Global Journal of Engineering and Technology Research (GJETR)
Computational Modelling of Climate-Adaptive Building Envelopes for Energy Efficiency in Tropical Regions
Uduokhai, Daniel Obokhai, Garba, Baalah Matthew Patrick, Sanusi, Adepeju Nafisat, Nwafor, Mike Ikemefuna
25 November 2025 · Vol. 1, Issue 3, pp. 129-141
DOI: 10.65150/EP-gjetr/V1E3/2025-05
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.
Read the full text on Global Journal of Engineering and Technology Research →The full peer-reviewed article and PDF are hosted on the journal's site (the version of record).
Cite this article
Uduokhai, Daniel Obokhai, Garba, Baalah Matthew Patrick, Sanusi, Adepeju Nafisat, Nwafor, & Mike Ikemefuna (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
@article{Uduokhai2025,
title = {Computational Modelling of Climate-Adaptive Building Envelopes for Energy Efficiency in Tropical Regions},
author = {Uduokhai and Daniel Obokhai and Garba and Baalah Matthew Patrick and Sanusi and Adepeju Nafisat and Nwafor and Mike Ikemefuna},
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}
}Related articles in GJETR
- A Hybrid Post-Quantum Cryptography and Machine Learning Framework for Intrusion Detection in VANETs
Bankole, Moses O. · Aug 2026
- A Hybrid LSTM–Grey Wolf Optimization Framework for Optimal Siting and Sizing of Distributed Generation in Radial Distribution Networks: Evidence from IEEE Benchmark Systems and A Nigerian 33 kV Feeder
Johnson, Owolade Stephen, Ajenikoko, Ganiyu Adebayo, Adesina, Olusegun Bola · Aug 2026
- A Conceptual Model for Trustworthy Proactive Device Personalization
Oyesiji, Serif Oyindamola, Nwakamma, Stanley, Ojukwu, John · Aug 2026
- A Systematic Review of Digital Energy Technologies and Data-Driven Systems for U.S. Energy Security and Efficiency
Oketie, Winnings Umosekhame, Aliu , Abass · Jul 2026
- Design, Fabrication and Evaluation of a Mini-Biogas Plant with Automatic Pressure Relief Control for Power Generation
Ayomide, Alase David, David O, Prof. Aborisade · Jul 2026
