Development of an Information Model of a Heat Supply System at Various Stages of the Life Cycle

Abstract

Introduction. Data on elements of heat supply systems of the Russian Federation (heat sources, heating networks) are given as well as the main energy characteristics. The main problems in the industry are indicated. It is concluded that it is necessary to optimize the operation of heat supply systems in all its links and at all stages of the life cycle.Materials and Methods. For optimal control of thermal power systems, the authors consider it expedient to create a digital information model of each element of the system at each stage of the life cycle, including: - three-dimensional engineering digital terrain model; - three-dimensional engineering digital model of heating networks, taking into account adjacent communications and structures;- operational digital model of the heat supply system on the platform of the geoinformation software complex Zulu21. The technology of data exchange in IFC format between software complexes is given. The necessity of verification of the operational model using the data of field measurements on the physical model of the heat supply system is indicated.Results. The creation of a digital information 6D model of the heat supply system allows you to move to a higher level: intelligent dynamic control of a complex energy system (neurocontrol). The SCADA software package in online mode collects the necessary information (temperature, pressure, coolant flow) from sensors installed at characteristic points of the system. All information is transmitted to Zulu, a software package with built-in support for OPC technology to receive data from a SCADA system. The received data is fed into the ZuluGis software package, which includes the ZuluThermo module, with a loaded digital information model of the heat supply system. The actual thermal and hydraulic modes of the system are calculated in the module. Data on the optimal and actual thermal-hydraulic modes are transmitted to the neurofeedback unit for comparison and management decisionmaking. The decision is transmitted to the appropriate controller to initialize actions to change a parameter.Discussion and Conclusions. A technology for developing a digital information model for elements of a heat supply system at all stages of its life cycle is proposed. The creation of a digital information 6D model of the heat supply system allows you to move to a higher level: intelligent dynamic control of a complex energy system (neurocontrol). The use of intelligent control makes it possible to improve the quality of decisions made, significantly increase the energy efficiency of heat supply systems and the quality of services provided to the end user.