Building energy systems are often incorrectly controlled and therefore unnecessarily consume too much energy. Especially in non-residential buildings, Building automation systems offer the possibility to influence the control. A distinctive mark for the description of data points is their naming system. The scheme is often specified by the client, or the scheme of the building automation manufacturer is used. In some cases, these are not even named according to a scheme. This individual designation makes it difficult to use automatic algorithms (analysis, error detection, operational management).
A joint team from E.ON ERC and Fraunhofer ISE has tackled this problem and developed a standardized method for naming data points. This method is based on a technique originally developed at Fraunhofer ISE for the designation of data points. This was further developed by E.ON ERC with the support of Fraunhofer ISE. It is entitled "Buildings Unified Data point naming schema for Operation management" (or BUDO for short) and is specially designed for the demands of energy system analysis and operational management. It can be used in new and existing buildings. This means that developed automated methods can be implemented in both new and existing buildings.
To make this key practical, an easy-to-use Excel tool has been developed. This allows the original name to be inserted and then renamed using the standardized naming scheme. The individual parts of the data point key can be selected in a dropdown menu and thus the name of a data point can be compiled. The tool is hosted on GitHub under: https://github.com/RWTH-EBC/BUDO.
The structure of the data point is very simple. There is space at the beginning for an individual name. This means that every operator can map his organizational structure in the schema. This is separated from the standardized part of the data point key by a "//". Then the categories "System", "Component/Subsystem", "Medium/Position", "Type" and "Function type" can be selected. These have several specifications, so that it is possible to select very precisely to which plant and system a data point is assigned, where it is located and what type it represents.
By selecting optional designations or numbering, the designations used in the database can be integrated. This means that the individual data points can still be recognized on existing plans. These manual specifications can also be used for the data visualization of customers.
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We thank the BMWi (Federal Ministry of Economics and Energy) for their financial support, Contribution numbers 03ET1022A, 03SBE0006A, 03ET1373A.