UPCM-EQF: a theoretical framework for climate-responsive energy and comfort optimization using phase change materials

• A universal framework (UPCM-EQF) is developed for PCM performance quantification. • Climate-responsive metrics integrate thermal comfort and energy efficiency. • Suitability Ratio (SR) and Enhanced Suitability Index (ESI) are introduced. • Empirical relations enable simulation-free PCM evaluation across climates. • Framework validated using FEM simulations and real-world climate data. Phase Change Materials (PCMs) are widely recognized for reducing HVAC energy loads and enhancing indoor comfort, yet their effectiveness remains highly climate-dependent and difficult to generalize. This study introduces the Universal PCM Effectiveness Quantification Framework (UPCM-EQF), a unified, climate-responsive methodology that integrates heat transfer principles, thermal comfort indices (PMV/PPD), and adaptive climate metrics. Novel metrics, including the Suitability Ratio (SR) and the Enhanced Suitability Index (ESI), are developed to quantify dual-season PCM performance. In addition, empirical relations are derived to estimate energy savings, comfort improvements, and payback periods, enabling practical design-stage decision-making. Validated through finite element simulations and multi-climate case studies, UPCM-EQF demonstrates predictive accuracy across tropical, temperate, and continental climates. It thus provides a universal, scalable, and simulation-free tool to support PCM integration for energy efficiency and thermal comfort.

Authors

Institutions

Publication Details

Journal
Energy Conversion and Management X
Published
2026-02-14
DOI
https://doi.org/10.1016/j.ecmx.2026.101650
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

UPCM-EQF: a theoretical framework for climate-responsive energy and comfort optimization using phase change materials

Kishor Kalauni, Ajitanshu Vedrtnam, Shashikant Chaturvedi, Nelson Soares
Energy Conversion and Management X
Phase Change Materials Research
article

UPCM-EQF: a theoretical framework for climate-responsive energy and comfort optimization using phase change materials

Kishor Kalauni, Ajitanshu Vedrtnam, Shashikant Chaturvedi, Nelson Soares
article en

Abstract

• A universal framework (UPCM-EQF) is developed for PCM performance quantification. • Climate-responsive metrics integrate thermal comfort and energy efficiency. • Suitability Ratio (SR) and Enhanced Suitability Index (ESI) are introduced. • Empirical relations enable simulation-free PCM evaluation across climates. • Framework validated using FEM simulations and real-world climate data. Phase Change Materials (PCMs) are widely recognized for reducing HVAC energy loads and enhancing indoor comfort, yet their effectiveness remains highly climate-dependent and difficult to generalize. This study introduces the Universal PCM Effectiveness Quantification Framework (UPCM-EQF), a unified, climate-responsive methodology that integrates heat transfer principles, thermal comfort indices (PMV/PPD), and adaptive climate metrics. Novel metrics, including the Suitability Ratio (SR) and the Enhanced Suitability Index (ESI), are developed to quantify dual-season PCM performance. In addition, empirical relations are derived to estimate energy savings, comfort improvements, and payback periods, enabling practical design-stage decision-making. Validated through finite element simulations and multi-climate case studies, UPCM-EQF demonstrates predictive accuracy across tropical, temperate, and continental climates. It thus provides a universal, scalable, and simulation-free tool to support PCM integration for energy efficiency and thermal comfort.

Energy Conversion and Management XVol. 30
Invertis University (IN), Institute of Construction and Architecture of the Slovak Academy of Sciences (SK), University of Coimbra (PT)
Climate action, Affordable and clean energy
Openalex Percentile: Top 57%
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.