Investigating the Impact of Texture Angle and Depth on Optimum Doping Concentration in PC1D Simulations

Investigating the Impact of Texture Angle and Depth on Optimum Doping Concentration in PC1D Simulations | 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 Investigating the Impact of Texture Angle and Depth on Optimum Doping Concentration in PC1D Simulations Thiruvarasu T, Shivam Kumar B, Srinivasan M, Chandrasekaran A, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6616471/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 The conventional fossil fuel contributes to several issues, such as harmful pollutants like carbon dioxide (CO 2 ), climate change, depletion of resources and increasing costs. To address these issues, renewable energy sources provide a viable solution. Among them, photovoltaic technology is the sustainable and environmentally friendly option, with crystalline silicon solar cells being the most commercially available in market. In this paper, the PC1D mod 6.1 software program is used to simulate the performance of crystalline silicon solar cells, numerically investigating their impact on the conversion efficiency. At an optimized doping concentration, we achieved the highest efficiency of 22.02%. To further enhance the efficiency, the texture angle was varied from 30° to 70°, and the texture depth was adjusted from 2 µm to 10 µm. The simulation results show a short circuit current (I SC ) of 3.94875A, an open circuit voltage (V OC ) of 0.686142V, fill factor of 0.842297. After stimulating the effects of texture depth and angle on the crystalline silicon solar cell, it is obtained under the AM1.5 spectrum, the maximum efficiency obtained was 22.45%. Doping concentration solar cell PC1D Textured depth Textured angle Full Text Additional Declarations No competing interests reported. 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-6616471","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":466632394,"identity":"8734cfcc-fbf3-4aa7-9ae8-afe50d120126","order_by":0,"name":"Thiruvarasu T","email":"","orcid":"","institution":"Sri Sivasubramaniya Nadar College of Engineering","correspondingAuthor":false,"prefix":"","firstName":"Thiruvarasu","middleName":"","lastName":"T","suffix":""},{"id":466632395,"identity":"10538d40-7e36-458f-8ce9-08826934b70b","order_by":1,"name":"Shivam Kumar B","email":"","orcid":"","institution":"Sri Sivasubramaniya Nadar College of Engineering","correspondingAuthor":false,"prefix":"","firstName":"Shivam","middleName":"Kumar","lastName":"B","suffix":""},{"id":466632396,"identity":"797d9c6d-b7fe-4972-98cb-69c0037a930b","order_by":2,"name":"Srinivasan M","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4ElEQVRIie3PMQrCMBSA4YRAugRdLVV6hUL35ioNXbs5SYcqhbjkBt4jF8jQpTgLLq2CewehQgcTXZzaugnmH5I35CMJADbbTwa3IH4Pu1qvZDaZEACLwOx48mUEALwwwyjxD4rXdR9R6im+uafREgPUXE4DJDiyfcB4wsSM8fNKJvphOAzTIUIgX7Atiokezq5EmhDsDRFfaBL3OTVk7cp8nIDKEKyg0AS2Uo2TwBDGSyYqWHhQlgSjkb/4wrm5XZ9RRzhN+5AZnTtFcx182GeIvNapx02w++a0zWaz/U1P6wY/mACmc0gAAAAASUVORK5CYII=","orcid":"","institution":"Sri Sivasubramaniya Nadar College of Engineering","correspondingAuthor":true,"prefix":"","firstName":"Srinivasan","middleName":"","lastName":"M","suffix":""},{"id":466632397,"identity":"9be1231d-ba54-47d4-bdf3-5547c18c7c61","order_by":3,"name":"Chandrasekaran A","email":"","orcid":"","institution":"Sri Sivasubramaniya Nadar College of Engineering","correspondingAuthor":false,"prefix":"","firstName":"Chandrasekaran","middleName":"","lastName":"A","suffix":""},{"id":466632398,"identity":"d7feb687-9fa4-4737-b188-6bc48fdd2bf1","order_by":4,"name":"Keerthivasan T","email":"","orcid":"","institution":"Nagoya University","correspondingAuthor":false,"prefix":"","firstName":"Keerthivasan","middleName":"","lastName":"T","suffix":""}],"badges":[],"createdAt":"2025-05-08 04:08:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6616471/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6616471/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":85817641,"identity":"59a58a23-548f-419b-ba31-a3f416ee4a04","added_by":"auto","created_at":"2025-07-02 06:02:15","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":541167,"visible":true,"origin":"","legend":"","description":"","filename":"PC1Dmanuscript1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6616471/v1_covered_7422c296-b256-4986-8db5-b9059eea6d8f.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Investigating the Impact of Texture Angle and Depth on Optimum Doping Concentration in PC1D Simulations","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":"Doping concentration, solar cell, PC1D, Textured depth, Textured angle","lastPublishedDoi":"10.21203/rs.3.rs-6616471/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6616471/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe conventional fossil fuel contributes to several issues, such as harmful pollutants like carbon dioxide (CO\u003csub\u003e2\u003c/sub\u003e), climate change, depletion of resources and increasing costs. To address these issues, renewable energy sources provide a viable solution. Among them, photovoltaic technology is the sustainable and environmentally friendly option, with crystalline silicon solar cells being the most commercially available in market. In this paper, the PC1D mod 6.1 software program is used to simulate the performance of crystalline silicon solar cells, numerically investigating their impact on the conversion efficiency. At an optimized doping concentration, we achieved the highest efficiency of 22.02%. To further enhance the efficiency, the texture angle was varied from 30\u0026deg; to 70\u0026deg;, and the texture depth was adjusted from 2 \u0026micro;m to 10 \u0026micro;m. The simulation results show a short circuit current (I\u003csub\u003eSC\u003c/sub\u003e) of 3.94875A, an open circuit voltage (V\u003csub\u003eOC\u003c/sub\u003e) of 0.686142V, fill factor of 0.842297. 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