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Pumped Thermal Energy Storage and Bottoming System Part B: Sensitivity analysis and baseline performance

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  • Abarr, Miles
  • Hertzberg, Jean
  • Montoya, Lupita D.

Abstract

This paper (Part B) presents the results of sensitivity, baseline performance, and levelized cost of energy analyses of a recently proposed Pumped Thermal Energy Storage and Bottoming System (Bot-PTES) that uses ammonia as the working fluid. The system model was outlined in Part A of this two-part paper. This analysis focuses on the effects of hot thermal storage utilization, system pressure, and evaporator/condenser size on the system performance. It also presents the estimated performance for a proposed baseline Bot-PTES. Results of this analysis showed that all selected parameters had significant effects on efficiency, with the evaporator/condenser size having the largest effect over the selected ranges. Results for the baseline case showed stand-alone energy storage efficiencies between 51 and 66% for varying power levels and charge states, and a stand-alone bottoming efficiency of 24%. The resulting efficiencies for this case were low compared to competing technologies; however, the dual-functionality of the Bot-PTES enables it to have higher capacity factor, leading to $91–197/MWh levelized cost of energy compared to $262–284/MWh for batteries and $172–254/MWh for Compressed Air Energy Storage.

Suggested Citation

  • Abarr, Miles & Hertzberg, Jean & Montoya, Lupita D., 2017. "Pumped Thermal Energy Storage and Bottoming System Part B: Sensitivity analysis and baseline performance," Energy, Elsevier, vol. 119(C), pages 601-611.
  • Handle: RePEc:eee:energy:v:119:y:2017:i:c:p:601-611
    DOI: 10.1016/j.energy.2016.11.028
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    Cited by:

    1. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    2. Zhang, Han & Wang, Liang & Lin, Xipeng & Chen, Haisheng, 2020. "Combined cooling, heating, and power generation performance of pumped thermal electricity storage system based on Brayton cycle," Applied Energy, Elsevier, vol. 278(C).
    3. Ahmed, N. & Elfeky, K.E. & Lu, Lin & Wang, Q.W., 2020. "Thermal performance analysis of thermocline combined sensible-latent heat storage system using cascaded-layered PCM designs for medium temperature applications," Renewable Energy, Elsevier, vol. 152(C), pages 684-697.
    4. Alberto Benato & Francesco De Vanna & Anna Stoppato, 2022. "Levelling the Photovoltaic Power Profile with the Integrated Energy Storage System," Energies, MDPI, vol. 15(24), pages 1-21, December.
    5. Zhao, Yongliang & Song, Jian & Liu, Ming & Zhao, Yao & Olympios, Andreas V. & Sapin, Paul & Yan, Junjie & Markides, Christos N., 2022. "Thermo-economic assessments of pumped-thermal electricity storage systems employing sensible heat storage materials," Renewable Energy, Elsevier, vol. 186(C), pages 431-456.
    6. Sorknæs, Peter & Thellufsen, Jakob Zinck & Knobloch, Kai & Engelbrecht, Kurt & Yuan, Meng, 2023. "Economic potentials of carnot batteries in 100% renewable energy systems," Energy, Elsevier, vol. 282(C).
    7. Zhang, Han & Wang, Liang & Lin, Xipeng & Chen, Haisheng, 2023. "Operating mode of Brayton-cycle-based pumped thermal electricity storage system: Constant compression ratio or constant rotational speed?," Applied Energy, Elsevier, vol. 343(C).
    8. Wang, Liang & Lin, Xipeng & Chai, Lei & Peng, Long & Yu, Dong & Chen, Haisheng, 2019. "Cyclic transient behavior of the Joule–Brayton based pumped heat electricity storage: Modeling and analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 523-534.
    9. Zhang, Han & Wang, Liang & Lin, Xipeng & Chen, Haisheng, 2022. "Technical and economic analysis of Brayton-cycle-based pumped thermal electricity storage systems with direct and indirect thermal energy storage," Energy, Elsevier, vol. 239(PC).

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