Simulation study on thermal performance of a Solar box Cooker using nanocomposite for natural Food invention

• Published in: Environmental science and pollution research international Vol. 28; no. 36; pp. 50649 - 50667
• Main Authors: Bhavani, Sundararajan, Shanmugan, Sengottaiyan, Chithambaram, Venkatesan, Essa, Fadl Abdelmonem Elsayed, Kabeel, Abd-Elnaby, Selvaraju, Periyasami
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-09-2021; Springer Nature B.V
• Subjects: Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Cookers; Ductility; Earth and Environmental Science; Ecotoxicology; Energy efficiency; Environment; Environmental Chemistry; Environmental Health; Environmental science; Ferric oxide; Fuzzy logic; Heat transfer; Molybdenum disulfide; Nanocomposites; Nanomaterials; Nanotechnology; Natural & organic foods; Optical properties; Research Article; Solar cookers; Solar energy; Solar radiation; Thermal energy; Waste Water Technology; Water Management; Water Pollution Control; Double glass covers; Nanocomposites; Cooking power; Fuzzy and Cramer’s rules; Thermal performance parameters
• ISSN: 0944-1344; 1614-7499
• DOI: 10.1007/s11356-021-14194-w

The double glass cover analysis of a solar box cooker has been implemented in an internal heat transfer using MoS
2
–Fe
2
O
3
–Cr
2
O
3
nanomaterials. A nanocomposite material’s essential role is its higher surface/volume ratio which agrees in small area size of a high ductility without strength loss and an enhanced optical property. The nanocomposite materials have an average particle size of 0.2 - 0.5 μm. Compared to the overall thermal energy efficiency of the solar cookers used, the samples with and without this study’s modification are 56.21–31.77% and 33.90–24.90%. The design used nanomaterials’ performance with and without coating materials achieved by the bar plate temperature of about 163.74 °C and 113.34 °C below solar radiation of 1037W/m
2
. The simulation model is conducted on the fuzzy intelligent logic and Cramer’s rules. It agreed with the experimental results by 91%.