Naslov
Exploring adsorptive desulfurization of diesel fuel applying DOE

Autori
Mužic, Marko ; Sertić-Bionda, Katica ; Adžamić, Tamara ; Gomzi, Zoran ; Telen, Sanda

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

Izvornik
Proceedings of the 34th International Conference of Slovak Society of Chemical Engineering / Markoš, Jozef ; Štefuca, Vladimir ; - Bratislava : Slovak Society of Chemical Engineering, 2007

ISBN
978-80-227-2640-5

Skup
34th International Conference of Slovak Society of Chemical Engineering

Mjesto i datum
Tatranské Matliare, Slovačka, 21.05.2007. - 25.05.2007

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
adsorption; desulfurization; diesel; Design of Experiments; activated carbon

Sažetak
Alternative processes for desulfurization of transportation fuels are receiving increasing attention due to increasingly stringent regulations and fuel specifications in many countries for environmental protection purposes. Adsorption technology has been proposed for the removal of sulfur compounds in fuels. Compared to the hydrodesulfurization process, the adsorptive removal of sulfur compounds seems very promising since adsorption can be accomplished at low temperature and pressure, and the sulfur in fuels can be removed to a very low level. Design of Experiments, DOE, is a powerful statistical tool for exploring new processes or gaining detailed comprehension of existing ones, and then optimizing those processes. In this work organic sulfur compounds were removed from diesel fuel by selective adsorption with different types of commercial activated carbons. Adsorption was carried out in batch adsorbers. The model of the process was developed by way of two-level fractional factorial experimental design with four process parameters. Total sulfur content was measured with wave dispersive x-ray fluorescent spectrometer. Activated carbon Chemviron Carbon SOLCARB™ C3 has given the best desulfurization results. The process is well described within the experimental region by the developed model which was statistically validated.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo

POVEZANOST RADA