Goal: Innovative Solutions for Energy Flexibility

Our goal is to achieve affordable sustainability by focusing on three key areas: energy savings (while reducing CO2 emissions), maximizing energy flexibility (relieving pressure on the electricity grid), and improving comfort (meeting users' needs). This is particularly relevant for offices, educational institutions, and healthcare facilities equipped with heat pumps, thermal storage, and extensive distribution networks.

The application of advanced techniques such as Model-based Predictive Control (MPC) and digitalization offers significant opportunities to enhance the energy flexibility of buildings. These innovations help address grid congestion by leveraging energy storage, sustainable energy sources, and electric vehicles (EV2B). Importantly, our solutions are planned to integrate seamlessly with existing systems, eliminating the need for complete replacements. Our scalable and adaptable building management software development ensures broad applicability, while partial automation of control software minimizes manpower and costs, enabling rapid, efficient, and large-scale deployment.


Project Outcomes

BuildInFlexergy aims to help building owners and managers achieve their sustainability goals through a Learning Community approach, utilizing modular and scalable predictive control techniques. These techniques will be designed to be integrated as software plug-ins into a Building Management System (BMS). The project will run for 4 years, and over a 10-year period, we expect to achieve the following outcomes:

By adopting these innovative solutions, building owners and managers can achieve their sustainability objectives, contributing to a more sustainable and resilient energy future.

Energy Savings

Achieve over 20% energy savings and a 25% reduction in peak loads on the electricity grid.

Optimized Controls

Add-on modules for the BMS equipped with machine learning predictions and optimization based on Key Performance Indicators (KPIs). KPIs are developed based on the Smart Readiness Indicator. Clients can tailor operations by prioritizing factors such as cost, energy efficiency, occupant comfort, and energy flexibility.

Integrated Energy Management

An energy integration module with dashboards to monitor and manage all energy flows within the building.

Enhanced Comfort

Control and monitoring of end-user comfort within dynamic limits to provide additional energy flexibility based on usage.

Local Energy Utilization

Maximize the use of sustainable and stored energy locally to enhance the flexibility of the electricity grid.

Generative Design Tools

Tools for the generation, distribution, and delivery of energy.

Automated Software Generation

Partial automation of software integration and modular design for efficient implementation.


Core Team


Industry Advisors


Partner Representatives


University Researchers

Wei Luo

Postdoctoral Researcher WP1

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Tu Phan

Ph.D. Candidate WP5

LinkedIn page