{"id":1010,"date":"2019-11-23T21:17:30","date_gmt":"2019-11-23T20:17:30","guid":{"rendered":"https:\/\/tecphy.ch\/?p=1010"},"modified":"2022-04-04T10:22:07","modified_gmt":"2022-04-04T08:22:07","slug":"solar-simulations-forecast-to-optimize-electrical-storage","status":"publish","type":"post","link":"https:\/\/tecphy.ch\/en\/solar-simulations-forecast-to-optimize-electrical-storage\/","title":{"rendered":"Simulation solaires pour optimiser le stockage batterie"},"content":{"rendered":"<h3>SmarSolar : PV production forecast used by the Swiss team, winner of the U.S. Department of Energy Solar Decathlon competition 2017 Denver, Colorado<\/h3>\n<p>Philippe Couty a*, Christophe Arn b<br \/>\na TECPHY , Chemin du Mottey 1, 1020 Renens<br \/>\nb SMARSYS , Route d&#8217;Eclagnens 27, 1377 Oulens-sous-Echallens<\/p>\n<p>Abstract. The article introduces the SmarSolar platform which merges customer management relations tools and Photovoltaic forecast services. We will present the modelling hypothesis as well as the validation of the model. The forecast service has been successfully used by the Swiss team in the Solar decathlon Competition US 2017 who won the competition. In a more general perspective, since all data and results are centralized in a database with cloud computing services, the platform can be used by installation owners to optimize their self-consumption as well as by electrical producers managing their park of PV installations and optimizing the grid load.<\/p>\n<p>2019 J. Phys.: Conf. Ser. 1343 012091<\/p>\n","protected":false},"excerpt":{"rendered":"<p>SmarSolar : PV production forecast used by the Swiss team, winner of the U.S. Department of Energy Solar Decathlon competition 2017 Denver, Colorado Philippe Couty a*, Christophe Arn b a TECPHY , Chemin du Mottey 1, 1020 Renens b SMARSYS , Route d&#8217;Eclagnens 27, 1377 Oulens-sous-Echallens Abstract. The article introduces the SmarSolar platform which merges<br \/><a class=\"moretag\" href=\"https:\/\/tecphy.ch\/en\/solar-simulations-forecast-to-optimize-electrical-storage\/\">+ Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":332,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[10,8,26,9],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Simulation solaires pour optimiser le stockage batterie - Tecphy<\/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:\/\/tecphy.ch\/solar-simulations-forecast-to-optimize-electrical-storage\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Simulation solaires pour optimiser le stockage batterie - Tecphy\" \/>\n<meta property=\"og:description\" content=\"SmarSolar : PV production forecast used by the Swiss team, winner of the U.S. Department of Energy Solar Decathlon competition 2017 Denver, Colorado Philippe Couty a*, Christophe Arn b a TECPHY , Chemin du Mottey 1, 1020 Renens b SMARSYS , Route d&#8217;Eclagnens 27, 1377 Oulens-sous-Echallens Abstract. 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