Real-time operational optimization of a complex DHC plant

Performance of polygeneration systems connected to district heating and cooling networks are highly dependent on the operational strategy. The development of advanced control algorithms for real-time operations of CCHP systems must deal with several issues, such as uncertainties in energy demand and weather forecast, non-linear part-load performances, multiple time-varying loads. In this paper, an operational optimization method for a complex DHC plant is proposed. The method is based on the moving average of real-time measurements of energy load demands and ambient conditions, overcoming the need for weather forecasts and a model for the estimation of future load demands. The proposed algorithm is tested with real energy demand data from a DHC close to Barcelona. A complex polygeneration system is considered, including an internal combustion engine, a double-effect absorption chiller, an electric chiller, a boiler and a cooling tower. Part-load behaviour of the components and ambient condition effects are considered to provide a detailed modelling of the system. Results of the real-time optimal control are presented and compared to those of traditional operational strategies.