A recent wind energy ontology from Denmark:
Vasiljevic, Nikola (16 July 2020). DTU wind energy metadata and terminology — Presentation. Copenhagen, Denmark: Technical University of Denmark (DTU). doi:10.5281/zenodo.4033073. Date from PDF metadata. CC‑BY‑NC‑ND‑4.0 license.
Computer tech firm Microsoft are developing a digital twin ontology for energy grids (I’ve not had a chance to review much of this, sorry):
More here:
Related to smart buildings, smart cities, and energy grids, with the energy grid work somehow based on the IEC CIM model.
Here is a list of pre‑production entity descriptions (officially “data models”) written in DTDL (see previous posting). There are now 550 such descriptions, of which 400 lie within the energy domain. For instance, an electricity meter description:
While this URL offers an interface for locating the entities:
Now I am not suggesting that this work is useful for energy system analysis. But it is rather more indicative of work aimed at building smarter cities. However I regard the air gap between description and characterization as pretty small. Indeed these two concepts are tightly bound, so producing descriptions without (by my reading) much thought on characterizations would seem to represent only a very minimal first step.
Follow up: I was a bit quick to judge. The entity descriptions are indeed based on the open source CIMpy project from RWTH Aachen with modifications to meet the ETSI NGSI standard for context information exchange within smart cities and then reimplemented using DTDL. The CIM standard is widely used to exchange electricity system information within that sector.
Further information: this newly released position paper describes software architecture being developed to support smart systems:
The European openENTRANCE project has been developing a set of definitions for the common terms it uses:
The vocabulary employees a common data format based on a template developed by the Integrated Assessment Modeling Consortium (IAMC) and already in use in many model comparison projects at both global and national level. The vocabulary is also supported by an installable python package.
The Technical University of Denmark (DTU) has developed a controlled vocabulary for use in wind energy research and development. The vocabulary also covers the associated engineering control systems and is known as NEAT: wiNd Energy tAxonomy of Topics. The vocabulary and associated tooling are being maintained on GitHub:
Wind site evaluation, wind farm operation, and wind turbine testing all generate huge amounts of data. Downscaling that information and presenting it for use in policy‑oriented studies is something our community could discuss further?
The development of NEAT began as part of the Integrated Research Programme on Wind Energy (IRPWIND) and was funded under European Union FP7. The final report is on Zenodo:
The DBpedia umbrella now provides a regularly updated database of web‑accessible ontologies written in the OWL ontology language. The project is called Archivo and here are some URLs:
Archivo also provides a four star rating scheme for the ontologies it scrapes, based on accessibility, quality, and related fitness‑for‑use criteria. For instance, SHACL compliance for graph‑based data is evaluated. Ontologies should also contain metadata about their characteristics and a public license describing their terms‑of‑use. A technical paper and a corresponding presentation describing the Archivo database are available:
Frey, Johannes, Denis Streitmatter, Fabian Götz, Sebastian Hellmann, and Natanael Arndt (27 October 2020). DBpedia Archivo: a web‑scale interface for ontology archiving under consumer‑oriented aspects. In York Sure‑Vetter, Harald Sack, Philippe Cudré‑Mauroux, Maria Maleshkova, Tassilo Pellegrini, and Maribel Acosta (editors). Semantic systems: the power of AI and knowledge graphs. Cham, Switzerland: Springer. ISBN 978‑3‑030‑59832‑7. doi:10.1007/978‑3‑030‑59833‑4_2. Download as either PDF or ePUB. Creative Commons CC‑BY‑4.0 license. Preprint PDF.
Frey, Johannes, Denis Streitmatter, Fabian Götz, Sebastian Hellmann, and Natanael Arndt (10 September 2020). DBpedia Archivo: a web‑scale interface for ontology archiving under consumer‑oriented aspects. Leipzig, Germany: Institut für Angewandte Informatik (InfAI). YouTube video 00:10:38.
Ontology developers may manually add their ontologies to Archivo and have them assessed. As of June 2021, the database contains 1368 entries. The Open Energy Ontology is listed.
As an example, I recently used Archivo to locate an ontology covering a limited set of common public licenses for content, code, and data:
The German Nationale Forschungsdateninfrastrukur (NFDI) (translation: German National Research Data Infrastructure) is a national initiative to develop a distributed digital infrastructure for scientific communities within Germany with the goal of improving the management of research data. One of the targeted domains is engineering science, hence the “NFDI4ing” tag (the “ing” stub alludes to an Ingenieur*in or engineer). More here on the domain landing page:
The NFDI4ing workstream includes a project to classify and catalog engineering ontologies, provide informative metrics, and offer overlaid services. For instance, provision of trust metrics could report longitudinal information on usage and curation. And overlaid services could include search functionality and recommendation heuristics. The engineering ontology catalog is in English and is dubbed a “Terminology Service”:
The first release of the catalog was in July 2021 and offered then 20 ontologies comprising about 2300 properties. There is also a graphical object viewer that depicts object hierarchies.