Topology‐Guided Melting Optimization in CuO‐Doped Phase Change Media: A Numerical Framework for Thermal Storage Enhancement

This study numerically examines the melting and thermal storage performance of RT42 paraffin phase change material (PCM) integrated with 4 wt% CuO nanoparticles under five heated wall geometries and a reference case. A two‐dimensional rectangular enclosure (50 mm × 100 mm) is laterally heated at 1000 W m −2 , with other walls insulated. The CuO nanoparticles enhance PCM conductivity from 0.15 to 0.45 W/m·K, accelerating melting and heat transfer. Using the enthalpy‐porosity model, buoyancy‐driven melting is resolved with <2% deviation in validation and grid independence at 0.8 mm. At 7000 s, Cases IV–V attain 98–100% liquid fraction versus 85% in the reference geometry, while stored energy peaks at 42 kJ—about 25% higher than the baseline (33.5 kJ). Case V achieves a domain‐average temperature of 305.1 K, compared with 303.8 K for the reference, confirming more complete melting. Extended and inclined wall designs induce multi‐cell convective vortices that improve thermal uniformity and enhance the charging rate. The findings establish that optimized wall geometries, combined with CuO‐enhanced PCM, significantly improve heat absorption, melting uniformity, and energy storage efficiency, making the system ideal for solar, electronic, and battery‐cooling thermal management.

Authors

Institutions

Publication Details

Journal
Energy Technology
Published
2025-10-23
DOI
https://doi.org/10.1002/ente.202501263
Primary Topic
Phase Change Materials Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Topology‐Guided Melting Optimization in CuO‐Doped Phase Change Media: A Numerical Framework for Thermal Storage Enhancement

Santhosh Kumar Gugulothu, P. Gandhi, Narender Ranga, Raju Muthyala
Energy Technology
Phase Change Materials Research
article

Topology‐Guided Melting Optimization in CuO‐Doped Phase Change Media: A Numerical Framework for Thermal Storage Enhancement

Santhosh Kumar Gugulothu, P. Gandhi, Narender Ranga, Raju Muthyala
article en

Abstract

This study numerically examines the melting and thermal storage performance of RT42 paraffin phase change material (PCM) integrated with 4 wt% CuO nanoparticles under five heated wall geometries and a reference case. A two‐dimensional rectangular enclosure (50 mm × 100 mm) is laterally heated at 1000 W m −2 , with other walls insulated. The CuO nanoparticles enhance PCM conductivity from 0.15 to 0.45 W/m·K, accelerating melting and heat transfer. Using the enthalpy‐porosity model, buoyancy‐driven melting is resolved with <2% deviation in validation and grid independence at 0.8 mm. At 7000 s, Cases IV–V attain 98–100% liquid fraction versus 85% in the reference geometry, while stored energy peaks at 42 kJ—about 25% higher than the baseline (33.5 kJ). Case V achieves a domain‐average temperature of 305.1 K, compared with 303.8 K for the reference, confirming more complete melting. Extended and inclined wall designs induce multi‐cell convective vortices that improve thermal uniformity and enhance the charging rate. The findings establish that optimized wall geometries, combined with CuO‐enhanced PCM, significantly improve heat absorption, melting uniformity, and energy storage efficiency, making the system ideal for solar, electronic, and battery‐cooling thermal management.

Energy TechnologyVol. 14(1)
Sri Venkateswara Veterinary University (IN), Mamata Medical College (IN), Advanced Numerical Research and Analysis Group (IN), National Institute of Technology Andhra Pradesh (IN)
Openalex Percentile: Top 68%
Phase Change Materials Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.