Design and Analysis of Grape Cold Storage Model Using IoT Based Technology

A miniature replica of a grape cold storage facility has been constructed to optimize air distribution and temperature uniformity using computational fluid dynamics (CFD) analysis. CFD simulations were conducted to evaluate and enhance airflow patterns and thermal distribution within the storage mod...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of the Institution of Engineers (India) Series C Jg. 106; H. 3; S. 737 - 747
Hauptverfasser: Shah, Abhijeet, Gaurvadkar, Amey, Patil, Sukanya
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New Delhi Springer India 01.06.2025
Springer Nature B.V
Schlagworte:
Aerospace Technology and Astronautics
Air flow
Cold storage
Cold weather construction
Computational fluid dynamics
Control algorithms
Cost control
Efficiency
Engineering
Food
Grapes
Humidity
HVAC
Industrial and Production Engineering
Internet access
Internet of Things
Mechanical Engineering
Monitoring systems
Optimization
Original Contribution
Real time
Remote monitoring
Sensors
Storage facilities
Temperature sensors
CFD
RFID
Node MCU
Temperature control
Arduino IDE
IoT
ISSN:2250-0545, 2250-0553
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A miniature replica of a grape cold storage facility has been constructed to optimize air distribution and temperature uniformity using computational fluid dynamics (CFD) analysis. CFD simulations were conducted to evaluate and enhance airflow patterns and thermal distribution within the storage model, ensuring efficient cooling performance. In addition, Internet of Things (IoT) technology was integrated to monitor real-time temperature and humidity levels, with sensor data being transmitted to the cloud for remote access and monitoring. The model utilizes a Node MCU board, DHT11 temperature sensor, and a humidity sensor, showcasing a cost-effective and efficient solution for cold storage optimization. The findings highlight the importance of CFD analysis in determining optimal duct configurations and airflow distribution, complemented by IoT-based real-time monitoring to maintain controlled storage conditions.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2250-0545
2250-0553
DOI:10.1007/s40032-025-01177-w