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Study of Key Parameters and Uncertainties Based on Integrated Energy Systems Coupled with Renewable Energy Sources

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Listed:
  • Xin Liu

    (School of Metallurgy, Northeastern University, Shenyang 110819, China
    State Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, Shenyang 110819, China)

  • Yuzhang Ji

    (School of Metallurgy, Northeastern University, Shenyang 110819, China
    State Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, Shenyang 110819, China)

  • Ziyang Guo

    (School of Metallurgy, Northeastern University, Shenyang 110819, China
    State Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, Shenyang 110819, China)

  • Shufu Yuan

    (School of Metallurgy, Northeastern University, Shenyang 110819, China)

  • Yongxu Chen

    (School of Metallurgy, Northeastern University, Shenyang 110819, China)

  • Weijun Zhang

    (School of Metallurgy, Northeastern University, Shenyang 110819, China
    State Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, Shenyang 110819, China)

Abstract

The extensive research and application of integrated energy systems (IES) coupled with renewable energy sources have played a pivotal role in alleviating the problems of fossil energy shortage and promoting sustainability to a certain extent. However, the uncertainty of photovoltaic (PV) and wind power in IES increases the difficulty of maintaining stable system operation, posing a challenge to long-term sustainability. In addition, the capacity configuration of each device in IES and the operation strategy under different conditions will also significantly impact the operation cost and expected results of the system, influencing its overall sustainability. To address the above problems, this paper establishes an optimization model based on linear programming to optimize the equipment capacity and operation strategy of IES coupled with PV and wind power with the minimum total annual cost as the objective function, thereby promoting economic sustainability. Moreover, an integrated assessment framework, including economic, energy efficiency, and environmental aspects, is constructed to provide a comprehensive assessment of the operation of IES, ensuring a holistic view of sustainability. Finally, taking the IES of an industrial park in Xi’an, China, as the specific case, sensitivity analysis is used to explore the impact of a variety of critical parameters on the equipment capacity and operating strategy. Additionally, the Monte Carlo method is used to explore the impact of source-load uncertainty on the performance of the IES. The results show that the facilitating or constraining relationship between renewable energy access and the cascading utilization of combined heat and power generation (CHP) energy depends on the relative magnitude of the user load thermoelectric ratio to the prime mover thermoelectric ratio. To cope with the negative impact of source-load uncertainty on the stable operation of the IES, the capacities of the electric chiller and absorption chiller should be increased by 4.0% and 5.8%, respectively. It is worth noting that the increase in the penetration rate of renewable energy has not changed the system’s dependence on the grid.

Suggested Citation

  • Xin Liu & Yuzhang Ji & Ziyang Guo & Shufu Yuan & Yongxu Chen & Weijun Zhang, 2023. "Study of Key Parameters and Uncertainties Based on Integrated Energy Systems Coupled with Renewable Energy Sources," Sustainability, MDPI, vol. 15(23), pages 1-29, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16266-:d:1286953
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    References listed on IDEAS

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