Fan, X, Chen, B, Li, X, Fu, Charlie ORCID: https://orcid.org/0000-0002-2019-5445 and Li, L (2020) Development of a simplified thermal performance prediction method based on free-running temperatures and building envelope characteristics. Journal of Building Engineering.

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Abstract

Various thermal prediction methods and tools for conceptual building design have been rapidly
developed in the past decades. However, most of these methods have some drawbacks to obsess their
applications, such as heavily relying on very detailed information of building envelope components, and
their thermal conductivity data with complicated computation models or formulas; and difficulties for
architects to understand and judge the outcomes of such predictions in a conceptual design. Therefore, this
research targets on developing a simplified method to predict the integrated thermal performance of a
building with simplified envelope parameters and hourly free-running temperatures in the conceptual
design stage. It categorizes the scattered design parameters into three combined thermal characteristic
indexes and applies a serials of corresponding quasi-steady calculation methods for building thermal
processes to predict hourly free-running temperatures. The interrelationships between these three combined
indexes and two overall thermal performance indicators are verified via a sensitivity analysis, and are
presented in two charts, which can easily be adopted in a conceptual building design. This method has been
validated in an experimental case study. It can help architects to quickly find the thermal design
performance of a designed building in the conceptual design stage.

Item Type:	Article
Identifier:	10.1016/j.jobe.2020.101898
Additional Information:	This study was supported by “the 13th Five-Year” National Science Technology Major Project of China (No. 2018YFD1100701), National Natural Science Foundation of China (No. 51978121).
Keywords:	Envelope thermal design, Free-running temperature, Conceptual design, Overall thermal performance prediction
Subjects:	Construction and engineering > Built environment
Related URLs:	Publisher
Depositing User:	Charlie Fu
Date Deposited:	20 Oct 2020 11:41
Last Modified:	04 Nov 2024 11:46
URI:	https://repository.uwl.ac.uk/id/eprint/7412

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