Conference proceeding
Demand Flexibility Evaluation for Building Energy Systems with Active Thermal Storage Using Model Predictive Control
ASHRAE TRANSACTIONS 2022, VOL 128, PT 2, Vol.128(2), pp.650-658
01 Jan 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Model Predictive Control (MPC) has been demonstrated to be an efficient way to reduce building operating costs, especially for buildings with thermal storage systems, by changing the power demand profiles. Different parameter settings of MPC have also been shown to have significant influence on building power usage, which may therefore influence building demand flexibility. In this study, we estimate how MPC parameters such as the prediction horizon (PH) can influence building demand flexibility. A virtual high-fidelity building testbed was created in Modelica based on actual measurement data from a chiller plant with an ice storage tank system. Then the virtual system was randomly perturbed to generate training data for the MPC models. The MPC was formulated as a nonlinear programming problem and solved using a global optimization solver. We found that MPC can reduce operating costs by 15.8 % and reduce the peak power demand by 24.8 % compared with rule-based storage-priority control. The building demand flexibility initially increases as the PH increases and then reaches its plateau when the PH is longer than 20-hours. Evaluation of the building demand flexibility will provide insights into choosing the suitable MPC formulation for a grid-interactive efficient building.
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Details
- Title
- Demand Flexibility Evaluation for Building Energy Systems with Active Thermal Storage Using Model Predictive Control
- Creators
- Guowen Li - Texas A&M Univ, J Mike Walker 66 Dept Mech Engn, College Stn, TX 77843 USAYangyang Fu - Texas A&M Univ, J Mike Walker 66 Dept Mech Engn, College Stn, TX 77843 USAAmanda Pertzborn - NIST, Mech Syst & Controls Grp, Bldg Energy & Environm Div, Engn Lab, Gaithersburg, MD USAZheng O'Neill - Texas A&M Univ, J Mike Walker 66 Dept Mech Engn, College Stn, TX 77843 USAJin Wen - Drexel UniversityASHRAE
- Publication Details
- ASHRAE TRANSACTIONS 2022, VOL 128, PT 2, Vol.128(2), pp.650-658
- Series
- ASHRAE Transactions
- Publisher
- Amer Soc Heating, Refrigerating And Air-Conditioning Engs
- Number of pages
- 9
- Grant note
- DE-EE0009153; DE-EE0009150 / Building Technologies Office at the U.S. Department of Energy through the Emerging Technologies program
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Identifiers
- 991021960802204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Construction & Building Technology
- Engineering, Mechanical