TY - JOUR
T1 - A guideline to document occupant behavior models for advanced building controls
AU - Dong, Bing
AU - Markovic, Romana
AU - Carlucci, Salvatore
AU - Liu, Yapan
AU - Wagner, Andreas
AU - Liguori, Antonio
AU - van Treeck, Christoph
AU - Oleynikov, Dmitry
AU - Azar, Elie
AU - Fajilla, Gianmarco
AU - Drgoňa, Ján
AU - Kim, Joyce
AU - Vellei, Marika
AU - De Simone, Marilena
AU - Shamsaiee, Masood
AU - Bavaresco, Mateus
AU - Favero, Matteo
AU - Kjaergaard, Mikkel
AU - Osman, Mohamed
AU - Frahm, Moritz
AU - Dabirian, Sanam
AU - Yan, Da
AU - Kang, Xuyuan
N1 - Funding Information:
Bing Dong and Yapan Liu would like to thank the support from the U.S. National Science Foundation (Award No. 1949372 ). Romana Markovic and Andreas Wagner gratefully acknowledge the financial support by the German Federal Ministry for Economic Affairs and Climate Action (BMWK) , promotional reference 03EN1002A . Dmitry Oleynikov gratefully acknowledges the financial support by the German Federal Ministry for Economic Affairs and Climate Action (BMWK) , promotional reference 03EN1002B . Moritz Frahm gratefully acknowledges the financial support from the German Federal Ministry for Economic Affairs and Climate Action (BMWK) , promotional reference 03ETW016A . Gianmarco Fajilla would like to thank the Calabria Region Government for his Ph.D. scholarship (POR Calabria FSE/FESR 2014- 2020, Identification Project Number H21G18000170006 ). Antonio Liguori and Christoph van Treeck were funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -- TR 892/4-1 . This paper benefited greatly from discussions with members of IEA EBC Annex 79.
Publisher Copyright:
© 2022
PY - 2022/7/1
Y1 - 2022/7/1
N2 - The availability of computational power, and a wealth of data from sensors have boosted the development of model-based predictive control for smart and effective control of advanced buildings in the last decade. More recently occupant-behavior models have been developed for including people in the building control loops. However, while important objectives of scientific research are reproducibility and replicability of results, not all information is available from published documents. Therefore, the aim of this paper is to propose a guideline for a thorough and standardized occupant-behavior model documentation. For that purpose, the literature screening for the existing occupant behavior models in building control was conducted, and the occupant behavior modeling processes were studied to extract practices and gaps for each of the following phases: problem statement, data collection, and preprocessing, model development, model evaluation, and model implementation. The literature screening pointed out that the current state-of-the-art on model documentation shows little unification, which poses a particular burden for the model application and replication in field studies. In addition to the standardized model documentation, this work presented a model-evaluation schema that enabled benchmarking of different models in field settings as well as the recommendations on how OB models are integrated with the building system.
AB - The availability of computational power, and a wealth of data from sensors have boosted the development of model-based predictive control for smart and effective control of advanced buildings in the last decade. More recently occupant-behavior models have been developed for including people in the building control loops. However, while important objectives of scientific research are reproducibility and replicability of results, not all information is available from published documents. Therefore, the aim of this paper is to propose a guideline for a thorough and standardized occupant-behavior model documentation. For that purpose, the literature screening for the existing occupant behavior models in building control was conducted, and the occupant behavior modeling processes were studied to extract practices and gaps for each of the following phases: problem statement, data collection, and preprocessing, model development, model evaluation, and model implementation. The literature screening pointed out that the current state-of-the-art on model documentation shows little unification, which poses a particular burden for the model application and replication in field studies. In addition to the standardized model documentation, this work presented a model-evaluation schema that enabled benchmarking of different models in field settings as well as the recommendations on how OB models are integrated with the building system.
KW - Building control
KW - Guideline documentation
KW - Model Predictive control (MPC)
KW - Occupant behavior model
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U2 - 10.1016/j.buildenv.2022.109195
DO - 10.1016/j.buildenv.2022.109195
M3 - Review article
AN - SCOPUS:85131139105
SN - 0360-1323
VL - 219
JO - Building and Environment
JF - Building and Environment
M1 - 109195
ER -