EFFECT OF ADJACENT SHADING ON BUILDING ENVELOPE HEAT GAIN IN TROPICAL CLIMATE
DOI:
https://doi.org/10.20319/stra.2025.4155Keywords:
Interblock Shading, Solar Radiation, Thermal Performance, Overall Thermal Transfer ValueAbstract
In tropical regions, approximately 60% of building energy is consumed by cooling systems, with heat gain through the building envelope being a major contributor. The Overall Thermal Transfer Value (OTTV) is a metric used to quantify average heat gain in air-conditioned buildings. However, the standard OTTV calculation does not account for shading from adjacent buildings—an increasingly common feature in high-density urban areas. This paper presents an empirical study on the thermal performance of building envelopes considering adjacent shading in tropical climates. Dynamic simulations of annual heat gain were conducted for buildings with and without adjacent shading for comparative analysis. The results highlight the significant impact of adjacent structures on heat gain performance and offer supplementary data to improve the current OTTV calculation method, especially for multi-block developments.
References
Adrian, C. Z. M., Hien, W. N., Marcel, I., & Kardinal, J. S. (2013). Predicting the envelope performance of commercial office buildings in Singapore. Energy and buildings, 66, 66-76.
Bhanware, P. K., Jaboyedoff, P., Maithel, S., Lall, A., Chetia, S., Kapoor, V. P., Rana, S., Mohan, S., Diddi, S., Siddiqui, A.N., Singh, A. & Shukla, A. (2019). Development of RETV (Residential Envelope Transmittance Value) Formula for Cooling Dominated Climates of India for the Eco-Niwas Samhita 2018, 16th IBPSA Conference, 2-4 September, Rome, Italy.
BSEEP (2013). Building energy efficiency technical guideline for passive design. Building Sector Energy Efficiency Project (BSEEP), Malaysia.
Egwunatum, S., Joseph-Akwara, E., & Akaigwe, R. (2016). Optimizing energy consumption in building designs using building information model (BIM). Slovak Journal of Civil Engineering, 24(3), 19.
Elnabawi, M. H. (2020). Building information modeling-based building energy modeling: Investigation of interoperability and simulation results. Frontiers in Built Environment, 6, 573971.
Hosseini, S. M., Shirmohammadi, R., Kasaeian, A., & Pourfayaz, F. (2021). Dynamic thermal simulation based on building information modeling: A review. International Journal of Energy Research, 45(10), 14221-14244.
Jalaei, F., & Jrade, A. (2014). An automated BIM model to conceptually design, analyze, simulate, and assess sustainable building projects. Journal of Construction Engineering, 2014(4), 1-21.
Malaysian Standards: (MS) 1525:2019. Energy efficiency and use of renewable energy for non-residential buildings.
Rallapalli, H.S. (2010). A Comparison of EnergyPlus and eQUEST Whole Building Energy Simulation Results for a Medium Sized Office Building. Thesis. Arizona State University.
U.S. Department of Energy, Buildings Energy Data Book, 2012. Retrieved from, http://buildingsdatabook.eren.doe.gov/DataBooks.aspx. (Accessed 15 May 2019)
Yezioro, A., B. Dong, and F. Leite. 2008. “An Applied Artificial Intelligence Approach Towards Assessing Building Performance Simulation Tools.” Energy and Buildings 40 (4): 612–620.
Yuan, L., Ruan, Y., Yang, G., Feng, F., & Li, Z. (2016). Analysis of factors influencing the energy consumption of government office buildings in Qingdao. Energy Procedia, 104, 263-268.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright of Published Articles
Author(s) retain the article copyright and publishing rights without any restrictions.
All published work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
