<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/CINECAstyle.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-23T22:43:19Z</responseDate><request verb="GetRecord" identifier="oai:iris.unica.it:11584/266793" metadataPrefix="oai_dc">https://iris.unica.it/oai/request</request><GetRecord><record><header><identifier>oai:iris.unica.it:11584/266793</identifier><datestamp>2022-10-20T09:31:59Z</datestamp><setSpec>com_11584_207615</setSpec><setSpec>com_11584_111066</setSpec><setSpec>col_11584_265854</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>A novel complex system approach for the determination of renewable energy sources impact on electricity infrastructures</dc:title>
<dc:creator>MUREDDU, MARIO</dc:creator>
<dc:subject>energia sostenibile</dc:subject>
<dc:subject>energie rinnovabili</dc:subject>
<dc:subject>mobilità sostenibile</dc:subject>
<dc:subject>power systems</dc:subject>
<dc:subject>renewable energy</dc:subject>
<dc:subject>reti elettriche</dc:subject>
<dc:subject>sistemi elettrici</dc:subject>
<dc:subject>sustainable energy</dc:subject>
<dc:subject>sustainable mobility power grids</dc:subject>
<dc:subject>Settore FIS/02 - Fisica Teorica, Modelli e Metodi Matematici</dc:subject>
<dc:description>The increasing environmental awareness, associated with the increasing&#xd;
demand and price of fossil fuels, is leading to the implementation of novel&#xd;
energy models based on renewable energy sources (RES) and sustainable&#xd;
mobility. However, the actual physical and economic models on which power&#xd;
system management rules are based on, are not able to properly manage the&#xd;
high amount of unwanted power fluctuations introduced by RES power&#xd;
generation. For such reason, major issues has been pointed out in term of&#xd;
energy security and access, inspiring changes in methods and paradigms&#xd;
associated to energy supply management. Moreover, the transaction towards&#xd;
an emission free mobility must be based on the interaction between RES&#xd;
generation and Electric Vehicles (EV) mobility, pointing out the need of a new&#xd;
approach able to combine mobility and energy supply infrastructures.&#xd;
In order to describe and model power systems with an high amount of RES&#xd;
generation, is important to indicate that such systems are made by a great&#xd;
number of microscopical interacting elements which behave in a stochastic&#xd;
way. For this reason, these systems can not easily be described in a&#xd;
deterministic way, but must be described by a statistical representation of the&#xd;
system observables. In this thesis, a novel approach based on statistical&#xd;
mechanics methods is presented, able to model the impact of such sources&#xd;
over the system. By using such approach, has been possible to evaluate the&#xd;
possible impact of such sources in terms of power system stability and&#xd;
sustainable mobility.</dc:description>
<dc:date>2015-05-22</dc:date>
<dc:type>info:eu-repo/semantics/doctoralThesis</dc:type>
<dc:identifier>http://hdl.handle.net/11584/266793</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>numberofpages:78</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:publisher>Università degli Studi di Cagliari</dc:publisher>
<dc:rights>license:Non specificato</dc:rights>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>