大连海事大学学报 >
2022 , Vol. 48 >Issue 3: 46 - 55
DOI: https://doi.org/10. 16411 / j. cnki. issn1006-7736. 2022. 03. 006
LNG动力集装箱船燃料冷能利用
收稿日期: 2022-03-23
修回日期: 2022-05-23
网络出版日期: 2022-05-23
基金资助
国家自然科学基金面上项目(52101401);中国石化青岛液化天然气有限责任公司科技项目(35150024-21-FW2099-0020);山东省自然科学基金面上项目(ZR2021ME156)
LNG powered container ships fuel cold energy utilization
Received date: 2022-03-23
Revised date: 2022-05-23
Online published: 2022-05-23
针对 LNG 动力集装箱船燃料释放冷能较多且δ被利用的问题,设计一套将 LNG 冷能用于冷藏集装箱系统、船舶 冷库和空调系统的 LNG 冷能梯级利用方案,采用
Aspen HYSYS 软件对系统进行流程模拟,得到关键节点的主要参数;通过计算,得到整个系统和主要设备的 效率,并以提高整个系统的 效率为目标,各用冷系统的 效率为依据,分析影响各用冷系统 效率的关键参数,进而对整个系统进行优化,得到最佳的运行参数。 结果表明,冷ý进口温度的升高可以提高冷藏集装箱系统的 效率;降低冷ý的进口温度可以提高船舶冷库和空调系统的 效率,优化后的整个系统的 效率达到 27. 61%,较优化前提高了4. 61%。
关键词: LNG动力集装箱船; LNG冷能; 梯级利用; ?效率; Aspen HYSYS
吴斌 , 王亮 , 李博洋 , 王恺 , 李雅静 . LNG动力集装箱船燃料冷能利用[J]. 大连海事大学学报, 2022 , 48(3) : 46 -55 . DOI: 10. 16411 / j. cnki. issn1006-7736. 2022. 03. 006
Aiming at the problem that the fuel of L NG power ed co ntai ner sh ip re leases m ore cold energy an d was no t use d, a set of LN G c old e nergy cascad e utilization s cheme was de- signe d to use L NG col d ene rgy in refrigerate d contain er sys- tem, ship cold storage and air conditioning system. AspenHYSY S so ftwar e was used t o s imu late the syst em process, and obtain the main par amete rs of ke y no des. By calculat ion, the exergy effic iency o f w hole syste m an d main eq ui pment was ob- tain ed, an d a ime d at im proving th e efficie ncy of whole sys tem and based on t he exergy effi ciency of e ac h cool ing syst em, the key parameters affe cting the efficien cy of ea ch c ooling syst em were a naly zed, and then the whole s ystem was o ptimiz ed to obt ain the b est op erating par amete rs. The resu lts s how that the increa se of the ref rige rant in let tempe rature c an i mprove the ex ergy efficiency of the reefer conta iner system, the reduc- tion of th e r efrig erant in let te mperatu re c an improve the e xergy effici ency of the ship’s col d storag e and air- co ndit ioning sys- tem , after o ptimization , the ex ergy effi ciency of the who le sys- tem reaches 27. 61%, which is 4. 61% higher than that before opti mization.
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