TY - JOUR
T1 - Sizing heating, ventilating, and air-conditioning systems under uncertainty in both load-demand and capacity-supply side from a life-cycle aspect
AU - Huang, Pei
AU - Huang, Gongsheng
AU - Augenbroe, Godfried
PY - 2017/2/17
Y1 - 2017/2/17
N2 - Uncertainty in HVAC system sizing exists as there is a lack of accurate information at the design stage to predict a building's peak load demand and not enough operational data to predict system operating cost and energy performance. Instead of dealing implicitly with the uncertainty through a choice of safety factor in the standardized sizing procedure, which tends to lead to excessive oversizing as design engineers are prone to minimizing professional risk, a sizing framework that is based on uncertainty analysis has been proposed, which addresses uncertainties directly in the sizing procedure and increases the transparency of sizing in terms of risk management. However, current studies focus on uncertainty on the load demand side, but neglect uncertainty on the cooling capacity supply. Therefore, the current article proposes a study on the uncertainty on the cooling supply side and shows its importance for correct HVAC system sizing. Based on this, a new sizing strategy is developed that will size HVAC systems from a life-cycle aspect through considering the aging effects and select the optimal size in terms of multiple performance indices and customers' preference. Case studies will be used to demonstrate the design procedure and compare the proposed sizing strategy with a conventional design procedure.
AB - Uncertainty in HVAC system sizing exists as there is a lack of accurate information at the design stage to predict a building's peak load demand and not enough operational data to predict system operating cost and energy performance. Instead of dealing implicitly with the uncertainty through a choice of safety factor in the standardized sizing procedure, which tends to lead to excessive oversizing as design engineers are prone to minimizing professional risk, a sizing framework that is based on uncertainty analysis has been proposed, which addresses uncertainties directly in the sizing procedure and increases the transparency of sizing in terms of risk management. However, current studies focus on uncertainty on the load demand side, but neglect uncertainty on the cooling capacity supply. Therefore, the current article proposes a study on the uncertainty on the cooling supply side and shows its importance for correct HVAC system sizing. Based on this, a new sizing strategy is developed that will size HVAC systems from a life-cycle aspect through considering the aging effects and select the optimal size in terms of multiple performance indices and customers' preference. Case studies will be used to demonstrate the design procedure and compare the proposed sizing strategy with a conventional design procedure.
UR - http://www.scopus.com/inward/record.url?scp=85010679717&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85010679717&origin=recordpage
U2 - 10.1080/23744731.2016.1260409
DO - 10.1080/23744731.2016.1260409
M3 - RGC 21 - Publication in refereed journal
SN - 2374-4731
VL - 23
SP - 367
EP - 381
JO - Science and Technology for the Built Environment
JF - Science and Technology for the Built Environment
IS - 2
ER -