{"id":43811,"date":"2026-11-12T19:28:17","date_gmt":"2026-11-12T18:28:17","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=43811"},"modified":"2026-11-12T19:28:17","modified_gmt":"2026-11-12T18:28:17","slug":"open-energy-ontology-joins-smart-data-models-5-candidate-models-for-power-plants-storage-and-grids","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/open-energy-ontology-joins-smart-data-models-5-candidate-models-for-power-plants-storage-and-grids\/","title":{"rendered":"Open Energy Ontology Joins Smart Data Models: 5 Candidate Models for Power Plants, Storage and Grids"},"content":{"rendered":"

Smart Data Models\u2019 Candidates repository<\/a> now includes a new candidate standard translated from the Open Energy Ontology (OEO)<\/strong>: open-energy-ontology<\/code><\/strong>, with 5 candidate models<\/strong> for power plants, generating units, energy storage and supply grids. OEO is the reference vocabulary of the Open Energy Platform<\/a> and is published under CC0-1.0<\/strong>. Like every candidate, each model comes with a JSON Schema, an NGSI-LD @context<\/code> and all four example serializations (NGSI-v2 and NGSI-LD, key-values and normalized), each validated against its schema.<\/p>\n

About the Open Energy Ontology<\/h2>\n

OEO<\/a> is a domain ontology for energy system modelling and analysis, built on the Basic Formal Ontology (BFO). Release v2.14.0 (October 2026), the one translated here, has more than 1,300 classes of its own. They cover the physical energy system (power plants, units, converting components, storage, grids, fuels and energy carriers), quantities and units, and the research side of the field: models, scenarios, studies and data sets.<\/p>\n

The models<\/h2>\n\n\n\n\n\n\n\n\n\n
Model<\/th>\nOEO class<\/th>\nOEO subclasses covered<\/th>\nExamples of oeoClass<\/code> values<\/th>\n<\/tr>\n<\/thead>\n
PowerPlant<\/code><\/td>\npower plant (OEO_00000031)<\/td>\n37<\/td>\nlignite power plant, combined cycle gas power plant, offshore wind farm, pumped hydro storage power plant<\/td>\n<\/tr>\n
PowerGeneratingUnit<\/code><\/td>\npower generating unit (OEO_00000334)<\/td>\n30<\/td>\ngas fired power unit, nuclear power unit, wind energy converting unit, PV panel<\/td>\n<\/tr>\n
EnergyStorageObject<\/code><\/td>\nenergy storage object (OEO_00000159)<\/td>\n29<\/td>\nlithium-ion battery, flow battery, sensible heat storage object, underground hydrogen storage object<\/td>\n<\/tr>\n
GridComponent<\/code><\/td>\ngrid component (OEO_00020006)<\/td>\n19<\/td>\ngrid node, switchyard, transformer, HVDC-line, vehicle charging station<\/td>\n<\/tr>\n
SupplyGrid<\/code><\/td>\nsupply grid (OEO_00000200)<\/td>\n7<\/td>\ntransmission grid, distribution grid, gas grid, heating grid, control area<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The models are linked by OEO\u2019s own relations: a plant hasPart<\/code> its units, a component is partOf<\/code> a grid, grid nodes are isConnectedTo<\/code> each other, a grid has a hasSource<\/code> and a hasSink<\/code>, and a unit uses<\/code> its fuel (natural gas, lignite, \u2026 as OEO class IRIs). In NGSI-LD these become Relationships.<\/p>\n

Grounded in real data<\/h2>\n

Four of the five examples describe one real installation, using Open Power System Data<\/a> records (CC-BY-4.0, from the BNetzA and UBA power plant lists): the Irsching power plant<\/strong> in Bavaria, its unit 4 \u201cUlrich Hartmann\u201d (561 MW net, efficiency 0.604, natural gas combined cycle), the extra-high-voltage grid node it connects to, and the TenneT transmission grid<\/strong>. Units and plants are identified by their ENTSO-E EIC codes.<\/p>\n

Translation notes<\/h2>\n