ANN-aided optimization study on thermal performance and energy consumption of an industrial shell-and-tube heat exchanger system

ANN-aided optimization study on thermal performance and energy consumption of an industrial shell-and-tube heat exchanger system | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article ANN-aided optimization study on thermal performance and energy consumption of an industrial shell-and-tube heat exchanger system Sahin Gungor This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3272557/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Global energy agencies and commissions report a sharp increase in the energy demand based on commercial, industrial, and residential activities. At this point, we need energy-efficient and high performance systems to maintain a sustainable environment. More than 30% of the generated electricity has been consumed by HVAC-R units, and heat exchangers are the main components affecting the overall performance. This study couples the experimental measurements, numerical investigations, and ANN-aided optimization studies to determine the optimal operating conditions of an industrial shell and tube heat exchanger system. The cold/hot stream temperature level is varied between 10 ⁰C and 50 ⁰C during the experiments and numerical investigations. Furthermore, the flow rates are altered in a range of 50–500 L/h to investigate the thermal and hydraulic performance under laminar and turbulent regime conditions. The experimental and numerical results indicate that U-tube bundles dominantly affect ( \(\stackrel{-}{{\Delta }\text{P}}\) c ≈ 10× \(\stackrel{-}{{\Delta }\text{P}}\) h ) the total pumping power need, while the impact of temperature levels are almost negligible. Once the required data sets are gathered via the experiments and numerical investigations, ANN-aided stochastic optimization algorithms detected the C10H50 scenario as the optimal operating case when the cold and hot stream flow rates are at 100 L/h and 500 L/h, respectively. Stochastic optimization heat exchanger thermal performance energy consumption shell-and-tube Full Text Additional Declarations No competing interests reported. Supplementary Files Highlights.docx SupplementarymaterialAppendixA.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3272557","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":227309536,"identity":"65f43e50-4d25-416f-a1e4-8ad252f8ec64","order_by":0,"name":"Sahin Gungor","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/UlEQVRIiWNgGAWjYPACCTt+BsbGAw9gfB7CWmySJRsYGw4kkKAljXHDAQYG4rTI968xe/il4jCz8Y1koC01d+QMjh9gfPC2DbcWgxtvzI1lzhzmM7uRCNRy7JmxwZkEZsO5+LRInDGTlmw7zGx25iBQC9vhxJkNCWzSvHi0yM+AaGHc3APS8g+opf8B+298WhjO95hJfmwDep+9seFAYtvhxH6JBDZmfFoMbrCVSTOcsUmWOA7S0nfYmF/iYbPknHN4HNZ/eJvkjwpgVDazP3zw4dthOTb+5IMf3pThcZhEAgMzWiwwNuBRDwT8BxgYf+BXMgpGwSgYBSMdAAB1XltNAgaGnwAAAABJRU5ErkJggg==","orcid":"","institution":"Izmir Katip Celebi University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Sahin","middleName":"","lastName":"Gungor","suffix":""}],"badges":[],"createdAt":"2023-08-17 14:29:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3272557/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3272557/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":41983912,"identity":"bf1ab435-6af7-468f-9618-dee0c07a90f0","added_by":"auto","created_at":"2023-08-23 07:04:30","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1952200,"visible":true,"origin":"","legend":"","description":"","filename":"ANNaidedoptimizationstudyonthermalperformanceandenergyconsumptionofanindustrialshellandtubeheatexchangersystem.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3272557/v1_covered_2feaa668-2507-4c5a-84fd-bf8244499b7d.pdf"},{"id":41981876,"identity":"3ec2d6fc-214e-4ae6-b745-a63f74de39dd","added_by":"auto","created_at":"2023-08-23 06:40:18","extension":"docx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":18359,"visible":true,"origin":"","legend":"","description":"","filename":"Highlights.docx","url":"https://assets-eu.researchsquare.com/files/rs-3272557/v1/017661ad8d3a3c8bc1282c02.docx"},{"id":41981875,"identity":"abad9ff5-36c0-4693-a2ae-13228aae1545","added_by":"auto","created_at":"2023-08-23 06:40:17","extension":"docx","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":65763,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementarymaterialAppendixA.docx","url":"https://assets-eu.researchsquare.com/files/rs-3272557/v1/8d1a34d02d616c81a6f55647.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"ANN-aided optimization study on thermal performance and energy consumption of an industrial shell-and-tube heat exchanger system","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Stochastic optimization, heat exchanger, thermal performance, energy consumption, shell-and-tube","lastPublishedDoi":"10.21203/rs.3.rs-3272557/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3272557/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eGlobal energy agencies and commissions report a sharp increase in the energy demand based on commercial, industrial, and residential activities. At this point, we need energy-efficient and high performance systems to maintain a sustainable environment. More than 30% of the generated electricity has been consumed by HVAC-R units, and heat exchangers are the main components affecting the overall performance. This study couples the experimental measurements, numerical investigations, and ANN-aided optimization studies to determine the optimal operating conditions of an industrial shell and tube heat exchanger system. The cold/hot stream temperature level is varied between 10 ⁰C and 50 ⁰C during the experiments and numerical investigations. Furthermore, the flow rates are altered in a range of 50\u0026ndash;500 L/h to investigate the thermal and hydraulic performance under laminar and turbulent regime conditions. The experimental and numerical results indicate that U-tube bundles dominantly affect (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\stackrel{-}{{\\Delta }\\text{P}}\\)\u003c/span\u003e\u003c/span\u003e\u003csub\u003ec\u003c/sub\u003e \u0026asymp; 10\u0026times;\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\stackrel{-}{{\\Delta }\\text{P}}\\)\u003c/span\u003e\u003c/span\u003e\u003csub\u003eh\u003c/sub\u003e) the total pumping power need, while the impact of temperature levels are almost negligible. Once the required data sets are gathered via the experiments and numerical investigations, ANN-aided stochastic optimization algorithms detected the C10H50 scenario as the optimal operating case when the cold and hot stream flow rates are at 100 L/h and 500 L/h, respectively.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e","manuscriptTitle":"ANN-aided optimization study on thermal performance and energy consumption of an industrial shell-and-tube heat exchanger system","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-08-23 06:40:13","doi":"10.21203/rs.3.rs-3272557/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"fc26e5cc-cc16-4f08-b1f0-042526d57141","owner":[],"postedDate":"August 23rd, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2023-08-23T06:40:15+00:00","versionOfRecord":[],"versionCreatedAt":"2023-08-23 06:40:13","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3272557","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3272557","identity":"rs-3272557","version":["v1"]},"buildId":"7rjqhiLT3MXkJMwkYKINL","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}