Diagnosis and Robust Control of Complex Building Central Chilling Systems for Enhanced Energy Performance by Dian-Ce Gao

Author:Dian-Ce Gao
Language: eng
Format: epub, pdf
ISBN: 9789811506987
Publisher: Springer Singapore

(5.3)

(5.4)

(5.5)

(5.6)

Since β is a variable that is associated with the cooling load distribution of each AHU, an adaptive method is utilized to predict the required total water flow rate at the next time step. At current time k, the operating parameters of the sub-system can be measured or calculated online, including the total water flow rate of the sub-system (Mw,tot), the inlet water temperature for the AHUs (Tw,in), and the total cooling load of the sub-system (Qtot). The time-varying factor β at time k can be calculated using Eq. (5.6). It is assumed that the cooling load distribution of each AHU keeps unchanged during short period. Therefore, the factor β calculated at time k can be used as a constant for calculating the required total water flow rate in next time step k + 1, as shown in Fig. 5.2. For online applications, three parameters (a0, a1, a2) in this model need be identified in advance by regressing the measured total water flow rate of the sub-system, the measured inlet water temperature for each AHU, and the calculated cooling load of the sub-system.

Fig. 5.2Adaptive method for calculating the required water flow rate

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