Ireneusz Białkowski – Prezes Zarządu
eWind is being developed as an innovative, integrated and multi-module computer system for managing single wind turbine as well as entire wind farms or PV farms. eWIND is developed as a CMMS (Computer Maintenance and Management System) with a perspective towards Big Data solution. The three-layered structure of the system (database layer, business logic layer and the layer of the graphical user interface) allows for a comfortable and secure remote access via any Internet browser. The system has also a simplified version for mobile devices. The eWIND system is designed to realize a wide range of functionality, ranging from management of works at power facilities, technical monitoring, ending with the analytics, forecasts and balancing of energy production. The system provides planning of production of energy using high quality prediction mechanisms taking into account weather conditions and technical efficiency of the turbines. It also allows for management of service works thanks to maintenance scheduling, planning of technical works, inventory management and forecasting of potential failures based on the long-term projections, minimizing any financial losses due to identification of the turbine’s non-productive periods. These features increase in considerable way the economic efficiency of a wind farm by optimizing costs. The system provides a simple and transparent way to manage multiple groups of wind turbines of the same or different manufacturers. The software is designed to be an intuitive and easy-to-use system that provides the ability to support a number of areas related to:
– short-term forecasting in the day-ahead hourly schedule (planning and verification of forecasts of production), monitoring and graphical presentation of parameters of given turbines (by collecting data from freely defined sources and the visualization of alerts at pre-set time intervals);
– assistance in service management (along with forecasting the supply of components and parts) and planning inspections of facilities (listing repairs and service teams) and forecasting probable turbine failure (based on historical data);
analysis of the provided metering, service, meteorological and other specific data;
– management of costs (actual costs of running a wind farm and forecasted costs of service works and inspections, considerably limiting the unplanned downtime of turbines.
– The system is, in part, designed modularly, which characterizes it as a very flexible tool that grows (scalability) together with the production and area capabilities – from single wind turbine and small power generation facilities to extensive wind farms;
– Single interface for all modules, enabling the use of product localization (using multiple language packs);
– Integrated reporting of collation and results of analyses, using internal or external mechanisms to enable the export /import data to/from the selected document formats (PDF, xls, doc, csv, txt, html);
– Possibility to present information coming from the telemetry system objects to the user’s technical service. In case of shared metering data – controlling the turbine using SCADA system may be enabled with the ability to visualize the basic parameters of the object. In order to provide this service, it is necessary to install sensors in the area of operation of wind turbines and transmission system in order to obtain the telemetry signals (can be stored in a database);
– Forecasting mechanism that downloads key meteorological data (wind speed, wind direction, pressure, temperature) for the area where wind turbines are located (identification based on geographic coordinates). In addition, the roughness of the terrain is determined for each turbine/farm. In forecasting power generation, the system includes forecasts from the service module (planned stoppages and maintenance, failures). The system also takes into account the condition of the turbine, having the existing technical monitoring data uploaded or introduced as an arbitrary percentage parameter specifying the technical efficiency of the turbine/group of turbines;
– Determination of the production capacity of a wind turbine according to its technical condition and weather forecast for the area. The result of this process is the estimation of the value of energy produced for each wind turbine;
– Scheduling service works including planning of the stoppages on the basis of long-term forecasts of meteorological conditions and forecasting delivery of parts or whole components based on the estimation of previous failures;
– Analysis of the provided metering, service, meteorological and other data, allowing for very precise reporting on the condition and functioning of the operating turbines, as well as allowing for the comparison of historical occurrences in these objects. The system also presents all sorts of statistical analyses supporting the functional scope.