Evaluating the Performance of Chiller Plant Efficiency Using Random Forest Model: A High-Rise Building Case Study

Behzad Salimian Rizi, Mohammad Heidarinejad, Gregory Pavlak, Vincent Cushing, William Hederman

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Assessing electricity consumption of chilled-water cooling plants is essential for near-optimal operation and carbon emission reduction. The goal of this study is to develop an efficient chiller sequencing control strategy for different building operating conditions. To that end, this study aims to develop three Random Forest (RF) chiller models for predicting chiller power consumption and two more efficient chiller sequencing control strategies for a 1.3 million ft2 high-rise commercial office building located in New York City. Chiller cooling load, chiller power consumption, and ambient wet bulb temperature were logged at 15-min intervals in May-September 2019, and used to train RF models for analyzing the two more efficient chiller sequencing strategies. The average value of mean absolute percentage error (MAPE) and root mean squared error (RMSE) for all three RF chiller models are 5.3% and 30 kW, respectively, for the validation dataset, which confirms a good agreement between measured and predicted values. Results of this study provide additional insights on how to accurately predict the total chiller power consumption of cooling plants under different chiller sequencing control strategies.

Original languageEnglish (US)
Title of host publication2022 Building Performance Analysis Conference and SimBuild, IBPSA 2022
PublisherAmerican Society of Heating Refrigerating and Air-Conditioning Engineers
Number of pages9
ISBN (Electronic)9781955516211
StatePublished - 2022
Event2022 Building Performance Analysis Conference and SimBuild, IBPSA 2022 - Chicago, United States
Duration: Sep 14 2022Sep 16 2022

Publication series

NameASHRAE and IBPSA-USA Building Simulation Conference
ISSN (Electronic)2574-6308


Conference2022 Building Performance Analysis Conference and SimBuild, IBPSA 2022
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Architecture
  • Modeling and Simulation

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