Thermodynamic Analysis of CO2 Closed-Cycle Gas Turbine for Marine Applications at Various Pressure Ratios

Mrzljak, Vedran; Štifanić, Daniel; Meštrić, Hrvoje; Car, Zlatan

doi:10.17559/TV-20200716182721

Pregled bibliografske jedinice broj: 1168153

Thermodynamic Analysis of CO2 Closed-Cycle Gas Turbine for Marine Applications at Various Pressure Ratios

Mrzljak, Vedran; Štifanić, Daniel; Meštrić, Hrvoje; Car, Zlatan

Thermodynamic Analysis of CO2 Closed-Cycle Gas Turbine for Marine Applications at Various Pressure Ratios // Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 29 (2022), 1; 51-59 doi:10.17559/TV-20200716182721 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 1168153 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Thermodynamic Analysis of CO2 Closed-Cycle Gas Turbine for Marine Applications at Various Pressure Ratios

Autori
Mrzljak, Vedran ; Štifanić, Daniel ; Meštrić, Hrvoje ; Car, Zlatan

Izvornik
Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku (1330-3651) 29 (2022), 1; 51-59

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Closed-cycle gas turbine ; CO2 ; Machine learning ; Multilayer perceptron ; Thermodynamic analysis ; Various pressure ratios

Sažetak
A thermodynamic analysis of CO2 closed-cycle gas turbine is presented in this paper. Two processes are investigated - base process and the same process upgraded with a heat regenerator. Maximum specific useful work is 159.94 kJ/kg for both observed processes. Involving of heat regenerator inside base CO2 closed-cycle gas turbine process requires attention due to required temperature differences - high pressure ratios cannot be obtained with a high efficiency heat regenerator. Base CO2 closed- cycle gas turbine process did not reach cycle efficiency higher than 25%, while for the upgraded process the cycle efficiency can reach 40% at high pressure ratio and for high regenerator efficiency. Additionally, multilayer perceptron is trained in order to achieve high quality models for estimating specific useful work and efficiency for both, base and upgraded process. As a result, MLP with three hidden layers achieved high values of R2 score.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Strojarstvo

POVEZANOST RADA

Projekti:
--KK.01.2.2.03.0004 - Centar kompetencija za pametne gradove (CEKOM) (Car, Zlatan; Slavić, Nataša; Vilke, Siniša) ( CroRIS)
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)
IP-2018-01-3739 - Sustav potpore odlučivanju za zeleniju i sigurniju plovidbu brodova (DESSERT) (Prpić-Oršić, Jasna, HRZZ - 2018-01) ( CroRIS)
NadSve-Sveučilište u Rijeci-UNIRI_TEHNIC‐18‐18‐1146 - Nesigurnosti procjene brzine broda u pri realnim vremenskim uvjetima (Prpić-Oršić, Jasna, NadSve ) ( CroRIS)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-14 - Optimizacija dizalica topline i rashladnih sustava koji koriste radne tvari niskog utjecaja na globalno zatopljenje korištenjem numeričkih simulacija (Pavković, Branimir, NadSve - NATJEČAJ „UNIRI PROJEKTI“ Natječaj za dodjelu sredstava potpore znanstvenim istraživanjima na Sveučilištu u Rijeci za 2018. godinu - projekti iskusnih znanstvenika i umjetnika od 03. 09. 2018.) ( CroRIS)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-275-1447 - Razvoj inteligentnog ekspertnog sustava za online diagnostiku raka mokračnog mjehura (Car, Zlatan, NadSve - UNIRI potpore) ( CroRIS)
InoUstZnVO-CIII-HR-0108-10 - Concurrent Product and Technology Development - Teaching, Research and Implementation of Joint Programs Oriented in Production and Industrial Engineering (Car, Zlatan, InoUstZnVO - CEEPUS) ( CroRIS)
Ostalo-CEI - 305.6019-20 - Use of regressive artificial intelligence (AI) and machine learning (ML) methods in modelling of COVID-19 spread (COVIDAi) (Car, Zlatan, Ostalo - CEI Extraordinary Call for Proposals 2020) ( CroRIS)