Pregled bibliografske jedinice broj: 831490
The quality analyses of olive cake fuel pellets – Mathematical approach
The quality analyses of olive cake fuel pellets – Mathematical approach // Hemijska industrija, 70 (2016), 1; 37-48 doi:10.2298/HEMIND140911008B (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 831490 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The quality analyses of olive cake fuel pellets – Mathematical approach
Autori
Brlek, Tea ; Pezo, Lato ; Voća, Neven ; Vukmirović, Đuro ; Čolović, Radmilo ; Kiš, Darko ; Brkljača, Jovana
Izvornik
Hemijska industrija (0367-598X) 70
(2016), 1;
37-48
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Olive cake ; olive cultivar ; agro-pellets ; pelleting ; mathematical model
Sažetak
This article investigates the effect of processing parameters (conditioning temperature and binder content), on final quality of produced agro-pellets for heat energy generation, obtained from four different olive cultivars using different technological parameters. Technological, physical and chemical properties of pellets (carbon, hydrogen, nitrogen and sulphur content, particle density, abrasion length, moisture, ash content, higher and lower heating values, fixed carbon and volatile matter content) have been determined to assess their quality. The performance of Artificial Neural Network (ANN) was compared with the performance of second order polynomial (SOP) model, as well as with the obtained experimental data in order to develop rapid and accurate mathematical model for prediction of final quality parameters of agro-pellets. SOP model showed high coefficients of determination (r2), between 0.692 and 0.955, while ANN model showed high prediction accuracy with r2 between 0.544 and 0.994.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)
POVEZANOST RADA
Ustanove:
Fakultet agrobiotehničkih znanosti Osijek,
Agronomski fakultet, Zagreb
Profili:
Darko Kiš
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus