Virtual storage capability of residential buildings for sustainable smart city via model-based predictive control

Joe, Jaewan; Dong, Jin; Munk, Jeffrey; Kuruganti, Teja; Cui, Borui

doi:10.1016/j.scs.2020.102491

Virtual storage capability of residential buildings for sustainable smart city via model-based predictive control

Journal Article · Thu Oct 08 00:00:00 EDT 2020 · Sustainable Cities and Society

DOI:https://doi.org/10.1016/j.scs.2020.102491· OSTI ID:1706274

Joe, Jaewan ^[1]; ^[2]; ^[2]; ^[2]; ^[2]

Inha Univ., Incheon (South Korea)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

This paper evaluates the virtual storage capability of a residential air-conditioning (AC) system by utilizing the building mass as a thermal storage to enable sustainable cities through model-based predictive control (MPC). The control-oriented building model was developed with a grey-box model structure based on the experimental data to predict the indoor air temperature. Based on the model, the operation cost-saving potential of the MPC was investigated in a single house with different comfort levels, electricity prices, and prediction horizons. The cost-saving of the MPC was approximately 10.6 % compared to the conventional control. The MPC was expanded to a residential building cluster considering the peak demand charge. In an hourly shedding and load-up scenario, the performances of the MPC and the heuristic prior-based control (PBC) are promising. When shedding was enforced all day, the peak demand saving of the MPC was 36~38 %, whereas that of the PBC was 25.7 % compared to the baseline. In addition, the monthly electricity bill, including the operation and peak demand cost, was investigated with different demand charge rates and weather conditions. The total saving decreased with a low demand charge rate and hot conditions, and the operation cost saving was compromised with more aggressive demand shedding.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

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

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1706274

Alternate ID(s):: OSTI ID: 1780038

Journal Information:: Sustainable Cities and Society, Journal Name: Sustainable Cities and Society Journal Issue: 0 Vol. 64; ISSN 2210-6707

Publisher:: ElseiverCopyright Statement

Country of Publication:: United States

Language:: English

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