{"id":14814,"date":"2021-04-01T12:26:19","date_gmt":"2021-04-01T11:26:19","guid":{"rendered":"http:\/\/www.res-group.com\/using-ai-to-overcome-the-challenges-of-shadow-flicker\/"},"modified":"2021-04-01T12:26:19","modified_gmt":"2021-04-01T11:26:19","slug":"using-ai-to-overcome-the-challenges-of-shadow-flicker","status":"publish","type":"post","link":"https:\/\/www.res-group.com\/us\/resources\/using-ai-to-overcome-the-challenges-of-shadow-flicker\/","title":{"rendered":"Using AI to overcome the challenges of shadow flicker"},"content":{"rendered":"<p>RES has successfully completed the test phase of its new AI powered Dynamic Flicker Optimisation System at a wind farm in Norway.<\/p>\n<p style=\"margin: 0cm 0cm 8pt; line-height: 107%; font-size: 11pt; font-family: Calibri, sans-serif\"><span style=\"font-size: 12.0pt; line-height: 107%; color: #101010\">Shadow flicker is caused when sun light shining directly on residential houses is interrupted by the rotation of a wind turbine\u2019s blades. This can happen at particular times during the day and it changes over the year. The flickering this causes can irritate local residents. This particular wind farm in Norway is located on a hill and when the sun is low on the horizon it can affect residents two kilometres away<a>.&nbsp;<\/a><\/span><span style=\"font-size: 12.0pt; line-height: 107%; color: #101010\">Traditionally the solution has been to turn off specific wind turbines during windows of time when shadow flicker could cause an issue meaning a loss in generation. The frustration with this scheduled approach is that if cloud cover means there are no shadows, the asset owner will be losing revenue for no reason. <\/span><\/p>\n<p style=\"margin: 0cm 0cm 8pt; line-height: 107%; font-size: 11pt; font-family: Calibri, sans-serif\"><span style=\"font-size: 12.0pt; line-height: 107%; color: #101010\">RES\u2019 <\/span><span style=\"font-size: 12.0pt; line-height: 107%; color: #333333\">Dynamic Flicker Optimisation System<\/span><span style=\"font-size: 12.0pt; line-height: 107%; color: #101010\"> (DFOS) uses a type of machine learning algorithm architecture called deep neural network which is inspired by brain functionality and the way neurons connect with each other in order to process information. Using a combination of open source and inhouse expertise, RES\u2019 technical team behind this innovation were able to teach the system to classify images taken from cameras mounted on site. Getting computers to understand images is relatively new technology which involves much more than monitoring brightness levels. It requires building a model from the neural network architecture that can actively learn to classify images, so for example it can distinguish between brightness due to snow covered ground and direct sunlight. Importantly the system can apply judgement on a grey overcast day.<\/span><\/p>\n<p style=\"margin: 0cm 0cm 8pt; line-height: 107%; font-size: 11pt; font-family: Calibri, sans-serif\"><span style=\"font-size: 12.0pt; line-height: 107%; color: #101010\">All of this high-tech thinking feeds into RES\u2019 well established and proven SMARTstop software which can control the turbines locally on site. The new <\/span><span style=\"font-size: 12.0pt; line-height: 107%; color: #333333\">Dynamic Flicker Optimisation System<\/span><span style=\"font-size: 12.0pt; line-height: 107%; color: #101010\"> is a sibling to RES\u2019 Dynamic Noise Optimisation System which can also curtail turbines when noise levels exceed acceptable levels at neighboring properties. <\/span><\/p>\n<p style=\"margin: 0cm 0cm 8pt; line-height: 107%; font-size: 11pt; font-family: Calibri, sans-serif\"><span style=\"font-size: 12.0pt; line-height: 107%; color: #101010\">At this Norwegian site, scheduling turbine stops had previously cost in the region of a 1.9% yield reduction and so the uplift in generation of this new system is significantly improving revenue generation without affecting the amenity of nearby residents.<\/span><\/p>\n<p style=\"margin: 0cm 0cm 8pt; line-height: 107%; font-size: 11pt; font-family: Calibri, sans-serif\"><span style=\"font-size: 12.0pt; line-height: 107%; color: #101010\">The <\/span><span style=\"font-size: 12.0pt; line-height: 107%; color: #333333\">Dynamic Flicker Optimisation System<\/span><span style=\"font-size: 12.0pt; line-height: 107%; color: #101010\"> can be applied relatively easily at any wind farm, and there are plans to roll this out more extensively across some of the 7GW of renewable assets RES is supporting globally. What\u2019s great is that learnings from previous sites are automatically applied when a new site is added via \u2018transfer learning\u2019, and so in other words, the system just gets smarter. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>RES has successfully completed the test phase of its new AI powered Dynamic Flicker Optimisation System at a wind farm in Norway. Shadow flicker is caused when sun light shining directly on residential houses is interrupted by the rotation of a wind turbine\u2019s blades. This can happen at particular times&#8230;<\/p>\n","protected":false},"author":1,"featured_media":8826,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[431],"tags":[],"region":[329],"content_type":[437],"class_list":["post-14814","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-digital-us","region-nordics-us","content_type-case-study-us"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Using AI to overcome the challenges of shadow flicker - RES<\/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:\/\/www.res-group.com\/us\/resources\/using-ai-to-overcome-the-challenges-of-shadow-flicker\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using AI to overcome the challenges of shadow flicker\" \/>\n<meta property=\"og:description\" content=\"RES has successfully completed the test phase of its new AI powered Dynamic Flicker Optimisation System at a wind farm in Norway. Shadow flicker is caused when sun light shining directly on residential houses is interrupted by the rotation of a wind turbine\u2019s blades. 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