A Study On Hydraulic Balance Optimization Of District Heating System Based On Data-Mechanism Fused Model

To optimize the hydraulic balance of the district energy system, this paper introduces a modeling method based on data mechanism fusion. First, build a physical model of the heating network, combining Bernoulli and basic equations of continuity, basic knowledge of graph theory and the topological structure of the network to calculate the hydraulic condition. And calculate the flow distribution of each heating network branch according to the user's heat demand. Then, the neural network regression model of the valve characteristic curve is established, and the model is trained with the operating data. Finally, use Viheating software to simulate a thermal power station to verify the hydraulic balance optimization. The results showed that the energy consumption of the thermal power station was reduced by about 17.61 %.