Energy efficiency and economic analysis of a novel polygeneration system based on LNG cold energy utilization and wet flue gas waste heat recovery

IF 6.1 2区 工程技术 Q2 ENERGY & FUELS Applied Thermal Engineering Pub Date : 2024-11-23 DOI:10.1016/j.applthermaleng.2024.125055
Zhen Shangguan , Ziliang Rui , Shulin Zhang , Juan He , Lei Chen , Zhicheng Wang , Hao Peng
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Abstract

The polygeneration systems based on liquefied natural gas (LNG) cold energy recovery are limited by high investment costs, low efficiency due to low-grade heat sources, and low LNG cold energy utilization efficiency. In this paper, a novel polygeneration system based on LNG cold energy utilization and wet flue gas waste heat recovery was proposed. This system was designed to utilize low-grade wet flue gas as a heat source, and to effect waste heat recovery and low-temperature carbon dioxide (CO2) capture from the flue gas. A thermodynamic and economic model was developed to analyze the performance of system. Parameter analysis and exergy analysis were conducted to examine the impact of thermodynamic parameters on system performance. Furthermore, the initial investment cost and daily average income of the system were evaluated. To optimize the performance of system, a genetic algorithm was employed. The results demonstrate that the cooling output and total power output of the proposed system are 17.60 kW and 448.00 kW, respectively, and a carbon capture rate of 92.86 % with an exergy efficiency of 38.95 % is achieved. The estimated investment payback period is 1.32 years. Based on the optimization results, the exergy efficiency of the system reaches 45.26 % and the total power output of the optimized system is 505.08 kW. These findings provide important theoretical groundwork and technical support for the widespread application of LNG in cryogenic power generation and carbon capture.
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基于液化天然气冷能利用和湿烟气余热回收的新型多联产系统的能效和经济性分析
基于液化天然气(LNG)冷能回收的多联产系统存在投资成本高、低品位热源导致效率低以及 LNG 冷能利用效率低等问题。本文提出了一种基于液化天然气冷能利用和湿烟气余热回收的新型多联产系统。该系统旨在利用低品位湿烟气作为热源,并从烟气中进行余热回收和低温二氧化碳(CO2)捕集。开发了一个热力学和经济模型来分析系统的性能。通过参数分析和放能分析,研究了热力学参数对系统性能的影响。此外,还对系统的初始投资成本和日平均收入进行了评估。为优化系统性能,采用了遗传算法。结果表明,拟议系统的冷却输出和总功率输出分别为 17.60 千瓦和 448.00 千瓦,碳捕获率为 92.86%,放能效率为 38.95%。预计投资回收期为 1.32 年。根据优化结果,系统的放能效率达到 45.26 %,优化系统的总输出功率为 505.08 kW。这些研究结果为液化天然气在低温发电和碳捕集领域的广泛应用提供了重要的理论基础和技术支持。
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来源期刊
Applied Thermal Engineering
Applied Thermal Engineering 工程技术-工程:机械
CiteScore
11.30
自引率
15.60%
发文量
1474
审稿时长
57 days
期刊介绍: Applied Thermal Engineering disseminates novel research related to the design, development and demonstration of components, devices, equipment, technologies and systems involving thermal processes for the production, storage, utilization and conservation of energy, with a focus on engineering application. The journal publishes high-quality and high-impact Original Research Articles, Review Articles, Short Communications and Letters to the Editor on cutting-edge innovations in research, and recent advances or issues of interest to the thermal engineering community.
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