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Life cycle based optimal design of utility system in offshore plants

机译:基于生命周期的海上植物公用事业系统的最优设计

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摘要

Offshore plants have many inherent constraints and risks compared to onshore plants, and it is crucial to optimize the operation of the offshore plant by adhering to constraints. Previous studies proposed a framework of utility systems that operate under various conditions. However, few studies have addressed the optimization of utility systems during the operating life cycle. To fill in this gap, we propose a new methodology for the design and optimization of the utility systems in the offshore plants. The utility systems are designed and optimized in Aspen Utilities Planner, considering the full life cycle of the oil and gas wells. For this, we first developed steady-state models of the topside processes based on every feasible operating scenario throughout the full life cycle. Then the utility consumption data was extracted from the simulation results and analyzed. The power system was designed using Aspen Utilities Planner (AUP), and it was optimized to maximize the thermal efficiency of the utility system, satisfying power demand for all the scenarios. The optimized results illustrate the significant saving of the operating cost and reduction of CO2 emission rate. Our studies suggest a generic framework to design utility systems in offshore plants.
机译:与陆上植物相比,海上植物具有许多固有的限制和风险,并且通过遵守限制来优化海上工厂的运作至关重要。以前的研究提出了一种在各种条件下运行的公用事业系统的框架。然而,很少有研究已经解决了在经营生命周期期间的公用事业系统的优化。要填补这一差距,我们提出了一种新的方法,用于近海厂的公用事业系统的设计和优化。本公用设施在Aspen Utilities Planner中设计和优化,考虑到石油和天然气井的全部生命周期。为此,我们首先根据整个生命周期的每个可行的操作场景开发出顶部过程的稳态模型。然后从仿真结果中提取实用程序消耗数据并分析。电源系统使用ASPEN Utilities Planner(AUP)设计,并优化以最大限度地提高公用事业系统的热效率,满足所有方案的电力需求。优化结果说明了显着节省了运营成本和二氧化碳排放率的降低。我们的研究表明,在海上植物中设计公用事业系统的通用框架。

著录项

  • 来源
    《The Korean journal of chemical engineering》 |2021年第4期|692-703|共12页
  • 作者单位

    Inha Univ Educ & Res Ctr Smart Energy & Mat Dept Chem & Chem Engn Incheon 22212 South Korea;

    Inha Univ Dept Smart Digital Engn Incheon 22212 South Korea;

    Inha Univ Educ & Res Ctr Smart Energy & Mat Dept Chem & Chem Engn Incheon 22212 South Korea;

    Inha Univ Educ & Res Ctr Smart Energy & Mat Dept Chem & Chem Engn Incheon 22212 South Korea|Inha Univ Dept Smart Digital Engn Incheon 22212 South Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Modeling; Offshore Plant; Optimization; Topside Process; Utility System;

    机译:建模;海上植物;优化;顶部过程;公用事业系统;

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