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首页> 外文期刊>Energy Conversion & Management >Design and optimization of CO_2 pressurization system integrated with a supercritical CO_2 power cycle for the CO_2 capture and storage system
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Design and optimization of CO_2 pressurization system integrated with a supercritical CO_2 power cycle for the CO_2 capture and storage system

机译：CO_2 CO_2电源循环集成的CO_2加压系统的设计与优化CO_2捕获和存储系统

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摘要

An innovative CO2 pressurization system combined with supercritical CO2 (sCO(2)) open power cycle is proposed in this study. The combined system reduced the power demand associated with CO2 pressurization in the CO2 capture and storage (CCS) process as well as utilized the captured CO2 in a sCO(2) power cycle to generate power. As the first step, conventional multi-stage compression was complemented with CO2 liquefaction and pumping to reduce the compression power. Later, a waste heat-powered recuperative sCO(2) power cycle was employed to generate additional electric power.The vapor compression cycle (VCC) was first modeled, validated, and explored for CO2 liquefaction and pumping. Refrigerants R717, R134a, R290, and R32 were analyzed as the VCC working fluid. An initial thermodynamic analysis was performed to identify the most influential liquefaction parameters. Then, a genetic algorithm optimization module in MATLAB was used to minimize the overall power consumption in the VCC. The VCC was integrated with a sCO(2) cycle to utilize the high pressure CO2, and after optimizing the VCC, the performance of the sCO(2) cycle was evaluated. Results of our study revealed that integrating the sCO(2) cycle with a CO2 liquefaction and pumping cycle reduced power consumption by 13.88% compared to conventional multi-stage compression. Finally, sensitivity analysis with respect to the crucial thermodynamic parameter was also performed.
机译：该研究提出了一种创新的CO2加压系统与超临界CO2（SCO（2））开口电源循环。组合系统降低了CO2捕获和存储（CCS）过程中与CO2加压相关的功率需求，并且在SCO（2）电源循环中利用捕获的CO2以产生功率。作为第一步，常规的多级压缩与CO 2液化和泵送互补以减少压缩功率。之后，采用废热热源恢复SCO（2）功率循环来产生额外的电力。蒸汽压缩循环（VCC）首先进行建模，验证，并探索CO 2液化和泵送。制冷剂R717，R134A，R290和R32被分析为VCC工作流体。进行初始热力学分析以识别最有影响力的液化参数。然后，使用MATLAB中的遗传算法优化模块来最小化VCC中的整体功耗。 VCC与SCO（2）循环集成以利用高压CO2，并在优化VCC之后，评估SCO（2）周期的性能。我们的研究结果表明，与传统的多级压缩相比，将SCO（2）循环与CO 2液化和泵送循环相比，将功耗降低13.88％。最后，还进行了关于关键热力学参数的灵敏度分析。

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