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Power Controllable LED System with Increased Energy Efficiency Using Multi-Sensors for Plant Cultivation

Author

Listed:
  • Yong Deok Ahn

    (Department of Electronic Engineering, Sogang University, Seoul 04107, Korea)

  • Sungwoo Bae

    (Department of Electrical Engineering, Hanyang University, Seoul 04763, Korea)

  • Suk-Ju Kang

    (Department of Electronic Engineering, Sogang University, Seoul 04107, Korea)

Abstract

In this paper, a power-controllable light emitting diode (LED) control system is proposed for plant cultivation. The proposed LED system measures environmental data, such as the distance between the plant and LED system using an infrared sensor and the ambient illuminance based on an illuminance sensor. Then, it converts the illuminance to the photosynthetic photon flux density (PPFD) for plant cultivation. It analyzes the relationship between the data and LED PPFD, and generates an optimal pulse width modulation (PWM) signal. Therefore, it controls the LED PPFD dynamically. The proposed LED system is also implemented in hardware, which consists of red and blue LED arrays with suitable wavelengths and a micro-controller. In the experimental results, the proposed LED system preserved the target PPFD regardless of the change of the distance and ambient PPFD. Additionally, the proposed LED system maximally reduced the power consumption of a conventional system by up to 68%.

Suggested Citation

  • Yong Deok Ahn & Sungwoo Bae & Suk-Ju Kang, 2017. "Power Controllable LED System with Increased Energy Efficiency Using Multi-Sensors for Plant Cultivation," Energies, MDPI, vol. 10(10), pages 1-13, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1607-:d:114979
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    References listed on IDEAS

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    1. Uris Lantz C. Baldos & Thomas W. Hertel, 2014. "Global food security in 2050: the role of agricultural productivity and climate change," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(4), pages 554-570, October.
    2. Elisabete Correia & Helena Carvalho & Susana G. Azevedo & Kannan Govindan, 2017. "Maturity Models in Supply Chain Sustainability: A Systematic Literature Review," Sustainability, MDPI, vol. 9(1), pages 1-26, January.
    3. Chiara Burattini & Benedetta Mattoni & Fabio Bisegna, 2017. "The Impact of Spectral Composition of White LEDs on Spinach ( Spinacia oleracea ) Growth and Development," Energies, MDPI, vol. 10(9), pages 1-14, September.
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    Cited by:

    1. Yi-Chieh Hsu & Jing-Yuan Lin & Charlie Chung-Ping Chen, 2018. "Area-Saving and High-Efficiency RGB LED Driver with Adaptive Driving Voltage and Energy-Saving Technique," Energies, MDPI, vol. 11(6), pages 1-12, June.
    2. Ming-Chang Tsou & Ming-Tse Kuo, 2020. "Optimal Combination Design of a Light Emitting Diode Matrix Applicable to a Single-Stage Flyback Driver," Energies, MDPI, vol. 13(19), pages 1-16, October.

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