%0 Conference Proceedings
%K Optimization
%K Chiller plant
%K Modelica Buildings Library
%K District cooling
%K Waterside economizer
%A Kathryn Hinkelman
%A Jing Wang
%A Wangda Zuo
%A Antoine Gautier
%A Michael Wetter
%A Nicholas Long
%B 14th International Modelica Conference
%C Linkoping, Sweden
%D 2021
%G eng
%R https://doi.org/10.31224/osf.io/rfc8p
%T A Case Study on Condenser Water Supply Temperature Optimization with a District Cooling Plant
%U https://engrxiv.org/index.php/engrxiv/preprint/view/1677
%8 05/2021
%X <p><span>District cooling (DC) continues to proliferate due to increasing global cooling demands and economies of scale benefits; however, most district-scale modeling has focused on heating, and to the best of our knowledge, researchers have yet to model cooling plants featuring waterside economizers in DC settings. With the Modelica Buildings library expanding its capabilities to district scale, this study is one of the first to demonstrate how the open-source models can be used for detailed energy and control analysis of a DC plant. For a real-world case study, we developed and calibrated high-fidelity models for a DC system central plant at a college campus in Colorado, USA, and we optimized the condenser water supply temperature (CWST) setpoint for a DC plant across multiple time horizons using the Optimization library in Dymola. Results indicate that annual CWST optimization saves 4.7% annual plant energy, with less than 1% of additional energy savings gained through daily optimization. This confirms previous studies' findings that high frequency CWST optimizations are not necessary for the studied system.</span></p>