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Energym: A Building Model Library for Controller Benchmarking

Authors :
Antonis Peppas
Max Boegli
Paul Scharnhorst
Carlos Fernández Bandera
Chrysa Politi
Baptiste Schubnel
Tomasz T. Gorecki
Paolo Taddeo
Jaume Salom
Yves Stauffer
Source :
Applied Sciences, Vol 11, Iss 3518, p 3518 (2021), Applied Sciences, Volume 11, Issue 8
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

We introduce the Python-based open-source library Energym, a building model library to test and benchmark building controllers. The incorporated building models are presented with a brief explanation of their function, location and technical equipment. Furthermore, the library structure is described, highlighting the necessary features to provide the benchmarking and control capabilities, i.e., standardized evaluation scenarios, key performance indicators (KPIs) and forecasts of uncertain variables. We go on to characterize the evaluation scenarios for each of the models and give formal definitions of the KPIs. We describe the calibration methodologies used for constructing the models and illustrate their usage through examples.

Details

Language :
English
ISSN :
20763417
Volume :
11
Issue :
3518
Database :
OpenAIRE
Journal :
Applied Sciences
Accession number :
edsair.doi.dedup.....41a72947ee29e1829ac865c6d8df578c