Predictive Correlation for Optimum Phase Change Material Thermal Energy Storage

Predictive Correlation for Optimum Phase Change Material Thermal Energy Storage | 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 Article Predictive Correlation for Optimum Phase Change Material Thermal Energy Storage Srikanth Rangarajan, Ayushman Singh, Bahgat Sammakia This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7594736/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract Organic phase change material and high thermal conductivity filler composites are effective in thermal energy storage, but their performance can be highly dependent on the volume fraction of the phase change material/filler. In these composites, energy density (energy storage capacity of the composite) can be enhanced by increasing the phase change material volume fraction; in contrast, power density (rate at which the energy is accessed) can be improved by increasing the filler volume fraction. However, both of these characteristics cannot be increased simultaneously; therefore, the optimal volume fraction is crucial for maximizing the composite's thermal performance, i.e., achieving the optimal balance of energy and power density in the composite thermal buffer. This paper proposes a relationship for the optimal phase change material volume fraction as a function of operating boundary conditions, geometric configuration, and cutoff temperature during the melting process. The proposed correlation provides a practical tool for designing and optimizing organic phase change material - filler composites for certain thermal applications, thereby reducing reliance on computationally intensive simulations or experimental trials. Physical sciences/Energy science and technology/Energy modelling Physical sciences/Energy science and technology/Energy storage Full Text Additional Declarations There is NO Competing Interest. Cite Share Download PDF Status: Under Review 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. 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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-7594736","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":514587513,"identity":"bb5bebd2-1d17-4219-a129-48527a7c5adc","order_by":0,"name":"Srikanth Rangarajan","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9UlEQVRIiWNgGAWjYBADOQNmBgZmOJeHCC3GMC0SRGtJ3MBArBb52YefPfxScy99Ozvv4dcFNdvq+KUbGB+8bcOtxeBcmrmxzLHi3J3NfGnWM47dlpCcc4DZcC4+LTwMZtISbAm5Gw7zmBnzsN2WMLiRwCbNi0eLfA/7N2mJfwnpBmAt/8Ba2H/j08JwhsdM8mNbQgJQi/Fj3jaILcz4tBic4SmTZuxLMNzZzGPGzNt3W3LmjMRmyTnn8Dpsm+SPbwny5vxnjD/zfLvNzy+RfPDDmzI8DgMCZmgssEHihIGxAb96kJIfUK0fCCodBaNgFIyCEQkAm+5LeLmQkZIAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0001-6482-068X","institution":"Binghamton University","correspondingAuthor":true,"prefix":"","firstName":"Srikanth","middleName":"","lastName":"Rangarajan","suffix":""},{"id":514587514,"identity":"9bc32756-4e42-4469-bbc4-2ce382281596","order_by":1,"name":"Ayushman Singh","email":"","orcid":"","institution":"Binghamton University","correspondingAuthor":false,"prefix":"","firstName":"Ayushman","middleName":"","lastName":"Singh","suffix":""},{"id":514587515,"identity":"95fdce48-0655-4803-b02c-cf6c7b76979f","order_by":2,"name":"Bahgat Sammakia","email":"","orcid":"","institution":"Binghamton University","correspondingAuthor":false,"prefix":"","firstName":"Bahgat","middleName":"","lastName":"Sammakia","suffix":""}],"badges":[],"createdAt":"2025-09-11 20:15:32","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7594736/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7594736/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":92190508,"identity":"bcff6c41-3337-49aa-b4f3-59226f021730","added_by":"auto","created_at":"2025-09-25 15:06:01","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1239891,"visible":true,"origin":"","legend":"Article File","description":"","filename":"NatureEnergyPCM.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7594736/v1_covered_610b0221-a620-46fa-9059-381a299f1d9b.pdf"}],"financialInterests":"There is \u003cb\u003eNO\u003c/b\u003e Competing Interest.","formattedTitle":"Predictive Correlation for Optimum Phase Change Material Thermal Energy Storage","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"nature-portfolio","isNatureJournal":true,"hasQc":false,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"","title":"Nature Portfolio","twitterHandle":"","acdcEnabled":false,"dfaEnabled":false,"editorialSystem":"ejp","reportingPortfolio":"","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-7594736/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7594736/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Organic phase change material and high thermal conductivity filler composites are effective in thermal energy storage, but their performance can be highly dependent on the volume fraction of the phase change material/filler. 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