Dynamic energy simulation of building renovation strategies PhD Aurora Bertini
Dynamic energy simulation of building renovation strategies
In 2024, global average temperatures exceeded the critical threshold of +1.5°C compared to pre-industrial levels, making it the hottest year on record. Despite a reduction in energy intensity since 2015, building emissions have continued to rise by an average of 0.7% per year. In response, governments must strengthen their commitments to achieving near-zero emissions in the building sector as a part of a broader strategy for climate neutrality by 2050. The Renovation Wave strategy intends to accelerate the building renovation pace across Europe. This strategy focuses on enhancing heating, cooling and building envelope performance and promotes a life cycle approach and a principle of circularity within the construction sector. However, current efforts primarily target the reduction of heating and cooling energy use, often overlooking the whole-life environmental performance of buildings. This approach can lead to higher lifecycle greenhouse gas (GHG) emissions and heightened environmental impacts associated with renovations, underscoring the necessity for a life-cycle approach.
In this context, the present research aims to develop a parametric and dynamic life cycle assessment model for residential building renovation. This model will integrate operational and embodied GHG emissions to rank renovation strategies based on their energy and environmental performance. Renovation scenarios will be characterized and parameterized considering climatic conditions, building geometry, materials and services, and national electricity mixes. An automated optimization approach will evaluate renovation alternatives based on cost, thermal comfort, and whole-life environmental impact. The research outcomes aim to guide researchers and policymakers in pursuing carbon neutrality and climate-proof renovation solutions without compromising economic viability or indoor comfort; to provide design directives for municipalities, city planners, and regulatory bodies; to supply designers with tools and software to support multi-criteria, informed early decision-making that advocates for low-carbon renovation strategies.
PhD Candidate : Aurora Bertini
Supervisor : Prof. Shady Attia
Project funded by the National Fund for Scientific Research (FNRS)
