The Utility Model Relates to a Three-stage Series LNG Cold Energy Power Generation System for Recovering Flue Gas Waste Heat-Reference-Cited by-同舟云学术

The Utility Model Relates to a Three-stage Series LNG Cold Energy Power Generation System for Recovering Flue Gas Waste Heat

Published:2024-06-14 Issue:6 Volume:10 Page:338-347
ISSN:2414-2948
Container-title:Bulletin of Science and Practice
language:ru
Short-container-title:

Author:

Chen Zhenzhen^ORCID,Kuznetsov D.^ORCID,Yang Xinglin

Abstract

In this paper, a three-stage series power generation system is designed. The waste heat generated by the engine is used as the heat source, and the energy released before LNG liquefaction is used as the cold energy. It is used to improve the performance of the system by increasing the carbon dioxide transcritical cycle. With the target of maximum generation capacity and exergic efficiency, exergic pressure and condensation pressure in the system were selected for the most beneficial generation capacity and efficiency of the system through analysis of exergic pressure and evaporation pressure.

Publisher

Publishing Center Science and Practice

Reference12 articles.

1. Bao, J., Lin, Y., Zhang, R., Zhang, N., & He, G. (2017). Effects of stage number of condensing process on the power generation systems for LNG cold energy recovery. Applied Thermal Engineering, 126, 566-582. https://doi.org/10.1016/j.applthermaleng.2017.07.144

2. Li, P., Li, J., Pei, G., Munir, A., & Ji, J. (2016). A cascade organic Rankine cycle power generation system using hybrid solar energy and liquefied natural gas. Solar Energy, 127, 136-146. https://doi.org/10.1016/j.solener.2016.01.029

3. Sadreddini, A., Ashjari, M. A., Fani, M., & Mohammadi, A. (2018). Thermodynamic analysis of a new cascade ORC and transcritical CO2 cycle to recover energy from medium temperature heat source and liquefied natural gas. Energy Conversion and Management, 167, 9-20. https://doi.org/10.1016/j.enconman.2018.04.093

4. Yang, X., Zou, J., Lei, Q., Lu, X., & Chen, Z. (2023). Thermo-Economic Analysis and Multi-Objective Optimization of a Novel Power Generation System for LNG-Fueled Ships. Journal of Marine Science and Engineering, 11(12), 2219. https://doi.org/10.3390/jmse11122219

5. Lee, S. (2017). Multi-parameter optimization of cold energy recovery in cascade Rankine cycle for LNG regasification using genetic algorithm. Energy, 118, 776-782. https://doi.org/10.1016/j.energy.2016.10.118