From laboratory to on-site operation: Reevaluation of empirically based electric water chiller models
electric water chiller, performance model, model validation, model prediction ability, variable water flow rates
Chiller model is a key factor to building energy simulation and chiller performance prediction. With spread of new types of electric water chillers that have higher performance and wider operating range, new challenges have been faced by building energy simulation tools and their chiller models. This work takes a new type of electric water chiller as a case study and reevaluates eight typical empirically based models for predicting the energy performance of electric water chiller to verify whether they are suitable for the new type of chiller, using both laboratory test data from chiller manufacturer and online monitoring data from on-site operation of a central cooling plant with chillers of the same type. The prediction ability of the chiller models (including model prediction accuracy and generation ability) in laboratory test and on-site operation situations are examined. The results show that the existing models can well describe the chiller performance in the laboratory test situation but perform poorly in the on-site operation situation. As the best two models in the laboratory dataset, the overall prediction errors of DOE-2 and GN model increase more than 250% and 75% respectively in the field dataset. The big discrepancy of model prediction accuracy in the two situations is mainly due to the differences of evaporator and condenser water flow rates between the laboratory and on-site operation datasets, which indicates the limitations of the empirical chiller models and implies further research in future in order to improve the suitability and reliability of chiller model.
Zhang, Bin; You, Shijun; Wang, Sheng; Ding, Xiaoxiao; Wang, Chuang; and Gao, Yan
"From laboratory to on-site operation: Reevaluation of empirically based electric water chiller models,"
Building Simulation: An International Journal: Vol. 15:
2, Article 14.
Available at: https://dc.tsinghuajournals.com/building-simulation/vol15/iss2/14