, 2022. "Integrated Optimization for Biofuel Management Associated with a Biomass-Penetrated Heating System under Multiple and Compound Uncertainties," Energies, MDPI, vol. 15(15), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5406-:d:872425
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