{"id":440566,"date":"2026-05-13T08:23:00","date_gmt":"2026-05-13T07:23:00","guid":{"rendered":"https:\/\/www.glpi-project.org\/?p=440566"},"modified":"2026-05-13T08:22:28","modified_gmt":"2026-05-13T07:22:28","slug":"carbon-plugin-for-glpi-1-2-0-is-now-available","status":"publish","type":"post","link":"https:\/\/www.glpi-project.org\/en\/carbon-plugin-for-glpi-1-2-0-is-now-available\/","title":{"rendered":"Carbon Plugin for GLPI 1.2.0 is now available!"},"content":{"rendered":"\n<p>We are pleased to announce that <strong>Carbon Plugin for GLPI 1.2.0<\/strong> is now available.<\/p>\n\n\n\n<p>Built as part of the <strong><a href=\"https:\/\/www.irt-systemx.fr\/projet\/projet-ien\/\" target=\"_blank\" rel=\"noopener\">IEN Project (Impact Environnemental du Num\u00e9rique)<\/a><\/strong> in collaboration with IRT SystemX, Teclib' and other partners, this plugin helps IT teams evaluate the environmental footprint of their assets directly from GLPI.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What's new<\/h2>\n\n\n\n<p>This release brings significant improvements to both the scope and accuracy of environmental impact assessments:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Per-asset carbon emissions<\/strong> \u2014 Total emissions are now visible at the individual asset level, making granular impact assessments easier.<\/li>\n\n\n\n<li><strong>20 impact criteria<\/strong> \u2014 The plugin now covers 20 environmental criteria, including water usage, for a comprehensive view of your IT footprint.<\/li>\n\n\n\n<li><strong>New dashboard widgets<\/strong> \u2014 New cards and widgets cover both usage and embodied impacts across all supported criteria.<\/li>\n\n\n\n<li><strong>Decommission date support<\/strong> \u2014 Track asset lifecycle more accurately and attribute usage emissions to the correct period.<\/li>\n\n\n\n<li><strong>Asset exclusion<\/strong> \u2014 Specific assets or asset types can be excluded from impact calculations.<\/li>\n\n\n\n<li><strong>Manual embodied impact<\/strong> \u2014 Set embodied impacts at the model level for more accurate assessments when manufacturer data is available.<\/li>\n\n\n\n<li><strong>Improved fallback logic<\/strong> \u2014 Better selection of carbon intensity sources when primary data is unavailable.<\/li>\n\n\n\n<li><strong>Data download caching<\/strong> \u2014 Carbon intensity data is now cached to improve performance and reduce unnecessary API calls.<\/li>\n\n\n\n<li><strong>Redesigned location mapping<\/strong> \u2014 The relationship between locations and carbon intensity sources has been reworked for greater flexibility and precision.<\/li>\n\n\n\n<li><strong>Cron task gap reporting<\/strong> \u2014 Carbon intensity download tasks now flag missing data periods.<\/li>\n\n\n\n<li>Various bug fixes.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">How to download<\/h3>\n\n\n\n<p><strong>Carbon Plugin for GLPI 1.2.0<\/strong> is available on the <strong>GLPI Marketplace<\/strong> (recommended) or directly from the GitHub releases page:<\/p>\n\n\n\n<p>\ud83d\udc49 <a href=\"https:\/\/github.com\/pluginsGLPI\/carbon\/releases\/tag\/1.2.0\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/pluginsGLPI\/carbon\/releases\/tag\/1.2.0<\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We are pleased to announce that Carbon Plugin for GLPI 1.2.0 is now available. Built as part of the IEN Project (Impact Environnemental du Num\u00e9rique) in collaboration with IRT SystemX, Teclib' and other partners, this plugin helps IT teams evaluate the environmental footprint of their assets directly from GLPI. What's new This release brings significant [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":440567,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[153],"tags":[],"class_list":["post-440566","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-produits"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.glpi-project.org\/en\/wp-json\/wp\/v2\/posts\/440566","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.glpi-project.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.glpi-project.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.glpi-project.org\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.glpi-project.org\/en\/wp-json\/wp\/v2\/comments?post=440566"}],"version-history":[{"count":1,"href":"https:\/\/www.glpi-project.org\/en\/wp-json\/wp\/v2\/posts\/440566\/revisions"}],"predecessor-version":[{"id":440568,"href":"https:\/\/www.glpi-project.org\/en\/wp-json\/wp\/v2\/posts\/440566\/revisions\/440568"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.glpi-project.org\/en\/wp-json\/wp\/v2\/media\/440567"}],"wp:attachment":[{"href":"https:\/\/www.glpi-project.org\/en\/wp-json\/wp\/v2\/media?parent=440566"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.glpi-project.org\/en\/wp-json\/wp\/v2\/categories?post=440566"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.glpi-project.org\/en\/wp-json\/wp\/v2\/tags?post=440566"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}