• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Optimal process synthesis, design and operation for energy saving in natural gas processing.
【24h】

Optimal process synthesis, design and operation for energy saving in natural gas processing.

机译：优化工艺综合，设计和操作，以节省天然气加工的能源。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Natural gas nowadays becomes a hot topic in fuel industry. As one of the cleanest fossil fuels, recent discoveries on natural gas plays and newly developed technology on extracting unconventional natural gas have drawn worldwide attention. Amongst all the factors existing along liquid natural gas (LNG) value chain, natural gas liquefaction and LNG receiving terminal are the two that cost the most. In this dissertation, the main work is focused on the optimization for natural gas liquefaction process, and a novel design for a LNG receiving terminal that integrates LNG re-gasification and shale gas NGL recovery.;Natural gas liquefaction is an energy-intensive process. Energy efficiency maximization is the major objective in liquefaction process design and operation. In this dissertation, two chapters have been dedicated on the work of optimizing natural gas liquefaction process by reducing energy consumption. The first work employs trial-and- error method using Apen Plus, based on the thorough thermodynamic analysis of the liquefaction process. Using the thermodynamic analysis results, an optimization simulation is successfully undertaken, and the results before and after optimization are compared to validate previous analysis.;The second work presents a novel methodology for natural gas liquefaction optimization on energy consumption minimization. This methodology is based on mathematical programming and deterministic global optimization. LINDOGlobal solver is employed to solve the optimization problem. Comprehensive thermodynamic analysis is also conducted in related chapter in this dissertation, in order to give deep understanding of the LNG refrigeration system and optimization procedure.;Another major part in this dissertation is about a newly designed LNG receiving terminal. This design integrates LNG re-gasification with shale gas NGL recovery, so that the tremendous cold energy from LNG can be utilized through NGL fractionation process. Besides, traditional ways for LNG re-gasification that cause environment concerns, such as using sea water or natural gas itself, can also be reduced or even avoided.;In related chapter within this dissertation, a novel conceptual design by integrating NGL recovery from shale gas and LNG re-gasification at receiving terminals has been developed. An MILP model is developed for this design. This model helps select the optimal operating conditions for each fractionation columns, which causes lowest operation cost. Heat exchange network design and analysis are also conducted to fulfill this process design.;To take this design to another level, uncertainty of shale gas flowrate is considered in next step. The expected profit is maximized under the stochastic optimization approach, with the estimation of the probability distribution of shale gas flowrate. The fluctuation of shale gas flowrate is embedded with the MILP model. The final results and analysis are also presented in this work.
机译：如今，天然气已成为燃料行业的热门话题。作为最清洁的化石燃料之一，天然气的最新发现和提取非常规天然气的最新技术引起了全世界的关注。在液态天然气（LNG）价值链中存在的所有因素中，天然气液化和LNG接收站是成本最高的两个因素。本文的主要工作集中在天然气液化工艺的优化，以及将液化天然气再气化和页岩气NGL回收相结合的液化天然气接收站的新设计。天然气液化是一个能源密集的过程。最大限度地提高能效是液化工艺设计和操作的主要目标。本论文共分两章致力于通过降低能源消耗来优化天然气液化过程。基于对液化过程进行彻底的热力学分析，第一项工作采用了Apen Plus的反复试验方法。利用热力学分析结果，成功进行了优化模拟，并对优化前后的结果进行了比较，以验证先前的分析结果。第二项工作提出了一种新的天然气液化优化方法，以实现能耗最小化。该方法基于数​​学编程和确定性全局优化。 LINDOGlobal解算器用于解决优化问题。本论文的相关章节还对热力分析进行了全面的热力学分析，以便对LNG制冷系统和优化程序有较深入的了解。该设计将LNG再气化与页岩气NGL回收相结合，从而可以通过NGL分馏过程利用来自LNG的巨大冷能。此外，也可以减少甚至避免使用LNG再气化引起环境问题的传统方法，例如使用海水或天然气本身。在本论文的相关章节中，结合页岩NGL回收技术进行了新颖的概念设计。已经开发了接收终端的天然气和LNG再气化技术。为此设计开发了MILP模型。该模型有助于为每个分馏塔选择最佳操作条件，从而使操作成本最低。为了完成该过程设计，还进行了热交换网络设计和分析。为了使该设计更上一层楼，下一步考虑页岩气流量的不确定性。在估计页岩气流量概率分布的情况下，采用随机优化方法可使期望利润最大化。 MILP模型嵌入了页岩气流量的波动。最终结果和分析也显示在这项工作中。

著录项

  • 作者

    Wang, Meiqian.;

  • 作者单位

    Lamar University - Beaumont.;

  • 授予单位 Lamar University - Beaumont.;
  • 学科 Engineering Chemical.;Engineering Petroleum.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 184 p.
  • 总页数 184
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号