Thermo-hydraulic condition optimization of large-scale complex district heating network: A case study of Tianjin

District heating (DH) networks are indispensable infrastructure for space and domestic heating with high energy efficiency. As the structures of DH networks are gradually becoming complex, efficient and accurate simulation model for the operational optimization of the DH network is crucial. In this paper, an optimization method for the DH network operation is proposed. The method is based on the thermo-hydraulic coupled dynamic model, sequential quadratic programming (SQP) and particle swarm optimization (PSO), which is applied to a large-scale DH network in Tianjin, China. With the proposed method, 6.7%-11% energy consumption can be reduced, under the operation condition of 80%-100% design flow rate. The transmission and distribution cost can be reduced with an average of 6.2% at the outdoor temperature ranging from-5 to 5 degrees C.

Automated summary

This paper proposes an optimization method for the operation of a large-scale district heating network in Tianjin, China, based on a thermo-hydraulic coupled dynamic model, sequential quadratic programming, and particle swarm optimization. The method can reduce energy consumption by 6.7%-11% under the operation condition of 80%-100% design flow rate, and decrease transmission and distribution costs by an average of 6.2% at outdoor temperatures ranging from -5 to 5 degrees Celsius.