Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)

Engineering the Light Environment for Impact of Adaptive Illumination on Micro-algae Synthesis Efficiency

Authors
I. G. Suputra Widharma1, *, I. M. Sajayasa1, I. G. N. Sangka1, A. A. M. Dewi Anggreni2, I. K. Darminta1, I. N. Sunaya1, I. K. G. Sri Budarsa1
1Electrical Engineering Department, Politeknik Negeri Bali, Bali, Indonesia
2Faculty of Agriculture Technology, Udayana University, Bali, Indonesia
*Corresponding author. Email: suputra@pnb.ac.id
Corresponding Author
I. G. Suputra Widharma
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-926-1_11How to use a DOI?
Keywords
Adaptive Illumination; Engineering; Internet of Things; Light Environment; Microalgae Synthesis; Solar Panel
Abstract

This study aims to develop and evaluate an adaptive lighting system to enhance the efficiency of microalgae cultivation in closed environments. The system integrates a photovoltaic solar panel, energy storage, and an IoT-based controller that dynamically regulates LED illumination according to real-time environmental parameters. Nannochloropsis sp. was cultivated using seawater medium enriched with nutrients, with two groups established: a control system with static LED lighting and a treatment system with adaptive LED control. Environmental conditions, including water temperature and pH, were monitored using calibrated DS18B20 and pH-4502C sensors, validated against standard instruments (error ±0.1). Biomass productivity was measured weekly through gravimetric methods.

Experimental results show that the adaptive lighting group achieved an average biomass concentration of 3.1 mg/L, compared to 2.9 mg/L under static lighting, corresponding to a 7% increase in synthesis efficiency. In addition, the adaptive system reduced unnecessary energy consumption by synchronizing LED output with ambient light and photosynthetic demand. These results align with previous studies on the role of red–blue spectra in enhancing photosynthesis efficiency, while extending the concept by introducing automated adaptive control powered by renewable energy.

The findings demonstrate that engineering the light environment through adaptive, IoT-based control contributes to higher biomass yield and energy efficiency, supporting the scalability of sustainable bio-resource production and its potential applications in green technology and eco-friendly tourism.

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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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-926-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-926-1_11How to use a DOI?
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.

Cite this article

TY  - CONF
AU  - I. G. Suputra Widharma
AU  - I. M. Sajayasa
AU  - I. G. N. Sangka
AU  - A. A. M. Dewi Anggreni
AU  - I. K. Darminta
AU  - I. N. Sunaya
AU  - I. K. G. Sri Budarsa
PY  - 2025
DA  - 2025/12/31
TI  - Engineering the Light Environment for Impact of Adaptive Illumination on Micro-algae Synthesis Efficiency
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
PB  - Atlantis Press
SP  - 81
EP  - 92
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-926-1_11
DO  - 10.2991/978-94-6463-926-1_11
ID  - Widharma2025
ER  -