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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Iranian Society of Heating, Refrigerating, and Air Conditioning Engineers (IRSHRAE)</PublisherName>
				<JournalTitle>Journal of Renewable and New Energy</JournalTitle>
				<Issn>2423-4931</Issn>
				<Volume>6</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2019</Year>
					<Month>03</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Calculation the reliability and availability of a Methanol fuel cell system with the Markov chain approach</ArticleTitle>
<VernacularTitle>Calculation the reliability and availability of a Methanol fuel cell system with the Markov chain approach</VernacularTitle>
			<FirstPage>103</FirstPage>
			<LastPage>109</LastPage>
			<ELocationID EIdType="pii">82127</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>HamidReza</FirstName>
					<LastName>Seraj</LastName>
<Affiliation>Department of Renewable Energies and Environment, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Yousefi</LastName>
<Affiliation>Associate Professor, Department of Renewable Energies and Environment, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-6372-5127</Identifier>

</Author>
<Author>
					<FirstName>Atefeh</FirstName>
					<LastName>Abbaspour</LastName>
<Affiliation>Department of Renewable Energies and Environment, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>10</Month>
					<Day>09</Day>
				</PubDate>
			</History>
		<Abstract>The fuel cell system is one of the leading clean energy technologies which the interests in its applications are increasing. Since reliability and availability are important indicators to evaluate systems and equipment performance, in this paper reliability and availability of the direct methanol fuel cell is calculated based on the Markov chain approach. For this purpose, after determining the failure rate of each component of the system, the reliability is calculated as a function of time. Also, the Markov chain and simulation in the RAM commander software results indicate that the direct methanol fuel cell is available more than 99 percent of the time. Finally, it was found that the system was 96 percent of the time at full capacity, more than 3 percent at half capacity and less than 1 percent inactive.</Abstract>
			<OtherAbstract Language="FA">The fuel cell system is one of the leading clean energy technologies which the interests in its applications are increasing. Since reliability and availability are important indicators to evaluate systems and equipment performance, in this paper reliability and availability of the direct methanol fuel cell is calculated based on the Markov chain approach. For this purpose, after determining the failure rate of each component of the system, the reliability is calculated as a function of time. Also, the Markov chain and simulation in the RAM commander software results indicate that the direct methanol fuel cell is available more than 99 percent of the time. Finally, it was found that the system was 96 percent of the time at full capacity, more than 3 percent at half capacity and less than 1 percent inactive.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Reliability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Availability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Markov chain</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuel Cell</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.jrenew.ir/article_82127_ce7de9fe26ec264f69a2f06e81112a20.pdf</ArchiveCopySource>
</Article>
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