Asset optimization
Energy assets are often controlled using fixed rules or local signals. That limits their economic potential. Stelmo makes control dynamic. Our software combines forecasting, historical data, and real-time market signals to continuously determine how each asset can deliver the most value. All while respecting the limits of your existing infrastructure.
Fixed vs. flexible
Adapting assets to market value
Traditional control typically relies on fixed schedules or static rules. That makes installations predictable, but not very adaptable in a changing market. A battery that charges and discharges according to a fixed schedule does little more than the bare minimum. With Stelmo, that same battery responds to market conditions and can capitalize on opportunities as they arise.
Deploying the right assets at the right time
The value of an energy asset is determined not only by what it does, but by when it does it. Stelmo adjusts control to the moments when market conditions are most favorable. Depending on what’s happening in the market, that can mean shifting consumption, storage, or the use of available flexibility.
Turning flexibility into active value
In many installations, part of the available flexibility goes unused because it’s hard to identify or control. The Stelmo signal continuously looks for available capacity within the technical and operational limits of a site, then puts it to work when the market values it most. That turns unused flexibility into an active source of value.
University-grade forecasting
Forget guesswork and basic algorithms. Together with KU Leuven, we developed forecasting models that combine historical data, consumption profiles, weather data, and market signals to predict what comes next. The solution is supported by our sister company Amplifino, which processes and optimizes the underlying data streams.
Questions about asset optimization we hear a lot (and love to answer)
What’s the difference between Stelmo and traditional asset control?
Conventional control usually looks at a single parameter, such as maximizing self-consumption or shaving a peak. The Stelmo signal optimizes your entire bill: alongside the energy price, we factor taxes, levies, and contractual margins into every control decision. To do so, we tap into our direct market connections, which give us access to a wealth of live market and grid data. The result? Assets that switch at the moment total value is highest, not just the spot price.
When several flexibility options are available, how does Stelmo decide which one to use first?
We never deploy flexibility in isolation. All options are optimized together as a whole, with a single goal: the most value across your entire portfolio. For example, solar energy preferably goes to the battery, unless at that moment feeding it straight to the grid pays off more than storing it for later self-consumption. That trade-off also accounts for taxes, levies, and contractual margins. So the choice always lands on the combination that delivers the most financially.
Do you take my battery’s cycle cost into account?
Absolutely. Your battery’s cycle cost (the wear cost per charge and discharge cycle) is built into our calculation. The Stelmo signal only triggers a cycle when the expected return is high enough to cover that cost. This avoids unnecessary cycles and keeps every actual trade profitable.
How much of my battery is used for trading and how much for local optimisation?
That ratio isn’t fixed. At Stelmo, we treat local optimization and market trading as one and the same optimization problem. Local optimization (self-consumption, peak shaving, your on-site needs) is the baseline. When the market makes it financially worthwhile, we deviate from that baseline to capture extra returns. So the split continuously follows the highest value, rather than a fixed division.
How much does the Stelmo control system bring in?
That varies widely by installation, market profile, and configuration. To give you a concrete picture, we build a tailored simulation based on historical market data. It shows what your assets would have earned in the past under Stelmo control. Important: this is an indication based on historical data, not a guarantee for the future. The market moves constantly. Curious what control could mean for your portfolio? Contact us to request a tailored simulation.