Optimization and Experimental Validation of ACNP-Coated Peanut Shell Absorber Plate for Enhanced Thermal Performance of Solar Air Heaters

Abstract This study investigates the enhancement of thermal and exergy performance in a solar air heater using activated carbon nanoparticle (ACNP) coatings integrated with peanut-shell-based composite absorber plates. Experimental and optimization analyses were conducted to determine the influence of mass flow-rate, ACNP concentration, and solar intensity on system efficiency. Results revealed that the incorporation of bio-based peanut-shell composites and ACNP coatings significantly improved heat absorption and transfer characteristics. The optimum operating conditions were identified at a mass flow-rate of 0.035 kg/s, ACNP concentration of 20 wt%, and solar intensity of 760 W/m2, achieving a maximum thermal efficiency of 78.5%, exergy efficiency of 4.08%, and outlet air temperature of 78.2 °C, with a moderate pressure drop of 180 Pa. Validation through response surface methodology (RSM) confirmed strong agreement between predicted and experimental results, emphasizing the accuracy of the developed models. The contour and 3D surface plots demonstrated clear interaction effects between parameters, optimizing system performance effectively. The findings highlight that ACNP-coated peanut-shell composites provide a sustainable, cost-effective, and high-performance solution for solar air-heating applications, promoting the advancement of bio-inspired materials in renewable thermal energy systems.

Authors

Institutions

Publication Details

Journal
Journal of Solar Energy Engineering
Published
2026-04-15
DOI
https://doi.org/10.1115/1.4071659
Primary Topic
Heat Transfer Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization and Experimental Validation of ACNP-Coated Peanut Shell Absorber Plate for Enhanced Thermal Performance of Solar Air Heaters

Ganesh Nataraj, Karthikeyan Rajendran, Ajithkumar Sitharaj, Ravikumar Athagoundenpudur Rangaraj
Journal of Solar Energy Engineering
Heat Transfer Mechanisms
article

Optimization and Experimental Validation of ACNP-Coated Peanut Shell Absorber Plate for Enhanced Thermal Performance of Solar Air Heaters

Ganesh Nataraj, Karthikeyan Rajendran, Ajithkumar Sitharaj, Ravikumar Athagoundenpudur Rangaraj
article en

Abstract

Abstract This study investigates the enhancement of thermal and exergy performance in a solar air heater using activated carbon nanoparticle (ACNP) coatings integrated with peanut-shell-based composite absorber plates. Experimental and optimization analyses were conducted to determine the influence of mass flow-rate, ACNP concentration, and solar intensity on system efficiency. Results revealed that the incorporation of bio-based peanut-shell composites and ACNP coatings significantly improved heat absorption and transfer characteristics. The optimum operating conditions were identified at a mass flow-rate of 0.035 kg/s, ACNP concentration of 20 wt%, and solar intensity of 760 W/m2, achieving a maximum thermal efficiency of 78.5%, exergy efficiency of 4.08%, and outlet air temperature of 78.2 °C, with a moderate pressure drop of 180 Pa. Validation through response surface methodology (RSM) confirmed strong agreement between predicted and experimental results, emphasizing the accuracy of the developed models. The contour and 3D surface plots demonstrated clear interaction effects between parameters, optimizing system performance effectively. The findings highlight that ACNP-coated peanut-shell composites provide a sustainable, cost-effective, and high-performance solution for solar air-heating applications, promoting the advancement of bio-inspired materials in renewable thermal energy systems.

Journal of Solar Energy EngineeringVol. 148(4)
Shinhan University (KR), Institute of Engineering (NP), KPR Institute of Engineering and Technology (IN)
Responsible consumption and production
Openalex Percentile: Top 28%
Heat Transfer Mechanisms
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.