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Media: Innovation accelerator Eindhoven Engine enters new phase

As a society, we face numerous challenges. At Eindhoven Engine, a collaborative program between companies, knowledge institutions, social organizations and citizens in the Brainport region, work has been going on for years on innovations to address these problems. Now the program is breaking new ground.

Advancing energy flexibility in buildings

Transforming building energy management with smart control systems

The BuildInFlexergy project, funded by the Dutch Mission-Driven Research, Development, and Innovation (MOOI) program, is revolutionizing building energy flexibility. This is supported by the Dutch Ministry of Economic Affairs and Climate Policy and the Ministry of the Interior and Kingdom Relations, and managed by the Netherlands Enterprise Agency (RVO). This four-year industry leading initiative unites 10 industry partners (including Eindhoven Engine) and 2 top universities (TU Eindhoven and TU Delft).

A unified approach to innovation

Coordinated and managed by Kropman B.V., the consortium includes installation companies, energy consultants, platform developers, building owners and managers, technology providers, and other experts. The aim is to foster open knowledge exchange and drive innovation through strategic collaboration and widespread dissemination of results.

Kick-off meeting 17th June, 2025 | Kropman Nijmegen

Buildings at the heart of the energy transition

As the energy sector shifts towards a decentralized, digital, and low-carbon future, buildings—significant consumers of electricity and thermal energy—are key to providing demand-side flexibility. This flexibility allows buildings to adjust their energy use in response to external signals like electricity prices, carbon intensity, or grid constraints, without sacrificing occupant comfort or essential functions.

Kick-off meeting 17th June, 2025 | Kropman Nijmegen

The power of model predictive control

Model Predictive Control (MPC) is a cutting-edge tool for optimizing building energy performance. Unlike traditional control systems, MPC uses predictive models and real-time data to proactively manage a wide range of systems, including HVAC (Heating, Ventilation, and Air Conditioning), lighting, heat pumps, thermal storage, electric vehicles charging and other building loads It uses forecasts of occupancy, weather conditions and other relevant parameters to determine the best control actions over a future period, continuously updating the plan based on new data.

The aim of this project is to foster open knowledge exchange and drive innovation through strategic collaboration and widespread dissemination of results.

Real-time responsiveness with dynamic climate control

Dynamic climate control adjusts HVAC settings and ventilation rates based on changing indoor and outdoor conditions. This allows buildings to pre-cool or pre-heat spaces when renewable energy is plentiful or electricity prices are low, shifting loads without compromising comfort or overloading the grid.

Optimizing with key performance indicators

Key Performance Indicators (KPIs) are developed based on the Smart Readiness Indicator. KPIs guide decisions and balance objectives like energy cost, comfort, CO₂ emissions, and grid support. KPIs such as total energy consumption, peak load reduction, indoor comfort indices, and flexibility scores can be prioritized based on goals.

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Discover more about the BuildInFlexergy project