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Retrofit Design of Hydrogen Network in Refineries: Mathematical Model and Global Optimization
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2018-03-30 00:00:00 , DOI: 10.1021/acs.iecr.7b04400
Anoop Jagannath 1 , Chandra Mouli R. Madhuranthakam 2 , Ali Elkamel 1, 3 , Iftekhar A. Karimi 4 , Ali Almansoori 1
Affiliation  

The problem of retrofit design of refinery hydrogen networks is addressed in this work, using the mathematical superstructure optimization. The superstructure of retrofit hydrogen network design contains hydrogen using, producing, and purifying units; along with compressors to facilitate hydrogen distribution. The developed mathematical model is formulated as a mixed integer nonlinear programming model (MINLP), with the objective being minimum total annual cost. The nonlinearity in the model is because of the bilinear, posynomia, and linear fractional terms. A new heuristic method is presented which helps in assigning suction and discharge pressures for the newly retrofitted compressor. With such an assignment, the nonlinearity in the model is now only confined to bilinear terms. This bilinear MINLP model is solved to global optimality using the proposed global optimization algorithm. Tests on some literature examples show that the proposed algorithm can reach global solutions faster than some commercial MINLP global solvers.

中文翻译:

炼油厂氢网改造设计:数学模型和全局优化

这项工作使用数学上层结构优化方法解决了炼油厂氢网络的改造设计问题。改造氢气网络设计的上部结构包含氢气的使用,生产和净化单元;连同压缩机以促进氢的分配。所开发的数学模型被公式化为混合整数非线性规划模型(MINLP),目标是使年度总成本最低。模型中的非线性是由于双线性项,正弦项和线性分数项。提出了一种新的启发式方法,该方法有助于为新改装的压缩机分配吸气和排气压力。通过这种分配,模型中的非线性现在仅限于双线性项。使用提出的全局优化算法将此双线性MINLP模型求解为全局最优。对一些文献示例的测试表明,与某些商业MINLP全局求解器相比,所提出的算法可以更快地达到全局求解。
更新日期:2018-03-30
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