@inproceedings{798038dbe6db46758a71426a33f8b4c8,
title = "Poster abstract: Time-aware chiller sequencing control with data-driven chiller performance profiling",
abstract = "To fulfill the cooling demand in commercial buildings, the operation of air conditioning system with multiple chillers accounts for the major proportion of electricity consumption. However, the performances of operation strategies are varied under different status and configurations of chiller systems. Accordingly, decisions to optimize the chiller sequencing are becoming ever so complex that run-time effective and prompt control algorithms must play a key role. In this poster, a time-aware chiller sequencing control with data-driven strategy was proposed to maximize the energy saving while ensuring the physical chiller operation time. Evaluation shows that our approach achieves 12.91% improvement in total power costs of the tested three years.",
author = "Zimu Zheng and Chuang Hu and Dan Wang",
year = "2017",
month = nov,
day = "8",
doi = "10.1145/3137133.3141452",
language = "English",
series = "BuildSys 2017 - Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments",
publisher = "Association for Computing Machinery, Inc",
editor = "Rasit Eskicioglu",
booktitle = "BuildSys 2017 - Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments",
note = "4th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys 2017 ; Conference date: 08-11-2017 Through 09-11-2017",
}
