This startup offers an AI-powered energy optimization platform for energy-intensive industrial processes, automatically adjusting energy consumption based on fluctuating prices. The system reduces energy costs and carbon footprint without impacting productivity or product quality.
Funding
Funding not disclosed
Founders
Product
Problem
Energy-intensive industrial facilities face challenges in optimizing energy consumption due to fluctuating energy prices and the complexity of managing diverse energy-consuming processes. Inefficient energy usage leads to increased operational costs and a larger carbon footprint.
Solution
Envex Energy offers an AI-powered energy management system that enables industrial companies to optimize their energy consumption based on real-time energy prices and operational needs. The system integrates with existing infrastructure to create a digital twin of the energy system, using machine learning algorithms to predict energy demand and optimize energy usage across various assets, including electric boilers, heat pumps, cooling systems, and batteries. By automating the switching between different energy sources and adjusting consumption patterns, Envex Energy reduces energy costs, minimizes carbon emissions, and provides access to system services for grid balancing, all without compromising production efficiency or safety. The platform also provides comprehensive data logging and visualization tools for ESG reporting and performance monitoring.
Target Audience
Envex Energy primarily targets energy-intensive industrial companies with assets such as electric boilers, heat pumps, cooling systems, and large-scale batteries, particularly those seeking to reduce energy costs, improve sustainability, and participate in system services markets.
Features
- AI-driven energy optimization based on real-time market prices
- Compatibility with diverse energy assets, including electric boilers, cooling systems, heat pumps, batteries, and hybrid systems
- Digital twin modeling of the energy system for tailored optimization strategies
- Automated switching between energy sources (e.g., electric and gas) based on cost and availability
- Integration with system services for participation in grid balancing and demand response programs
- Data logging and visualization tools for performance monitoring and ESG reporting
- Secure cloud connectivity with state-of-the-art security systems
- Offline mode for continuous operation during network disruptions