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Global Journal of Engineering and Technology Research (GJETR) · Research article · Open access

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

Daniel Obokhai Uduokhai, Baalah Matthew Patrick Garba, Adepeju Nafisat Sanusi, Mike Ikemefuna Nwafor

25 November 2025 · Vol. 1, Issue 3, pp. 129-141

DOI: 10.65150/EP-gjetr/V1E3/2025-05

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What is this article about?

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.

Article at a glance

Journal
Global Journal of Engineering and Technology Research (GJETR)
Published
25 November 2025
Volume / issue / pages
Vol. 1, Issue 3, pp. 129-141
ISSN
3051-3782 (online) · 3051-3774 (print)
Licence
CC BY 4.0 — free to read and reuse with attribution
Peer review
Double-blind, at least two independent reviewers
Publisher
EP Journals Group

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.

Keywords: Climate-adaptive envelopes, Tropical regions, Energy efficiency, Computational modelling, Passive cooling, BIM, Building performance simulation, Sustainable architecture, Smart facades, Thermal comfort

Cite this article

APA
Daniel Obokhai Uduokhai, Baalah Matthew Patrick Garba, Adepeju Nafisat Sanusi, & Mike Ikemefuna Nwafor (2025). Computational Modelling of Climate-Adaptive Building Envelopes for Energy Efficiency in Tropical Regions. Global Journal of Engineering and Technology Research, 1(3), 129-141. https://doi.org/10.65150/EP-gjetr/V1E3/2025-05
BibTeX
@article{Daniel2025,
  title   = {Computational Modelling of Climate-Adaptive Building Envelopes for Energy Efficiency in Tropical Regions},
  author  = {Daniel Obokhai Uduokhai and Baalah Matthew Patrick Garba and Adepeju Nafisat Sanusi and Mike Ikemefuna Nwafor},
  journal = {Global Journal of Engineering and Technology Research},
  year    = {2025},
  volume  = {1},
  number  = {3},
  pages   = {129-141},
  doi     = {10.65150/EP-gjetr/V1E3/2025-05},
  url     = {https://doi.org/10.65150/EP-gjetr/V1E3/2025-05}
}

Questions about this article

Who wrote this article?

Daniel Obokhai Uduokhai, Baalah Matthew Patrick Garba, Adepeju Nafisat Sanusi, Mike Ikemefuna Nwafor.

Where and when was it published?

In Global Journal of Engineering and Technology Research, Volume 1, Issue 3, pages 129-141, published by EP Journals Group on 25 November 2025.

Is this article free to read?

Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.

What is the DOI of this article?

10.65150/EP-gjetr/V1E3/2025-05 (https://doi.org/10.65150/EP-gjetr/V1E3/2025-05).

How do I cite this article?

APA: Daniel Obokhai Uduokhai, Baalah Matthew Patrick Garba, Adepeju Nafisat Sanusi, & Mike Ikemefuna Nwafor (2025). Computational Modelling of Climate-Adaptive Building Envelopes for Energy Efficiency in Tropical Regions. Global Journal of Engineering and Technology Research, 1(3), 129-141. https://doi.org/10.65150/EP-gjetr/V1E3/2025-05

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