M. Vellei, Elie Azar, Karol Bandurski, C. Berger, S. Carlucci, Bing Dong, Matteo Favero, A. Mahdavi, M. Schweiker
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Documenting occupant models for building performance simulation: a state-of-the-art
The number of occupancy and occupant behaviour models developed for building performance simulation (BPS) has steadily increased for the past four decades. However, their use is still limited in practice. This is partly due to the difficulty in understanding their utility and to the challenges related to their implementation into BPS. Both problems can be attributed to the lack of a framework for their description and communication. In this paper, we fill this gap by introducing a framework to document occupant models, that represents the state-of-the-art of available information on the topic. The framework consists of four blocks (description, development, evaluation, and implementation) and can also be regarded as a guideline to help researchers communicate their models transparently. Based on a systematic review, we verify to which degree existing academic papers on occupant models meet the framework, thus providing a self-critical assessment of the state-of-the-art of occupant models’ documentation.
期刊介绍:
The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit. The journal also offers a forum for original review papers and researched case studies
We welcome building performance simulation contributions that explore the following topics related to buildings and communities:
-Theoretical aspects related to modelling and simulating the physical processes (thermal, air flow, moisture, lighting, acoustics).
-Theoretical aspects related to modelling and simulating conventional and innovative energy conversion, storage, distribution, and control systems.
-Theoretical aspects related to occupants, weather data, and other boundary conditions.
-Methods and algorithms for optimizing the performance of buildings and communities and the systems which service them, including interaction with the electrical grid.
-Uncertainty, sensitivity analysis, and calibration.
-Methods and algorithms for validating models and for verifying solution methods and tools.
-Development and validation of controls-oriented models that are appropriate for model predictive control and/or automated fault detection and diagnostics.
-Techniques for educating and training tool users.
-Software development techniques and interoperability issues with direct applicability to building performance simulation.
-Case studies involving the application of building performance simulation for any stage of the design, construction, commissioning, operation, or management of buildings and the systems which service them are welcomed if they include validation or aspects that make a novel contribution to the knowledge base.