{"id":43129,"date":"2026-10-14T23:52:13","date_gmt":"2026-10-14T21:52:13","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=43129"},"modified":"2026-10-14T23:52:13","modified_gmt":"2026-10-14T21:52:13","slug":"saref4ener-saref4envi-join-smart-data-models-116-candidate-models-for-energy-flexibility-and-environment","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/saref4ener-saref4envi-join-smart-data-models-116-candidate-models-for-energy-flexibility-and-environment\/","title":{"rendered":"SAREF4ENER &#038; SAREF4ENVI Join Smart Data Models: 116 Candidate Models for Energy Flexibility and Environment"},"content":{"rendered":"<p>Smart Data Models&#8217; <a href=\"https:\/\/github.com\/smart-data-models\/Candidates\">Candidates repository<\/a> now includes two new candidate standards translated from ETSI&#8217;s <strong>SAREF <\/strong>(&#8220;Smart Applications REFerence&#8221;) ontology family: <strong><code>saref4ener<\/code><\/strong> and<strong><code> saref4envi<\/code><\/strong>, together contributing <strong>116 candidate models<\/strong>. Both are official ETSI Technical Specifications, each with a normative PDF and a published Turtle\/JSON-LD\/RDF-XML ontology, and both ship the full Candidates artifact set \u2014 a JSON Schema, an NGSI-LD <code>@context<\/code>, and all four example serializations (NGSI-v2 and NGSI-LD, key-values and normalized) \u2014 validated against its own schema.<\/p>\n<h2 id=\"saref4ener-61-models\">SAREF4ENER \u2014 61 models<\/h2>\n<p><a href=\"https:\/\/saref.etsi.org\/saref4ener\/v2.1.1\/\">SAREF4ENER<\/a> (ETSI TS 103 410-1) is the SAREF extension for <strong>energy flexibility and demand-response<\/strong>: the vocabulary behind smart appliances, batteries, and loads that can shift or modulate their power consumption in response to grid signals or incentives. It covers seven distinct &#8220;flexibility profile&#8221; shapes (power-envelope, power-limit, fill-rate, incentive-table, demand-driven, operation-mode&#8230;), the request\/offer\/instruction messages exchanged between a flexibility provider and a grid operator, load-control events and states, and the generic data-point\/time-series building blocks used throughout.<\/p>\n<table>\n<thead>\n<tr>\n<th>Category<\/th>\n<th>Models<\/th>\n<th>Examples<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Flexibility profiles &amp; elements<\/td>\n<td>14<\/td>\n<td><code>PowerEnvelopeProfile<\/code>, <code>FillRateProfile<\/code>, <code>IncentiveTableProfile<\/code>, <code>OperationModeProfile<\/code><\/td>\n<\/tr>\n<tr>\n<td>Instructions (one per profile type)<\/td>\n<td>10<\/td>\n<td><code>OMBCInstruction<\/code>, <code>FRBCInstruction<\/code>, <code>PEBCInstruction<\/code>, <code>DDBCInstruction<\/code><\/td>\n<\/tr>\n<tr>\n<td>Flexibility communication<\/td>\n<td>3<\/td>\n<td><code>FlexRequest<\/code>, <code>FlexOffer<\/code>, <code>FlexibilityInstruction<\/code><\/td>\n<\/tr>\n<tr>\n<td>Load control<\/td>\n<td>4<\/td>\n<td><code>LoadControlEventData<\/code>, <code>LoadControlStateData<\/code>, <code>LoadControlEventAction<\/code><\/td>\n<\/tr>\n<tr>\n<td>Power\/energy constraints &amp; limits<\/td>\n<td>8<\/td>\n<td><code>PowerConstraint<\/code>, <code>PowerLimit<\/code>, <code>FailsafePowerLimit<\/code>, <code>ContractualPowerLimit<\/code><\/td>\n<\/tr>\n<tr>\n<td>Data &amp; scheduling<\/td>\n<td>7<\/td>\n<td><code>DataPoint<\/code>, <code>TimeSeries<\/code>, <code>GaussianDataPoint<\/code>, <code>Slot<\/code>, <code>Timer<\/code><\/td>\n<\/tr>\n<tr>\n<td>Core &amp; other<\/td>\n<td>15<\/td>\n<td><code>Device<\/code>, <code>Storage<\/code>, <code>PowerSequence<\/code>, <code>Role<\/code>, <code>Incentive<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Branch: <a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/saref4ener-candidates\"><code>saref4ener-candidates<\/code><\/a> \u2014 PR not yet opened.<\/p>\n<h2 id=\"saref4envi-55-models\">SAREF4ENVI \u2014 55 models<\/h2>\n<p><a href=\"https:\/\/saref.etsi.org\/saref4envi\/v2.1.1\/\">SAREF4ENVI<\/a> (ETSI TS 103 410-2)<br \/>\ncovers two distinct worlds under one ontology: a lighting\/light-pollution domain (lampposts, light points, illuminance\/sky-brightness observations) and a full <strong>waste-management lifecycle<\/strong> \u2014 from a resident&#8217;s bin, through collection rounds, to treatment, disposal, and the emissions and secondary resources that treatment produces.<\/p>\n<table>\n<thead>\n<tr>\n<th>Category<\/th>\n<th>Models<\/th>\n<th>Examples<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Buildings\/urban<\/td>\n<td>9<\/td>\n<td><code>Building<\/code>, <code>City<\/code>, <code>Neighbourhood<\/code>, <code>CollectionOfBuildings<\/code><\/td>\n<\/tr>\n<tr>\n<td>Waste treatment devices<\/td>\n<td>14<\/td>\n<td><code>Composter<\/code>, <code>AnaerobicDigester<\/code>, <code>IncineratorWithRecovery<\/code>, <code>Sorter<\/code><\/td>\n<\/tr>\n<tr>\n<td>Collection<\/td>\n<td>6<\/td>\n<td><code>CollectionPoint<\/code>, <code>Depot<\/code>, <code>Itinerary<\/code>, <code>WasteCollectionVehicle<\/code><\/td>\n<\/tr>\n<tr>\n<td>Treatment tasks &amp; functions<\/td>\n<td>8<\/td>\n<td><code>WasteTreatmentTask<\/code>, <code>WasteDisposalFunction<\/code><\/td>\n<\/tr>\n<tr>\n<td>Lighting<\/td>\n<td>4<\/td>\n<td><code>Light<\/code>, <code>LightPoint<\/code>, <code>Lamppost<\/code>, <code>ShieldedLamppost<\/code><\/td>\n<\/tr>\n<tr>\n<td>Waste core \/ resources \/ emissions<\/td>\n<td>11<\/td>\n<td><code>Waste<\/code>, <code>FinalWaste<\/code>, <code>Resource<\/code>, <code>Emission<\/code><\/td>\n<\/tr>\n<tr>\n<td>General<\/td>\n<td>3<\/td>\n<td><code>DigitalRepresentation<\/code>, <code>CommunicationInterface<\/code>, <code>CommunicationProtocol<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>A rich object-property graph (<code>accepts<\/code>, <code>isProducedBy<\/code>, <code>isDepositedIn<\/code>,<code> becomes<\/code>, <code>followsItinerary<\/code>&#8230;) is translated throughout as NGSI-LD Relationships between these models.<\/p>\n<p>Branch: <a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/saref4envi-candidates\"><code>saref4envi-candidates<\/code><\/a> \u2014 PR not yet opened.<\/p>\n<h2 id=\"translation-notes\">Translation notes<\/h2>\n<ul>\n<li><strong>Open vocabularies stay open.<\/strong> Both ontologies lean heavily on abstract &#8220;Kind&#8221; classification classes (<code>WasteKind<\/code>, <code>ContainerKind<\/code>,<code> EmissionKind<\/code>&#8230;) whose members are a small, fixed vocabulary rather than independently-instantiable things. Rather than creating dozens of near-empty entity types, these were folded into open\/enumerated string attributes on the entities that actually reference them (e.g.<code> Container.acceptedWasteKinds<\/code>, <code>Emission.emissionKind<\/code>).<\/li>\n<li><strong>Names preserved verbatim.<\/strong> SAREF4ENVI&#8217;s own class and property names were already PascalCase\/camelCase and needed zero renaming. SAREF4ENER&#8217;s profile\/instruction naming (<code>OMBCInstruction<\/code>, <code>FRBCInstruction<\/code>, &#8230;) is kept exactly as the ontology defines it.<\/li>\n<li><strong>Inheritance flattened, not duplicated.<\/strong> Following the precedent set by this repo&#8217;s Gaia-X candidate, a subclass&#8217;s schema lists only its own attributes; inherited ones are documented in its description instead of repeated (e.g. SAREF4ENVI&#8217;s <code>House<\/code>\/<code>NonResidentialBuilding<\/code> point back to<code> Building<\/code>\/<code>Perimeter<\/code>).<\/li>\n<li><strong>License recorded exactly as found.<\/strong> Both ontologies&#8217; <code>dcterms:license<\/code> resolves to ETSI&#8217;s own software license terms (BSD-3-Clause for SAREF4ENVI) \u2014 recorded in each standard&#8217;s <code>standard-metadata.yaml<\/code> for confirmation before promotion out of Candidates.<\/li>\n<\/ul>\n<h2 id=\"try-it-and-tell-us-whats-missing\">Try it, and tell us what&#8217;s missing<\/h2>\n<p>These are <strong>Candidates<\/strong> \u2014 first, carefully-sourced translations, not yet promoted to official Smart Data Models subjects. A few things are open and would benefit from community input before that step: license confirmation for the specific v2.1.1 releases, and a check for overlap with existing official subjects (<code>dataModel.Device<\/code>, <code>dataModel.Environment<\/code>,<br \/>\n<code>dataModel.WasteManagement<\/code>-adjacent models).<\/p>\n<p>Browse the models, open an issue, or send a PR:<br \/>\n\ud83d\udc49 <a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4ener\">https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4ener<\/a><br \/>\n\ud83d\udc49 <a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4envi\">https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4envi<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Smart Data Models&#8217; Candidates repository now includes two new candidate standards translated from ETSI&#8217;s SAREF (&#8220;Smart Applications REFerence&#8221;) ontology family: saref4ener and saref4envi, together contributing 116 candidate models. Both are official ETSI Technical Specifications, each with a normative PDF and a published Turtle\/JSON-LD\/RDF-XML ontology, and both ship the full Candidates&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/saref4ener-saref4envi-join-smart-data-models-116-candidate-models-for-energy-flexibility-and-environment\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[103,48],"tags":[],"class_list":["post-43129","post","type-post","status-publish","format-standard","hentry","category-energy","category-environment"],"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":32325,"url":"https:\/\/smartdatamodels.org\/index.php\/besser-smart-data-json-schema-generator\/","url_meta":{"origin":43129,"position":0},"title":"BESSER Smart Data JSON Schema Generator","author":"maestro","date":"27\/02\/2026","format":false,"excerpt":"Overview The tool automates the generation of Smart Data Models (SDM) from visual models, bridging the gap between high-level domain design and technical implementation for Digital Twins and IoT ecosystems. Technical Workflow Input: Users define domain entities and relationships using B-UML (a simplified UML dialect) within the BESSER Pearl editor.\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":40343,"url":"https:\/\/smartdatamodels.org\/index.php\/gaia-x-ontology-joins-smart-data-models-165-candidate-models-for-cloud-connectivity-trust\/","url_meta":{"origin":43129,"position":1},"title":"Gaia-X Ontology Joins Smart Data Models: 165 Candidate Models for Cloud, Connectivity &#038; Trust","author":"maestro","date":"20\/08\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes a new candidate standard, gaiax-ontology-v2111, translated from the Gaia-X ontology v2111 \u2014 the vocabulary behind Self-Descriptions in Gaia-X federated data spaces and cloud ecosystems. All 165 classes published at docs.gaia-x.eu\/ontology\/v2111\/classes now have an NGSI-LD \/ NGSI-v2 representation. What's in it Gaia-X's ontology is\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/08\/Gemini_Generated_Image_3gnhx13gnhx13gnh-300x300.jpeg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":38306,"url":"https:\/\/smartdatamodels.org\/index.php\/introducing-the-smart-data-models-candidates-repository\/","url_meta":{"origin":43129,"position":2},"title":"Introducing the Smart Data Models Candidates Repository","author":"Agent","date":"22\/07\/2026","format":false,"excerpt":"The Smart Data Models now has a Candidates repository \u2014 a low-friction entry point where any existing standard, ontology or open dataset can be translated into the SDM shape (JSON Schema + NGSI-LD context + examples) before anyone commits to the full contribution process. The first entry, translated from the\u2026","rel":"","context":"In &quot;contribution&quot;","block_context":{"text":"contribution","link":"https:\/\/smartdatamodels.org\/index.php\/category\/contribution\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":43133,"url":"https:\/\/smartdatamodels.org\/index.php\/saref4watr-saref4grid-join-smart-data-models-89-candidate-models-for-water-and-smart-grid-metering\/","url_meta":{"origin":43129,"position":3},"title":"SAREF4WATR &#038; SAREF4GRID Join Smart Data Models: 89 Candidate Models for Water and Smart Grid Metering","author":"Agent","date":"15\/10\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes two more ETSI SAREF extensions, both built around smart metering: saref4watr and saref4grid, together contributing 89 candidate models \u2014 the largest pair in this translation round. Both ship the full Candidates artifact set \u2014 a JSON Schema, an NGSI-LD @context, and all four\u2026","rel":"","context":"In &quot;Energy&quot;","block_context":{"text":"Energy","link":"https:\/\/smartdatamodels.org\/index.php\/category\/energy\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":41633,"url":"https:\/\/smartdatamodels.org\/index.php\/state-of-the-candidates-repository-29-standards-385-data-models\/","url_meta":{"origin":43129,"position":4},"title":"State of the Candidates Repository: 29 Standards, 385 Data Models","author":"maestro","date":"08\/09\/2026","format":false,"excerpt":"This is just a summary for the participants of the FIWARE global summit 2026. See you there in Menton. Smart Data Models' Candidates repository has grown a lot over the past few weeks. This post is a single roundup of everything in it today: 29 source standards, translated into 385\u2026","rel":"","context":"In &quot;Governance&quot;","block_context":{"text":"Governance","link":"https:\/\/smartdatamodels.org\/index.php\/category\/governance\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":10263,"url":"https:\/\/smartdatamodels.org\/index.php\/metadata-of-the-catalogue-available\/","url_meta":{"origin":43129,"position":5},"title":"Metadata of the catalogue available","author":"maestro","date":"01\/02\/2024","format":false,"excerpt":"Now in the tools menu (currently the last option) you have a complete list of the most relevant links to the assets of the data models compile in the Smart Data Models initiative. You can check in the main menu -> Tools\u00a0 -> Metadata of the data models The information\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/43129","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=43129"}],"version-history":[{"count":2,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/43129\/revisions"}],"predecessor-version":[{"id":43151,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/43129\/revisions\/43151"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=43129"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=43129"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=43129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}