prikaz prve stranice dokumenta Energijska i eksergijska analiza nuklearne elektrane na različitim opterećenjima
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undergraduate thesis
Energijska i eksergijska analiza nuklearne elektrane na različitim opterećenjima
2021. urn:nbn:hr:190:162950
Antolić, Marija
University of Rijeka
Faculty of Engineering
Department of Thermodynamics and Energy Engineering
Section of Process Energy Engineering and Environment Protection

Cite this document

Antolić, M. (2021). Energijska i eksergijska analiza nuklearne elektrane na različitim opterećenjima (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:162950

Antolić, Marija. "Energijska i eksergijska analiza nuklearne elektrane na različitim opterećenjima." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:162950

Antolić, Marija. "Energijska i eksergijska analiza nuklearne elektrane na različitim opterećenjima." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:162950

Antolić, M. (2021). 'Energijska i eksergijska analiza nuklearne elektrane na različitim opterećenjima', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 03 July 2024, https://urn.nsk.hr/urn:nbn:hr:190:162950

Antolić M. Energijska i eksergijska analiza nuklearne elektrane na različitim opterećenjima [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2021 [cited 2024 July 03] Available at: https://urn.nsk.hr/urn:nbn:hr:190:162950

M. Antolić, "Energijska i eksergijska analiza nuklearne elektrane na različitim opterećenjima", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:190:162950

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Metadata
TitleEnergijska i eksergijska analiza nuklearne elektrane na različitim opterećenjima
Title (english)Energy and exergy analysis of nuclear power plant at various loads
AuthorMarija Antolić
MentorVedran Mrzljak (mentor)
Committee memberRobert Basan (predsjednik povjerenstva)
Committee memberZlatan Car (član povjerenstva)
Committee memberVladimir Glažar (član povjerenstva)
Committee memberVedran Mrzljak (član povjerenstva)
Committee memberMelita Štefan Trubić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Thermodynamics and Energy Engineering)
(Section of Process Energy Engineering and Environment Protection)
Rijeka
Defense date and country2021-09-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U ovom radu izvedene su energijska i eksergijska analiza postrojenja nuklearne elektrane za različite režime rada: originalni režim rada i tri radna režima dobivena različitim optimizacijskim algoritmima. Optimizacijski algoritmi (Improved Genetic Simplex Algorithm -IGSA, Genetic Algorithm -GA, Simplex Algorithm -SA) koriste se za povećanje iskoristivosti postrojenja. Promatran je utjecaj algoritama na komponente sustava, te je izvedena usporedba energijskih i eksergijskih iskoristivosti i gubitaka dobivenih algoritmima, s obzirom na originalan režim rada, za svaku komponentu i cjelokupno postrojenje. Obzirom na cijelo postrojenje, IGSA algoritmom dobivena je najveća snaga i najveća iskoristivost, čime on pokazuje svoju dominantnu funkciju u odnosu na ostale algoritme i originalni režim rada. Promatrajući pojedine komponente cijelog postrojenja, utvrđeno je kako svi korišteni optimizacijski algoritmi poboljšavaju radne performanse komponenti u odnosu na originalni režim. No za sve komponente promatranog postrojenja IGSA algoritam ne pokazuje dominantnu ulogu u odnosu na ostale korištene optimizacijske algoritme.
Abstract (english)
In this paper energy and exergy analysis of a nuclear power plant is performed for different operating regimes: original operating regime and three operating regimes obtained by different optimization algorithms. Optimization algorithms (Improved Genetic Simplex Algorithm -IGSA, Genetic Algorithm -GA, Simplex Algorithm -SA) are used for increasing the overall efficiency of a power plant. The impact the algorithms had on the system components has been observed and the energy and exergy efficiencies and losses of algorithms, for each component as well as the whole plant, have been compared to the original operating regime. Considering the whole power plant, IGSA algorithm provides the highest power and efficiency, what proves its dominance over the other algorithms and in comparison to the original operating regime. When components of the power plant are observed, it is found that all used optimization algorithms increase its operating performances in comparison to the original operating regime. However, for all the components, IGSA algorithm did not show its dominance over other used optimization algorithms.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:162950
Study programmeTitle: Mechanical Engineering
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (stručni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
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Created on2021-10-13 12:23:56