Design and optimization of boil-off gas recondensation process by recovering waste cold energy in LNG regasification terminals

被引:2
作者
Srilekha, Malayanur [1 ]
Dutta, Arnab [1 ]
机构
[1] Birla Inst Technol & Sci BITS Pilani, Chem Engn Dept, Hyderabad Campus Jawahar Nagar, Hyderabad 500078, India
关键词
LNG cold energy; BOG recondensation; Process integration; Process simulation; Optimization; Technoeconomic analyses; LIQUEFIED NATURAL-GAS; ALGORITHM;
D O I
10.1016/j.cherd.2024.03.041
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In any LNG regasification terminal, boil -off gas (BOG) generation is unavoidable. BOG being predominantly methane, a sustainable and cost-effective BOG management process for any given LNG terminal conditions is of utmost necessary from both economic and environmental perspectives. LNG has substantial amount of cold energy, which is completely wasted when LNG is regassified using air or water at ambient conditions. In this study, we have developed a superstructure encompassing various process integration options to recondense the generated BOG completely using LNG cold energy. The proposed superstructure is optimized using a simulationbased optimization framework to minimize the total annualized cost for the BOG management process. We have performed several case studies to investigate the impact of different LNG terminal conditions on the BOG management process. Results obtained from our proposed framework not only yields the optimal configuration for BOG recondensation process but also provides the optimal operating conditions for any given LNG terminal condition. Our results show that variations in LNG compositions and regasification pressures do not influence the optimal configuration but they do influence the optimal process operating conditions. The amount of BOG to be recondensed strongly influences both optimal BOG management configuration as well as the process operating conditions.
引用
收藏
页码:292 / 300
页数:9
相关论文
共 46 条
[1]   Dynamic Optimization of Lurgi Type Methanol Reactor Using Hybrid GA-GPS Algorithm: The Optimal Shell Temperature Trajectory and Carbon Dioxide Utilization [J].
Alarifi, Abdulaziz ;
Liu, Zhefu ;
Erenay, Fatih Safa ;
Elkamel, Ali ;
Croiset, Eric .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2016, 55 (05) :1164-1173
[2]  
[Anonymous], 2014, Handbook of Liquefied Natural Gas, P321, DOI [10.1016/B978-0-12-404585-9.00008-8, DOI 10.1016/B978-0-12-404585-9.00008-8]
[3]  
[Anonymous], 2021, International Energy Outlook 2021
[4]   Boil-off gas emission from the fuel tank of a LNG powered truck [J].
Barelli, Linda ;
Bidini, Gianni ;
Perla, Michele ;
Pilo, Francesco ;
Trombetti, Lorenzo .
FUEL, 2022, 325
[5]   An efficient constraint handling method for genetic algorithms [J].
Deb, K .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2000, 186 (2-4) :311-338
[6]   Problem of Boil - off in LNG Supply Chain [J].
Dobrota, Dorde ;
Lalic, Branko ;
Komar, Ivan .
TRANSACTIONS ON MARITIME SCIENCE-TOMS, 2013, 2 (02) :91-100
[7]   Economic Feasibility of Power Generation by Recovering Cold Energy during LNG (Liquefied Natural Gas) Regasification [J].
Dutta, Arnab ;
Karimi, Iftekhar A. ;
Farooq, Shamsuzzaman .
ACS SUSTAINABLE CHEMISTRY & ENGINEERING, 2018, 6 (08) :10687-10695
[8]   Heating Value Reduction of LNG (Liquefied Natural Gas) by Recovering Heavy Hydrocarbons: Technoeconomic Analyses Using Simulation-Based Optimization [J].
Dutta, Arnab ;
Karimi, Iftekhar A. ;
Farooq, Shamsuzzaman .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2018, 57 (17) :5924-5932
[9]  
Eberhart R., 1995, P 6 INT S MICR HUM S, P39, DOI DOI 10.1109/MHS.1995.494215
[10]   Comparison among five evolutionary-based optimization algorithms [J].
Elbeltagi, E ;
Hegazy, T ;
Grierson, D .
ADVANCED ENGINEERING INFORMATICS, 2005, 19 (01) :43-53