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		<PublisherName>Baywood Publishing Company</PublisherName>
	</PublisherInfo>
	<Journal>
		<JournalInfo JournalType="Journals">
			<JournalPrintISSN>0047-2433</JournalPrintISSN>
			<JournalElectronicISSN>1541-3802</JournalElectronicISSN>
			<JournalTitle>Journal of Environmental Systems</JournalTitle>
			<JournalCode>BWES</JournalCode>
			<JournalID>300323</JournalID>
			<JournalURL>http://baywood.metapress.com/link.asp?target=journal&amp;id=300323</JournalURL>
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		<Volume>
			<VolumeInfo>
				<VolumeNumber>29</VolumeNumber>
			</VolumeInfo>
			<Issue>
				<IssueInfo IssueType="Regular">
					<IssueNumberBegin>3</IssueNumberBegin>
					<IssueNumberEnd>3</IssueNumberEnd>
					<IssueSupplement>0</IssueSupplement>
					<IssuePartStart>0</IssuePartStart>
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					<IssueSequence>000029000320030101</IssueSequence>
					<IssuePublicationDate>
						<CoverDate Year="2003" Month="1" Day="1"/>
						<CoverDisplay>Number 3/2002-2003</CoverDisplay>
					</IssuePublicationDate>
					<IssueID>NVAE5F0A006Q</IssueID>
					<IssueURL>http://baywood.metapress.com/link.asp?target=issue&amp;id=NVAE5F0A006Q</IssueURL>
				</IssueInfo>
				<Article ArticleType="Original">
					<ArticleInfo Free="No" ESM="No">
						<ArticleDOI>10.2190/V5TP-H0AW-DPLD-R665</ArticleDOI>
						<ArticlePII>V5TPH0AWDPLDR665</ArticlePII>
						<ArticleSequenceNumber>207</ArticleSequenceNumber>
						<ArticleTitle Language="En">IMPACT OF SO&lt;SUB&gt;2&lt;/SUB&gt; EMISSION LIMITS ON PETROLEUM REFINERY OPERATIONS III: UNCERTAINTIES</ArticleTitle>
						<ArticleFirstPage>207</ArticleFirstPage>
						<ArticleLastPage>218</ArticleLastPage>
						<ArticleHistory>
							<RegistrationDate>20040521</RegistrationDate>
							<ReceivedDate>20040521</ReceivedDate>
							<Accepted>20040521</Accepted>
							<OnlineDate>20040521</OnlineDate>
						</ArticleHistory>
						<FullTextFileName>V5TPH0AWDPLDR665.pdf</FullTextFileName>
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						<Composite>3</Composite>
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					<ArticleHeader>
						<AuthorGroup>
							<Author AffiliationID="A1">
								<GivenName>AMIT</GivenName>
								<Initials/>
								<FamilyName>DUTTA</FamilyName>
								<Degrees/>
								<Roles/>
							</Author>
							<Author AffiliationID="A2">
								<GivenName>A. K.</GivenName>
								<Initials/>
								<FamilyName>DIKSHIT</FamilyName>
								<Degrees/>
								<Roles/>
							</Author>
							<Author AffiliationID="A3">
								<GivenName>S.</GivenName>
								<Initials/>
								<FamilyName>RAY</FamilyName>
								<Degrees/>
								<Roles/>
							</Author>
							<Author AffiliationID="A3">
								<GivenName>M.</GivenName>
								<Initials/>
								<FamilyName>BANDYOPADHYAY</FamilyName>
								<Degrees/>
								<Roles/>
							</Author>
							<Affiliation AFFID="A1">
								<OrgDivision/>
								<OrgName>Bengal Engineering College, Howrah, India</OrgName>
								<OrgAddress/>
							</Affiliation>
							<Affiliation AFFID="A2">
								<OrgDivision/>
								<OrgName>Centre for Environmental Science &amp; Engineering, Indian Institute of Technology, Bombay, India</OrgName>
								<OrgAddress/>
							</Affiliation>
							<Affiliation AFFID="A3">
								<OrgDivision/>
								<OrgName>Indian Institute of Technology, Kharagpur, India</OrgName>
								<OrgAddress/>
							</Affiliation>
						</AuthorGroup>
						<Abstract Language="En">The previous two parts of this article developed the linear programming (LP) model, applied it to an existing refinery, and presented a methodology for minimizing SO&lt;SUB&gt;2&lt;/SUB&gt; emissions. In this article, the issue of uncertainties in percent sulfur in different feed and blending streams, which lead to uncertainties in estimates of SO&lt;SUB&gt;2&lt;/SUB&gt; emission and refinery profitability, is discussed. It is also based on the linear programming model of the same refinery discussed in first part of this study. A stochastic method is used to generate inputs to the LP model to simulate the randomness of real-life operations. The results show that for the typical refinery considered, the SO&lt;SUB&gt;2&lt;/SUB&gt; emission estimate has a standard deviation of 8.4 kg/hr at the mean SO&lt;SUB&gt;2&lt;/SUB&gt; emission rate of 520 kg/hr. The refinery profit for the same refinery shows a standard deviation of 3.1 million Rs/month on a mean value of 283.7 million Rs/month.</Abstract>
						<biblist>
							<bib-other>
								<bibtext seqNum="1">A. Dutta, A. K. Dikshit, S. Ray, and M. Bandyopadhyay, Impact of SO Emission Limits on Petroleum Refinery Operations I: A Linear Programming Model, Journal of Environmental Systems, 29:1, pp. 15-38, 2002-2003.</bibtext>
							</bib-other>
							<bib-other>
								<bibtext seqNum="2">A. Dutta, A. K. Sikshit, S. Ray, and M. Bandyopadhyay, Impact of SO Emission Limits on Petroleum Refinery Operations II: Minimizing Emissions, Journal of Environmental Systems, 29:2, pp. 175-190, 2002-2003.</bibtext>
							</bib-other>
							<bib-other>
								<bibtext seqNum="3">ASTM (American Society for Testing and Materials), Test Method D1552-00 Standard Test Method for Sulfur in Petroleum Products (High-Temperature Method), http://www.astm.org., 2001.</bibtext>
							</bib-other>
							<bib-other>
								<bibtext seqNum="4">Math Works Inc., MATLAB Statistical Tool Box, Math Works Inc., 1994.</bibtext>
							</bib-other>
						</biblist>
					</ArticleHeader>
				</Article>
			</Issue>
		</Volume>
	</Journal>
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