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A hierarchical control with thermal and electrical synergies on battery cycling ageing and energy flexibility in a multi-energy sharing network

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  • Song, Aoye
  • Zhou, Yuekuan

Abstract

Electrochemical batteries are essential for renewable sharing and sustainability transformation, whereas battery degradation will adversely affect energy flexibility and renewable energy penetration. Numerous studies have explored methods to decelerate battery degradation from the perspective of electrode materials, electrolytes, temperature control, and so on. However, in integrated multi-energy systems, few studies explored the combined operation of integrated thermal storages and smart battery charging/discharging methods to decelerate battery degradation, in accordance with the nonlinear degradation mechanism of batteries. In this study, renewable electricity (RE) recharging strategy and depth of discharge (DoD)-based control strategy were developed to decelerate the cycling ageing and prolong the service lifetime of both lead-acid and Li-ion batteries. The underlying mechanism of the excess RE recharging strategy on integrated thermal storage is to reduce the total number of cycles of batteries for service provision to buildings. The mechanism of the DoD-based control strategy is to achieve the minimum cycling ageing rate by dynamically searching for the minimum gradient along the battery degradation curve through the active switch between the charging and discharging processes, according to the battery state of charge and dynamic power. Research results show that the proposed excess RE-hot water storage tank recharging strategy and the DoD-based control strategy effectively decelerate the battery degradation, increasing the annual equivalent relative capacity of the battery from 94.21% to 95.29% and 94.73%, respectively. Furthermore, the proposed synergistic operation between thermal and electrical storages will improve the annual equivalent relative capacity from 94.21% to 95.46%. From the economic perspective, the synergistic operation can significantly reduce the total cost of the system from 7.96 × 105 US$ to 7.78 × 105 US$ by 2.26% for Li-ion batteries application and from 1.05 × 106 US$ to 8.47 × 105 US$ by 19.33% for lead-acid batteries application. Research results can provide frontier guidelines with cutting-edge technologies for energy saving, decarbonization, and carbon neutrality transformation from perspectives of dynamic controls and synergistic operations on thermal/electrical storage.

Suggested Citation

  • Song, Aoye & Zhou, Yuekuan, 2023. "A hierarchical control with thermal and electrical synergies on battery cycling ageing and energy flexibility in a multi-energy sharing network," Renewable Energy, Elsevier, vol. 212(C), pages 1020-1037.
  • Handle: RePEc:eee:renene:v:212:y:2023:i:c:p:1020-1037
    DOI: 10.1016/j.renene.2023.05.050
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    References listed on IDEAS

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    1. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M. & Lund, Peter D., 2019. "Energy integration and interaction between buildings and vehicles: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    2. Zhang, Yongzhi & Xiong, Rui & He, Hongwen & Qu, Xiaobo & Pecht, Michael, 2019. "State of charge-dependent aging mechanisms in graphite/Li(NiCoAl)O2 cells: Capacity loss modeling and remaining useful life prediction," Applied Energy, Elsevier, vol. 255(C).
    3. Wang, Yubo & Song, Zhen & De Angelis, Valerio & Srivastava, Sanjeev, 2018. "Battery life-cycle optimization and runtime control for commercial buildings demand side management: A New York City case study," Energy, Elsevier, vol. 165(PA), pages 782-791.
    4. Li, Yi & Liu, Kailong & Foley, Aoife M. & Zülke, Alana & Berecibar, Maitane & Nanini-Maury, Elise & Van Mierlo, Joeri & Hoster, Harry E., 2019. "Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    5. Meshram, Pratima & Pandey, B.D. & Abhilash,, 2019. "Perspective of availability and sustainable recycling prospects of metals in rechargeable batteries – A resource overview," Resources Policy, Elsevier, vol. 60(C), pages 9-22.
    6. Cai, Jie & Zhang, Hao & Jin, Xing, 2019. "Aging-aware predictive control of PV-battery assets in buildings," Applied Energy, Elsevier, vol. 236(C), pages 478-488.
    7. Mishra, Partha Pratim & Latif, Aadil & Emmanuel, Michael & Shi, Ying & McKenna, Killian & Smith, Kandler & Nagarajan, Adarsh, 2020. "Analysis of degradation in residential battery energy storage systems for rate-based use-cases," Applied Energy, Elsevier, vol. 264(C).
    8. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    9. Berrueta, Alberto & Heck, Michael & Jantsch, Martin & Ursúa, Alfredo & Sanchis, Pablo, 2018. "Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants," Applied Energy, Elsevier, vol. 228(C), pages 1-11.
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    3. Zhou, Yuekuan & Zheng, Siqian, 2024. "A co-simulated material-component-system-district framework for climate-adaption and sustainability transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).

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