Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
An overview of different approaches in hydrogen network optimization via mathematical programming
Brazilian Journal of Operations & Production Management Pub Date : 2020-01-01 , DOI: 10.14488/bjopm.2020.031
Patricia Rodrigues Da Silva , Marcelo Escobar Aragão , Jorge Otávio Trierweiler , Luciane Ferreira Trierweiler

Goal: Hydrogen has shown increasing demand in oil refineries, due to the importance of its use as a sulfur capture element. As different oils and products require different amounts of hydrogen, their use optimally is an essential tool for refinery production scheduling. A comparison was made between the different approaches used in optimization via mathematical programming. Design / Methodology / Approach: One of the most used methods for hydrogen network optimization is through mathematical programming. Linear and non-linear models are discussed, positive aspects of each formulation and different initialization techniques for non-linear modeling were considered. Results: The optimization through the linear model was more satisfactory, taking into account the payback of the new proposed design, combined with the use of compressor rearrangement, which reduces the investment cost. Limitations of the investigation: The objective function chosen is based on the operational cost, but another approach to be considered would be the total annual cost. In addition, the parameters related to costs are obtained from the literature and may change over the years. Practical implications: The proposal is to discuss the main aspects of each model, showing which models more robust and easier to converge are capable of providing competitive results. Also, different initialization techniques that can be used in future works. Originality / Value: The main contribution is the relationship between hydrogen management and production scheduling and for that, a discussion is made about possible formulations. Linear model is sufficient to optimize the problem, due to its main characteristics discussed.

中文翻译:

通过数学编程优化氢网络的不同方法的概述

目标:由于炼油厂将其用作硫捕集元素的重要性,因此氢对炼油厂的需求不断增加。由于不同的油和产品需要不同量的氢气,因此优化使用它们是炼油厂生产计划中必不可少的工具。通过数学编程对用于优化的不同方法进行了比较。设计/方法/方法:氢网络优化最常用的方法之一是通过数学编程。讨论了线性和非线性模型,考虑了每种公式的积极方面以及非线性建模的不同初始化技术。结果:考虑到新提议的设计的回报以及结合使用压缩机重新布置,通过线性模型进行的优化更加令人满意。降低了投资成本。研究的局限性:选择的目标函数是基于运营成本的,但是要考虑的另一种方法是年度总成本。另外,与成本相关的参数是从文献中获得的,并且可能会随着时间的推移而变化。实际意义:建议是讨论每个模型的主要方面,以表明哪个模型更健壮和更易于收敛,能够提供竞争性结果。同样,可以在将来的工作中使用不同的初始化技术。原创性/价值:主要的贡献是氢气管理和生产计划之间的关系,为此,对可能的配方进行了讨论。由于讨论了线性模型的主要特征,因此线性模型足以优化问题。
更新日期:2020-01-01
down
wechat
bug