Optimering og reducering af energiforbrug i produktionsleddet. Her har vi leveret en logningsl\u00f8sning til tre kraftvarmeanl\u00e6g i Nuuk, Gr\u00f8nland. Her er form\u00e5let at f\u00e5 indsigt i den energim\u00e6ngde som leveres ud i varmenettet samtidigt med at en algoritme tr\u00e6nes til at kunne forudsige forventet energiaftag i fjernvarmenettet ud fra kommende vejrudsigter. Nukissiorfiit opn\u00e5r detaljeret viden om m\u00e6ngden af varmetab i forsyningsnettet n\u00e5r den producerede energim\u00e6ngde sammenlignes med den afregnede.<\/p>\n\n\n\n
Vi er i dialog med flere selskaber om optimering og tilrettel\u00e6ggelse af produktion af varme mellem forskellige produktionsformer med mindst muligt forbrug af prim\u00e6re ressourcer. I det samlede billede bidrages der til lavere CO2 udledning og reduktion af omkostninger. Her er modeldannelse af det samlede system og brug af machine learning n\u00f8gleparametre. Her interfacer vi direkte til PLC eller SCADA systemer.<\/p>\n\n\n\n
Reducering af returtemperatur hos forbrugeren og dermed energiforbrug i forbrugsleddet. Dette er n\u00f8glen i fjernvarmebranchen til bedre energiudnyttelse og mindsket varmetab. Her er det tanken at bygge videre p\u00e5 de erfaringer omkring machine learning og den digitale model af en fjernvarmeforbruger, som vi opn\u00e5ede i projektet Digital Energy Lab tilbage i 2022.<\/p>\n\n\n\n
Herunder et \u201dIndsvingningsforl\u00f8b\u201d p\u00e5 en algoritme indl\u00e6ring baseret p\u00e5 fjernvarme forbrugsdata logget hvert minut.<\/p>\n\n\n\n Reduktion af energiforbruget indenfor fjernvarmen. Det var Sustech\u2019s indtog til machine learning og algoritmer, hvor der blev bygget en Digital […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-50","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sustech.optilogic.dk\/index.php?rest_route=\/wp\/v2\/pages\/50","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sustech.optilogic.dk\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sustech.optilogic.dk\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sustech.optilogic.dk\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sustech.optilogic.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=50"}],"version-history":[{"count":5,"href":"https:\/\/sustech.optilogic.dk\/index.php?rest_route=\/wp\/v2\/pages\/50\/revisions"}],"predecessor-version":[{"id":181,"href":"https:\/\/sustech.optilogic.dk\/index.php?rest_route=\/wp\/v2\/pages\/50\/revisions\/181"}],"wp:attachment":[{"href":"https:\/\/sustech.optilogic.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=50"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/sustech.optilogic.dk\/wp-content\/uploads\/2025\/01\/algoritme-indsvingning.png\")
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