Study and application of hydraulic balance control based L-value in heating networks
Hydraulic disorder is the main reason of the high energy consumption of the heating system,but the exist-ing algorithms such as proportional regulation,compensation regulation and backwater temperature only stay in the load control of local heat users,and can not fully reflect the collaborative control requirement of secondary network balance.In this paper,the theory and algorithm of L-value balance control is proposed firstly,and the L-value is de-fined as the control variable combining the actual process parameters such as the supply and back water temperature of the radiator.The L-value balance control algorithm is introduced from the characteristics of the L-value and the pa-rameter optimization of L-value,and the secondary network balance based on the L-value balance control algorithm is expounded.The case application analysis is carried out in combination with the project background,balance effect and energy-saving effect.The results show that the L-value balance control theory and algorithm can be used for the collaborative control of the hydraulic balance of the secondary network,the heat user measurement and control termi-nal is embedded to realize the reasonable dispatching and distribution of the hydraulic and thermal power at the end of the secondary network,the coordination of the heat demand and heat load can be realized.The L-value balance con-trol algorithm of the secondary network is simple and effective,and the required process parameters are few and easy to obtain.The algorithm can be directly embedded in the thermal user control equipment,and has high autonomy,stability,reliability and universal applicability.Combined with the soft measurement technology of room temperature,the L-value balance control algorithm can realize the accurate control of room temperature,meet the automatic control required for secondary network balance,and provide guidance for on-site commissioning and control.
heating networkL-valuebalance control algorithmhydraulic balancesecondary networkheat loadcollaborative controlenergy-saving effect