Energym: A Building Model Library for Controller Benchmarking
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Building Energy and Comfort Optimization · Wind and Air Flow Studies · Energy Load and Power Forecasting
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Centre Suisse d’Electronique et de Microtechnique (CSEM), 2000 Neuchâtel, Switzerland
Automatic Control Laboratory, EPFL, 1015 Lausanne, Switzerland
Department of Environmental Engineering, University of Navarra, 31009 Pamplona, Spain
Thermal Energy and Building Performance Group, Catalonia Institute for Energy Research (IREC), 08930 Barcelona, Spain
School of Mining and Metallurgical Engineering, National Technical University of Athens (NTUA), 15780 Athens, Greece
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