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◆ Global Journal of Engineering and Technology Research2025-11-25· Building envelope

Computational Modelling of Climate-Adaptive Building Envelopes for Energy Efficiency in Tropical Regions

Independent Researcher, Lagos Nigeria, Daniel Obokhai Uduokhai, Baalah Matthew Patrick Garba, Cypress & Myrtles Real Estate Limited, Abuja, Nigeria, Adepeju Nafisat Sanusi, Independent Researcher, Maryland, U.S.A, Mike Ikemefuna Nwafor, Independent Researcher, Atlanta, Georgia

原始摘要(英文原文)· Original abstract
Climate-adaptive building envelopes play a crucial role in improving energy performance and thermal comfort in tropical regions characterized by high temperatures, humidity, and intense solar radiation. This investigates the potential of computational modelling techniques to optimize building envelope design for enhanced energy efficiency within residential and commercial structures in tropical climates. Using advanced simulation tools, including Building Information Modeling (BIM)–based workflows and energy modelling software such as EnergyPlus and DesignBuilder, this evaluates the interactions between envelope components, material properties, and environmental conditions. Parametric analysis was conducted on various adaptive strategies, such as dynamic shading systems, ventilated facades, reflective coating technologies, phase change material (PCM) integration, and natural ventilation enhancements. These systems were tested against key performance indicators including heat gain reduction, cooling load minimization, daylight optimization, indoor comfort metrics, and lifecycle energy consumption. The findings reveal that computationally optimized adaptive envelopes can significantly reduce reliance on mechanical air conditioning, resulting in energy savings of up to 30–50% depending on climate zone and design typology. Incorporating passive cooling principles with digital simulation enables context-specific performance improvements that respond to diurnal and seasonal climate variability. The research highlights the importance of material selection, façade geometry, and automated control systems calibrated through real-time environmental data. Further, the study emphasizes the need for integrated design approaches that align computational modelling with local building codes, construction practices, and affordability constraints in developing tropical cities. Computational modelling provides a powerful decision-support framework for designing high-performance adaptive envelopes that enhance sustainability and occupant well-being in tropical regions. Future research should strengthen cross-disciplinary collaboration to support widespread implementation in climate-vulnerable communities.
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