FPGA-Based Real-Time Automation System For Optimizing Algae Cultivation For 3rd Generation Biofuel Production

DOI

10.2991/978-94-6463-858-5_209How to use a DOI?

Keywords

FPGA; Algae Cultivation; 3rd Generation Biofuels; Real-Time Automation; Sensor Integration

Abstract

Third-generation (3G) biofuels, derived from algae, have been created to address the increasing demand for renewable fuels. With high energy density, low land use, and carbon dioxide sequestration capabilities, biofuels from algae are seen as a good alternative to fossil fuels. However, for making the processes of algae growth efficient enough for maximum production of biofuel, highly specific control of a large number of environmental factors such as light intensity, temperature, nutrition supply, pH, and CO₂ is required. This project will create and implement a FPGA-based real-time automatic system for optimizing the algae growth environment in terms of increasing the growth rate and biofuel production.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Y. Amar Babu
AU  - B. Akhila
AU  - A. Navaseela A. Sai Siddardha
AU  - Ch. Kiran Kumar
PY  - 2025
DA  - 2025/11/04
TI  - FPGA-Based Real-Time Automation System For Optimizing Algae Cultivation For 3rd Generation Biofuel Production
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2508
EP  - 2522
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_209
DO  - 10.2991/978-94-6463-858-5_209
ID  - Babu2025
ER  -