BS2025 / Program / Linking thermal risk, energy performance, and building typology: a comparative study of Walloon residential buildings under climate change

Linking thermal risk, energy performance, and building typology: a comparative study of Walloon residential buildings under climate change

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The latest research on building performance in the face of climate change has largely focused on new constructions, particularly in the tertiary sector, energy-efficient buildings, buildings meeting minimum regulatory criteria, and renovated buildings (Baglivo et al., 2024; Fernandes et al., 2024; Rahif et al., 2022). Many articles also concentrate on simulating models of new or yet-to-be-constructed buildings to determine their performance in the context of climate change.

However, in some regions, such as Wallonia in Belgium, a significant portion of existing buildings is comprised of aging structures with energy performance far below the regulatory standards set by the government. Wallonia has already established a roadmap to change this paradigm and renovate its building stock through its long-term energy renovation strategy. This strategy commits the region to a thorough renovation of its buildings, aiming for an average A-label by 2050 for its entire residential stock, with a focus on the least performing housing units.

The objective of this paper is to demonstrate the impact of climate change on existing, energy-inefficient residential buildings in Wallonia. The study is conducted using numerical building models with the TRNSYS18 software for dynamic thermal simulation. Two types of buildings are analyzed: detached single-family house (4 free facades) and detached single-family house (2 facades).

This paper investigates the thermal and energy performance of pre-war Walloon residential buildings under projected climate conditions, comparing them with new constructions that comply with current regulations. To assess potential heat-related health risks, the study introduces the Heat Index as a complementary indicator to conventional metrics such as overheating degree hours and annual energy consu

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