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Efficiency enhancement for natural gas liquefaction with CO2 capture and sequestration through cycles innovation and process optimization.

机译:通过循环创新和工艺优化,利用二氧化碳捕获和封存技术提高天然气液化的效率。

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摘要

Liquefied natural gas (LNG) plants are energy intensive. As a result, the power plants operating these LNG plants emit high amounts of CO2 . To mitigate global warming that is caused by the increase in atmospheric CO2, CO2 capture and sequestration (CCS) using amine absorption is proposed. However, the major challenge of implementing this CCS system is the associated power requirement, increasing power consumption by about 15--25%. Therefore, the main scope of this work is to tackle this challenge by minimizing CCS power consumption as well as that of the entire LNG plant though system integration and rigorous optimization.;The power consumption of the LNG plant was reduced through improving the process of liquefaction itself. In this work, a genetic algorithm (GA) was used to optimize a propane pre-cooled mixed-refrigerant (C3-MR) LNG plant modeled using HYSYS software. An optimization platform coupling Matlab with HYSYS was developed. New refrigerant mixtures were found, with savings in power consumption as high as 13%. LNG plants optimization with variable natural gas feed compositions was addressed and the solution was proposed through applying robust optimization techniques, resulting in a robust refrigerant which can liquefy a range of natural gas feeds.;The second approach for reducing the power consumption is through process integration and waste heat utilization in the integrated CCS system. Four waste heat sources and six potential uses were uncovered and evaluated using HYSYS software. The developed models were verified against experimental data from the literature with good agreement. Net available power enhancement in one of the proposed CCS configuration is 16% more than the conventional CCS configuration. To reduce the CO2 pressurization power into a well for enhanced oil recovery (EOR) applications, five CO2 pressurization methods were explored. New CO2 liquefaction cycles were developed and modeled using HYSYS software. One of the developed liquefaction cycles using NH3 as a refrigerant resulted in 5% less power consumption than the conventional multi-stage compression cycle.;Finally, a new concept of providing the CO2 regeneration heat is proposed. The proposed concept is using a heat pump to provide the regeneration heat as well as process heat and CO2 liquefaction heat. Seven configurations of heat pumps integrated with CCS were developed. One of the heat pumps consumes 24% less power than the conventional system or 59% less total equivalent power demand than the conventional system with steam extraction and CO2 compression.
机译:液化天然气(LNG)厂耗能大。结果,运行这些LNG装置的发电厂排放大量的CO 2。为了缓解由大气中CO2的增加引起的全球变暖,提出了利用胺吸收的CO2捕获和封存(CCS)。但是,实施此CCS系统的主要挑战是相关的电源需求,使功耗增加了大约15--25%。因此,这项工作的主要范围是通过系统集成和严格的优化,通过最小化CCS以及整个LNG工厂的电力消耗来应对这一挑战;通过改进液化工艺来降低LNG工厂的电力消耗本身。在这项工作中,遗传算法(GA)用于优化使用HYSYS软件建模的丙烷预冷混合制冷剂(C3-MR)LNG工厂。开发了将Matlab与HYSYS耦合的优化平台。发现了新的制冷剂混合物,节省了高达13%的电力。解决了使用可变天然气进料组成的液化天然气工厂优化问题,并通过应用鲁棒的优化技术提出了解决方案,从而产生了可以使多种天然气进料液化的鲁棒制冷剂。降低能耗的第二种方法是通过工艺集成集成CCS系统中的余热利用。使用HYSYS软件发现并评估了四个废热源和六个潜在用途。对照文献中的实验数据对开发的模型进行了验证,吻合良好。提议的CCS配置之一的净可用功率增强比常规CCS配置高16%。为了将二氧化碳加压功率降低到井中以提高采油率(EOR)应用,研究了五种二氧化碳加压方法。使用HYSYS软件开发并建模了新的二氧化碳液化循环。与传统的多级压缩循环相比,使用NH3作为制冷剂开发的液化循环之一可减少5%的功耗。最后,提出了一种提供CO2再生热的新概念。提出的概念是使用热泵来提供再生热以及过程热和CO2液化热。开发了与CCS集成的七种热泵配置。其中一台热泵的能耗比传统系统少24%,而总等效功率需求则比传统系统少30%(蒸汽提取和CO2压缩)。

著录项

  • 作者

    Alabdulkarem, Abdullah.;

  • 作者单位

    University of Maryland, College Park.;

  • 授予单位 University of Maryland, College Park.;
  • 学科 Engineering Mechanical.;Energy.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 243 p.
  • 总页数 243
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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