{"id":36274,"date":"2026-06-10T02:00:40","date_gmt":"2026-06-10T00:00:40","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=36274"},"modified":"2026-06-10T02:00:40","modified_gmt":"2026-06-10T00:00:40","slug":"new-data-models-fuelcell-and-fuelcellmeasurement-at-subject-datamodel-energystorage","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-data-models-fuelcell-and-fuelcellmeasurement-at-subject-datamodel-energystorage\/","title":{"rendered":"New data models FuelCell and FuelCellMeasurement at subject dataModel.EnergyStorage"},"content":{"rendered":"

We are pleased to announce the publication of ElectrolyzerMeasurement<\/a> and FuelCell<\/a> and FuelCellMeasurement<\/a> within the subject dataModel.EnergyStorage<\/a>.<\/p>\n

\"\"<\/p>\n

FuelCell:<\/strong> A instantaneous measure of hydrogen consumption \/ power generation by a fuel cell<\/p>\n

FuelCellMeasurement:<\/strong> A instantaneous measure of pressure and ambient temperature in a hydrogen storage tank<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

We are pleased to announce the publication of ElectrolyzerMeasurement and FuelCell and FuelCellMeasurement within the subject dataModel.EnergyStorage. FuelCell: A instantaneous measure of hydrogen consumption \/ power generation by a fuel cell FuelCellMeasurement: A instantaneous measure of pressure and ambient temperature in a hydrogen storage tank   More…<\/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,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"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":[105],"tags":[],"class_list":["post-36274","post","type-post","status-publish","format-standard","hentry","category-cross-sector"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":36263,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-models-electrolyzer-and-electrolizermeasurement-at-subject-datamodel-energystorage\/","url_meta":{"origin":36274,"position":0},"title":"New data models Electrolyzer and ElectrolizerMeasurement at subject dataModel.EnergyStorage","author":"Agent","date":"10\/06\/2026","format":false,"excerpt":"We are pleased to announce the publication of Electrolyzer and ElectrolizerMeasurement within the new subject dataModel.EnergyStorage. Electrolyzer: A generic electrolyzer which can generate hydrogen from energy ElectrolyzerMeasurement. A instantaneous measure of hydrogen generation \/ power consumption by a electrolyzer \u00a0","rel":"","context":"In "Smart Energy domain"","block_context":{"text":"Smart Energy domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-energy-domain\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/06\/Gemini_Generated_Image_vfsclnvfsclnvfsc-300x300.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":251,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-air-quality-data-model\/","url_meta":{"origin":36274,"position":1},"title":"Updated Air quality data model","author":"maestro","date":"01\/04\/2020","format":false,"excerpt":"Included pollutants Arsenic, Benzene, Cadmium, carbon monoxide, nickel, nitrogen monoxide, nitrogen dioxide, ozone, particulate minor 10 microns, particulate minor 2.5 microns, lead, sulfur dioxide, hydrogen sulfide. Available here.","rel":"","context":"In "Environment"","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2463,"url":"https:\/\/smartdatamodels.org\/index.php\/new-subject-datamodel-riskmanagement\/","url_meta":{"origin":36274,"position":2},"title":"New Subject dataModel.RiskManagement","author":"maestro","date":"24\/05\/2021","format":false,"excerpt":"A new subject has been created in the CrossSector domain. dataModel.RiskManagement compiles data models for generic risk management. Candidate data models are being developed in the incubated repository .\u00a0 Soon it will be populated with these data models: Asset, CyberAnalysis, Exposure, GISData, Hazard, Measure, Mitigation, NetworkServiceAlert, Risk, Vulnerability. \u00a0 \u00a0","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1219,"url":"https:\/\/smartdatamodels.org\/index.php\/new_data_model_for_environment_phreatic_observed\/","url_meta":{"origin":36274,"position":3},"title":"New data model for Environment. Phreatic Observed","author":"maestro","date":"02\/01\/2021","format":false,"excerpt":"There is a new data model\u00a0PhreaticObserved is intended to measure, observe and control the level and quality of groundwater at a given time (T), by a fixed or mobile monitoring system. Depending on the device used, it is also possible to measure the quality of water such as its electrical\u2026","rel":"","context":"In "Environment"","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2043,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model\/","url_meta":{"origin":36274,"position":4},"title":"New data model StorageBatteryMeasurement in dataModel.Battery subject","author":"maestro","date":"05\/04\/2021","format":false,"excerpt":"1 new data model in the subject datamodel.Battery StorageBatteryMeasurement. Storage Battery Observed Data Model is intended to measure the remaining energy capacity in a battery, which can be redistributed in the form of electrical energy. These functions apply from a source that depends on the type of battery (a reference\u2026","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1910,"url":"https:\/\/smartdatamodels.org\/index.php\/two-new-data-models-photovoltaicdevice-and-photovoltaicmeasurement-in-greenenergy-subject\/","url_meta":{"origin":36274,"position":5},"title":"Two new data models PhotovoltaicDevice and PhotovoltaicMeasurement in GreenEnergy Subject","author":"maestro","date":"15\/03\/2021","format":false,"excerpt":"Two new data models, PhotovoltaicDevice and PhotovoltaicMeasurement are available in the dataModel.GreenEnergy Subject. PhotovoltaicDevice: The Data Model is intended to describe the mechanical, electrical, and thermal characteristics of photo-voltaic panels according to STC - Standard Test Condition and NOCT - Normal Operating Cell Temperature PhotovoltaicMeasurement: The Data Model is intended\u2026","rel":"","context":"In "Smart Energy domain"","block_context":{"text":"Smart Energy domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-energy-domain\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/36274","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=36274"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/36274\/revisions"}],"predecessor-version":[{"id":36275,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/36274\/revisions\/36275"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=36274"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=36274"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=36274"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}