Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

Energy Performance Assessment of Energy Pile Systems for Heating and Cooling Demand in Residential Buildings: A Case Study in Tehran

Document Type : Original Article

Authors
1 M.Sc. in Building Science Engineering, Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran
2 Associate Professor, Department of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran
3 Assistant Professor, Department of Mech. and Energy Systems Engineering, Shahid Beheshti University, Tehran, Iran
4 Assistant Professor, Niroo Research Institute (NRI), Ministry of Energy of Iran
10.22034/tdas.2025.245644
Abstract
Energy piles, which combine the structural role of building foundations with ground-source heat exchange, offer a promising means of reducing building energy use. This study evaluates the thermal performance of an energy pile system integrated into an eight-story residential building in the Saadat Abad district of Tehran, Iran. A Taguchi L9 orthogonal array was used to examine the effects of three design parameters (pile depth, pile diameter and heat exchanger pipe diameter), each at three levels, on the thermal response of an array of 16 energy piles, and the nine resulting scenarios were simulated in PileSim 2. Pile depth was the most influential parameter, followed by [pile diameter] and [pipe diameter]. In the optimal configuration, the 16 piles supplied approximately 97% of the building’s heating demand and 61% of its cooling demand. A preliminary estimate based on emission factors reported in the literature indicated that the optimal system could reduce annual CO₂ emissions by about [X] t ([Y]%) compared with a conventional [gas boiler and split air-conditioning] system. The findings show that energy piles can meet a substantial share of residential heating and cooling demand under Tehran’s climatic conditions. Because the results are based on numerical simulation, field monitoring is recommended to validate the predicted performance.
Keywords

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Volume 7, Issue 3
Summer 2025
Pages 154-165

  • Receive Date 03 February 2025
  • Revise Date 17 April 2025
  • Accept Date 26 July 2025