Data for - Conduction shape factors for thermal analysis of energy walls under varying boundary conditions
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https://archive.researchdata.leeds.ac.uk/1504/
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Energy walls are retaining walls embedded with heat exchanger pipes. Effective design requires fast, reliable thermal performance models. Analytical shape factors provide computationally efficient methods for predicting steady-state heat transfer rates; they relate temperature differences across surfaces to resulting heat flux. While shape factor equations have been successfully applied to energy piles and borehole heat exchangers, their systematic validation for energy walls under varying thermal boundary conditions remains unexplored. This study extends shape factor equations which were originally developed for pipeline applications and adapted via electrical analogies, to energy wall thermal analysis. The key innovation lies in systematic parametric validation across realistic geometric variations (pipe spacing, diameter, wall thickness, cover depth) and thermal conductivity ratios for practical design applications. Shape factor predictions are benchmarked against steady-state and transient numerical models. The findings demonstrate that existing shape factor equations can be successfully extended to model energy walls and similar planar energy geostructures, providing practitioners with a computationally efficient design tool validated across realistic parameter ranges. This data set presented here share the data sheets used to develop the connected paper.
提供机构:
University of Leeds
创建时间:
2025-12-12



