SDG-based Model Validation in Chemical Process Simulation

doi:10.1016/S1004-9541(13)60554-6

Abstract

Abstract: Signed direct graph (SDG) theory provides algorithms and methods that can be applied directly to chemical process modeling and analysis to validate simulation models, and is a basis for the development of a software environment that can automate the validation activity. This paper is concentrated on the pretreatment of the model validation. We use the validation scenarios and standard sequences generated by well-established SDG model to validate the trends fitted from the simulation model. The results are helpful to find potential problems, assess possible bugs in the simulation model and solve the problem effectively. A case study on a simulation model of boiler is presented to demonstrate the effectiveness of this method.

Key words: model validation, signed direct graph, chemical process, qualitative trend

摘要： Signed direct graph (SDG) theory provides algorithms and methods that can be applied directly to chemical process modeling and analysis to validate simulation models, and is a basis for the development of a software environment that can automate the validation activity. This paper is concentrated on the pretreatment of the model validation. We use the validation scenarios and standard sequences generated by well-established SDG model to validate the trends fitted from the simulation model. The results are helpful to find potential problems, assess possible bugs in the simulation model and solve the problem effectively. A case study on a simulation model of boiler is presented to demonstrate the effectiveness of this method.

关键词: model validation, signed direct graph, chemical process, qualitative trend

ZHANG Beike, XU Xin, MA Xin, WU Chongguang. SDG-based Model Validation in Chemical Process Simulation[J]. Chin.J.Chem.Eng., 2013, 21(8): 876-885.

张贝克, 许欣, 马昕, 吴重光. SDG-based Model Validation in Chemical Process Simulation[J]. Chinese Journal of Chemical Engineering, 2013, 21(8): 876-885.

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