TY - JOUR
T1 - Review of uncertainty-based design methods of central air-conditioning systems and future research trends
AU - HUANG, Pei
AU - WANG, Yu
AU - SUN, Yongjun
AU - HUANG, Gongsheng
PY - 2019/8
Y1 - 2019/8
N2 - Proper sizing of central air-conditioning (AC) systems is essential for high energy efficiency and desired levels of thermal comfort. However, due to the lack of accurate information at the design stage to predict the building peak cooling load and AC system performance, uncertainty exists in the sizing process. To directly deal with the uncertainty, uncertainty-based proper sizing has been developed and studied by many researchers in recent years. Unfortunately, there is neither a systematic review of the uncertainty problem nor a review of proper uncertainty-based sizing. Therefore, this study presents a comprehensive review of the uncertainty in the sizing of central AC systems and outlines the uncertainty-based sizing procedures, with the purpose of helping AC researchers and practitioners understand the sizing procedure and relevant techniques developed recently and, thus, promoting the uncertainty-based sizing strategy.
AB - Proper sizing of central air-conditioning (AC) systems is essential for high energy efficiency and desired levels of thermal comfort. However, due to the lack of accurate information at the design stage to predict the building peak cooling load and AC system performance, uncertainty exists in the sizing process. To directly deal with the uncertainty, uncertainty-based proper sizing has been developed and studied by many researchers in recent years. Unfortunately, there is neither a systematic review of the uncertainty problem nor a review of proper uncertainty-based sizing. Therefore, this study presents a comprehensive review of the uncertainty in the sizing of central AC systems and outlines the uncertainty-based sizing procedures, with the purpose of helping AC researchers and practitioners understand the sizing procedure and relevant techniques developed recently and, thus, promoting the uncertainty-based sizing strategy.
UR - http://www.scopus.com/inward/record.url?scp=85063465372&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85063465372&origin=recordpage
U2 - 10.1080/23744731.2019.1570783
DO - 10.1080/23744731.2019.1570783
M3 - RGC 21 - Publication in refereed journal
SN - 2374-4731
VL - 25
SP - 819
EP - 835
JO - Science and Technology for the Built Environment
JF - Science and Technology for the Built Environment
IS - 7
ER -