LNG冷能与地热能驱动的轻烃分离耦合有机朗肯循环发电系统分析与优化

潘杰 ,  李咏格 ,  武英莉 ,  王真 ,  柴继峰 ,  李冉

中国石油大学学报(自然科学版) ›› 2026, Vol. 50 ›› Issue (4) : 125 -135.

PDF (19914KB)
中国石油大学学报(自然科学版) ›› 2026, Vol. 50 ›› Issue (4) : 125 -135. DOI: 10.3969/j.issn.1673-5005.2026.04.013
低碳背景下油气与新能源储运前沿技术

LNG冷能与地热能驱动的轻烃分离耦合有机朗肯循环发电系统分析与优化

作者信息 +

Analysis and optimization of hybrid LNG-geothermal driven polygeneration system integrating light hydrocarbon separation and organic Rankine cycle

Author information +
文章历史 +
PDF (20391K)

摘要

液化天然气(LNG)冷能与地热能的混合利用可显著提升能量利用率和有效利用率。提出一种集轻烃分离(LHS)、有机朗肯循环(ORCs)与地热闪蒸循环(SFC)于一体的地热-液化天然气驱动耦合系统,首先,对ORCs子系统中有机工质进行筛选,以提高系统的运行效率和经济性,同时保证系统稳定性;其次,采用NSGA-II与MOPSO算法结合LINMAP与TOPSIS决策方法对Pareto解集进行多目标优化,随后对该模型的热力学、经济性和火用环境等进行综合评估。结果表明,系统有机工质采用乙烷和R600,系统的净输出功率、火用效率和净现值(NPV)分别为9 873.09 kW、44.94%和2.917×109 $,系统的总火用损和冷能利用率分别为17 678.691和19 869.61 kW,均高于参考的轻烃分离系统。

Abstract

Hybrid utilization of liquefied natural gas (LNG) cold energy and geothermal energy can improve the energetic and exergetic efficiencies significantly. This paper proposed a hybrid geothermal-LNG driven polygeneration system integrating light hydrocarbon separation (LHS), organic Rankine cycles (ORCs), and a single flash cycle (SFC). Firstly, the organic working fluids for ORCs were screened to ensure system stability and enhance the operational efficiency and economic viability. Secondly, multi-objective optimization via NSGA-II and MOPSO algorithms, coupled with LINMAP / TOPSIS decision-making methods, was employed to identify the Pareto-optimal solution. Subsequently, a comprehensive evaluation was performed, covering the thermodynamic, economic, and exergy environmental dimensions of the system. The results indicate that ethane and R600 are suitable working fluids for the system. The system's net output power, exergy efficiency, and net present value (NPV) are 9 873.09 kW, 44.94%, and $ 2.917×10 9, respectively. The system's total exergy destruction and cold energy utilization rate are 17 678.691 and 19 869.61 kW, respectively, more than those of the reference LHS system.

关键词

地热-液化天然气利用 / 轻烃-电力-制冷多联产 / 多系统集成设计 / 多目标优化 / 综合性能评估

Key words

hybrid geothermal-LNG utilization / light hydrocarbon-electricity-cooling polygeneration / multi-system integration design / multi-objective optimization / comprehensive performance assessment

引用本文

引用格式 ▾
潘杰,李咏格,武英莉,王真,柴继峰,李冉. LNG冷能与地热能驱动的轻烃分离耦合有机朗肯循环发电系统分析与优化[J]. 中国石油大学学报(自然科学版), 2026, 50(4): 125-135 DOI:10.3969/j.issn.1673-5005.2026.04.013

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

[1]

曾大乾, 张广权, 鲁春华, 等 . 中石化不同类型储气库运行及达容达产对策[J]. 断块油气田, 2026, 33(2): 192-198.

[2]

ZENG Daqian, ZHANG Guangquan, LU Chunhua, et al. Operation and countermeasures to achieve designed capacity and production targets for different types of SINOPEC's underground gas storage[J]. Fault-Block Oil and Gas Field, 2026, 33(2): 192-198.

[3]

KIM D, GIAMETTA R E H, GUNDERSEN T . Optimal use of liquefied natural gas (LNG) cold energy in air separation units[J]. Industrial & Engineering Chemistry Research, 2018, 57(17): 5914-5923.

[4]

黄雅婷, 陶乐仁, 黄理浩, 等 . 有机朗肯循环系统研究综述[J]. 有色金属材料与工程, 2018, 39(1): 57-62.

[5]

HUANG Yating, TAO Leren, HUANG Lihao, et al. Review of research on organic Rankine cycle system[J]. Nonferrous Meaterials and Engineering, 2018, 39(1): 57-62.

[6]

LEE S H, LEE J D, LIM D H, et al. Conceptual design of a sustainable hybrid desalination process using liquefied natural gas cold energy[J]. ACS Sustainable Chemistry & Engineering, 2021, 9(40): 13559-13572.

[7]

戴文智, 沈雄健, 李青洋, 等 . 基于地热能的双级蒸发双回热有机朗肯循环高级火用和高级火用经济分析[J]. 机械工程学报, 2025, 61(14): 285-296.

[8]

DAI Wenzhi, SHEN Xiongjian, LI Qingyang, et al. Advanced exergy and advanced exergy economic analysis of doublestage evaporation double-regenerative organic Rankine cycle based on geothermal energy[J]. Journal of Mechanical Engineering, 2025, 61(14): 285-296.

[9]

王溪, 杨晖, 张思凡. 液化天然气冷能利用研究进展[J]. 低碳化学与化工, 2025, 50(9): 107-115.

[10]

WANG Xi, YANG Hui, ZHANG Sifan. Research progress on liquefied natural gas cold energy utilization[J]. Low-Carbon Chemistry and Chemical Engineering, 2025, 50(9): 107-115.

[11]

GAO T, LIN W, GU A . Improved processes of light hydrocarbon separation from LNG with its cryogenic energy utilized[J]. Energy Conversion and Management, 2011, 52(6): 2401-2404.

[12]

邓志安, 李莉, 胡永群, 等 . LNG轻烃回收工艺的设计与分析[J]. 低碳化学与化工, 2023, 48(4): 176-182.

[13]

DENG Zhian, LI Li, HU Yongqun, et al. Design and analysis of LNG light hydrocarbon recovery process[J]. Low-Carbon Chemistry and Chemical Engineering, 2023, 48(4): 176-182.

[14]

郑焯, 周军, 梁光川, 等 . 嵌入压差发电的储气库系统低碳运行优化研究[J]. 断块油气田, 2025, 32(2): 283-291.

[15]

ZHENG Zhuo, ZHOU Jun, LIANG Guangchuan, et al. Research on low-carbon operation optimization of gas storage system with embedded differential pressure power generation[J]. Fault-Block Oil and Gas Field, 2025, 32(2): 283-291.

[16]

付文锋, 王金楹, 王蓝婧, 等 . 基于燃机余热和地热能的联合发电系统优化设计及热力性能分析[J]. 动力工程学报, 2024, 44(2): 328-338.

[17]

FU Wenfeng, WANG Jinying, WANG Lanjing, et al. Optimal design and thermal performance analysis of combined power generation system based on gas turbine waste heat and geothermal energy[J]. Journal of Chinese Society of Power Engineering, 2024, 44(2): 328-338.

[18]

GKOUSIS S, BRAIMAKIS K, NIMMEGEERS P, et al. Multi-objective optimization of medium-enthalpy geothermal organic Rankine cycle plants[J]. Renewable and Sustainable Energy Reviews, 2025, 210: 115150.

[19]

PAN J, LI M, ZHU M, et al. Energy, exergy and economic analysis of different integrated systems for power generation using LNG cold energy and geothermal energy[J]. Renewable Energy, 2023, 202: 1054-1070.

[20]

王荧光, 蔡东旭, 梁勇, 等 . 循环工质对LNG冷能发电系统性能的影响[J]. 低碳化学与化工, 2024, 49(10): 119-128, 135.

[21]

WANG Yingguang, CAI Dongxu, LIANG Yong, et al. Effect of circulating working fluids on performance of LNG cold energy power generation systems[J]. Low-Carbon Chemistry and Chemical Engineering, 2024, 49(10): 119-128, 135.

[22]

张墨耕. 利用低品位热能与LNG冷能的新型发电系统研究[D]. 重庆: 重庆大学, 2017.

[23]

ZHANG Mogeng. Research on a new power generation system using low-grade thermal energy and LNG cold energy[D]. Chongqing: Chongqing University, 2017.

[24]

潘振, 吴京京, 陈轶男, 等 . 基于LNG冷能利用的多联产系统模拟与性能优化[J]. 油气储运, 2022, 41(7): 810-818.

[25]

PAN Zhen, WU Jingjing, CHEN Yinan, et al. Simulation and performance optimization of a poly-generation system based on LNG cold energy utilization[J]. Oil & Gas Storage and Transportation, 2022, 41(7): 810-818.

[26]

苏要港, 吴晓南, 廖柏睿, 等 . 耦合LNG冷能及ORC的新型液化空气储能系统分析[J]. 储能科学与技术, 2022, 11(6): 1996-2006.

[27]

SU Yaogang, WU Xiaonan, LIAO Borui, et al. Analysis of novel liquefied-air energy-storage system coupled with LNG cold energy and ORC[J]. Energy Storage Science and Technology, 2022, 11(6): 1996-2006.

[28]

TUMEN OZDIL N F, SEGMEN M R . Investigation of the effect of the water phase in the evaporator inlet on economic performance for an organic Rankine cycle (ORC) based on industrial data[J]. Applied Thermal Engineering, 2016, 100: 1042-1051.

[29]

郑捷宇, 李广鹏, 厉彦忠, 等 . 利用LNG冷能的空分系统换热网络布置及多能级匹配性能[J]. 化工学报, 2015, 66(增2): 76-84.

[30]

ZHENG Jieyu, LI Guangpeng, LI Yanzhong, et al. Heat exchanger network arrangement and multi-level matching characteristic of air separation system using LNG cold energy[J]. CIESC Journal, 2015, 66(sup2): 76-84.

[31]

FARUQUE HASAN M M, BALIBAN R C, ELIA J A, et al. Modeling, simulation, and optimization of post-combustion CO2 capture for variable feed concentration and flow rate. 2. pressure swing adsorption and vacuum swing adsorption processes [J]. Industrial & Engineering Chemistry Research, 2012, 51(48): 15665-15682.

[32]

乔津. 人工智能大模型在液化天然气加气站市场价格智能预测[J]. 北斗与空间信息应用技术, 2026(1): 42-45.

[33]

QIAO Jin. Artificial intelligence model in LNG filling station market price intelligent prediction[J]. Beidou and Spatial Information Application Technology, 2026(1): 42-45.

[34]

NOH Y, KIM J, KIM J, et al. Economic evaluation of BOG management systems with LNG cold energy recovery in LNG import terminals considering quantitative assessment of equipment failures[J]. Applied Thermal Engineering, 2018, 143: 1034-1045.

[35]

GHORBANI B, SHIRMOHAMMADI R, MEHRPOOYA M . A novel energy efficient LNG/NGL recovery process using absorption and mixed refrigerant refrigeration cycles-economic and exergy analyses[J]. Applied Thermal Engineering, 2018, 132: 283-295.

[36]

SHOKATI N, RANJBAR F, YARI M . Exergoeconomic analysis and optimization of basic, dual-pressure and dual-fluid ORCs and Kalina geothermal power plants: a comparative study[J]. Renewable Energy, 2015, 83: 527-542.

[37]

HASHEMIAN N, NOORPOOR A . Assessment and multi-criteria optimization of a solar and biomass-based multi-generation system: thermodynamic, exergoeconomic and exergoenvironmental aspects[J]. Energy Conversion and Management, 2019, 195: 788-797.

基金资助

国家自然科学基金项目(52274064)

国家自然科学基金项目(51774237)

AI Summary AI Mindmap
PDF (19914KB)

0

访问

0

被引

详细

导航
相关文章

AI思维导图

/

〈 〉