Industry: Artificial Intelligence Region: United Kingdom Transaction price:US $1 million Transaction method: Equity investment
Introduction: the British company has developed a unique platform for the artificial intelligence (AI) drive, to optimize the energy capacity, reduce their carbon footprint, such as electric cars and electric vehicles (EV) charging, the solar energy, the battery storage, etc., and improve the energy utilization in the commercial space flexibility, so as to make the enterprise benefit from energy management.
Details: The system is a low cost installation that is self-configurable and self-maintainable. The platform automates energy price and carbon management and grid balance responses, reducing manual intervention and overcoming major barriers to competing systems. The technology can be easily integrated with existing building management systems (BMS) to reduce investment costs and improve return on investment (ROI), helping more real estate/building operators benefit from energy flexibility and set business goals related to net zero carbon and low carbon.
The equipment has the following functions and advantages:
1. Automated pricing and carbon arbitrage: Automated decisions driven by real-time local data collection and processing to ensure peak prices and avoid carbon emissions.
2. Automated participation in flexible markets: Automated scheduling and settlement of existing plants in demand-side response services, directly generating new revenue streams.
3. Energy Investment and Trading Dashboard: Automated dashboards display real-time energy trading and perform in-depth visualization and analysis to drive investment plans.
Technical advantages
1. Hardware: The intelligent connection platform is a powerful AI driven device that can be easily installed and integrated with existing systems. The platform collects and processes data to make real-time energy management decisions. It can optimize energy performance and generate revenue without disturbing employees or business processes. The platform integrates command signals and data feeds from all building management systems (BMS), including electricity meters, existing energy management systems, supervisory control and data acquisition (SCADA) systems, and IoT sensors. Hubs automatically receive updates remotely, so businesses can be the first to benefit from future market changes.
2. Machine Learning Software: The platform uses AI technology to make decisions that combine consumer energy needs and preferences, real-time local indicators, environmental conditions, carbon intensity, energy and flexible market triggers. AI observes system Settings and user interactions to learn about usage patterns and preferences of building users, enabling the system to automatically find ways to optimize energy market participation and transactions (through demand side response, etc.) and reduce power loads without disturbing building users or business operations.
In essence, the platform acts as a virtual energy manager by automatically managing the building's energy use and interacting with the local energy grid and energy market.
Cooperation intention
It seeks commercial and technical cooperation with companies in the energy industry as well as non-household energy users (such as factories, offices, schools, retailers and hotels).