In the quest to integrate renewable energy sources into buildings, researchers have been exploring advanced control strategies to enhance demand-side flexibility. A recent study published in *MethodsX* (translated from German as “MethodsX”) offers a promising solution, particularly for buildings equipped with Thermally Activated Building Structures (TABS) and glass facades. These structures, while offering significant flexibility potential, present a challenging thermal balance due to high thermal inertia and substantial solar gains.
Peter Klanatsky, lead author of the study and a researcher at the Hochschule Burgenland University of Applied Sciences in Austria, has developed a novel optimization algorithm tailored for such buildings. “The key here is to jointly control TABS and the shading system using a data-driven Model Predictive Control (DMPC) approach,” Klanatsky explains. This method leverages a grey-box model of thermal zones, striking a balance between the complexity of white-box models and the simplicity of black-box models.
The algorithm employs a Mixed-Integer Linear Programming (MILP) formulation, known for its reliability and efficiency. “By handling thermal comfort as constraints rather than weighting factors in the objective function, we ensure that the control strategy prioritizes occupant comfort without compromising energy efficiency,” Klanatsky adds.
The commercial implications of this research are substantial. Buildings account for a significant portion of global energy consumption, and the integration of renewable energy sources is a critical step towards sustainability. The DMPC algorithm developed by Klanatsky and his team could revolutionize the way buildings are managed, leading to more efficient energy use and reduced carbon emissions.
Moreover, the study’s focus on replicability is a significant advancement. Previous implementations of DMPC for combined control tasks relied on white-box models, which require extensive modeling efforts. Klanatsky’s approach, however, is designed to be easily implemented, making it a practical solution for the energy sector.
As the world continues to grapple with the challenges of climate change, innovations in building energy management are more important than ever. Klanatsky’s research offers a glimpse into the future of smart buildings, where advanced control strategies and renewable energy sources work in harmony to create sustainable, comfortable, and energy-efficient spaces.
The study, published in *MethodsX*, is a testament to the power of interdisciplinary research, combining expertise from the fields of building science, control engineering, and optimization. As the energy sector continues to evolve, such innovations will be crucial in shaping a sustainable future.