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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received April 27, 2005
Accepted February 27, 2006
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Characterization of crude feed and products from operating conditions by using continuous probability functions and inferential models

Department of Chemical and Bio-chemical Engineering, Dongguk University, 3-26, Pil-dong, Choong-gu, Seoul 100-715, Korea
sjpark@dgu.edu
Korean Journal of Chemical Engineering, July 2006, 23(4), 517-521(5), 10.1007/BF02706788
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Abstract

The purpose of this paper is to provide information for the characterization of the products and feed of a crude fractionator, hard to get from a hardware system, by using probability function and inferential model of realtime operating conditions. TBP is a major characteristic of CDU products and feed. It has become possible to consider that the TBP of component can be predicted by using an inferential modeling technique such as partial least square (PLS) or artificial neural network. On the other hand, knowing that the characteristic of each product of a crude distillation unit follows a continuous probability distribution function, variables of the probability distribution function can be calculated from operating conditions in the same way. In general, the proposed model can provide a tool for doing more efficient operations to maximize profit.

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