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Energym: A Building Model Library for Controller Benchmarking

Paul Scharnhorst, Baptiste Schubnel, Carlos Fernández Bandera, Jaume Salom, Paolo Taddeo, Max Boegli, Tomasz T. Gorecki, Yves Stauffer, Antonis Peppas, Chrysa Politi

2021Applied Sciences58 citationsDOIOpen Access PDF

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.

Topics & Concepts

BenchmarkingComputer scienceBenchmark (surveying)Python (programming language)Key (lock)Performance indicatorSystems engineeringSoftware engineeringEngineeringProgramming languageOperating systemGeographyMarketingManagementBusinessEconomicsGeodesyBuilding Energy and Comfort OptimizationWind and Air Flow StudiesEnergy Load and Power Forecasting