Optimal Process Design of Hydrogen Production Using Response Surface Methodology

被引:0
作者
Kim, Boeun [1 ]
Heo, Seongmin [2 ]
Ryu, Kyung Hwan [3 ]
机构
[1] Princeton Univ, Andlinger Ctr Energy & Environm, Princeton, NJ 08544 USA
[2] Dankook Univ, Dept Chem Engn, Yongin 16890, South Korea
[3] Sunchon Natl Univ, Dept Chem Engn, Sunchon 57922, South Korea
来源
IFAC PAPERSONLINE | 2022年 / 55卷 / 07期
关键词
Process design framework; Model-free optimization; Response surface method; Central composite design; Techno-economic analysis; LIFE-CYCLE ASSESSMENT; TECHNOECONOMIC ANALYSIS; CO2; PERFORMANCE;
D O I
10.1016/j.ifacol.2022.07.512
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Conceptual process design is a key step to the commercialization of novel technologies, where a network of reaction-separation-recycle processes is synthesized to produce target products from given raw materials. Such design is often realized using commercial process simulators (e.g., Aspen Plus, gPROMS) to calculate mass and energy balances, which can then be used as a basis for the evaluation through, for example, techno-economic analysis and life cycle assessment. In such evaluation, the reference design is very important as it forms the foundation for further analysis such as sensitivity analysis. However, it is typically determined heuristically, leading to a design with suboptimal (or even poor) evaluation metrics. To address this problem, in this work, model-free design of experiment methods are implemented to optimize process designs developed using Aspen Plus. Performances of different methods are compared using representative chemical process examples. Copyright (C) 2022 The Authors.
引用
收藏
页码:620 / 625
页数:6
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