Optimization modeling of district heating networks and calculation by the Newton method

Analysis of the location for peak heating in CHP based combined district heating systems

“…The dimensioning of the heating network is highly coupled with hydraulic conditions [24,25] of different peak heating locations. The pipeline design for Alt.1 is not complicated, but the design work for the other two alternatives with the PB outside of CHP is quite different.…”

Heat load prediction in district heating systems with adaptive neuro-fuzzy method

“…The developed model, which manages detailed calculation of water flows, temperatures and heat losses in DH pipes, enables robust and accurate DH network state estimation. The district heating system for an building with many floors was analyzed in [23] and it was determined that under prescribed total mass flow rate, the mass flow rate of a floor increases with the increase in its heat load, while those of the other floors decrease and the temperature of supply water increases. A controlled case [24], for one real thermal plant in the district heating system for the purpose of predicting the heat supply was shown that the model-based controller successfully regulates the outlet temperature of the boiler, and the total amount of heat duty has been well reduced due to the constraints on inputs considered in the control algorithm.…”

Optimizing the District Heating Primary Network from the Perspective of Economic-Specific Pressure Loss

“…Hassine and Eicker [16] described a German DH network based on graph theory and used the Newton algorithm to solve the system of nonlinear equations. The same optimization method was adopted by Wang et al [17]. In addition, Zeng et al [18] used a genetic algorithm (GA) to compare the differences between a centralized conventional circulating pump and distributed variable-speed pumps in a district heating and cooling system.…”