@inproceedings{simbuild2024_2248,
	doi = {},
	url = {https://publications.ibpsa.org/conference/paper/?id=simbuild2024_2248},
	year = {2024},
	month = {May},
	publisher = {IBPSA-USA},
	author = {Min Gyung Yu and  Alex Vlachokostas and  Karthikeya Devaprasad and  Tim A. Yoder and  Stephanie Johnson and  Timothy I. Salsbury},
	title  = {Enhancing Chilled Water Plant Efficiency With Real-Time Optimization},
	booktitle = {Proceedings of SimBuild Conference 2024},
	volume  = {11},
	isbn = {},
	address  = {Denver, Colorado},
	series  = {IBPSA-USA Building Simulation Conference},
	pages = {241--248},
	abstract = {This paper addresses the problem of cooling tower control in water-cooled chiller systems. These types of systems use significant amounts of energy and improvements in the control improve their energy efficiency. A detailed Modelica simulation of a chilled water system serving a data center is used as a testbed to demonstrate the potential of a new type of real-time optimization (RTO) for maximizing energy efficiency. The paper also highlights the utility of coupling a pre-built system model with Python-based code as a way to streamline testing and development of new controls. The RTO algorithm is model-free and does not require traditional temperature and humidity sensors and is applied to controlling the cooling tower fans. Results show that the algorithm can save 15% energy compared to a baseline during summer periods in two different climates. },
	issn = {},
	Organisation = {IBPSA-USA},
	Editors = {}
}