Naslov
Application of Soft Sensor for Monitoring and Control of Refinery Emission

Autori
Mohler, Ivan ; Golob, Marjan ; Bolf, Nenad ; Galinec, Goran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Avtomatizacija v industriji in gospodarstvu 2009 / Tovornik, Boris - Maribor : Društvo automatikov Slovenije, 2009

Skup
Avtomatizacija v industriji in gospodarstvu 2009

Mjesto i datum
Maribor, Slovenija, 29.03.2009. - 03.07.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
soft sensor; process modeling and identification; refinery; sulphur recovery unit

Sažetak
This paper elaborates methods of soft sensor development for dynamic model identification and process control of Sulphur Recovery Unit (SRU) in refinery production. Experimental data are acquired from refinery unit and include available on-line measured variables and on-line analysis. The results are soft sensor models for optimal control of SRU with aim to minimize SO2 and H2S emissions. The soft sensors were developed conducting multiple linear regression analysis and using neural network-based and fuzzy logic models. From a variety of different model structures the best results were achieved with multi-layer perceptrons and neuro-fuzzy soft sensor models.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo

POVEZANOST RADA