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Pregled bibliografske jedinice broj: 1213568

Selection of Gensets Using Multicriteria Analysis


Barešić, Dejan; Hederić, Željko; Barukčić, Marinko
Selection of Gensets Using Multicriteria Analysis // Journal of Power Technologies, 102 (2022), 2; 56-67 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1213568 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Selection of Gensets Using Multicriteria Analysis

Autori
Barešić, Dejan ; Hederić, Željko ; Barukčić, Marinko

Izvornik
Journal of Power Technologies (2083-4187) 102 (2022), 2; 56-67

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

Ključne riječi
fuel consumption ; energy management ; hierarchy process ; system optimization emissions part

Sažetak
The paper presents a procedure for the optimal selection of diesel generators used to supply electrical units in military camps. Using a multi- criteria analysis based on the criteria presented in the paper, a new method is introduced that's not been used before for making decisions on optimal equipment. Daily load curves were created for the selection of diesel generators. These curves, together with the performance diagrams, served as the basis for calculating diesel consumption. The results allow an accurate assessment of the relative importance of the criteria used in the multi-criteria analysis. In addition to fuel consumption, other criteria such as maintenance costs, reliability, noise level, etc. were also examined. Their relative importance was assigned on the basis of technical documentation and existing maintenance records showing the frequency of breakdowns and maintenance costs. The AHP method was used to solve problems with multiple criteria. The results were processed using Expert Choice software. The analysis showed that an appropriate choice of diesel generator power can lead to lower fuel consumption. The results based on the established criteria show that the optimal choice is a 100 kW diesel generator.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Strojarstvo, Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Poveznice na cjeloviti tekst rada:

papers.itc.pw.edu.pl

Citiraj ovu publikaciju:

Barešić, Dejan; Hederić, Željko; Barukčić, Marinko
Selection of Gensets Using Multicriteria Analysis // Journal of Power Technologies, 102 (2022), 2; 56-67 (međunarodna recenzija, članak, znanstveni)
Barešić, D., Hederić, Ž. & Barukčić, M. (2022) Selection of Gensets Using Multicriteria Analysis. Journal of Power Technologies, 102 (2), 56-67.
@article{article, author = {Bare\v{s}i\'{c}, Dejan and Hederi\'{c}, \v{Z}eljko and Baruk\v{c}i\'{c}, Marinko}, year = {2022}, pages = {56-67}, keywords = {fuel consumption, energy management, hierarchy process, system optimization emissions part}, journal = {Journal of Power Technologies}, volume = {102}, number = {2}, issn = {2083-4187}, title = {Selection of Gensets Using Multicriteria Analysis}, keyword = {fuel consumption, energy management, hierarchy process, system optimization emissions part} }
@article{article, author = {Bare\v{s}i\'{c}, Dejan and Hederi\'{c}, \v{Z}eljko and Baruk\v{c}i\'{c}, Marinko}, year = {2022}, pages = {56-67}, keywords = {fuel consumption, energy management, hierarchy process, system optimization emissions part}, journal = {Journal of Power Technologies}, volume = {102}, number = {2}, issn = {2083-4187}, title = {Selection of Gensets Using Multicriteria Analysis}, keyword = {fuel consumption, energy management, hierarchy process, system optimization emissions part} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)





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