Utjecaj distribuirane proizvodnje električne energije na povećanje raspoloživosti napajanja u telekomunikacijskom i podatkovnom postrojenju

doctoral thesis

• Title (english): Influence of Distributed Electrical Energy Production on the Availability Enhancement in Telecommunication and Datacenter Facility
• Author: Domagoj Talapko; MBZ: -2150
• Mentor: Sejid Tešnjak (mentor)
• Committee member: Sejid Tešnjak (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Energy and Power Systems); Zagreb
• Defense date and country: 2020, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering
• Universal decimal classification (UDC): 621.3 - Electrical engineering

Abstract

Predmetna disertacija se bavi istraživanjem telekomunikacijske i podatkovne infrastrukture, njezine raspoloživosti i procesima odlučivanja u svrhu optimizacije dediciranih izvora energije. Kao glavni kriteriji za odlučivanje odabira prikladne arhitekture, zasnovane na različitim kombinacijama raznih distribuiranih izvora električne energije i spremnika energije kao i uporabe pojne mreže ističu se kapitalna ulaganja, operativni troškovi, emisija CO2 i rizici vezani za opskrbu energentima, s... More različitim težinskim faktorima. Predstavljeni su dinamički modeli interakcije pojedinih izvora energije temeljeni na Monte Carlo metodi. U svrhu kvantifikacije (kvalifikacije) rizika vezanih za opskrbu energentima korištena je neizrazita Delphi metoda, a u svrhu predviđanja vremenskih nizova generiranja električne energije iz obnovljivih izvora razvijeni su modeli temeljeni na neuronskim mrežama. Provedena je detaljna analiza troškova i koristi distribuiranih izvora. Analiza je zasnovana na TOPSIS metodi objedinjujući kapitalne i operativne troškove, emisiju CO2 i rizike opskrbe energentima. Uspostavljen je dinamički model izvora energije u pogledu operativnih troškova i emisije CO2. Zasnovan je sinergijski model raspoloživosti distribuiranih izvora energije cijelog postrojenja. Električne arhitekture su u cijelosti modelirane dinamičkim stablom kvara. Prikupljen je jedinstven set podataka sa detaljnim uvidom u raspoloživost napajanja podatkovnog centra u SAD-u. Temeljem istih, sinergijski model je uspješno verificiran. Less

Abstract (english)

The dissertation deals with the research of telecommunication and data infrastructure, its availability and decision-making processes in order to optimize dedicated energy sources. The main criteria for deciding on the selection of suitable architecture, based on different combinations of various distributed sources of electricity and energy storage as well as the use of the grid are capital investments, operating costs, CO2 emissions and risks related to energy supply, with different... More weighting factors. Dynamic models of interaction of individual energy sources based on the Monte Carlo method are presented. For the purpose of quantification (qualification) of risks related to energy supply, the fuzzy Delphi method was used, and for the purpose of predicting time series of electricity generation from renewable sources, models based on neural networks were developed. A detailed cost-benefit analysis of distributed sources was conducted. The analysis is based on the TOPSIS method, combining capital and operating costs, CO2 emissions and energy supply risks. A dynamic model of energy sources in terms of operating costs and CO2 emissions has been established. A synergistic model of the availability of distributed energy sources of the entire plant has been established. The electrical architectures are entirely modeled by a dynamic fault tree. A unique data set was collected with a detailed insight into the availability of data center power in the United States. Based on these, the synergy model was successfully verified. Less

• Keywords: Obnovljivi izvori energije; distribuirana proizvodnja; mikro mreže; podatkovni centar; raspoloživost; rizik; TOPSIS; neuronske mreže; neizrazita logika; Monte Carlo simulacija
• Keywords (english): Renewable energy; distributed generation; microgrid; data center; availability; risk; TOPSIS; neural networks; fuzzy logic; Monte Carlo simulation
• Language: croatian
• URN:NBN: urn:nbn:hr:168:062366
• Study programme: Title: Doctoral study programme "Electrical Engineering and Computing"; Study programme type: university; Study level: postgraduate; Academic / professional title: doktor/doktorica znanosti, po-dručje tehničkih znanosti (doktor/doktorica znanosti, po-dručje tehničkih znanosti)
• Catalog URL: http://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=52195
• Type of resource: Text
• Extent: 188 str.
• File origin: Born digital
• Access conditions: Open access
• Created on: 2022-03-08 13:19:56