Key research themes
1. How can advanced modeling techniques improve energy efficiency prediction and management in buildings?
This research theme focuses on leveraging physics-informed models and machine learning to enhance the accuracy, robustness, and applicability of energy consumption prediction in buildings. It addresses challenges related to real-time adaptability, sensor noise robustness, and generalization across diverse building types and climatic conditions. The theme also explores hybrid modeling frameworks combining physical laws with data-driven approaches to optimize building thermal dynamics and support control strategies for reduced energy use and emissions.
2. What are key policy, industry, and regulatory factors that hinder or facilitate energy-efficient building construction and renovation?
This theme examines the socio-political and institutional challenges affecting the adoption and implementation of energy efficiency measures in the building sector. It highlights how deficiencies in public policies, limited regulatory enforcement, and conservative industry practices impact innovation diffusion and energy-saving outcomes. The theme also explores the evolution of building codes, certification schemes, and renovation directives across different global regions that shape building energy efficiency trajectories.
3. How do building design, occupancy patterns, and life cycle considerations influence operational energy efficiency and occupant comfort?
This theme covers architectural, structural, and operational design factors impacting building energy consumption and indoor environmental quality. It addresses how occupancy profiles affect standard energy efficiency metrics, the role of building materials and form throughout the life cycle, and strategies such as passive daylighting and HVAC optimization to balance energy use with occupant health and comfort. The theme integrates interdisciplinary insights into sustainable building performance beyond simple energy consumption metrics.