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Optimal operation of geothermal-solar-wind renewables for community multi-energy supplies

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  • Xu, Da
  • Yuan, Zhe-Li
  • Bai, Ziyi
  • Wu, Zhibin
  • Chen, Shuangyin
  • Zhou, Ming

Abstract

This paper proposes a geothermal-solar-wind renewable energy hub framework for community multi-energy supplies. In this framework, multi-energy complementarities of geothermal-solar-wind hybrid renewable energy are fully explored based on electrolytic thermo-electrochemical effects of geothermal-to-hydrogen (GTH), which is integrated with the multi-energy conversion and storage devices for multi-energy supplies. In order to exploit the inherent multi-energy operational dispatchability and flexibility of geothermal-solar-wind renewables, a multi-energy coupling matrix is formulated for the modeling of production, conversion, storage, and consumption of hub-internal electricity, hydrogen and heating energy. A multi-energy operation scheme is further developed to dispatch the energy flows of the coupling matrix for cost-effective accommodation of community renewables. Case studies on a community microgrid under grid-connected and grid-disconnected modes are performed to verify the effectiveness and superiority of the proposed methodology. Simulations results show that the solar-wind accommodation can be improved by at most 1.59% with a significantly lower system operating cost.

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  • Xu, Da & Yuan, Zhe-Li & Bai, Ziyi & Wu, Zhibin & Chen, Shuangyin & Zhou, Ming, 2022. "Optimal operation of geothermal-solar-wind renewables for community multi-energy supplies," Energy, Elsevier, vol. 249(C).
    • Handle: RePEc:eee:energy:v:249:y:2022:i:c:s0360544222005758
    DOI: 10.1016/j.energy.2022.123672
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    2. Xu, Da & Xiang, Shizhe & Bai, Ziyi & Wei, Juan & Gao, Menglu, 2023. "Optimal multi-energy portfolio towards zero carbon data center buildings in the presence of proactive demand response programs," Applied Energy, Elsevier, vol. 350(C).
    3. Mingguang Zhang & Shuai Yu & Hongyi Li, 2023. "Inter-Zone Optimal Scheduling of Rural Wind–Biomass-Hydrogen Integrated Energy System," Energies, MDPI, vol. 16(17), pages 1-15, August.
    4. Bodong, Song & Wiseong, Jin & Chengmeng, Li & Khakichi, Aroos, 2023. "Economic management and planning based on a probabilistic model in a multi-energy market in the presence of renewable energy sources with a demand-side management program," Energy, Elsevier, vol. 269(C).
    5. Zhou, Yuan & Wang, Jiangjiang & Yang, Mingxu & Xu, Hangwei, 2023. "Hybrid active and passive strategies for chance-constrained bilevel scheduling of community multi-energy system considering demand-side management and consumer psychology," Applied Energy, Elsevier, vol. 349(C).
    6. Xuebin Ma & Junfeng Li & Yucheng Ren & Reaihan E & Qiugang Wang & Jie Li & Sihui Huang & Mingguo Ma, 2022. "Performance and Economic Analysis of the Multi-Energy Complementary Heating System under Different Control Strategies in Cold Regions," Energies, MDPI, vol. 15(21), pages 1-17, November.
    7. Zhou, Yuan & Wang, Jiangjiang & Li, Yuxin & Wei, Changqi, 2023. "A collaborative management strategy for multi-objective optimization of sustainable distributed energy system considering cloud energy storage," Energy, Elsevier, vol. 280(C).

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