Impact

Turning Renewable Overcapacity Into a Revenue Decision

Alexander Alten
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CTO & co-founder
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June 29, 2026
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Impact

A European clean energy provider in Central Europe has deployed Scalytics Helios across its wind and solar portfolio to decide, in real time, where the next megawatt should go: to the grid, or into hydrogen production. The goal is direct. Stop losing clean power to curtailment and weak market windows, and turn overcapacity into an operating decision the operator controls.

Impact

  • A single live view of generation, weather, grid, market, and electrolysis signals, replacing once-a-day spreadsheet judgment with a continuous recommendation for the next window.
  • Surplus that would otherwise be curtailed or sold into a negative-price hour is routed into hydrogen production when the economics support it, instead of being switched off.
  • Every dispatch recommendation is explainable end to end, from the decision the operator accepted back to the grid signal that produced it.
  • The operator owns the system: on-premise at the edge, open standards, project repository and long-term usage rights from day one.

"With Scalytics we're able to operate and steer our renewables to maximum output. We sell into the markets, and we forecast when we'd produce too much and route that into H2 production, which is better than switching the turbines off."

The Challenge

Renewable power is valuable, but not every megawatt is valuable at the same moment. When wind and solar flood the grid, prices fall. In some windows the operator earns little for feeding in more power. In the worst windows it has to curtail, switching off clean generation it could have produced.

Windpark

This is now a structural pattern across Europe, not an edge case. Wind and solar curtailment is rising across major markets (IEA, Renewables 2025), and negative wholesale prices reached 8 to 9 percent of all hours in countries like Germany, the Netherlands, and Spain in the first half of 2025 (IEA, Electricity Mid-Year Update 2025). In 2025, seven EU countries recorded negative prices in 5 percent or more of all hours (Ember, European Electricity Review 2026).

For the operator, the question is simple and it changes all day. Where should the next megawatt go? Feed the grid when the price is good. Convert to hydrogen when overcapacity would destroy value. Hold when a better window is coming. Avoid curtailment where possible. Answering that well requires wind and solar forecasts, local weather, load history, site signals, smart meter data, grid signals, market prices, and live electrolysis capacity, brought together in time to act. Doing it by hand, once a day, in a spreadsheet, leaves money on the table in every window.

The Solution

Helios is the energy control plane for the portfolio. It is not a dashboard. Dashboards show what happened. Helios decides what should happen next.

Helios reads the live state of the renewable park, forecasts supply and demand, and decides where the next megawatt should go. In this deployment the flexible offtake is hydrogen electrolysis, which absorbs surplus when the grid will not pay for it, a role energy agencies recognize for electrolysis as a flexible consumer of surplus renewable generation (IRENA, Green Hydrogen Cost Reduction). The output is a recommendation the operator can act on: feed the grid now, route surplus into hydrogen, wait for a better window, or hold to avoid curtailment.

Underneath Helios sits Lascaris, the sovereign decision fabric. Lascaris is the platform. It connects the operator's existing systems, holds the live model of the estate, deploys the system on site, and runs it. Helios is the energy product that runs on top of Lascaris, the way an application runs on an operating system.

Every recommendation Helios makes is recorded in Lascaris at the object level, with its provenance written in the same transaction that produces it. An operator, auditor, or counterparty can walk any decision back to the data, the active forecast, the constraints that applied, and what the operator accepted, changed, or rejected, in one step. A recommendation that cannot be explained is hard to trust. A recommendation with a visible data path can be reviewed, improved, and challenged.

Lascaris fits the site as it is. It runs on open standards and connects to the operator's SCADA, meters, market feeds, and control systems without a rebuild. It deploys on-premise at the edge, with no dependency on a remote service the operator cannot see inside.

Recommendation First, Not Blind Control

Helios recommends using Machine Learning, advanced forecasting and digital twins. It does not switch assets directly, it emits signals to the assets. Live control sits behind authenticated gateways with operator approval, audit, and rollback.

The first job is to read the site, calculate the options, and recommend the best move. The operator stays in charge. Controlled automation comes later, and only where the adapter boundaries, authorization, audit, approvals, and rollback are clearly defined. That is the right order for critical infrastructure. A steering platform should prove its recommendations are useful and explainable before it is allowed to act.

The Operator Owns the System

The platform runs on-premise as an edge solution at the renewable park, on open-source and open-standard technologies. The operator receives access to the private project repository from day one, and the project-specific code comes with long-term usage rights.

The operator can inspect the implementation, read the Git history, and understand exactly how the system works. Once a system helps decide where power goes, it becomes part of the operating model, and the operator should own that layer rather than rent it from a control plane it cannot see inside. Scalytics supports the project through architecture reviews, implementation sprints, documentation, and handover, but the system is not built to keep the customer dependent and blind.

Why It Matters

Europe is adding renewable generation faster than the grid can absorb it. More wind and solar means more timing problems, because power arrives when the weather produces it, not always when the grid wants it (IEA, World Energy Investment 2025). The next wave of clean energy value comes from better steering: deciding when to sell, store, shift, convert, or curtail, and keeping that decision close to the asset and under the operator's control.

Overcapacity should not be thrown away. It should become a revenue decision.

About Scalytics

Scalytics architects mission-critical streaming, federated execution, and sovereign AI systems. We help defense, infrastructure, and regulated organizations turn real-time data streams into trusted decisions reliably and under production load.
Our founding team created Apache Wayang, the federated execution framework that lets computation run where the data lives and dramatically reduces unnecessary data movement.
We also built and maintain kafSCALE, a high-performance, Kafka-compatible streaming platform designed for Kubernetes and object storage. It delivers elastic scale without broker complexity or lock-in.

Our mission: Keep data in place. Bring compute to the data. Enable secure, sovereign, and production-ready AI operations.

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