Cogeneration transformation in the context of the transition to green power engineering

This work is devoted to the creation and scientific substantiation of the efficiency of the algorithm for searching for using organic fuel optimal modes in cogeneration plants under variable thermal and electrical loads at the cogeneration-renewables system joint operation stage. The algorithm has the following features that distinguish it as a new approach: – applicability for cogeneration units’ joint operation with any renewable energy sources units that generate only electric power; – ensuring cogeneration units highest possible efficiency for the production of electric power during the control period; – coordination with the operation of renewable energy sources units, leading to a decrease in storage capacities and a reduction in the cost of equipment for renewable energy sources units; – no direct link between the operating modes of the “cogeneration - renewable energy sources” system and calendar schedules; – ensuring the condition of the minimum possible amount of organic fuel for the generation of heat and electric power during the control period; – independence of the algorithm from the type of organic fuel and its free replacement during the control period according to market conditions. The algorithm is based on a model description of a fossil fuel consumption control system and a cogeneration plant model. At the same time, it is assumed that the characteristics of the region where a phased transition to green energy is being implemented, including climatic conditions, are known. A wind turbine is considered as a RES example. An example of the proposed algorithm calculated implementation is given, when the cogeneration unit is a heating turbine, transferred to a partial electrical load to provide consumers with electrical energy together with a wind turbine. With electrical energy given supply 0.52 10 9 MJ to consumers, the cogeneration absolute average integral electrical efficiency is 1.13% higher than the control value.