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Evaluates future meteorological years for building performance simulations, suggesting a robust methodology for engineering applications.
The generation and selection of future meteorological years (FMYs) for building simulation involves methodological challenges related to climate-model selection, scenario interpretation, spatial consistency and engineering applicability. This study presents a framework for generating, evaluating and selecting FMYs for building simulation and demonstrates its application across 5,028 European locations using engineering-oriented selection criteria. The work makes three principal contributions: (i) a scalable and transparent methodology for generating FMYs from RCM-based RCP and GCM-based SSP climate projections, (ii) a performance-driven framework for selecting climate model combinations suitable for engineering applications and (iii) a scenario-specific guidance scheme that directly supports simulating heating and cooling demand in buildings under climate change. Using the open-source Future Weather Generator (FWG), historical Typical Meteorological Years (TMYs) were morphed with monthly climate deltas derived from ensembles of CORDEX-CMIP5 and CMIP6 models. All datasets are openly accessible, providing a reproducible, climate-consistent bridge between climate science and building engineering practice.
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Thiis et al. (2026) studied this question.
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