Issue |
E3S Web Conf.
Volume 581, 2024
Empowering Tomorrow: Clean Energy, Climate Action, and Responsible Production
|
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Article Number | 01033 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/e3sconf/202458101033 | |
Published online | 21 October 2024 |
Optimization of Bioenergy Production from Algae Using Bioreactor Design
1 Uttaranchal University, Dehradun - 248007, India
2 Department of AI&ML, Gokaraju Rangaraju Institute of Engineering and Technology, Bachupally, Hyderabad, Telangana, India.
3 Department of Electronics & Communication Engineering, KG Reddy College of Engineering and Technology, Chilkur(Vil), Moinabad(M), Ranga Reddy(Dist), Hyderabad, 500075, Telangana, India.
4 Centre of Research Impact and Outcome, Chitkara University, Rajpura - 140417, Punjab, India
5 Lovely Professional University, Phagwara, Punjab, India
6 Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh - 174103 India
7 Department of Electrical Engineering, GLA University, Mathura - 281406 (U.P.), India
8 Department of computers Techniques engineering, College of technical engineering, The Islamic University, Najaf, Iraq
* Corresponding Authors: sanjeevjoshi@uumail.in
Bioenergy production from algae has gained significant attention due to its potential as a sustainable and renewable energy source. This research investigates the optimization of bioenergy production by focusing on bioreactor design to enhance the efficiency of algal biomass growth and lipid extraction. The study involves analyzing key bioreactor parameters such as light intensity, nutrient concentration, pH levels, and carbon dioxide (CO₂) supply. Experimental results demonstrated a 25% increase in lipid production through optimized conditions, showing promising improvements in biofuel yield. The findings of this research provide valuable insights into the potential scalability of algae-based bioenergy systems.
Key words: Bioenergy / Algae / Bioreactor / Optimization / Lipid production / Renewable energy / Carbon dioxide / Sustainability
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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