Title: Thermal performance analysis of PCM incorporated roof slab infrastructures using deep learning algorithms

Authors: Jaspal Singh; R.K. Tomar; N.D. Kaushika; Gopal Nandan

Addresses: Department of Civil Engineering, Amity University Uttar Pradesh, Noida, India ' Department of Civil Engineering, Amity University Uttar Pradesh, Noida, India ' Centre for Energy Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India ' Department of Mechanical Engineering, Amity University Uttar Pradesh, Noida, India

Abstract: PCM technology uses thermal energy storage (TES) to lessen the effects of changes in the outside temperature. PCM thermal energy storage may reduce ambient temperature changes (TES). Latent heat storage (LHS) reduces HVAC needs and enhances indoor comfort in conventional buildings. In buildings without HVAC, latent heat storage (LHS) enhances indoor thermal comfort by reducing the demand for HVAC. This study examines and measures the advantages of using PCM for building envelopes. In order to generalize the findings, a 1 m * 1 m * 1 m reference model is employed with four Indian towns located in various climate zones. Decision tree monitors temperature over time. Root mean square transforms actual and anticipated values, while mRMR selects features. Thermal testing equipment, a PCM wallboard heat storage experiment, and investigations on 5 mm, 10 mm, and 20 mm PCM plasterboard with a 220 C melting temperature are constructed to validate the results. PCM thickness reduced energy use logarithmically in all climatic zones, with temperate office buildings benefiting most.

Keywords: phase change material; adaptive envelopes; PCM thickness and energy thermal energy storage; infrastructures energy efficiency; passive strategies.

DOI: 10.1504/IJCIS.2024.140557

International Journal of Critical Infrastructures, 2024 Vol.20 No.4, pp.372 - 389

Received: 21 Dec 2022
Accepted: 14 Feb 2023
Published online: 23 Aug 2024 *

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