Towards Smart Buildings: A Versatile Acquisition Setup for Indoor Climate Data

Real measurement data of indoor climate in buildings provide a valuable foundation for models, their calibration and validation, as well as for control. Hence, the present paper describes a respective experimental measurement setup. We mainly collect temperature and humidity data in three different buildings: A newer office building exemplarily represents buildings with modern infrastructure supporting wired sensors. Lacking this prerequisite, the setups in an older building and a laboratory depend on radio communication only, for which we largely use Internet of Things (IoT) technologies. Since the choices regarding data acquisition, transfer, and processing strongly influence the quality of the data, we focus on communication and back-end infrastructure, as well as visualization and data treatment. We provide methods and tools as open source packages.

[1]  Kevin J. Lomas,et al.  Empirical validation of building energy simulation programs , 1997 .

[2]  Frauke Oldewurtel,et al.  Use of partial least squares within the control relevant identification for buildings , 2013 .

[3]  Rita Streblow,et al.  Development and validation of grey-box models for forecasting the thermal response of occupied buildings , 2016 .

[4]  P. H. Baker,et al.  PASLINK and dynamic outdoor testing of building components , 2008 .

[5]  John T. Wen,et al.  Office building model identification and control design , 2014, 2014 American Control Conference.

[6]  Veit Hagenmeyer,et al.  Technical Potential of Buildings in Germany as Flexible Power‐to‐Heat Storage for Smart‐Grid Operation , 2017 .

[7]  Veit Hagenmeyer,et al.  A Comparison of Economic MPC Formulations for Thermal Building Control , 2019, 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe).

[8]  Alexander Mitsos,et al.  Model compendium, data, and optimization benchmarks for sector-coupled energy systems , 2020, Comput. Chem. Eng..

[9]  Antonio Messineo,et al.  Coupling a neural network temperature predictor and a fuzzy logic controller to perform thermal comfort regulation in an office building , 2014 .

[10]  Mariagrazia Dotoli,et al.  Model predictive control for thermal comfort optimization in building energy management systems , 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

[11]  Richard Lutz Neues Konzept zur 2D- und 3D-Visualisierung kontinuierlicher, multidimensionaler, meteorologischer Satellitendaten , 2011 .