A fast computational approach for the determination of thermal properties of hollow bricks in energy-related calculations
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DOI: 10.1016/j.energy.2015.02.084
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- Antar, Mohamed A., 2010. "Thermal radiation role in conjugate heat transfer across a multiple-cavity building block," Energy, Elsevier, vol. 35(8), pages 3508-3516.
- Fan, Cheng & Xiao, Fu & Wang, Shengwei, 2014. "Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques," Applied Energy, Elsevier, vol. 127(C), pages 1-10.
- Li, Zhengwei & Han, Yanmin & Xu, Peng, 2014. "Methods for benchmarking building energy consumption against its past or intended performance: An overview," Applied Energy, Elsevier, vol. 124(C), pages 325-334.
- Omer, Abdeen Mustafa, 2008. "Energy, environment and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2265-2300, December.
- Jim, C.Y., 2014. "Air-conditioning energy consumption due to green roofs with different building thermal insulation," Applied Energy, Elsevier, vol. 128(C), pages 49-59.
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- Xin, Yuecheng & Robert, Dilan & Mohajerani, Abbas & Tran, Phuong & Pramanik, Biplob Kumar, 2023. "Energy efficiency of waste reformed fired clay bricks-from manufacturing to post application," Energy, Elsevier, vol. 282(C).
- Kočí, Václav & Kočí, Jan & Maděra, Jiří & Černý, Robert, 2016. "Contribution of waste products in single-layer ceramic building envelopes to overall energy savings," Energy, Elsevier, vol. 111(C), pages 947-955.
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Keywords
Hollow bricks; Thermal properties; Computational approach; Finite element method; Energy calculations;All these keywords.
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