Celsio supplies industrial process heat using electric power‑to‑heat (P2H) systems that can switch between electricity and gas based on price signals. The company trades electricity on day‑ahead, intraday and ancillary markets, leveraging AI to forecast optimal revenue opportunities. Automated control signals integrate market trades with the P2H plant, enabling flexible, low‑carbon heat for energy‑intensive manufacturers.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial companies face increasing pressure from rising gas prices, CO2 emission costs, and network charges, while a majority have set clear goals to reduce their CO2 emissions. Alternative energy sources like hydrogen and biogas are limited, and electricity from traditional providers is significantly more expensive than natural gas.
Solution
Celsio offers an AI-driven platform that optimizes the control of heat generation by trading its flexibility on volatile electricity and balancing power markets, providing a cost-effective and sustainable heat supply. The platform leverages an AI-based algorithm to capitalize on the volatility of electricity prices, particularly during times when renewable energy sources are abundant, by controlling heat generation and trading accordingly on electricity markets. This approach enables industrial companies to reduce operating costs and minimize emissions associated with process heat production, while ensuring the stability and reliability of the heat process. Celsio integrates its solutions into existing systems or supports customers in planning new, sustainable heat systems, accommodating a range of heat systems from partially to fully electrified plants.
Target Audience
Celsio primarily targets industrial companies in sectors such as paper, chemical, food, and metal, who are seeking to reduce operating costs, minimize emissions, and secure a future-proof heat supply.
Features
- AI-based algorithm optimizes heat generation control based on volatile electricity and balancing power markets.
- Cross-market optimization combines long-term market price security with the volatility of spot markets and the revenue potential of balancing power markets.
- Considers heat demand, technical requirements, grid connection power, and requirements for reduced grid fees in its optimization.
- Integrates with a variety of heat systems, including fossil fuel boilers, electric boilers, heat pumps, combined heat and power plants, and thermal/electrical storage.
- Provides access to power purchase agreements (PPAs), futures, day-ahead, intraday, and balancing power markets.
- Offers simulation studies to quantify expected operating costs and support investment decisions in electrified systems.
- Manages all trading activities on electricity and balancing power markets.