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DOE OSTI · 2586677

A guideline to document occupant behavior models for advanced building controls

Abstract

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. Here, 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.

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BibTeXRIS

Dong, Bing, Markovic, Romana, Carlucci, Salvatore, Liu, Yapan, Wagner, Andreas, Liguori, Antonio, van Treeck, Christoph, Oleynikov, Dmitry, Azar, Elie, Fajilla, Gianmarco, Drgoňa, Ján, Kim, Joyce, Vellei, Marika, De Simone, Marilena, Shamsaiee, Masood, Bavaresco, Mateus, Favero, Matteo, Kjaergaard, Mikkel, Osman, Mohamed, Frahm, Moritz, Dabirian, Sanam, Yan, Da, Kang, Xuyuan. 2022-05-20. A guideline to document occupant behavior models for advanced building controls. https://doi.org/10.1016/j.buildenv.2022.109195

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