Operational optimization in a district heating system

摘要: Abstract We consider the problem of selection supply temperatures in a district heating (DH) network. The is formulated as mathematical model which incorporates consumers, network and production plant; objective to minimize operational costs. dynamics DH consumers distribution usually affect operation system heavily. This both due time delays network, are large compared with other parts system, heat storage loss surrounding ground. For planning optimization, it therefore vital have appropriate simulation models available. give discussion two elements describe principle so-called node method. method can be applied simulate flow temperature development given consequence consumers' loads from plant. present under various assumptions its constitution. one plant, i.e. geographical location. Three types units considered: boiler units, back pressure extraction units. function, minimized, consists sum contributions, for each period, unit, pump. In there fuel costs also electrical power consumption pumps. If CHP then also, period t, an income (i.e. negative cost) associated sale produced strategy solution establish interplay between standard optimization package. Computational experiences several real-world cases extensively discussed. It demonstrated that possible solve thereby obtain optimal temperatures. demonstrate minimization cost calls very active control case either depend on day or load level. explained by dynamic complex nature system. Our appears easy use flexible. is, instance, incorporate different principles include restrictions. As implemented, suited off-line analysis long computation time. However, potentials substantial reduction more careful implementation. way, could indeed on-line at regular intervals, e.g. every hour.