Design, analysis, and multi-objective optimization of LNG cold energy cascade utilization CCHP system including ORC, cold storage, and data center cooling

IF 2.1 3区工程技术 Q3 PHYSICS, APPLIED

Cryogenics Pub Date : 2025-07-31 DOI:10.1016/j.cryogenics.2025.104152

Yang Ting , Pan Zhen , Lv Zhenbo , Shang Liyan , Yu Jingxian

{"title":"Design, analysis, and multi-objective optimization of LNG cold energy cascade utilization CCHP system including ORC, cold storage, and data center cooling","authors":"Yang Ting , Pan Zhen , Lv Zhenbo , Shang Liyan , Yu Jingxian","doi":"10.1016/j.cryogenics.2025.104152","DOIUrl":null,"url":null,"abstract":"<div><div>To effectively recover LNG cold energy and waste heat from flue gas, a novel LNG cold energy cascade utilization system was constructed using Aspen HYSYS software. The system consists of a triple-stage ORC power generation system, a cold storage system, and a data centre cooling system. The performance of the proposed system was evaluated in detail through thermodynamic and economic analyses. The effects of several key parameters on system performance were studied, and the system’s performance was optimized using the Multi-Objective Sunflower Optimization (MOSFO) and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). After investigating the suggested system’s ideal performance, it was shown that MOSFO performs better than NSGA-II. According to the findings, the suggested system has a net power production of 1781.87 kW under beginning conditions, a payback period of 2.16 years, a total investment cost of 4,630,135.92 $, a thermal efficiency of 53.08 %, and an exergy efficiency of 30.14 %. Following optimization, the payback period was shortened by 0.05 years and the exergy efficiency rose by 1.83 %.</div></div>","PeriodicalId":10812,"journal":{"name":"Cryogenics","volume":"150 ","pages":"Article 104152"},"PeriodicalIF":2.1000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cryogenics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0011227525001316","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHYSICS, APPLIED","Score":null,"Total":0}

引用次数: 0

Abstract

To effectively recover LNG cold energy and waste heat from flue gas, a novel LNG cold energy cascade utilization system was constructed using Aspen HYSYS software. The system consists of a triple-stage ORC power generation system, a cold storage system, and a data centre cooling system. The performance of the proposed system was evaluated in detail through thermodynamic and economic analyses. The effects of several key parameters on system performance were studied, and the system’s performance was optimized using the Multi-Objective Sunflower Optimization (MOSFO) and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). After investigating the suggested system’s ideal performance, it was shown that MOSFO performs better than NSGA-II. According to the findings, the suggested system has a net power production of 1781.87 kW under beginning conditions, a payback period of 2.16 years, a total investment cost of 4,630,135.92 $, a thermal efficiency of 53.08 %, and an exergy efficiency of 30.14 %. Following optimization, the payback period was shortened by 0.05 years and the exergy efficiency rose by 1.83 %.

查看原文本刊更多论文

LNG冷能串级利用CCHP系统（包括ORC、冷库和数据中心冷却）的设计、分析和多目标优化

为有效回收烟气中的LNG冷能和余热，利用Aspen HYSYS软件构建了新型LNG冷能梯级利用系统。该系统由三级ORC发电系统、冷库系统和数据中心冷却系统组成。通过热力学和经济分析对系统的性能进行了详细评价。研究了几个关键参数对系统性能的影响，并采用多目标向日葵优化算法（MOSFO）和非支配排序遗传算法II （NSGA-II）对系统性能进行了优化。通过对所建议系统的理想性能进行研究，结果表明MOSFO的性能优于NSGA-II。结果表明，该系统初始条件下的净发电量为1781.87 kW，投资回收期为2.16年，总投资成本为4,630,135.92美元，热效率为53.08%，火用效率为30.14%。优化后投资回收期缩短0.05年，能源效率提高1.83%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Cryogenics 物理-热力学

CiteScore

3.80

自引率

9.50%

发文量

审稿时长

2.1 months

期刊介绍： Cryogenics is the world''s leading journal focusing on all aspects of cryoengineering and cryogenics. Papers published in Cryogenics cover a wide variety of subjects in low temperature engineering and research. Among the areas covered are: - Applications of superconductivity: magnets, electronics, devices - Superconductors and their properties - Properties of materials: metals, alloys, composites, polymers, insulations - New applications of cryogenic technology to processes, devices, machinery - Refrigeration and liquefaction technology - Thermodynamics - Fluid properties and fluid mechanics - Heat transfer - Thermometry and measurement science - Cryogenics in medicine - Cryoelectronics