TY - JOUR
T1 - Chiller sequencing control with enhanced robustness for energy efficient operation
AU - Sun, Yongjun
AU - Wang, Shengwei
AU - Huang, Gongsheng
PY - 2009/11
Y1 - 2009/11
N2 - This paper presents a strategy for improving the reliability and the energy efficiency of chiller sequencing control based on the total cooling load measurement of centralized multiple centrifugal chiller plants. The improvement is achieved as follows. Firstly, a fused measurement of building cooling load is used to replace the direct/indirect measurement. Secondly, the maximum cooling capacity of individual chillers is computed online using a simplified centrifugal chiller model. Thirdly, the online computed maximum cooling capacity is calibrated according to the quality of the fused measurement in order to deal with the possible misbehaviours in measurement instruments. A simplified model for computing the maximum cooling capacity is developed and validated using field data. The performance of the proposed chiller sequencing control strategy is tested and compared with a conventional chiller sequencing control algorithm. Test results are presented showing that the proposed strategy can effectively improve the reliability of chiller sequencing control and reduce the energy consumption of chiller plants. © 2009 Elsevier B.V. All rights reserved.
AB - This paper presents a strategy for improving the reliability and the energy efficiency of chiller sequencing control based on the total cooling load measurement of centralized multiple centrifugal chiller plants. The improvement is achieved as follows. Firstly, a fused measurement of building cooling load is used to replace the direct/indirect measurement. Secondly, the maximum cooling capacity of individual chillers is computed online using a simplified centrifugal chiller model. Thirdly, the online computed maximum cooling capacity is calibrated according to the quality of the fused measurement in order to deal with the possible misbehaviours in measurement instruments. A simplified model for computing the maximum cooling capacity is developed and validated using field data. The performance of the proposed chiller sequencing control strategy is tested and compared with a conventional chiller sequencing control algorithm. Test results are presented showing that the proposed strategy can effectively improve the reliability of chiller sequencing control and reduce the energy consumption of chiller plants. © 2009 Elsevier B.V. All rights reserved.
KW - Chiller sequencing control
KW - Energy efficiency
KW - Maximum cooling capacity
KW - Reliability
UR - http://www.scopus.com/inward/record.url?scp=69249241730&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-69249241730&origin=recordpage
U2 - 10.1016/j.enbuild.2009.07.023
DO - 10.1016/j.enbuild.2009.07.023
M3 - RGC 21 - Publication in refereed journal
SN - 0378-7788
VL - 41
SP - 1246
EP - 1255
JO - Energy and Buildings
JF - Energy and Buildings
IS - 11
ER -