CIESC Journal ›› 2019, Vol. 70 ›› Issue (1): 261-270.doi: 10.11949/j.issn.0438-1157.20180567

• Energy and environmental engineering • Previous Articles     Next Articles

A waste heat recovery power generation system combined with natural gas liquefaction and CO2 capture

Li ZHANG1(),Wenwu WANG1(),Zhi’en ZHANG2,Peisheng LIU3,Jiangbo WEN4,Liang DONG1   

  1. 1. College of Petroleum Engineering, Liaoning Shihua University, Fushun 113001, Liaoning, China
    2. School of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China
    3. School of Computer and Communication Engineering, Liaoning Shihua University, Fushun 113001, China
    4. School of Petroleum Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, Guangdong, China
  • Received:2018-05-28 Revised:2018-10-10 Online:2019-01-05 Published:2018-10-25
  • Contact: Wenwu WANG E-mail:zhanglili1229@hotmail.com;41116521@qq.com

Abstract:

Aiming at the problem of waste heat recovery and energy utilization, LNG and heavy oil extraction exhaust gas are used as cold source and heat source respectively, and a waste heat recovery and utilization system combined with natural gas liquefaction and exhaust gas power generation and CO2 capture is proposed. The effect of key parameters on thermodynamic performance is evaluated. The results show that increasing the turbine inlet temperature, decreasing of turbine outlet pressure and in the compression ratio, have a positive effect on the organic Rankine cycle and refrigeration cycle. The maximum net output power and waste heat recovery efficiency are 454.9 kW and 34.2%, respectively. For the natural gas liquefaction system, the nonlinear optimization of natural gas liquefaction cycles was calculated by using C++. The total power consumption within the nitrogen expansion refrigeration compressors has been selected as the objective function. The nonlinear constrained optimization problem of the liquefaction process is constructed. The optimal total power consumption of the compressors is 101.54 kW. The gas peak load regulation can be taken by decreasing the natural gas compressor (K110) inlet temperature, nitrogen turbine (T3) outlet pressure and its mass flow rate; the maximum value is 378.8 kg/h. On the contrary, the volume of carbon dioxide captured can be increased by 28.6%.

Key words: natural gas, liquefaction, power generation, CO2 capture, optimization

CLC Number: 

  • TE 09

Fig.1

Schematic diagram of proposed system"

Table 1

Basic parameters of system"

ItemValue
exhaust gas inlet temperature/℃260
exhaust gas inlet pressure/kPa110
mass flow rate of exhaust gas/(kg/h)20000
ambient temperature/℃35
ambient pressure/kPa101
LNG inlet temperature/℃-162
LNG inlet pressure/kPa110
mass flow rate of LNG/(kg/h)15000
natural gas supply temperature/℃10—20
amount of LNG liquefaction/(kg/h)10000

Table 2

Condensation temperature of common working fluid (110 kPa)"

Working fluidCondensation temperature/℃
R1150-102.7
R170-87.2
R32-50.1
R1270-46.2
R143a-45.4
R290-40.3
R134a-24.3
R152a-22.7

Fig.2

Effects of turbine 1 inlet temperature and evaporation pressure on performance parameters in power generation system"

Fig.3

Effects of compression ratio on cold exergy recovery efficiency in refrigeration cycle"

Fig.4

Effects of compressor K110 outlet pressure on power consumption in natural gas liquefaction cycles"

Fig.5

Effects of compressor K110 inlet temperature on performance parameters in natural gas liquefaction cycles"

Fig.6

Effects of CO2 captured pressure on performance parameters in natural gas liquefaction cycles"

Fig.7

Effects of mass flow rate of nitrogen on performance parameters in natural gas liquefaction system"

Fig.8

Effects of turbine 3 outlet pressure on performance parameters in natural gas liquefaction system"

Table 3

Key parameters of nitrogen expansion refrigeration circulation"

ItemPre-optimization resultsOptimization results
compressor K112 outlet pressure/kPa900909
compressor K112 inlet temperature/℃2018
compressor K113 outlet pressure/kPa12001172
compressor K114 outlet pressure/kPa15001500
compressor total power consumption/kW120101.54

Fig.9

Comparison of waste heat recovery efficiency with/without liquefaction system"

Table 4

Optimal calculation results of the whole system"

ItemMaximum valueItemMaximum value
net output power in SAGD/ORCCO2 captured quantityLNG used to peak regulation
evaporation temperature/℃190compressor K110 inlet temperature/℃-10-100
turbine 1 outlet pressure/kPa200compressor K110 outlet pressure/kPa360360
compressor outlet pressure/kPa200turbine 5 outlet pressure/kPa700110
net output power/kW454.9nitrogen mass flow rate/(kg/h)40001000
thermal efficiency/%36.6CO2 compressor outlet pressure/kPa600600
exergy efficiency/%31.4LNG used to peak regulation/(kg/h)192.8378.8
waste heat recovery efficiency/%34.2CO2 captured quantity/%7546.4
ηcold in refrigeration cycle/%87.7net output power/kW29.1267.5
1 杨文学, 杨科学, 童建翔, 等. 稠油储罐余热回收利用改造技术[J]. 石油技师, 2015: 197-199.
YangW X, YangK X, TongJ X, et al. Heavy oil storage tank waste heat recovery and utilization technology[J]. Oil Technician, 2015: 197-199.
2 XiaoZ Z, WangS Z, YangJ P. Research on recovering waste heat from liquid produced in heavy oil exploitation by SAGD technology[J]. Advanced Materials Research, 2014, 960/961: 410-413.
3 WangB, ChengQ L, SunW, et al. Application of heat pump technology in waste heat recovery of oilfield sewage[J]. Contemporary Chemical Industry, 2015, 8(10): 34-44.
4 WangX. Application of high-temperature water source heat pump units in the waste heat recovery and utilization of waste water in the oilfield[J]. Energy Conservation in Petroleum & Petrochemical Industry, 2017, 158(20): 60-70.
5 ZhuY. Promoting the utilization of sewage waste heat in the oilfield with boo management mode[J]. Energy Conservation in Petroleum & Petrochemical Industry, 2017, 112(3): 8-15.
6 SrinivasanK K, MagoP J, KrishnanS R. Analysis of exhaust waste heat recovery from a dual fuel low temperature combustion engine using an organic Rankine cycle[J]. Energy, 2010, 35(6): 2387-2399.
7 杨凯, 张红光, 宋松松, 等. 变工况下车用柴油机排气余热有机朗肯循环回收系统[J]. 化工学报, 2015, 66(3): 1097-1103.
YangK, ZhangH G, SongS S, et al. Waste heat organic Rankine cycle of vehicle diesel engine under variable working conditions[J]. CIESC Journal, 2015, 66(3): 1097-1103.
8 MagoP J, LuckR. Energetic and exergetic analysis of waste heat recovery from a microturbine using organic Rankine cycles[J]. International Journal of Energy Research, 2013, 37(8): 888-898.
9 PanZ, ZhangL, ZhangZ, et al. Thermodynamic analysis of KCS/ORC integrated power generation system with LNG cold energy exploitation and CO2 capture[J]. Journal of Natural Gas Science & Engineering, 2017, 46(8): 188-198.
10 田华, 井东湛, 王轩, 等. 基于内燃机余热回收联产系统变工况特性分析[J]. 化工学报, 2018, 69(2): 792-800.
TianH, JingD Z, WangX, et al. Part-load performance analysis of cogeneration system for engine waste heat recovery[J]. CIESC Journal, 2018, 69(2): 792-800.
11 仇阳, 潘振, 李萍, 等. 一种发电和天然气再液化相结合的LNG冷能利用系统[J]. 化工学报, 2017, 68(9): 3580-3591.
QiuY, PanZ, LiP, et al. An LNG cold energy utilization system combined with power generation and natural gas re-liquefaction[J]. CIESC Journal, 2017, 68(9): 3580-3591.
12 常学煜, 张盈盈, 朱建鲁, 等. 一种蒸发天然气再液化氮膨胀制冷工艺流程的优化和海上适应性分析[J]. 化工进展, 2017, 36(5): 1619-1627.
ChangX Y, ZhangY Y, ZhuJ L, et al. Optimization of the process of nitrogen expansion refrigeration of BOG and the analysis of the adaptability of the sea[J]. Chemical Industry and Engineering Progress, 2017, 36(5): 1619-1627.
13 RaziM, SinhaS, WaghmareP R, et al. Effect of steam-assisted gravity drainage (SAGD) produced water properties on oil/water transient interfacial tension[J]. Energy & Fuels, 2016, 156(34): 324-330.
14 AshrafiO, NavarriP, HughesR, et al. Heat recovery optimization in a steam-assisted gravity drainage (SAGD) plant[J]. Energy, 2016, 111(20): 981-990.
15 LiP, LiJ, PeiG, et al. A cascade organic Rankine cycle power generation system using hybrid solar energy and liquefied natural gas[J]. Solar Energy, 2016, 127(8): 136-146.
16 GuoC, DuX, YangL, et al. Performance analysis of organic Rankine cycle based on location of heat transfer pinch point in evaporator[J]. Applied Thermal Engineering, 2014, 62(1): 176-186.
17 YuH, FengX, WangY. A new pinch based method for simultaneous selection of working fluid and operating conditions in an ORC (organic Rankine cycle) recovering waste heat[J]. Energy, 2015, 90: 36-46.
18 翁一武. 低品位热能转换过程及利用[M]. 上海: 上海交通大学出版社, 2014.
WenY W. Conversion Process and Utilization of Low Grade Heat Energy[M]. Shanghai : Shanghai Jiao Tong University Press, 2014.
19 CimsitC, OzturkI T, KincayO. Thermoeconomic optimization of LiBr/H2O-R134a compression-absorption cascade refrigeration cycle[J]. Applied Thermal Engineering, 2015, 76: 105-115.
20 ZegenhagenT, ZieglerF. Experimental investigation of the characteristics of a jet-ejector and a jet-ejector cooling system operating with R134a as a refrigerant[J]. International Journal of Refrigeration, 2015, 56: 173-185.
21 WangH, ShiX, CheD. Thermodynamic optimization of the operating parameters for a combined power cycle utilizing low-temperature waste heat and LNG cold energy[J]. Applied Thermal Engineering, 2013, 59(8): 490-497.
22 AaliA, PourmahmoudN, ZareV. Exergoeconomic analysis and multi-objective optimization of a novel combined flash-binary cycle for Sabalan geothermal power plant in Iran[J]. Energy Conversion & Management, 2017, 143(57): 377-390.
23 ZhaoY, WangJ. Exergoeconomic analysis and optimization of a flash-binary geothermal power system[J]. Applied Energy, 2016, 179(46): 159-170.
24 WangJ, WangJ, DaiY, et al. Thermodynamic analysis and optimization of a flash-binary geothermal power generation system[J]. Geothermics, 2015, 55(10): 69-77.
25 BassyouniM, HasanS W U, AbdelazizM H, et al. Date palm waste gasification in downdraft gasifier and simulation using ASPEN HYSYS[J]. Energy Conversion & Management, 2014, 88(7): 693-699.
26 SunnyA, SolomonP A, AparnaK. Syngas production from re-gasified liquefied natural gas and its simulation using Aspen HYSYS[J]. Journal of Natural Gas Science & Engineering, 2016, 30(2): 176-181.
27 ZhangN, LiorN, LiuM, et al. COOLCEP (cool clean efficient power): a novel CO2-capturing oxy-fuel power system with LNG (liquefied natural gas) coldness energy utilization[J]. Energy, 2010, 35(2): 1200-1210.
28 WangJ, WangJ, DaiY, et al. Thermodynamic analysis and optimization of a flash-binary geothermal power generation system[J]. Geothermics, 2015, 55(3): 69-77.
29 ShahN M, RangaiahG P, HoadleyA F A. Multi-objective optimization of multi-stage gas-phase refrigeration systems[M]// Multi-Objective Optimization: Techniques and Applications in Chemical Engineering (With CD-ROM). World Scientific,2009: 237-276.
30 SongR, CuiM, LiuJ. Single and multiple objective optimization of a natural gas liquefaction process[J]. Energy, 2017, 124(4): 19-28.
[1] Hao YANG, Eryan YAN. Simulation research of microwave heating efficiency for beamed energy thruster [J]. CIESC Journal, 2019, 70(S1): 93-98.
[2] Weifeng XU, Aipeng JIANG, Haokun WANG, Enhui JIANG, Qiang DING, Hanhan GAO. A grid reconstruction strategy based on pseudo Wigner-Ville analysis for dynamic optimization problem [J]. CIESC Journal, 2019, 70(S1): 158-167.
[3] Daofeng MEI, Haibo ZHAO, Shuiping YAN. Thermodynamics simulation of biogas fueled chemical looping reforming for H2 generation using NiO/Ca2Al2SiO7 [J]. CIESC Journal, 2019, 70(S1): 193-201.
[4] Yanrao CHEN, Taoyan MAO, Cheng ZHENG. Microwave synthesis and properties of dioctadecyldihydroxyethyl ammonium bromide [J]. CIESC Journal, 2019, 70(S1): 226-234.
[5] Yamin LIU, Lei PENG, Fengying SU, Xiangxiang WANG, Yizhen HUANG, Zaichun LIN, Xiaojing YU, Yishan PEI. Study of CO2 adsorption on amine functionalized graphene oxide porous materials [J]. CIESC Journal, 2019, 70(5): 2016-2024.
[6] Liangjie JIN, Peng BAI, Xianghai GUO. Energy-saving optimization of partial diabatic distillation with side streams [J]. CIESC Journal, 2019, 70(5): 1804-1814.
[7] Dong HUANG, Xionglin LUO. Judgement of process transition control strategies for large-range conditions change of chemical processes [J]. CIESC Journal, 2019, 70(5): 1848-1857.
[8] Qin WANG, Bingjian ZHANG, Chang HE, Qinglin CHEN. Solvent evaluation model base on energy consumption objective for aromatic extraction distillation units [J]. CIESC Journal, 2019, 70(5): 1815-1822.
[9] Aipeng JIANG, Quannan ZHANG, Haokun WANG, Qiang DING, Weifeng XU, Jian WANG. An improved dynamic real time optimization strategy for heat pump heating system [J]. CIESC Journal, 2019, 70(4): 1494-1504.
[10] Peng LI, Zhonghe HAN, Xiaoqiang JIA, Zhongkai MEI, Xu HAN. Influence of dynamic turbine efficiency on performance of organic Rankine cycle system [J]. CIESC Journal, 2019, 70(4): 1532-1541.
[11] Weiwei SHEN, Daoming DENG, Qiaoping LIU, Jing GONG. Prediction model of critical gas velocities in gas wells based on annular mist flow theory [J]. CIESC Journal, 2019, 70(4): 1318-1330.
[12] Qian ZHANG, Xiangyang LIU, Wang CHEN, Heng WU, Pengying XIAO, Fangying JI, Chen LI, Haiming NIAN. Preparation of a novel phosphorus removal filler and optimization of phosphate removal adsorption bed process [J]. CIESC Journal, 2019, 70(3): 1099-1110.
[13] Bowen SHI, Yanyan YIN, Fei LIU. Optimal control strategies combined with PSO and control vector parameterization for batchwise chemical process [J]. CIESC Journal, 2019, 70(3): 979-986.
[14] Qilei LIU, Kun FENG, Linlin LIU, Jian DU, Qingwei MENG, Lei ZHANG. Reaction solvent design method based on Dragon descriptors and modified decision tree-genetic algorithm [J]. CIESC Journal, 2019, 70(2): 533-540.
[15] Xiaozheng GUO, Linlin LIU, Lei ZHANG, Jian DU. Property integration of batch process based on interceptors in semi-continuous operation [J]. CIESC Journal, 2019, 70(2): 516-524.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LING Lixia, ZHANG Riguang, WANG Baojun, XIE Kechang. Pyrolysis Mechanisms of Quinoline and Isoquinoline with Density Functional Theory[J]. , 2009, 17(5): 805 -813 .
[2] LEI Zhigang, LONG Aibin, JIA Meiru, LIU Xueyi. Experimental and Kinetic Study of Selective Catalytic Reduction of NO with NH3 over CuO/Al2O3/Cordierite Catalyst[J]. , 2010, 18(5): 721 -729 .
[3] SU Haifeng, LIU Huaikun, WANG Fan, LÜXiaoyan, WEN Yanxuan. Kinetics of Reductive Leaching of Low-grade Pyrolusite with Molasses Alcohol Wastewater in H2SO4[J]. , 2010, 18(5): 730 -735 .
[4] WANG Jianlin, XUE Yaoyu, YU Tao, ZHAO Liqiang. Run-to-run Optimization for Fed-batch Fermentation Process with Swarm Energy Conservation Particle Swarm Optimization Algorithm[J]. , 2010, 18(5): 787 -794 .
[5] SUN Fubao, MAO Zhonggui, ZHANG Jianhua, ZHANG Hongjian, TANG Lei, ZHANG Chengming, ZHANG Jing, ZHAI Fangfang. Water-recycled Cassava Bioethanol Production Integrated with Two-stage UASB Treatment[J]. , 2010, 18(5): 837 -842 .
[6] Gao Ruichang, Song Baodong and Yuan Xiaojing( Chemical Engineering Research Center, Tianjin University, Tianjin 300072). LIQUID FLOW DISTRIBUTION IN GAS - LIQUID COUNTER - CONTACTING PACKED COLUMN[J]. , 1999, 50(1): 94 -100 .
[7] Su Yaxin, Luo Zhongyang and Cen Kefa( Institute of Thermal Power Engineering , Zhejiang University , Hangzhou 310027). A STUDY ON THE FINS OF HEAT EXCHANGERS FROM OPTIMIZATION OF ENTROPY GENERATION[J]. , 1999, 50(1): 118 -124 .
[8] Luo Xiaoping(Department of Industrial Equipment and Control Engineering , South China University of Technology, Guangzhou 510641)Deng Xianhe and Deng Songjiu( Research Institute of Chemical Engineering, South China University of Technology, Guangzhou 5106. RESEARCH ON FLOW RESISTANCE OF RING SUPPORT HEAT EXCHANGER WITH LONGITUDINAL FLUID FLOW ON SHELL SIDE[J]. , 1999, 50(1): 130 -135 .
[9] Jin Wenzheng , Gao Guangtu , Qu Yixin and Wang Wenchuan ( College of Chemical Engineering, Beijing Univercity of Chemical Technology, Beijing 100029). MONTE CARLO SIMULATION OF HENRY CONSTANT OF METHANE OR BENZENE IN INFINITE DILUTE AQUEOUS SOLUTIONS[J]. , 1999, 50(2): 174 -184 .
[10]

LI Qingzhao;ZHAO Changsui;CHEN Xiaoping;WU Weifang;LI Yingjie

.

Combustion of pulverized coal in O2/CO2 mixtures and its pore structure development

[J]. , 2008, 59(11): 2891 -2897 .