Univers Renewables, previously QOS Energy software

Univers offers advanced AI analytics software designed to enhance the performance and efficiency of solar and wind energy operations. This technology employs artificial intelligence, machine learning, and sophisticated statistical methods to provide actionable insights, targeting asset health risks and underperformance issues effectively. The Solar AI Analytics module maximizes energy production and minimizes losses through precise, data-driven corrective actions, offering detailed visibility into photovoltaic (PV) plant performance. For wind energy, the Wind AI Analytics detects and addresses turbine control issues and component subhealth using SCADA data, vibration analysis, and additional sensor input. The system is designed to optimize maintenance strategies, cut labor-intensive processes, and improve operational efficiency across energy portfolios.

Univers Bazefield is a prominent renewable energy management software designed to consolidate extensive data from various energy sources such as wind, photovoltaic (PV), and energy storage systems into a single, customizable web interface. The platform offers real-time operational intelligence by leveraging its powerful data engine and advanced analytical models. It assists operations and maintenance teams in efficiently monitoring and controlling their entire renewable energy portfolio, providing insights that enhance asset availability and reduce operation and maintenance time. Bazefield’s suite of tools includes real-time monitoring, performance analytics, and configurable displays that can adapt to evolving needs. The solution facilitates informed decision-making through seamless integration with third-party weather forecasting and ERP/CMMS systems, enhancing site health assessment and remote operations control.

EnOS™ Storage is an advanced platform that enhances safety and operational efficiency across multiple devices, sites, and portfolios, providing a comprehensive solution for modern energy management. It supports the real-time monitoring and control of renewable assets, integrating seamlessly with various vendors to ensure optimal performance. This software-defined, hardware-agnostic solution allows granular control at the device, site, and portfolio levels, leveraging data from BMS, BESS, EMS, and SCADA systems. Users benefit from enhanced asset utilization, increased ROI, and improved battery safety through real-time operational insights and fault alerts. Additionally, the platform enables energy trading and value stacking, maximizing revenues through intelligent analytics and optimization strategies such as price arbitrage and peak shaving.

Scalable, Reliable, and Secure Data Acquisition from any Renewable Asset. With more than 250 methods to connect and collect data from renewable assets, QOS Energy’s data monitoring platform Qantum^® is designed to centralize data in a single data-hub, regardless of the type of plant, system, database, or sensor. Collecting data from millions of sensors every day, Qantum^®is highly scalable and stores efficiently and securely times-series and event-based data from thousands of renewable facilities.

EnOS™ Ark is designed to synergize AI and IoT technologies to deliver real-time insights into carbon and energy dynamics across various organizational workflows. Leveraging a robust platform, it addresses the distinct challenges of different sectors including finance, real estate, food and beverages, and logistics by optimizing energy consumption and enhancing sustainability efforts. Users can achieve up to 40% energy savings and reduce CO2 emissions by 20%, along with a 10% productivity gain. This tool effectively integrates with legacy systems, like BMS, enabling multi-country deployments and facilitating ESG compliance. EnOS™ Ark stands out with its capability to automate reliable data collection on Scope 1, 2, and 3 emissions, providing a unified data hub for all asset management needs.