Systems of smart management of energy consumption

The paradigm shift from production adapted to consumption (fossil fuel energy sources) to consumption adapted to production (renewable energy sources) is difficult to implement without an optimized network of devices (IoT, sensors) that continuously matches consumption with energy production in the apartment, building or connected buildings associated in energy community.

For public and private clients, we design, supply, install and manage smart IoT networks for the purpose of measuring, analysing and managing energy. The best effects of exploitation of energy from renewable sources are achieved by coordinated management and control systems of energy production and consumption.

We will provide public and private clients with expert and professional services in the field of monitoring and management implementations:

  • Analysis of the existing energy infrastructure and possibilities for upgrading with measurement and automation systems;
  • Creating a feasibility study (technical and financial - budget estimates) for implementation;
    • Estimates of the total life costs of the system for monitoring and managing energy flows;
    • Estimates of savings and financial justification of investments in the system for monitoring and managing energy flows;
    • Analyses of the optimal procurement and financing model for the monitoring and management of energy flows;
    • Proposal of optimal technical solution;
  • Designing IoT networks for the purpose of monitoring and managing energy consumption;
  • Implementation of advanced systems for managing energy flows according to the needs of end users;
  • Introducing an incentive system to save energy for space users - user profiling with the help of machine learning technologies and the application of artificial intelligence;
  • Simulation of future consumption and construction of digital twins in cooperation with partner organizations;
  • Adaptation of the management platform in the context of special requirements (for example using NLP and spoken language for equipment management) such as hospitals, nursing homes, or similar special purpose institutions.