1. ABOUT THE DATASET -------------------- Title: Data for - Conduction shape factors for thermal analysis of energy walls under varying boundary conditions Creator(s): Aakash Gupta [1], Fleur Loveridge [1], Ida Shafagh [1], Simon Rees [1] Organisation(s): 1. University of Leeds Rights-holder(s): Aakash Gupta, Fleur Loveridge, Ida Shafagh, Simon Rees, Copyright 2025 University of Leeds Publication Year: 2025 Description: Reducing ground-source heat pump system costs accelerates heating decarbonization. Basement diaphragm walls can be adapted into energy walls by embedding heat exchanger pipes connected to heat pump systems. Fast, reliable thermal performance prediction models are essential for effective design. Analytical shape factors provide computationally efficient steady-state heat transfer estimation through mathematical expressions relating temperature differences to heat flux. This study connected to this data set examines the applicability of analytical shape factor equations. Since energy walls encounter varying boundary conditions (air-exposed versus fully embedded), both scenarios are evaluated. Analytical shape factor performance is benchmarked against steady-state and transient numerical models. The data here contribute to the results of the paper which demonstrate that existing shape factor equations can be successfully extended to model energy walls and similar energy geostructures exhibiting planar thermal behavior, offering a practical methodology for thermal design optimization Cite as: Gupta, Loveridge, Shafagh, Rees (2025) Data for - Conduction shape factors for thermal analysis of energy walls under varying boundary conditions. University of Leeds [Dataset] https://doi.org/10.5518/1782 Related publication: Gupta, Loveridge, Shafagh, Rees (2025) Conduction shape factors for thermal analysis of energy walls under varying boundary conditions, Thermal Science and Engineering Progress (Accepted; Subject to revisions) Contact: a.gupta5@leeds.ac.uk 2. TERMS OF USE --------------- Copyright 2025, University of Leeds, Aakash Gupta, Fleur Loveridge, Ida Shafagh and Simon Rees. This dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. 3. PROJECT AND FUNDING INFORMATION ---------------------------------- Title: Integrated Infrastructure for Sustainable Thermal Energy Provision (IN-STEP) Dates: Jun 18 - Dec 22 Funding organisation: EPSRC Grant no.: EP/S001417/1 4. CONTENTS ----------- File listing 1. "01_DataSheet_ShapeFactors_GE.xlsx" - This is the first of the three files that were used for the development of the journal article. This file contains all numerical results (both steady state and transient state analysis) and shape factor calculations connected to all models of exposed (GE) energy walls. The data here are connected to Figures 6, and 8. COMSOL Multiphysics was used to generate numerical data in the sheets. All details are included in the sheets. 2. "02_DataSheet_ShapeFactors_GG.xlsx" - This is the second of the three files that were used for the development of the journal article. This file contains all numerical results (transient analysis) and shape factor calculations connected to all models of fully buried (GG) energy walls. The data here are connected to Figures 7, 9, and 10. COMSOL Multiphysics was used to generate numerical data in the sheets. All details are included in the sheets. 3. "03_Summary_Combined.xlsx" - This is the third of the three files that were used for the development of the journal article. This file contains the main results from the article, which are connected to Figure 8 (sheet GE) and Figures 9 and 10 (Sheet GG). 5. METHODS ---------- - The data provided was produced through COMSOL Multiphysics. The numerical models were two dimensional and they were assessed through both steady and transient state analysis. The transient models were developed with a time step of one hour and simulation period of 1 year. All other details (physical parameters and thermal properties) used in modelling can be accessed from the data sheets provided in the data set. - The extracted data from the numerical models are presented in "01_DataSheet_ShapeFactors_GE.xlsx" and "02_DataSheet_ShapeFactors_GG.xlsx" for energy walls which have exposed side and fully buried energy walls respectively. - All details are simultaneously provided in the publication related to this data set. The details regarding numerical modelling is available in section 3 of the paper, whereas the formulae connected to these shape factor are discussed in section 2.