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Analysis of a recompression supercritical carbon dioxide power cycle with an integrated turbine design/optimization algorithm

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  • Saeed, Muhammad
  • Kim, Man-Hoe

Abstract

A cycle simulation code with integrated turbine design/optimization algorithm has been developed and utilized for the analysis/optimization of ≈10MWe recompression supercritical carbon dioxide Brayton cycle. Integrated turbine design and optimization code computes the turbine design engaging the meanline design calculations as a function of received inlet conditions from the main cycle simulation code. Moreover embedded turbine code optimizes the turbine geometric by minimized the losses with in the turbine using response surface optimization methodology and returns turbine geometry and performance parameters to main code. In order to capture the swift variation in thermophysical properties of SCO2 in the supercritical region, cycle design point code and embedded turbine codes are linked with NIST REFPROP program. Integrated turbine design/optimization code was validated using 3D Reynolds-Averaged-Navier-Stokes calculations. Response surface methodology was tested by comparing the 3D computation results for the turbine baseline and optimized designs. Finally recompression supercritical carbon dioxide Brayton cycle was analyzed under various conditions of cycle's minimum temperature, minimum pressure, and pressure ratio and split mass fraction. On the basis of the results it is recommended to use proposed model for more realistic and accurate modeling cycle design point analysis.

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  • Saeed, Muhammad & Kim, Man-Hoe, 2018. "Analysis of a recompression supercritical carbon dioxide power cycle with an integrated turbine design/optimization algorithm," Energy, Elsevier, vol. 165(PA), pages 93-111.
    • Handle: RePEc:eee:energy:v:165:y:2018:i:pa:p:93-111
    DOI: 10.1016/j.energy.2018.09.058
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    Cited by:

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    2. Muhammed Saeed & Khaled Alawadi & Sung Chul Kim, 2020. "Performance of Supercritical CO 2 Power Cycle and Its Turbomachinery with the Printed Circuit Heat Exchanger with Straight and Zigzag Channels," Energies, MDPI, vol. 14(1), pages 1-25, December.
    3. Saeed, Muhammad & Kim, Man-Hoe, 2022. "A newly proposed supercritical carbon dioxide Brayton cycle configuration to enhance energy sources integration capability," Energy, Elsevier, vol. 239(PA).
    4. Zhou, Aozheng & Li, Xue-song & Ren, Xiao-dong & Song, Jian & Gu, Chun-wei, 2020. "Thermodynamic and economic analysis of a supercritical carbon dioxide (S–CO2) recompression cycle with the radial-inflow turbine efficiency prediction," Energy, Elsevier, vol. 191(C).
    5. Muhammed Saeed & Abdallah S. Berrouk & Munendra Pal Singh & Khaled Alawadhi & Muhammad Salman Siddiqui, 2021. "Analysis of Supercritical CO 2 Cycle Using Zigzag Channel Pre-Cooler: A Design Optimization Study Based on Deep Neural Network," Energies, MDPI, vol. 14(19), pages 1-28, September.
    6. Yang, Jingze & Yang, Zhen & Duan, Yuanyuan, 2020. "Off-design performance of a supercritical CO2 Brayton cycle integrated with a solar power tower system," Energy, Elsevier, vol. 201(C).
    7. Zhou, Aozheng & Li, Xue-song & Ren, Xiao-dong & Gu, Chun-wei, 2020. "Improvement design and analysis of a supercritical CO2/transcritical CO2 combined cycle for offshore gas turbine waste heat recovery," Energy, Elsevier, vol. 210(C).
    8. Sleiti, Ahmad K. & Al-Ammari, Wahib A., 2021. "Off-design performance analysis of combined CSP power and direct oxy-combustion supercritical carbon dioxide cycles," Renewable Energy, Elsevier, vol. 180(C), pages 14-29.
    9. Li, Jinxing & Liu, Tianyuan & Wang, Yuqi & Xie, Yonghui, 2022. "Integrated graph deep learning framework for flow field reconstruction and performance prediction of turbomachinery," Energy, Elsevier, vol. 254(PC).
    10. Liu, Zhiyuan & Wang, Peng & Sun, Xiangyu & Zhao, Ben, 2022. "Analysis on thermodynamic and economic performances of supercritical carbon dioxide Brayton cycle with the dynamic component models and constraint conditions," Energy, Elsevier, vol. 240(C).
    11. Li, Xia & Chen, Qun & Chen, Xi & He, Ke-Lun & Hao, Jun-Hong, 2020. "Graph theory-based heat current analysis method for supercritical CO2 power generation system," Energy, Elsevier, vol. 194(C).

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