Naslov
Soft Sensor for Cold Filter Plugging Point Estimation in Crude Distillation Unit

Autori
Mohler, Ivan ; Ujević Andrijić, Željka ; Bolf, Nenad

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Proceeding of 8th European Congress of Chemical Engineering / - Berlin, 2011

Skup
8th European Congress of Chemical Engineering

Mjesto i datum
Berlin, Njemačka, 25.09.2011. - 29.09.2011

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
soft sensor; cold filter pluging point; identification; process control; crude distillation unit

Sažetak
Soft sensors for quality estimation of diesel fuel in the crude distillation unit (CDU) are developed. Due to the growing fuel quality norms and needs for various quality gradations of diesel fuel, continuous laboratory testing and product quality control are necessary. One of the key diesel fuel properties is cold filter plugging point which is determined only by laboratory assays. On the basis of available continuous measurements of temperatures and flows of the particular process streams, several soft sensor models for estimating cold filter plugging point have been developed and tested. Experimental data are obtained from the refinery distributed control system (DCS) and include continuously measured variables and laboratory assays. Data preprocessing included outlier removal, generating additional data by Multivariate Adaptive Regression Splines (MARSplines) algorithm, offset removal, detrending and filtering data. Soft sensors are developed using different linear and nonlinear identification techniques. From variety of developed models (ARMAX, Output Error, Nonlinear NARX, Hammerstein–Wiener and neural network-based) the best achieved results are shown. Statistical data analysis has been carried out and the results were critically judged. The results of the research show possibilities of applying software sensors for refinery product quality estimation of diesel fuel as an alternative for laboratory testing. In such way it is possible to estimate the quality of fuel continuously, as well as to apply inferential control and optimization methods.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo

POVEZANOST RADA