Analysis of the characteristics of wind power and topography influence on it, with an approach to renewable energy generation

Analysis of the characteristics of wind power and topography influence on it, with an approach to renewable energy generation | 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 Analysis of the characteristics of wind power and topography influence on it, with an approach to renewable energy generation Khabat Derafshi, Sadroddin Motevalli, Reyhaneh Bairamvand, GholamReza Janbaz Ghobadi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4713914/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 There has been a growing demand for energy in the province of Mazandaran in recent years. Considering the capabilities of the province to generate new energy, recognizing and consuming wind energy as a source of renewable energy should be a planning priority. In this study, a statistical analysis of daily wind speed and direction at a height of 10 m in 15 synoptic meteorological stations of Mazandaran Province over a 12-year period (2006 to 2017) was conducted to provide a preliminary estimate of the extractable energy and spatial capacity of wind flow. In addition, the characteristics of wind speed and direction, Weibull probability distribution parameters and wind power potential and density of the stations were also determined. ArcGIS interpolation method (IDW) was used to prepare the calculated layers of the average speed, speed continuity, and power density of the wind at 10, 30, and 50 m heights. Furthermore, to examine the influence of topography on the wind variables, the Pearson correlation coefficient was used to evaluate the relationship between altitude, hillslope aspect, and slope indicators with each of the wind variables. A map of wind speed zones at 50 m height reveals that Baladeh station has a maximum wind speed in July. The correlation coefficient between wind speed and altitude above sea level was 0.677, indicating a 95 percent positive correlation (P-value 0.05). Accordingly, as the altitude of the meteorological stations in the province above sea level increases, the wind speed increases at a height of 10 meters above the ground. Renewable energy Topography Wind power density Wind turbine Mazandaran Province 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-4713914","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":329193952,"identity":"bf4c9593-18db-4845-b88d-f5c6d6f666b7","order_by":0,"name":"Khabat Derafshi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA20lEQVRIie3RMQrCMBiG4T8UOhVc/1KxV8japV7F0MFNFBdB0EggXXqAgldxSOng4gFScFAEZ90cOpg6S1s3h7wQkuWBDwJgs/1hiOaYewBIdhegMAEgvBfxORJBG+L9QMBtHoZ05O850c9DjOFeyPVqHs/G4MhHGwmGyonye4L0XMjqRJOlGSbyNjLCiRt4ytlQZLLiVLHMkNZhH1KrLYY5k4teJGgIqBJBM0l6ET9nIsrUEalmwuc0YVnZQVAnhX6ptRk2vT55HbM0TW+t5MtfOx3AZrPZbN29AdagRnZgbRcqAAAAAElFTkSuQmCC","orcid":"","institution":"Research Institute of Cultural Heritage and Tourism","correspondingAuthor":true,"prefix":"","firstName":"Khabat","middleName":"","lastName":"Derafshi","suffix":""},{"id":329193953,"identity":"e83ba1cc-0c8f-4cff-8942-0c94bd883103","order_by":1,"name":"Sadroddin Motevalli","email":"","orcid":"","institution":"Islamic Azad University of Nour","correspondingAuthor":false,"prefix":"","firstName":"Sadroddin","middleName":"","lastName":"Motevalli","suffix":""},{"id":329193954,"identity":"a17c2d9b-0c64-4e52-87e3-0d185198749d","order_by":2,"name":"Reyhaneh Bairamvand","email":"","orcid":"","institution":"Islamic Azad University of Nour","correspondingAuthor":false,"prefix":"","firstName":"Reyhaneh","middleName":"","lastName":"Bairamvand","suffix":""},{"id":329193955,"identity":"9a7bbc3a-9794-42c8-92d1-c552a1a66e23","order_by":3,"name":"GholamReza Janbaz Ghobadi","email":"","orcid":"","institution":"Islamic Azad University of Nour","correspondingAuthor":false,"prefix":"","firstName":"GholamReza","middleName":"Janbaz","lastName":"Ghobadi","suffix":""}],"badges":[],"createdAt":"2024-07-09 18:09:56","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4713914/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4713914/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":62721264,"identity":"bd176f93-c8cd-4341-a426-fccd6ef7bc1c","added_by":"auto","created_at":"2024-08-18 15:53:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3281639,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4713914/v1_covered_919ff371-c4d0-4ed3-90b5-dc6d4d9c43dd.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Analysis of the characteristics of wind power and topography influence on it, with an approach to renewable energy generation","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":"Renewable energy, Topography, Wind power density, Wind turbine, Mazandaran Province","lastPublishedDoi":"10.21203/rs.3.rs-4713914/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4713914/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThere has been a growing demand for energy in the province of Mazandaran in recent years. Considering the capabilities of the province to generate new energy, recognizing and consuming wind energy as a source of renewable energy should be a planning priority. In this study, a statistical analysis of daily wind speed and direction at a height of 10 m in 15 synoptic meteorological stations of Mazandaran Province over a 12-year period (2006 to 2017) was conducted to provide a preliminary estimate of the extractable energy and spatial capacity of wind flow. In addition, the characteristics of wind speed and direction, Weibull probability distribution parameters and wind power potential and density of the stations were also determined. ArcGIS interpolation method (IDW) was used to prepare the calculated layers of the average speed, speed continuity, and power density of the wind at 10, 30, and 50 m heights. Furthermore, to examine the influence of topography on the wind variables, the Pearson correlation coefficient was used to evaluate the relationship between altitude, hillslope aspect, and slope indicators with each of the wind variables. A map of wind speed zones at 50 m height reveals that Baladeh station has a maximum wind speed in July. The correlation coefficient between wind speed and altitude above sea level was 0.677, indicating a 95 percent positive correlation (P-value 0.05). 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