Research

We develop innovative solutions to decarbonise existing buildings while enhancing thermal comfort and well-being. Our work combines physics-based, data-driven, and hybrid modelling approaches to identify effective retrofit solutions using a whole-life-cycle perspective that captures emissions from construction, operation, and end-of-life phases.

We apply advanced clustering and analytics to characterise typical building types, enabling scalable retrofit strategies for cities and national building stocks. This allows us to compare and optimise renovation pathways in terms of cost, resource use, and energy demand. Alongside technical measures, we integrate human-centric and sufficiency approaches to create retrofit strategies that are not only climate-effective and resource-efficient, but also supportive of healthier and more comfortable living environments.

Projects Publications

We model and analyse urban climates to anticipate how cities experience and respond to global climate change. Our research spans scales from the regional atmosphere to street-level microclimates, capturing the intricate processes that shape urban life. A central focus is the Urban Heat Island effect, which we study by merging data on the built environment, human activity and emissions (anthropogenic heat), and atmospheric processes.

One of our key challenges is integrating diverse data sources into accurate formats for simulation, a task we address by refining data processing, applying machine learning techniques, and optimising analysis to capture the reality of urban environments as closely as possible. These efforts allow a further exploration and testing of a range of adaptation and mitigation measures, tailored to specific urban contexts, while also assessing their potential, feasibility, and real impact on the environment and urban inhabitants.

Projects Publications

We develop innovative solutions to decarbonise existing buildings while enhancing thermal comfort and wellbeing. Our work combines physics-based, data-driven, and hybrid modelling approaches to identify effective retrofit solutions using a whole-life-cycle perspective that captures emissions from construction, operation, and end-of-life phases.

We apply advanced clustering and analytics to characterise typical building types, enabling scalable retrofit strategies for cities and national building stocks. This allows us to compare and optimise renovation pathways in terms of cost, resource use, and energy demand. Alongside technical measures, we integrate humancentric and sufficiency approaches to create retrofit strategies that are not only climate-effective and resource-efficient, but also supportive of healthier and more comfortable living environments.

Projects Publications

Retrofitting Existing Buildings

Urban Climate Modelling

Energy System Modelling