Orus Energy provides a platform that enables energy consumers to participate in grid balancing by intelligently shifting flexible energy usage like heating and EV charging away from peak demand periods. This service allows users to monetize their consumption flexibility while supporting grid stability and the transition to fossil-free energy. Users are compensated for their participation without needing to make any upfront investments or altering their comfort levels.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
GIRCFounders
Product
Problem
Commercial and office buildings consume a significant portion of national electricity, leading to strain on the grid, especially during peak hours. Reliance on fossil fuels to meet peak demand increases carbon emissions and energy costs. Building managers lack accessible tools to optimize energy usage and participate in demand response programs.
Solution
Orus Energy provides an electrical flexibility platform that enables building owners and managers to reduce electricity consumption during peak demand and generate revenue by participating in demand response programs. The platform uses machine learning algorithms to predict building energy consumption and identify opportunities to shift flexible loads, such as HVAC, EV chargers and lighting, to off-peak hours. Orus Energy connects to existing building management systems (BMS), thermostats, and other control systems to automate demand response actions without impacting occupant comfort. The platform then values the building's flexibility on electricity markets, allowing owners to receive direct payments for their contribution to grid stability.
Target Audience
The primary target audience includes owners and managers of commercial buildings, office buildings, hotels, and public administrations seeking to reduce energy costs, generate new revenue streams, and improve their environmental footprint.
Features
- Estimation of flexibility potential using historical consumption data and machine learning algorithms
- Integration with existing building management systems (BMS), thermostats, EV chargers, and other smart devices
- Automated demand response scenario design and execution
- Real-time monitoring and control of building energy consumption
- Multi-site supervision and impact reporting
- Valuation of demand response on electricity markets