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Integration of LNG Regasification Process in Natural Gas-Fired Power System with Oxy-Fuel Combustion

  • LIU Rong ,
  • XIONG Yongqiang ,
  • KE Liying ,
  • LIANG Jiacheng ,
  • CHEN Dengjie ,
  • ZHAO Zhongxing ,
  • LI Yajun
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  • 1. College of Chemistry and Materials Science, Ji’nan University, Guangzhou 510632, China 
    2. Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology, Guangxi University, Nanning 530004, China
    3. Key Lab of Heat Transfer Enhancement and Energy Conservation of the Ministry of Education, South China University of Technology, Guangzhou 510640, China

网络出版日期: 2023-12-01

基金资助

The authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (No. 51106063), and the Dean Project of Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology (No. 2013K004).

Integration of LNG Regasification Process in Natural Gas-Fired Power System with Oxy-Fuel Combustion

  • LIU Rong ,
  • XIONG Yongqiang ,
  • KE Liying ,
  • LIANG Jiacheng ,
  • CHEN Dengjie ,
  • ZHAO Zhongxing ,
  • LI Yajun
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  • 1. College of Chemistry and Materials Science, Ji’nan University, Guangzhou 510632, China 
    2. Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology, Guangxi University, Nanning 530004, China
    3. Key Lab of Heat Transfer Enhancement and Energy Conservation of the Ministry of Education, South China University of Technology, Guangzhou 510640, China

Online published: 2023-12-01

Supported by

The authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (No. 51106063), and the Dean Project of Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology (No. 2013K004).

摘要

富氧燃烧动力系统可以利用液化天然气(LNG)汽化过程释放的冷能来降低CO2捕集过程的功耗,但是捕集单位CO2消耗的LNG冷能量非常大。为了能够利用有限的LNG冷能以较低的能耗捕集更多的CO2,本文建立了一个新型的梯级利用LNG冷能的富氧燃烧燃气动力系统,其中LNG冷能逐级用于空气分离装置和CO2捕集装置。利用Aspen Plus软件对所建立的新系统进行分析评估,结果表明新系统的净发电效率和捕集单位CO2的一次能源消耗(SPECCA)均与化学链式燃烧系统相当,远高于常规的富氧燃烧系统。而且,新系统捕集单位CO2的LNG冷能消耗量(SLNCC)比现有的利用LNG冷能的富氧燃烧动力系统低67.2%以上。同时,通过灵敏度分析发现在O2纯度为97.0%和CO2捕集率为97.0%时新系统的CO2捕集能耗最低,其SPECCA、SECCA和SLNCC均达到了最小值,分别为1.87 GJLHV/tCO2、2.60 GJ/tCO2和1.88 tLNG/tCO2。此时,新系统的发电效率和㶲效率分别达到51.51%和49.23%。

本文引用格式

LIU Rong , XIONG Yongqiang , KE Liying , LIANG Jiacheng , CHEN Dengjie , ZHAO Zhongxing , LI Yajun . Integration of LNG Regasification Process in Natural Gas-Fired Power System with Oxy-Fuel Combustion[J]. 热科学学报, 2022 , 31(5) : 1351 -1366 . DOI: 10.1007/s11630-020-1326-y

Abstract

Oxy-fuel combustion power systems can utilize the cold energy released during the liquefied natural gas (LNG) regasification to reduce the power consumption of CO2 capture, but the specific LNG cold energy consumption of CO2 capture is still too large. To recover more CO2 with the limited LNG cold energy at a low energy cost, a novel natural gas-fired oxy-fuel power system with the cascade utilization of LNG cold energy is proposed in this work, where the LNG cold energy could be sequentially utilized in the air separation unit and the CO2 recovery process. The new system is evaluated with the Aspen Plus software. The results show that the net electrical efficiency and the specific primary energy consumption for CO2 avoided (SPECCA) of the new system are comparable to those of the chemical looping combustion cycle, and superior to those of the conventional O2/CO2 cycles. Moreover, the specific LNG needed for CO2 avoided (SLNCC) of the new system is more than 67.2% lower than the existing oxy-fuel power systems utilizing the LNG cold energy. Furthermore, it is found that the O2 purity of 97.0 mol% and the CO2 capture ratio of 97.0% are optimal conditions, because the SPECCA, the specific exergy consumption for CO2 avoided (SECCA) and the SLNCC are at the minimum of 1.87 GJLHV·tCO2−1, 2.60 GJ·tCO2−1 and 1.88 tLNG·tCO2−1, respectively. Meanwhile, the net electrical efficiency and the exergy efficiency of the new system reach 51.51% and 49.23%, respectively.

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