Exergy analysis of base and optimized high pressure feed water heating system from nuclear power plant

Mrzljak, Vedran; Prpić-Oršić, Jasna; Medica- Viola, Vedran; Senčić Tomislav

Pregled bibliografske jedinice broj: 1129966

Exergy analysis of base and optimized high pressure feed water heating system from nuclear power plant

Mrzljak, Vedran; Prpić-Oršić, Jasna; Medica- Viola, Vedran; Senčić Tomislav

Exergy analysis of base and optimized high pressure feed water heating system from nuclear power plant // IX International Scientific Conference TECHNICS. TECHNOLOGIES. EDUCATION. SAFETY. 2021 - PROCEEDINGS - VOLUME 1 / Tokarev, Alexander (ur.).
Sofija: Scientific technical union of mechanical engineering Industry - 4.0, 2021. str. 5-8 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

CROSBI ID: 1129966 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Exergy analysis of base and optimized high pressure feed water heating system from nuclear power plant

Autori
Mrzljak, Vedran ; Prpić-Oršić, Jasna ; Medica- Viola, Vedran ; Senčić Tomislav

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

Izvornik
IX International Scientific Conference TECHNICS. TECHNOLOGIES. EDUCATION. SAFETY. 2021 - PROCEEDINGS - VOLUME 1 / Tokarev, Alexander - Sofija : Scientific technical union of mechanical engineering Industry - 4.0, 2021, 5-8

Skup
IX International Scientific Conference: Technics, Technologies, Education, Safety

Mjesto i datum
Borovec, Bugarska, 07.06.2021. - 10.06.2021

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Feed water heating system ; Exergy analysis ; Optimization ; Ambient temperature change ; Nuclear power plant

Sažetak
In this paper is performed exergy analysis of high pressure feed water heating system and all of its components which operates in nuclear power plant. Four cases are observed: system operation in the base case and system operation in three optimized cases. Exergy analysis show that optimization by using different algorithms has a different influence on the exergy destructions, while all the algorithms increase whole system and its components exergy efficiencies. An increase in the ambient temperature increases exergy destructions and decrease exergy efficiencies of the whole observed system and its components, regardless of operation case. The highest exergy efficiency of the whole analyzed system is 96.12% and is obtained by using an IGSA algorithm at the lowest observed ambient temperature of 5 °C. By observing exergy destructions only, it should be noted that GA and IGSA algorithms give almost identical results.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

POVEZANOST RADA

Projekti:
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)
--KK.01.2.2.03.0004 - Centar kompetencija za pametne gradove (CEKOM) (Car, Zlatan; Slavić, Nataša; Vilke, Siniša) ( 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)
--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)