The energy accounting system is designed to integrate data on the production and consumption of energy resources from heterogeneous and territorially distributed information sources on the basis of a single information platform, automate the processing of information on energy consumption, provide the necessary information on various management levels to support workflow management processes, provide consistent data for functional applications designed to solve modeling problems and optimize and energy consumption, improving the efficiency of energy consumption analysis processes by using historical data, creating a hierarchical data structure, expanding the possibilities for visualizing information, integrating various automation systems and additional software products.
Basic user-defined functions of the system:
- automatic collection of real-time data on energy consumption from ASCAE, ASTUE, AIISKUE;
- automatic collection of information on technological parameters, state and degree of loading of equipment from the process control system
- manual input of power consumption information on objects not equipped with software and hardware
- long-term storage of data providing reliable technological information on the production and consumption of all types of energy resources in real time
- automatic processing and analysis of the values of power consumption parameters according to the algorithms and regulations approved by the enterprise realization of the methods for calculating the volume and mass flow, the amount of heat and the heat content (enthalpy and caloric content) of various types of energy resources on the basis of existing GOST
- control of the reliability of accounting units
- accounting of produced and consumed energy resources by types of resources and technological objects Formation of actual balances of energy resources
- generation of reporting on the actual and specific costs of energy resources for the specified period of time (month, decade, day, etc.) planning and forecasting of energy consumption based on statistical data.
Experience: Indasoft, Russia.