This paper is published in Volume-11, Issue-3, 2025
Area
Environmental Engg
Author
Ashish Kondekar, Sujit V. Andhare, Srushti D. Jadhav, Tanay N. Jane, Vishwajit T. Shinde, Sakshi V. Bhavar
Org/Univ
Sinhgad Institute of Technology and Science Narhe ,Pune, India
Pub. Date
08 June, 2025
Paper ID
V11I3-1312
Publisher
Keywords
Water Extraction, Oxygen Generation, Atmospheric Air, Cultivation of Ardunio Microalgae, Liquid Tree.

Citationsacebook

IEEE
Ashish Kondekar, Sujit V. Andhare, Srushti D. Jadhav, Tanay N. Jane, Vishwajit T. Shinde, Sakshi V. Bhavar. Design of Water and Oxygen Extraction From Atmospheric Air and Microalgae, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ashish Kondekar, Sujit V. Andhare, Srushti D. Jadhav, Tanay N. Jane, Vishwajit T. Shinde, Sakshi V. Bhavar (2025). Design of Water and Oxygen Extraction From Atmospheric Air and Microalgae. International Journal of Advance Research, Ideas and Innovations in Technology, 11(3) www.IJARIIT.com.

MLA
Ashish Kondekar, Sujit V. Andhare, Srushti D. Jadhav, Tanay N. Jane, Vishwajit T. Shinde, Sakshi V. Bhavar. "Design of Water and Oxygen Extraction From Atmospheric Air and Microalgae." International Journal of Advance Research, Ideas and Innovations in Technology 11.3 (2025). www.IJARIIT.com.

Abstract

The purpose of this study is to develop a low-energy for water generation and Spirulina microalgae cultivation. The integrated model was designed to perform three main functions: use condensation and dehumidification to draw out water from ambient air, utilizing the water that was extracted, and cultivate Spiriola spp. The system integrates sensors and IOT system to monitor air quality, manage purification processes, and optimize water and oxygen production. The research methodology study involves installing an end-open tube collector, sensors, and operating the system to collect and collect the data from air-to-water conversion efficiency under varying conditions. The study involves designing a solar-powered system with a desiccant wheel, developing theoretical models to predict performance, and validating these models through experimental testing and data analysis. The IOT data confirmed stable environmental factors such as 78% humidity, pH around 7.5, and oxygen concentration near 20.90%, validating the system's sustainability and effectiveness. The results of the study are that the integrated model is a high-efficiency, low-power, and renewable method suitable for urban and semi-urban environments.