RESILIENT | Sen Miao

Description

Project Overview

The project aims to assess the impact of climate-resilient strategies on the Spanish building stock and to develop an innovative decision-making model for optimizing the allocation of funds in climate-resilient retrofitting, across both individual buildings and large portfolios.

I am currently working as an affiliated researcher in the project, co-directing a thesis on the topic of "AI-assisted climate-resilient retrofitting of buildings". I participated in the work: [1].

https://resilient.upc.edu/en

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References

2026

Energy Build.

A stock-level framework for climate resilience assessment of regional educational building stock

Miquel Casals, Juan José Medina-Musellas, Nicolás Carrasco-Astudillo, and 2 more authors

Energy and Buildings, Sep 2026

Educational building stock Climate resilience Climate change overheating resistivity Annual energy demand Representative concentration pathways

Abs DOI PDF

This study proposes and applies a stock-level assessment framework to evaluate the climate resilience of the educational building stock in Catalonia, Spain, under present, mid-term (2060), and long-term (2100) climate conditions across optimistic (RCP 2.6), neutral (RCP 4.5), and pessimistic (RCP 8.5) scenarios. The analysis reveals key findings with direct implications for climate adaptation policy. First, climate resilience exhibits strong heterogeneity across the regional educational building stock, driven by differences in construction period, envelope insulation, geometry, and climate zone. Second, only 38% of the stock, constructed under modern regulations, demonstrates sufficient resilience to future climate conditions, while the remaining 62% shows varying degrees of vulnerability. Third, although annual cooling demand is expected to double after 2060, total annual energy demand may remain stable or even slightly decline by 2100 due to offsetting reductions in heating demand, particularly under the stringent RCP 2.6 emission pathway. The novelty of our approach lies in the proposal of a comprehensive and systematic building resilience assessment framework integrating K-means++ clustering for representative building identification with recently proposed indicators specifically designed to assess building climate resilience. This assessment framework provides an effective and timely solution to support local policymakers in developing climate adaptation strategies and building retrofit decisions at the regional scale.