Fs for Commercial & Industrial Scale Solar in Iran | 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PDF Research Article Fs for Commercial & Industrial Scale Solar in Iran Mahmoud Taheri This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6856847/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 solar industry is booming worldwide, providing stable and secure energy while combating environmental threats. Investments in renewable energy are increasingly overtaking investments in all other forms of energy, according to statistics. This report assesses the potential for investment in commercial and industrial-scale solar plants in Iran. The methodology for macroeconomics-related matters is PESTEL analysis. Likewise, the 5 Porter’s forces model is implemented for microeconomics assessments. The SWOT analysis technique is used to identify internal and external factors affecting the business for strategic planning. New energy investments are necessary to address seasonal power deficits and gas supply imbalances. Two key segments—industries and the state- are identified in the domestic market. Industries are obliged to gradually integrate clean energy, while government bodies shall accelerate the transition. A green trade board in the energy exchange market is introduced for trading renewable power, with a fair Feed-In Tariff, relying on market-based pricing. In this report, the case study of a 1 MW solar capacity in the most efficient location in the country is assessed. The cash flow statement will be evaluated using the economic and technical inputs. The result shows the Net Present Value (NPV) assuming 7% discount rate, of $ 3.2 million, the Internal Rate of Return (IRR) of 33%, the Benefit-Cost Ratio (BCR) of 4.5, the Pay-back Period (PBP) of 5.6 years, and the Financial Exposure (FE) of $ (0.5) million. The probabilistic study was conducted to assess the risk factors using the Monte Carlo simulation, and 5 risk variables were selected to fluctuate with the triangular basis. The variables are going to change using the XLRisk software tool, and in 10,000 iterations. Due to the Monte Carlo simulation results, the mean IRR is 28%, whilst for PBP it is 6.4 years. The mean value of NPV is about $ 2.6 million, and for BCR is approximately 3.7. Macroeconomics Renewable Resources Microeconomics Environmental Economics Solar Energy Feasibility Study Economic Evaluation Probabilistic Study Monte Carlo Simulation 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-6856847","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":468811473,"identity":"51e0fcea-1703-4fde-9245-29619e8faceb","order_by":0,"name":"Mahmoud Taheri","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABAklEQVRIiWNgGAWjYFACHhDBDGUY2ACJBBCDCC08EC1pJGthOAzVggfotp89uuFjmzWDPfvZg48rCs7LGxxPPvbgR4EdA397N1bNZmfy0m7ObEtn4OHJSzY8Y3DbcMOZZ+mGPQbJDBJnzm7AquVAjtlt3rbDQGflmEk2GNxm3HAjx0yawYCZwUAiF7uW82+gWvjfmP9sMDhnv+FG/jeglnrcWm7AbJHIMWNsMDiQCLSFDajlMB4tb8xuzjiXzsNz440x0GHJyTPPPDOT7DE4zoPTL+dzzG58KLOWY+/PMfzY8MfOtu948jOJH3+q5fjbe7FqgQEeIkRGwSgYBaNgFBANAMHBYahawBhHAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0009-0008-0381-6941","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Mahmoud","middleName":"","lastName":"Taheri","suffix":""}],"badges":[],"createdAt":"2025-06-09 18:34:51","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6856847/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6856847/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":84394796,"identity":"7383f976-da0f-4747-9bd4-78df4f3e8bd7","added_by":"auto","created_at":"2025-06-11 12:21:22","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":813521,"visible":true,"origin":"","legend":"","description":"","filename":"FSforcommercialindustrialscalesolarinIran.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6856847/v1_covered_5318e483-a073-436a-829e-83c26efb5dbc.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eFs for Commercial \u0026amp; Industrial Scale Solar in Iran\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"IFP School","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":"Solar Energy, Feasibility Study, Economic Evaluation, Probabilistic Study, Monte Carlo Simulation","lastPublishedDoi":"10.21203/rs.3.rs-6856847/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6856847/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe solar industry is booming worldwide, providing stable and secure energy while combating environmental threats. Investments in renewable energy are increasingly overtaking investments in all other forms of energy, according to statistics. This report assesses the potential for investment in commercial and industrial-scale solar plants in Iran. The methodology for macroeconomics-related matters is PESTEL analysis. Likewise, the 5 Porter\u0026rsquo;s forces model is implemented for microeconomics assessments. The SWOT analysis technique is used to identify internal and external factors affecting the business for strategic planning.\u003c/p\u003e \u003cp\u003eNew energy investments are necessary to address seasonal power deficits and gas supply imbalances. Two key segments\u0026mdash;industries and the state- are identified in the domestic market. Industries are obliged to gradually integrate clean energy, while government bodies shall accelerate the transition. A green trade board in the energy exchange market is introduced for trading renewable power, with a fair Feed-In Tariff, relying on market-based pricing.\u003c/p\u003e \u003cp\u003eIn this report, the case study of a 1 MW solar capacity in the most efficient location in the country is assessed. The cash flow statement will be evaluated using the economic and technical inputs. The result shows the Net Present Value (NPV) assuming 7% discount rate, of \u003cspan\u003e$\u003c/span\u003e3.2\u0026nbsp;million, the Internal Rate of Return (IRR) of 33%, the Benefit-Cost Ratio (BCR) of 4.5, the Pay-back Period (PBP) of 5.6 years, and the Financial Exposure (FE) of \u003cspan\u003e$\u003c/span\u003e(0.5) million. The probabilistic study was conducted to assess the risk factors using the Monte Carlo simulation, and 5 risk variables were selected to fluctuate with the triangular basis. The variables are going to change using the XLRisk software tool, and in 10,000 iterations. Due to the Monte Carlo simulation results, the mean IRR is 28%, whilst for PBP it is 6.4 years. The mean value of NPV is about \u003cspan\u003e$\u003c/span\u003e2.6\u0026nbsp;million, and for BCR is approximately 3.7.\u003c/p\u003e","manuscriptTitle":"Fs for Commercial \u0026amp; Industrial Scale Solar in Iran","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-06-11 12:05:09","doi":"10.21203/rs.3.rs-6856847/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":"e5e89d5c-832c-4d8e-9928-e830414a8ef8","owner":[],"postedDate":"June 11th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":49884950,"name":"Macroeconomics"},{"id":49884951,"name":"Renewable Resources"},{"id":49884952,"name":"Microeconomics"},{"id":49884953,"name":"Environmental Economics"}],"tags":[],"updatedAt":"2025-06-11T12:05:09+00:00","versionOfRecord":[],"versionCreatedAt":"2025-06-11 12:05:09","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6856847","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6856847","identity":"rs-6856847","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.