Sustainable tiles for renewable energy harvesting using integrated solar PV thermoelectric generator and piezoelectric technologies

• Introduced eco-friendly tiles using 30% M-sand substitution for sustainability. • Integrated PV, TEG, and piezoelectric technologies for renewable energy harvesting. • Achieved superior thermal performance with optimized solar absorption and emissivity. • Applied predictive algorithms to enhance voltage generation and energy efficiency. This study introduces a novel method for sustainable energy solutions by creating eco-friendly energy-harvesting tiles that combine renewable energy production with environmental preservation. The suggested tiles include a 30% replacement of M-sand with torched fly ash, reducing dependence on natural resources while preserving structural integrity and improving thermal performance. The energy-harvesting capability is realised by integrating Solar Photovoltaic (PV) cells, Thermoelectric Generators (TEG), and Piezoelectric crystals, which jointly convert solar radiation, temperature differentials, and mechanical stress into electricity. The performance study indicates that the tiles possess a solar absorption of 0.256, solar reflectance of 0.81, thermal emissivity of 0.86, and a water absorption rate of 5.37%, assuring durability and resilience against environmental variables. Furthermore, predictive techniques like Support Vector Regression (SVR), Gradient Boosting, and Neural Networks enhanced energy production, with the Neural Networks model exhibiting greater prediction accuracy. The suggested tiles provide a sustainable construction solution by integrating energy production with efficient material use, rendering them appropriate for urban infrastructure and innovative building applications. This dual-focus design tackles energy and environmental issues, fostering sustainable building techniques.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2025-05-29
DOI
https://doi.org/10.1016/j.rineng.2025.105478
Citations
4
Primary Topic
Advanced Thermoelectric Materials and Devices
Type
article
Field-Weighted Citation Impact
2.07
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable tiles for renewable energy harvesting using integrated solar PV thermoelectric generator and piezoelectric technologies

R Narayanamoorthi, Balasubramanian Murugesan, Jan Petrov, P. Mukilan et al.
4 citations
Results in Engineering
Advanced Thermoelectric Materials and Devices
2.07
article

Sustainable tiles for renewable energy harvesting using integrated solar PV thermoelectric generator and piezoelectric technologies

R Narayanamoorthi, Balasubramanian Murugesan, Jan Petrov, P. Mukilan, Jan Sobotík
article en
4 citations

Abstract

• Introduced eco-friendly tiles using 30% M-sand substitution for sustainability. • Integrated PV, TEG, and piezoelectric technologies for renewable energy harvesting. • Achieved superior thermal performance with optimized solar absorption and emissivity. • Applied predictive algorithms to enhance voltage generation and energy efficiency. This study introduces a novel method for sustainable energy solutions by creating eco-friendly energy-harvesting tiles that combine renewable energy production with environmental preservation. The suggested tiles include a 30% replacement of M-sand with torched fly ash, reducing dependence on natural resources while preserving structural integrity and improving thermal performance. The energy-harvesting capability is realised by integrating Solar Photovoltaic (PV) cells, Thermoelectric Generators (TEG), and Piezoelectric crystals, which jointly convert solar radiation, temperature differentials, and mechanical stress into electricity. The performance study indicates that the tiles possess a solar absorption of 0.256, solar reflectance of 0.81, thermal emissivity of 0.86, and a water absorption rate of 5.37%, assuring durability and resilience against environmental variables. Furthermore, predictive techniques like Support Vector Regression (SVR), Gradient Boosting, and Neural Networks enhanced energy production, with the Neural Networks model exhibiting greater prediction accuracy. The suggested tiles provide a sustainable construction solution by integrating energy production with efficient material use, rendering them appropriate for urban infrastructure and innovative building applications. This dual-focus design tackles energy and environmental issues, fostering sustainable building techniques.

Results in EngineeringVol. 26
VSB - Technical University of Ostrava (CZ), SRM Institute of Science and Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 13%
Advanced Thermoelectric Materials and Devices
2.07
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.