基于分布式群控技术的高层建筑集中供暖系统控制与优化研究建筑群体的室内舒

Distributed group control technology of high-rise buildings centralized heating system control and optimization of <br>building groups of indoor comfort temperature can not be guaranteed traditional centralized heating system control, and the workload of the circulating pump can not be valid under construction groups demand for heating Since the energy distribution technology used in construction are quite different. <br>Herein, the state space method based on the indoor temperature control mathematical model is established and verified analyzed considering the influence of adjacent room basis. Distributed model predictive control method is employed to group the building indoor temperature control and optimization, and circulating pump is subjected to heat exchange station group control distributed as needed to optimize the heat prediction. <br>Experimental results show that, in the same indoor and outdoor environment and actual valve opening degree of the indoor temperature can be established by controlling the indoor temperature mathematical model reflecting well; <br>room temperature, and can effectively adjust the indoor temperature setting value can be stably tracking distributed indoor temperature prediction model based on group control, its energy consumption compared to traditional thermostatic valve control to reduce 14.28%. Simultaneously circulating pump efficiency after optimization control group increased 16.74%, <br>[Image]: central heating system, distributed group control technology, indoor temperature control, circulating pump, model predictive control

Study on the control and optimization of central heating system in high-rise buildings based on distributed group control technology<br>The indoor comfort temperature of the building group can not be guaranteed by the traditional central heating system control way, and the workload of each circulating pump can not be effectively distributed according to the heating demand of the building group due to the large difference of energy-saving technology used in the building.<br>In this paper, a mathematical model of indoor temperature control based on state-space method is established and verified and analyzed on the basis of considering the influence of adjacent room temperature. The model predicts that the distributed group control method is used to control and optimize the indoor temperature of the building, and the circulating water pump of the heat exchange station is distributed group control optimized according to the predicted heat demand.<br>The experimental results show that the actual indoor temperature and valve opening can be well reflected in the same indoor and outdoor environment, and the mathematical model of indoor temperature control can be well reflected.<br>The indoor temperature can be effectively adjusted and the indoor temperature setting can be steadily tracked based on the distributed indoor temperature model to predict group control, which reduces the energy consumption of heat energy by 14.28% compared to the traditional temperature control valve control method. At the same time, the efficiency of circulating water pump group control was improved by 16.74 percent.<br>Key words: central heating system, distributed group control technology, indoor temperature control, circulating water pump, model prediction control

Research on control and optimization of central heating system of high-rise building based on distributed group control technology<br>The indoor comfort temperature of the building group can not be guaranteed by the traditional central heating system control mode, and the workload of each circulating water pump can not be effectively distributed according to the heating demand of the building group due to the large difference of energy-saving technology used in the building.<br>In this paper, based on the state space method, the mathematical model of indoor temperature control is established and verified on the basis of considering the influence of adjacent room temperature. The model prediction distributed group control method is used to control and optimize the indoor temperature of the building, and the circulating water pump of the heat exchange station is optimized by distributed group control according to the predicted heat demand.<br>The experimental results show that under the same indoor and outdoor environment, the actual indoor temperature and valve opening can be well reflected by the established mathematical model of indoor temperature control;<br>The indoor temperature can be effectively adjusted and the set value of indoor temperature can be stably tracked based on the distributed indoor temperature model to predict the group control. Compared with the traditional control mode of temperature control valve, its thermal energy consumption is reduced by 14.28%. At the same time, the efficiency of group control optimization of circulating water pump is increased by 16.74%,<br>[Key words]: central heating system, distributed group control technology, indoor temperature control, circulating water pump, model predictive control<br>