{"id":17712,"date":"2023-01-24T14:56:13","date_gmt":"2023-01-24T19:56:13","guid":{"rendered":"https:\/\/engineering.jhu.edu\/magazine-archive\/?p=17712"},"modified":"2023-01-26T09:48:12","modified_gmt":"2023-01-26T14:48:12","slug":"opening-access-to-windfarm-data","status":"publish","type":"post","link":"https:\/\/engineering.jhu.edu\/magazine-archive\/2023\/01\/opening-access-to-windfarm-data\/","title":{"rendered":"Opening Access to Windfarm Data"},"content":{"rendered":"<p>Wind power produces over 8% of our nation&#8217;s electricity, but one impediment to increasing reliance on this clean, sustainable power source is the vast size of many windfarms and the challenge of understanding turbine-turbine and turbine-atmosphere interactions. High performance computer simulations can help by providing detailed insights into fluid mechanical effects associated with turbine placement, layouts, and environmental factors. But these simulations are expensive and produce huge datasets, putting them out of reach of researchers without the requisite computational skills, substantial financial resources, and\/or access to technology required.<\/p>\n<p>An initiative spearheaded by <a href=\"https:\/\/me.jhu.edu\" target=\"_blank\" rel=\"noopener\">Whiting School mechanical engineering<\/a> faculty members <a href=\"https:\/\/engineering.jhu.edu\/faculty\/dennice-gayme\/\" target=\"_blank\" rel=\"noopener\">Dennice Gayme<\/a>, the Carol Linde Croft Faculty Scholar, and <a href=\"https:\/\/engineering.jhu.edu\/faculty\/charles-meneveau\/\" target=\"_blank\" rel=\"noopener\">Charles Meneveau<\/a>, the Louis M. Sardella Professor in Mechanical Engineering, both researchers in the <a href=\"https:\/\/energyinstitute.jhu.edu\/\" target=\"_blank\" rel=\"noopener\">Ralph O&#8217;Connor Sustainable Energy Institute<\/a>, is poised to change that. The two have started a new project to create a public database of windfarm simulations. It will allow anyone with an internet connection to easily access and analyze the data in order to conduct research, generate knowledge, and evaluate models or wind field data to be used in windfarm planning or development projects. Potential users of the database therefore span academia and national laboratories to engineers working on windfarm projects.<\/p>\n<p>\u201cEach type of user will be able to very easily access and analyze data that is of interest to them. They will be able to take data from a synthetic windfarm and explore all of its spatio-temporal facets, at a level of detail that is impossible to achieve with existing datasets,\u201d says Gayme. \u201cThe fact that you can come back and look at one location in detail and ask some very specific questions within this big simulation will be unprecedented.\u201d<\/p>\n<a href=\"https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2023\/01\/shutterstock_2133028833.jpeg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-18293 size-medium\" src=\"https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2023\/01\/shutterstock_2133028833-300x169.jpeg\" alt=\"A rendering of wind turbines on a topographic map. There is a blue color cast. \" width=\"300\" height=\"169\" srcset=\"https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2023\/01\/shutterstock_2133028833-300x169.jpeg 300w, https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2023\/01\/shutterstock_2133028833-1024x576.jpeg 1024w, https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2023\/01\/shutterstock_2133028833-768x432.jpeg 768w, https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2023\/01\/shutterstock_2133028833.jpeg 1500w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>\n","protected":false},"excerpt":{"rendered":"<p>Wind power produces over 8% of our nation&#8217;s electricity, but one impediment to increasing reliance on this clean, sustainable power source is the vast size of many windfarms and the challenge of understanding turbine-turbine and turbine-atmosphere interactions. High performance computer simulations can help by providing detailed insights into fluid mechanical effects associated with turbine placement,&#8230;<\/p>\n","protected":false},"author":29,"featured_media":18293,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[24],"tags":[],"class_list":["post-17712","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-impact","issue-winter-2023"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Opening Access to Windfarm Data - JHU Engineering Magazine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/magazine-archive\/2023\/01\/opening-access-to-windfarm-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Opening Access to Windfarm Data - JHU Engineering Magazine\" \/>\n<meta property=\"og:description\" content=\"Wind power produces over 8% of our nation&#8217;s electricity, but one impediment to increasing reliance on this clean, sustainable power source is the vast size of many windfarms and the challenge of understanding turbine-turbine and turbine-atmosphere interactions. 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