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Abandoned oil wells reuse for low-carbon integrated energy Systems: A Bi-objective interval optimization

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  • Tang, Yingzhao
  • Ding, Shixing
  • Lu, Zhigang
  • Zhang, Jiangfeng
  • Zhang, Jiangyong
  • Guo, Xiaoqiang

Abstract

Geothermal energy offers significant potential for efficient and clean integrated energy systems (IESs) with high renewable penetration. To enhance dispatch capability and reduce geothermal utilization costs, this paper proposes a novel scheduling model for a solar-geothermal combined heat and power system considering abandoned oil wells (SG-AOW-CHP) in IESs. A thermal energy storage tank is integrated into the SG-AOW-CHP to mitigate renewable intermittency during nighttime operations and system stability. Given IES's carbon reduction goals and scheduling uncertainties, a bi-objective interval optimization model is proposed. The proposed model addresses renewable and load uncertainties using least squares support vector machine and adaptive bandwidth kernel density estimation for interval variables, then linearizes them via regularized McCormick envelope and interval possibility degree methods. A compromise solution coordinates the low-carbon and economic objectives. Simulations from an industrial park IES demonstrate the model effectively addresses renewable intermittency and achieves significant carbon reductions: 31.7 % in winter and 64.4 % in summer.

Suggested Citation

  • Tang, Yingzhao & Ding, Shixing & Lu, Zhigang & Zhang, Jiangfeng & Zhang, Jiangyong & Guo, Xiaoqiang, 2026. "Abandoned oil wells reuse for low-carbon integrated energy Systems: A Bi-objective interval optimization," Renewable Energy, Elsevier, vol. 256(PE).
    • Handle: RePEc:eee:renene:v:256:y:2026:i:pe:s096014812501924x
    DOI: 10.1016/j.renene.2025.124260
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    References listed on IDEAS

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