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Parametric and global seasonal analysis of a hybrid PV/T-CCA system for combined CO2 capture and power generation

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  • Shen, Yongting
  • Hocksun Kwan, Trevor
  • Yang, Hongxing

Abstract

Current solar-driven carbon capture by adsorption (CCA) technologies are mostly based on applying solar-thermal devices to power the regeneration process, which results in a very low solar exergy efficiency and requires external power input. This paper integrates solar photovoltaic/thermal (PV/T) and CCA technologies to form a new solar cascade utilization-based hybrid system where the collected heat is supplied for the CCA regeneration process, and the PV power is provided to end-users. We first validate the PV/T and CCA subsystems by experimental and simulation references, then couple them through a thermodynamic energy balance model. Furthermore, we developed an optimal hybrid system configuration based on Hong Kong’s actual weather conditions by conducting two parametric analyses. To explore the flexibility of the proposed system, we operated it under different CO2 concentration sources and distinct time-varying weather conditions of 17 cities worldwide. Results show that when the PV panel area of PV/T is 38 m2, and the adsorbent mass is 5000 kg, the optimal system in Hong Kong can capture 1300 kg CO2 and produce 419.52 kWh electricity in 12 average days. Moreover, the system demonstrates generality in different scenarios and performs better with sufficient sunlight in cold and dry places.

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  • Shen, Yongting & Hocksun Kwan, Trevor & Yang, Hongxing, 2022. "Parametric and global seasonal analysis of a hybrid PV/T-CCA system for combined CO2 capture and power generation," Applied Energy, Elsevier, vol. 311(C).
    • Handle: RePEc:eee:appene:v:311:y:2022:i:c:s0306261922001465
    DOI: 10.1016/j.apenergy.2022.118681
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    Cited by:

    1. Yongting Shen & Hongxing Yang, 2022. "Multi-Objective Optimization of Integrated Solar-Driven CO 2 Capture System for an Industrial Building," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    2. Pei Ye, Song & Hua Liu, Yi & Chung Wang, Shun & Yu Pai, Hung, 2022. "A novel global maximum power point tracking algorithm based on Nelder-Mead simplex technique for complex partial shading conditions," Applied Energy, Elsevier, vol. 321(C).
    3. Özşimşek, Atılgan Onurcan & Omar, Muhammed Arslan, 2024. "A numerical study on the effect of employing porous medium on thermal performance of a PV/T system," Renewable Energy, Elsevier, vol. 226(C).
    4. Shen, Yongting & Yang, Hongxing, 2023. "Multi-objective optimization of a CO2/H2O capture-based ventilation and air conditioning system," Applied Energy, Elsevier, vol. 344(C).

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