On the Development of Optimal Process Design Knowledge Using Semantic Models

被引：0
|
作者：
Labrador-Darder, Claudia [1 ]
Kokossis, Antonis [1 ]
Linke, Patrick [1 ,2 ]
机构：
[1] Univ Surrey, Sch Engn, Ctr Proc & Informat Syst Engn, Guildford GU2 7XH, Surrey, England
[2] Texas A&M Univ Qatar, Dept Chem Engn, Education City, Qatar
来源：
DESIGN FOR ENERGY AND THE ENVIRONMENT | 2010年
关键词：
Optimisation; ontology; superstructure; reactor networks; STOCHASTIC OPTIMIZATION; REACTOR NETWORKS;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The paper presents a systematic approach to develop process synthesis knowledge that combines optimisation, semantic models (ontologies) and analytical tools. The work addresses the representation and extraction of process synthesis knowledge during the optimisation process with the purpose to simplify and interpret design results. The simplification is achieved with a gradual evolution of the design solutions and corresponding adjustments of the optimisation search. The interpretation is accomplished with the use of analytical tools to translate data into descriptive terms understood by users. Means of analysis include dynamic ontologies populated by computer experiments and continuously upgraded in the course of optimisation.
引用
收藏
页码：831 / 840
页数：10
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