visenergia

VIS ENERGIA is focused on delivering the clients in the renewable energy industry value enabling them to increase their business efficiency while reducing costs.

ABOUT US

VIS ENERGIA was founded in the Polish Tri-City (Gdansk, Gdynia, Sopot), where it has its headquarters. The company’s activity is based on rich experience of its founders and co-workers, and their passion for rapidly growing business of renewable energy.

The renewable energy industry is a very dynamic one in terms of evolution and technical improvements of the system solutions. This is why VIS ENERGIA is focused to be at the forefront of the market in offering technical solutions matching the client’s needs, ensuring the highest level of security and the stability of their operations. The constant accumulation and deepening of our knowledge in the latest technologies, enables us to realize projects and orders with utmost attention. This strategy helps us to expand constantly our group of customers, help them achieve their business targets and, while gaining professional satisfaction, create long-term business relationships.

Business profile

Dynamic development of renewable energy in Poland and Europe and increased interest in the sector of IT solutions like CMMS, gave us the impetus to create advanced product that integrates processes for monitoring and management of renewable energy sources. Our product is designed to support the activities of our customers while increasing profitability of their investments.

The core of our business is the implementation of our own, highly advanced IT solutions in the field of monitoring and management of renewable energy sources, mostly wind and solar energy. The system is based on the client’s needs and feedback gathered during product description and design. Software development is based on the newest technologies and trends, including Big Data and cloud computing. In addition, our certified team of engineers provides after-sale and other specialized services. Individual approach to each client, as well as combination of the most appropriate technology to deliver the highest level of performance of our solutions, distinguishes us from the competition.

Aim and mission

Due to the dynamic development of wind power industry and ever-increasing expectations of our customers, we aim to follow the latest technologies and solutions. The mission of the company is to achieve a market position of a strategic partner in the design and implementation of integrated systems for monitoring and management of wind farms for its customers.

In conducting our business, the company maintains a high level of service quality through continuous development of our staff thanks to the cooperation with the world’s best suppliers. We provide various solutions of the highest quality so that our customers have a choice to tailor-make a product that fits best their needs.

Our aim is to become not only a reliable and trusted business partner for them, but above all, a strategic partner in their operations and daily work. Our strength is based on the high quality of service, a strong team and a high degree of adaptation to customer needs. Wishing to pursue our aim and mission VIS ENERGIA has adopted the following measures:

  • achieving a position of a leading provider of an advanced CMMS to manage renewable energy sources in Poland and Europe;
  • developing a position of a strategic partners for our customers.

eWIND SYSTEM

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.

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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:
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  • 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.

CHARACTERISTICS

  • 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.

BASIC FUNCTIONALITY

  • Administrative Module is used to define system users and their authorization to access each module and function.
  • Technical Module supports all the other modules, as all the elements of the global system are defined there. In this module users can:
    • Define a source – the most important function of the system ensuring the preparation of the program to retrieve data from and for wind turbines and PV panels (creating the power curve, defining the aerodynamic efficiency factors, thrust and roughness coefficients for single turbine);
    • Organize a farm – assign the turbines or panels to a particular farm (determine geographical location, number and type of turbines or panels);
    • Parameterize a source – define empirical coefficients of the overall efficiency of each turbine or panel (mechanical efficiency, electrical efficiency, overall losses, as well as aerodynamic efficiency) and planned stoppages (functionality related to the Service Module);
  • Short-term forecasts Module of electricity production. Energy suppliers are obliged under the contracts with the Distribution System Operator to prepare forecasts of energy production (different time-frame in various countries). In order to meet the requirements, the system perform a forecast of production on the basis of incoming weather forecasts obtained from weather portals. Key to this process is the wind speed, pressure and temperature. Values ​​of wind and other meteorological data are obtained from portals providing the forecasts from several prognostic stations located in the immediate vicinity of the wind farm and using the appropriate functions the system monitors and collect the data. The module:
    • Computes daily energy production with the horizon of 15 minutes up to one hour based on forecasts of wind speed for specified geographical location per each turbine;
    • Visualizes actual production based on the current meteorological values in comparison to the previously forecasted results and correlates them with the current value of electricity available at the terminals of an electric generator;
  • Service Module of the wind farm defines the condition of each object using the so-called „passport” and collects the history and statistics of inspections independently for each object. The module enables:
    • Service reports, the basic element of providing the information of the activities done at the turbine. It contains all the information on the complete operations and parts used during the inspection or repair of the turbine, as well as information about the service team and incurred costs. This functionality provides exhaustive data to carry various analyzes;
    • Collation of the aforementioned reports in the form of „Parent-Child” that is linked up to a given report. Collation contains a list of planned and unplanned maintenance services detailing actions, materials, costs, and service teams. It is another element enabling the carrying out of in-depth summaries and analyzes;
    • Listing of service teams along with the assigned contact persons and on-field service teams;
    • Management of in-house service teams;
    • Management of service teams (contractors);
    • Management of dictionaries, necessary to define the performed operations, materials and components in order to allow correct identification of records when conducting subsequent analyzes;
    • Forecasting failure of components, analysis of inventory;
    • The exchange of technical and commercial information (sale/purchase of the turbine components) between companies managing wind farms;
    • The Module allows also for the identification of objects with lower production potential – as potential threats based on the analysis of production data and any telemetry data (rotation speed, vibration, shifts, temperature);
    • The module consists of log records of occurring failures and their repairs, foreseen operations and failure messages during operation of the turbine. This module generates a report of events and e.g. weekly schedules of turbine stoppages per individual turbine broke down to e.g. 2 years. The schedule is constantly revised to be in line with the actual wind forecasts.

BENEFITS

  • Maximizing parameterization translates into minimizing the cost of customization;
  • Reduced workload by automating the forecasting of energy production;
  • Increased revenue from the wind farm due to the realization of accurate forecasts for day-ahead hourly market, taking into account both technical and environmental aspects;
  • Reduction of losses due to deviations from the predictions by optimizing the production costs of a wind farm including the optimization of planned outages and repair of machines;
  • Reduction of the costs of repairing failures occurring in wind farm by reducing the time of emergency repairs (forecasting the failures);
  • Benefits for managers in providing easy-to-use tool with wide functionality and analytical capabilities;
  • Access to all relevant internal and external information in an integrated environment;
  • Use of GIS technology in order to visualize maps of the area, the specific parameters and the telemetry to monitor and analyze the functioning of the machine, in order to ensure improved efficiency and profitability of constructing and operating wind turbines;
  • Ongoing analysis of the impact of the unit on the surrounding environment, thus meeting the requirements of reporting the municipality of any environmental pollution or hazards;

PRODUCT DEVELOPMENT

  • The system’s prediction mechanism will be extended to adaptive, self-learning models, with an extensive use of artificial neural networks. The system will aggregate parameters such as weather conditions, parameters of the turbines, electrical power put into the network either by a single power plant or the entire wind farm. After retrieving, such data will be used to update the initially adopted coefficients until the system selects the correction factors in such a way that achieved results will be able to give the results of forecasts as close as possible. With this approach, the system will even take into account the fatigue of turbine components in predicting energy production without knowing their actual wearing down. With new series of data, the system will adapt to new weather and technical conditions. The main problem will be the acquisition of quality weather data, which the more accurate the more system will be in line with actual production;
  • The eWIND system will also have the ability of bi-directional data exchange with the system of DSO operating in a particular area (connectivity module), enabling the transmission of forecasted data (long-term). This will allow for precise adjustment of the energy system to the needs of customers on the basis of production capacity of wind farms. It will also allow for the introduction of additional energy into the energy system at a predetermined level (while keeping the risks associated with the weather), which can significantly improve the efficiency of energy distribution system in a situation of increased demand for electricity;