| Issue |
E3S Web Conf.
Volume 716, 2026
The 12th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC 2026)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 8 | |
| Section | Building Technology and Performance | |
| DOI | https://doi.org/10.1051/e3sconf/202671602007 | |
| Published online | 09 June 2026 | |
Development of a High-Resolution Dynamic Emulator for a Chiller Plant and Its Application to Control Improvement
1 The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
2 Taikisha Ltd, Sumitomo Fudosan Shinjuku Grand Tower, 8-17-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo 160-6129, Japan
3 DAI-DAN CO., LTD, 1-9-25 Edobori, Nishi-ku, Osaka 550-8520, Japan
4 Mitsubishi Heavy Industries Ltd., Marunouchi, Chiyoda-ku, Tokyo 100-0005, Japan
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
With the rise of smart buildings enabling the scalable deployment of applications for environmental and energy system, a verification platform is essential to validate their effectiveness, advantages, and safety. However, conventional energy simulations, typically using 1 -hour intervals, fail to capture transient behaviors like hunting and overshoot, leaving risks of instability. To address this, this paper developed a high-fidelity dynamic "emulator"—a detailed simulation reproducing physical phenomena and control logic—using OpenModelica. Based on 1-second interval data from an actual building, the model incorporated chiller transients, specific control logic with deadbands, and piping thermal delays. The emulator successfully reproduced the system's dynamic behaviors and revealed actual sensor errors and control deficiencies. Furthermore, through a case study on control improvement to determine appropriate parameters for system stabilization, we demonstrated that optimizing staging thresholds could eliminate hunting and stabilize temperatures, thereby improving the operational stability of the chiller plant. In the future, this emulator serves as a critical testbed for developing and verifying smart building applications, enhancing both energy efficiency and system stability.
Key words: Smart Building / Dynamic Modeling / Emulator / Module Chiller / One-Second Interval Data / Fault Diagnosis / Control Optimization
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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