Advanced co-simulation framework for assessing the interplay between occupant behaviors and demand flexibility in commercial buildings

Chen, Zhelun; Wen, Jin; Li, Yicheng; Lo, L. James; Grajewski, Gabriel; Payne, W. Vance; Bushby, Steven T.; Pertzborn, Amanda; O’Neill, Zheng; Yang, Zhiyao; Calfa, Caleb

doi:10.1080/23744731.2024.2394357

Advanced co-simulation framework for assessing the interplay between occupant behaviors and demand flexibility in commercial buildings

Journal Article · Mon Sep 02 00:00:00 EDT 2024 · Science and Technology for the Built Environment

DOI:https://doi.org/10.1080/23744731.2024.2394357· OSTI ID:2530704

^[1]; Wen, Jin ^[1]; Li, Yicheng ^[1]; Lo, L. James ^[1]; Grajewski, Gabriel ^[1]; Payne, W. Vance ^[2]; Bushby, Steven T. ^[2]; Pertzborn, Amanda ^[2]; ^[3]; Yang, Zhiyao ^[3]; ^[3]

Drexel University, Philadelphia, PA (United States)
National Institute of Standards and Technology, Gaithersburg, MD (United States)
Texas A&M University, College Station, TX (United States)

With buildings contributing significantly to electricity usage, enabling demand flexibility becomes a challenge, especially when accounting for occupant comfort. This study introduces an innovative co-simulation framework integrating multiple models: heating, ventilation, and air conditioning (HVAC) system, building zone load, indoor airflow, supervisory control, and occupant comfort and behavior. Uniquely, this framework allows for a comprehensive and dynamic analysis of building systems and occupant interactions in demand response events. Using this framework, we conducted a case study using a typical small office building model. Specifically, we focused on three areas: (1) the impact of indoor airflow modeling on energy use, occupant comfort, and behaviors forecasting, (2) the impact of occupant behaviors on demand flexibility, and (3) occupant comfort and behaviors under demand response events. Key performance indicators such as energy use, flexibility factor, durations of occupant discomfort and occupant behaviors were analyzed. Our findings indicated variations in energy usage and occupant comfort within demand flexibility events, marked by uncertainty boundaries, with variability in demand shedding up to 57.9%. Here, we concluded that this framework is suitable for analyzing typical commercial buildings and their HVAC systems in terms of demand flexibility potential under the impact of occupant behaviors.

View Accepted Manuscript (DOE)

Research Organization:: Drexel University, Philadelphia, PA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

Grant/Contract Number:: EE0009153

OSTI ID:: 2530704

Journal Information:: Science and Technology for the Built Environment, Journal Name: Science and Technology for the Built Environment Journal Issue: 9 Vol. 30; ISSN 2374-4731

Publisher:: Taylor & FrancisCopyright Statement

Country of Publication:: United States

Language:: English

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
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Advanced co-simulation framework for assessing the interplay between occupant behaviors and demand flexibility in commercial buildings

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