| | SLO | ENG | Piškotki in zasebnost

Večja pisava | Manjša pisava

Izpis gradiva Pomoč

Naslov:Anaerobic digestion BioModel upgraded by various inhibition types
Avtorji:ID Kegl, Tina (Avtor)
Datoteke:.pdf 1-s2.0-S0960148124004920-main.pdf (14,85 MB)
MD5: 83677A9006EE0736B0BCB74C3985DD3A
 
URL https://www.sciencedirect.com/science/article/pii/S0960148124004920?via%3Dihub
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FKKT - Fakulteta za kemijo in kemijsko tehnologijo
Opis:This work deals with numerical simulation of the anaerobic digestion process. Special attention is focused on the inhibitions modeling. For this purpose, an existing complex BioModel is upgraded by adequate modeling of non-competitive, competitive, and uncompetitive inhibition types. The obtained results of sensitivity analysis shows that various inhibition constants are ranged within the most important model parameters. For each inhibition type, the upgraded model is calibrated and validated with respect to the measured anaerobic digestion performance in CSTR bioreactors of a full scale biogas plant in period of two years. The obtained statistical indicators differ up to 5% in model calibration and validation. The best values of relative index of agreement for CH4 and H2S flow rates were obtained when using competitive inhibition; their values were 0.9385 and 0.7903, respectively. For H2 flow rate and pH value, the best indices of 0.7945 and 0.6593 were obtained with uncompetitive inhibition. For biogas flow rate, the best index of 0.9518 was obtained when using non-competitive inhibition. Since no inhibition type delivers best results in all situations, further research is needed to model mixed inhibition type for various inhibitors.
Ključne besede:BioModel, inhibition modeling, model parameters calibration, active set optimization procedure, gadient-based optimization
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:10.09.2023
Datum sprejetja članka:30.03.2024
Datum objave:31.03.2024
Založnik:Elsevier
Leto izida:2024
Št. strani:16 str.
Številčenje:Vol. 226, [article no.] 120427
PID:20.500.12556/DKUM-90153 Novo okno
UDK:66.02
COBISS.SI-ID:191356163 Novo okno
DOI:10.1016/j.renene.2024.120427 Novo okno
ISSN pri članku:1879-0682
Avtorske pravice:© 2024 The Author
Datum objave v DKUM:23.08.2024
Število ogledov:245
Število prenosov:25
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
:
Kopiraj citat
  
Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
Objavi na:Bookmark and Share



Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše podrobnosti ali sproži prenos.

Gradivo je del revije

Naslov:Renewable energy
Skrajšan naslov:Renew. energy
Založnik:Elsevier
ISSN:1879-0682
COBISS.SI-ID:527034905 Novo okno

Gradivo je financirano iz projekta

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P2-0414
Naslov:Procesna sistemska tehnika in trajnostni razvoj

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P2-0032
Naslov:Procesna sistemska tehnika in trajnostni razvoj

Financer:L’Oréal- UNESCO, Slovenia
Program financ.:“For Women in Science 2022”

Financer:World Federation of Scientists for year 2023/2024

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:biomodeli, inhibicijsko modeliranje, kalibracija, optimizacija


Komentarji

Dodaj komentar

Za komentiranje se morate prijaviti.

Komentarji (0)
0 - 0 / 0
 
Ni komentarjev!

Nazaj
Logotipi partnerjev Univerza v Mariboru Univerza v Ljubljani Univerza na Primorskem Univerza v Novi Gorici