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ORIGINAL RESEARCH article

Front. Built Environ.

Sec. Indoor Environment

This article is part of the Research TopicOverall Environmental Quality And Energy Performance Of Educational Buildings: Strategies To Improve Efficiency, Comfort, Well-Being, and Liveability Indoor and Outdoor SpacesView all 4 articles

Climate-Adaptive Passive Design for Sustainable Libraries: Simulation and Machine Learning-Based Multi-Objective Optimisation of Comfort, Energy, and Environmental Performance

Provisionally accepted
  • 1Dokuz Eylül University, Alsancak, Türkiye
  • 2Bingol Universitesi, Bingöl, Türkiye

The final, formatted version of the article will be published soon.

Library reading halls are critical environments where long-term user comfort must be balanced with stringent energy and carbon reduction goals. Passive design parameters-such as aspect ratio, façade configuration, window-to-wall ratio (WWR), and orientation-play a key role in shaping these outcomes, yet comprehensive cross-climatic evaluations remain limited. This study evaluates nearly 13,000 simulation scenarios across nine Köppen climate zones, varying plan geometry, façade configuration, WWR (10-90%), and orientation. The methodological framework combines statistical effect analysis with explainable machine learning (XGBoost-SHAP) to identify dominant drivers, non-linear interactions, and critical thresholds. Multi-objective Pareto-based optimisation and robustness analysis are then employed to derive climate-responsive design strategies balancing thermal discomfort hours, total site energy use, and CO₂ emissions. Results show that climate and WWR dominate performance, with façade configuration secondary and orientation and plan ratio context-dependent. Optimal outcomes clustered around mid-range WWR values (30–40%), while very low and high ratios imposed performance penalties. Compact plans with single-sided façades generally favoured energy and CO₂ reduction, whereas elongated plans with double-sided façades improved comfort. Optimisation confirmed the absence of a universal optimum but identified mid-range archetypes (WWR 40–60%, single façades) that offer superior resilience against climatic uncertainty. The study provides actionable, climate-sensitive thresholds to guide early-stage design. For practice, it offers actionable rules for architects, while for policy, it supports climate-specific guidelines, such as enforceable upper WWR limits, mandatory shading in high-glazing scenarios, and the integration of optimisation methods into procurement processes. Beyond libraries, the framework demonstrates a transferable pipeline for climate-adaptive, low-carbon building design that aligns with international sustainability goals. While visual comfort is implicitly addressed through energy penalties for insufficient daylight, future research should extend this framework by integrating detailed glare and visual quality metrics to fully reconcile thermal resilience with user-centric lighting needs.

Keywords: Building simulation, Climate-adaptive design, Energy performance, Multi-objective optimisation, Passive Design, Thermal comfort, Window-to-wall ratio (WWR), XGBoost

Received: 08 Jan 2026; Accepted: 12 Feb 2026.

Copyright: © 2026 Izmir Tunahan and Özer Yaman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Gizem Izmir Tunahan

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