ShinyEnet: An In-House Simulation Software for Data-Driven Waste-to-Energy Gasification and Pyrolysis

ShinyEnet: An In-House Simulation Software for Data-Driven Waste-to-Energy Gasification and Pyrolysis | 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 ShinyEnet: An In-House Simulation Software for Data-Driven Waste-to-Energy Gasification and Pyrolysis Dejan Brkić This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9622800/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 ShinyEnet is an open-source software tool for modelling waste-to-energy processes, including gasification and pyrolysis. Developed at IT4Innovations, the National Supercomputing Centre of the Czech Republic at VSB - Technical University of Ostrava, it utilizes operational data from experimental facility at the Centre for Energy and Environmental Technologies – Explorer (CEETe), also part of the same university. The software models a modular, mobile, and scalable system that converts waste into gaseous or liquid fuels. ShinyEnet supports dynamic simulation, including component-failure cases, optimization, and scenario analysis. The platform thus facilitates development and assessment of compact and mobile waste-to-energy units and provides tools for addressing municipal waste-management challenges. ShinyEnet is based on real operational datasets, with continuously updated data currently available for the pyrolysis process via real-time monitoring system. The interactive web application is implemented using open-source Python libraries and employs validated historical data and machine-learning models to simulate and optimize system performance. machine learning hydrogen pyrolysis syngas software waste-to-energy Full Text Additional Declarations The authors declare no competing interests. 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-9622800","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":635051660,"identity":"04209a24-453a-4202-9fc9-7163e1e7853b","order_by":0,"name":"Dejan Brkić","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1ElEQVRIie3QsQqCQBjA8U8OruWy9UTwGQ6CIHqZA8G12oIWIbCxtehlBAcXodVQSJebjcYcuoyg7bMt6P7DcQf3O70DMJl+sRhkN3ICVvWcfEWI6EteIwegvBex07C+LaCcO1ui1qwtYbRDmJPFvrsHNT0SOimGkQIeI0TkUroMEuERRs+HMAFhhQi5VP79TZb7VhOC3EXkEHRfcTWBhmpCEeJkMpgxoYSzoWN+jRTjGULsNPMLtioFPyV1I9vSQ18MgEn9ex9LbL9ugB5qMplM/94DI8JC5sVS7N8AAAAASUVORK5CYII=","orcid":"","institution":"VSB","correspondingAuthor":true,"prefix":"","firstName":"Dejan","middleName":"","lastName":"Brkić","suffix":""}],"badges":[],"createdAt":"2026-05-05 21:42:13","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-9622800/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9622800/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":108806437,"identity":"ffd345cb-ee49-4fa4-9cbf-fc53e09bcd74","added_by":"auto","created_at":"2026-05-08 15:28:34","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1590663,"visible":true,"origin":"","legend":"","description":"","filename":"preprints211820presentation.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9622800/v1_covered_5d48a3a0-6cae-4165-a4b0-127f317e2b28.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eShinyEnet: An In-House Simulation Software for Data-Driven Waste-to-Energy Gasification and Pyrolysis\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Technical University of Ostrava","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"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":"machine learning, hydrogen, pyrolysis, syngas, software, waste-to-energy","lastPublishedDoi":"10.21203/rs.3.rs-9622800/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9622800/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eShinyEnet is an open-source software tool for modelling waste-to-energy processes, including gasification and pyrolysis. 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