Authors: Rahimi-Adli, Keivan
Schiermoch, Patrick D.
Beisheim, Benedikt
Wenzel, Simon
Engell, Sebastian
Title: A model identification approach for the evaluation of plant efficiency
Language (ISO): en
Abstract: Regulations and the public expectations on improving efficiency, reducing the carbon footprint and lowering the environmental impact drive the process industry towards improved operation and the development of new technologies. The efficiency of an existing production plant depends on a variety of factors like capacity utilisation, raw material quality, ambient temperature or operational performance. Identifying the influence of these factors on the performance of the plant helps to take suitable measures to drive it towards a more efficient operation. One approach to assess the resource efficiency potential of a plant is the comparison of the actual performance with the best possible operation under the given circumstances. This work presents a surrogate modelling approach for the identification of the best possible operation based on historical data. The surrogate model is compared to a more detailed rigorous model and advantages and possible shortcomings of the surrogate approach are discussed based on real production data at INEOS in K¨oln.
Subject Headings: surrogate models
plant efficiency
energy management systems
model detail level
model identification
URI: http://hdl.handle.net/2003/39236
http://dx.doi.org/10.17877/DE290R-21153
Issue Date: 2019
Appears in Collections:Lehrstuhl Systemdynamik und Prozessfuehrung

Files in This Item:
File Description SizeFormat 
Keivan_RahimiAdli_ESCAPE29.pdf585.21 kBAdobe PDFView/Open


This item is protected by original copyright



Items in Eldorado are protected by copyright, with all rights reserved, unless otherwise indicated.