{"id":1377,"date":"2018-05-14T16:33:12","date_gmt":"2018-05-14T16:33:12","guid":{"rendered":"https:\/\/ventus.global\/blog\/?p=1377"},"modified":"2018-05-21T21:23:27","modified_gmt":"2018-05-21T21:23:27","slug":"eolica-software-predecir-cuantificar-perdidas","status":"publish","type":"post","link":"https:\/\/ventus.global\/blog\/eolica-software-predecir-cuantificar-perdidas\/","title":{"rendered":"E\u00d3LICA: SOFTWARE PARA PREDECIR Y CUANTIFICAR P\u00c9RDIDAS"},"content":{"rendered":"<p>&nbsp;<\/p>\n<p>[tp lang=\u00bbes\u00bb not_in=\u00bben\u00bb]<\/p>\n<p>Fuente: <a href=\"https:\/\/negocios.elpais.com.uy\/negocios\/noticias\/energia-eolica-software-predecir-cuantificar-perdidas.html\">Diario El Pa\u00eds<\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-176\" src=\"https:\/\/ventusenergia.com\/blog\/wp-content\/uploads\/2016\/01\/aero.png\" alt=\"\" width=\"680\" height=\"402\" srcset=\"https:\/\/ventus.global\/blog\/wp-content\/uploads\/2016\/01\/aero.png 600w, https:\/\/ventus.global\/blog\/wp-content\/uploads\/2016\/01\/aero-300x177.png 300w, https:\/\/ventus.global\/blog\/wp-content\/uploads\/2016\/01\/aero-400x236.png 400w\" sizes=\"auto, (max-width: 680px) 100vw, 680px\" \/><\/p>\n<p>La firma uruguaya Ventus, que gestiona ocho parques e\u00f3licos en el pa\u00eds, desarroll\u00f3 con el apoyo de la Agencia Nacional de Investigaci\u00f3n e Innovaci\u00f3n (ANII) un software in\u00e9dito que permite evaluar el rendimiento de los aerogeneradores utilizando big data \u2014sistemas inform\u00e1ticos para el an\u00e1lisis de grandes vol\u00famenes de datos\u2014, as\u00ed como medir las p\u00e9rdidas y hasta cuantificarlas en t\u00e9rminos econ\u00f3micos.<\/p>\n<p>El desarrollador Andr\u00e9s Guggeri y el gerente de Evaluaci\u00f3n de Recursos Renovables de Ventus, Vasilii Netesov, hablaron con El Pa\u00eds sobre el proyecto y sus implicancias. Seg\u00fan dijeron, se trata de un dise\u00f1o que \u00aben Uruguay es \u00fanico\u00bb e \u00abinnovador en la regi\u00f3n\u00bb, que ya se comenz\u00f3 a aplicar en los parques que tiene la empresa.<\/p>\n<p>\u00abEl objetivo es complementar los datos que ten\u00eda Ventus (sobre el rendimiento de los aerogeneradores) para mejorar la gesti\u00f3n de los parques\u00bb, manifest\u00f3 Guggeri.<\/p>\n<p>A modo de resumen sobre c\u00f3mo funciona el software, se\u00f1al\u00f3 que \u00able ingresas un a\u00f1o de datos y el algoritmo ve la relaci\u00f3n entre las distintas variables y eval\u00faa\u00bb c\u00f3mo rindieron los aerogeneradores. Toda esa informaci\u00f3n que se almacena sobre los parques \u00abhasta el momento no se aprovechaba\u00bb.<\/p>\n<p>Al someter a algunos de los emprendimientos e\u00f3licos de Ventus al nuevo software, los expertos observaron que \u00abmuchos de los aerogeneradores no estaban funcionando a tope a nivel de rendimiento\u00bb.<\/p>\n<p>Si bien la herramienta no identifica donde estuvo la falla, s\u00ed establece \u00aben qu\u00e9 fecha empez\u00f3\u00bb el parque a operar por debajo del potencial, para as\u00ed indagar con el fabricante u otro actor qu\u00e9 factor provoc\u00f3 eso.<\/p>\n<p>Adem\u00e1s, el software realiza un comparativo del rendimiento \u00f3ptimo y el efectivo de los aerogeneradores, pudiendo as\u00ed medir la energ\u00eda que se dej\u00f3 de generar en un determinado per\u00edodo de tiempo y el valor econ\u00f3mico de dicha p\u00e9rdida.<\/p>\n<p>El algoritmo que sustenta el software toma como base tres indicadores de los muchos que inciden en la producci\u00f3n de un parque e\u00f3lico. Se trata de la densidad, el viento y la presi\u00f3n, y el ejercicio que realiza es \u00abmodelando esos datos decir la turbina deber\u00eda alcanzar tal rendimiento\u00bb si todo funcionara correctamente, detall\u00f3 Guggeri.<\/p>\n<p>[\/tp]<\/p>\n<p>[tp lang=\u00bben\u00bb not_in=\u00bbes\u00bb]<\/p>\n<p>Source: <a href=\"https:\/\/negocios.elpais.com.uy\/negocios\/noticias\/energia-eolica-software-predecir-cuantificar-perdidas.html\">Diario El Pa\u00eds<\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-176\" src=\"https:\/\/ventusenergia.com\/blog\/wp-content\/uploads\/2016\/01\/aero.png\" alt=\"\" width=\"688\" height=\"406\" srcset=\"https:\/\/ventus.global\/blog\/wp-content\/uploads\/2016\/01\/aero.png 600w, https:\/\/ventus.global\/blog\/wp-content\/uploads\/2016\/01\/aero-300x177.png 300w, https:\/\/ventus.global\/blog\/wp-content\/uploads\/2016\/01\/aero-400x236.png 400w\" sizes=\"auto, (max-width: 688px) 100vw, 688px\" \/><\/p>\n<p>The Uruguayan Company Ventus, which manages eight wind farms in the country, with the support of the National Agency for Investigation and Innovation (ANII), developed an unprecedented software that allows to assess the performance of wind turbines, generating big data \u2013 computer systems for the analysis of great volumes of data-, as well as measuring losses and even quantifying them in economic terms.<\/p>\n<p>The developer Andr\u00e9s Guggeri and Ventus\u2019 Evaluation of Renewable Resources manager, Vasilii Netesov, talked to El Pa\u00eds about the project and its implications. According to what they said, the design is \u201cunique in Uruguay\u201d and \u201cinnovative in the region\u201d, and it began to be implemented the company\u2019s wind farms.<\/p>\n<p>\u201cThe objective is to complement the data Ventus already had (about the performance of wind turbines) to improve the management of wind farms,\u201d expressed Guggeri.<\/p>\n<p>As a summary about how the software Works, he noted that \u201cyou enter a year of data and the algorithm sees the relation between the different variables and evaluates\u201d how wind turbines work. All this information that is stored on wind farms \u201cwasn\u2019t leveraged until now.\u201d<\/p>\n<p>By submitting some of Ventus\u2019 wind farm undertakings to the software, experts noted that \u201cmany wind turbines weren\u2019t working to the fullest.\u201d<\/p>\n<p>Even though the tool doesn\u2019t identify where the fault was, it does establish \u201cthe date when\u201d the farm started to work below full potential, in order to seek with the manufacturer or other actor which factor provoked it.<\/p>\n<p>Besides, the software conducts a comparative analysis of the optimum and effective performance of wind turbines, being able to measure the energy that wasn\u00b4t generated in a specified period of time and the economic value of such loss.<\/p>\n<p>The algorithm takes as its basis three of the many indicators that influence the production of a wind farm. This is the density, the wind, the pressure, and the exercise that it performs is \u201cmodeling these data, saying what performance should it achieve\u201d if everything worked properly, said Guggeri.<\/p>\n<p>[\/tp]<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; [tp lang=\u00bbes\u00bb not_in=\u00bben\u00bb] Fuente: Diario El Pa\u00eds La firma uruguaya Ventus, que gestiona ocho parques e\u00f3licos en el pa\u00eds, desarroll\u00f3 con el apoyo de la Agencia Nacional de Investigaci\u00f3n e Innovaci\u00f3n (ANII) un software in\u00e9dito que permite evaluar el rendimiento de los aerogeneradores utilizando big data \u2014sistemas inform\u00e1ticos para el an\u00e1lisis de grandes vol\u00famenes [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[39,31,40],"tags":[],"class_list":["post-1377","post","type-post","status-publish","format-standard","hentry","category-mantenimiento","category-recurso-eolico","category-uruguay"],"_links":{"self":[{"href":"https:\/\/ventus.global\/blog\/wp-json\/wp\/v2\/posts\/1377","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ventus.global\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ventus.global\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ventus.global\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ventus.global\/blog\/wp-json\/wp\/v2\/comments?post=1377"}],"version-history":[{"count":2,"href":"https:\/\/ventus.global\/blog\/wp-json\/wp\/v2\/posts\/1377\/revisions"}],"predecessor-version":[{"id":1391,"href":"https:\/\/ventus.global\/blog\/wp-json\/wp\/v2\/posts\/1377\/revisions\/1391"}],"wp:attachment":[{"href":"https:\/\/ventus.global\/blog\/wp-json\/wp\/v2\/media?parent=1377"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ventus.global\/blog\/wp-json\/wp\/v2\/categories?post=1377"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ventus.global\/blog\/wp-json\/wp\/v2\/tags?post=1377"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}