Intelligent Spectrum Controlled Supplemental Lighting for Daylight Harvesting

Mohagheghi, Afagh; Moallem, M.

doi:10.1109/tii.2020.3007614

Cited by 10 publications

(18 citation statements)

References 44 publications

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“…The most relevant systems to our objective are those described by Jiang et al [33] and Mohagheghi and Moallem [34]. Both present systems that use inexpensive sensors integrated into a smart lighting system, with the purpose of harvesting daylight to conserve resources.…”

Section: Introductionmentioning

confidence: 99%

“…Both present systems that use inexpensive sensors integrated into a smart lighting system, with the purpose of harvesting daylight to conserve resources. Daylight harvesting is a technique successfully used in both buildings and greenhouses to account for sunlight and adapt the lighting accordingly, providing a more efficient use resources [14,[34][35][36][37]. Both Jiang et al [33] and Mohagheghi and Moallem [34] utilize the TCS34725 light sensor to estimate PAR in their smart lighting systems.…”

Section: Introductionmentioning

confidence: 99%

“…Mohagheghi and Moallem [34] used the set points of the highest PAR value provided by the manufacturer, the wattage, and the values provided for the spectrum by Ryer [38] in their calibration formula. As with Lork et al [30], there was no comparison to any quantum sensor or lab spectrometer to validate the accuracy of their PAR measurements.…”

Section: Introductionmentioning

confidence: 99%

“…The system uses a flood and drain hydroponic technique. The lighting that is provided uses two programmable (QuantoTech) luminaires composed of red and blue spectrum lights, building on Mohagheghi and Moallem [34]. Four TCS34725 sensors were used to measure the amount of red and blue ambient light, two near the window and two on the opposite side.…”

Section: Introductionmentioning

confidence: 99%

“…Four TCS34725 sensors were used to measure the amount of red and blue ambient light, two near the window and two on the opposite side. Using Mohagheghi and Moallem's [34] model, the readings were used to dim lights according to the minimum amount of desired supplemental light with reference to the incoming sunlight. In one experiment, they used desired set points from the raw readings of the TCS34725, rather than PAR, for both the red and blue spectrum.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Adaptalight: An Inexpensive PAR Sensor System for Daylight Harvesting in a Micro Indoor Smart Hydroponic System

et al. 2022

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Environmental changes and the reduction in arable land have led to food security concerns around the world, particularly in urban settings. Hydroponic soilless growing methods deliver plant nutrients using water, conserving resources and can be constructed nearly anywhere. Hydroponic systems have several complex attributes that need to be managed, and this can be daunting for the layperson. Micro Indoor Smart Hydroponics (MISH) leverage Internet of Things (IoT) technology to manage the complexities of hydroponic techniques, for growing food at home for everyday citizens. Two prohibitive costs in the advancement of MISH systems are power consumption and equipment expense. Reducing cost through harvesting ambient light can potentially reduce power consumption but must be done accurately to sustain sufficient plant yields. Photosynthetic Active Radiation (PAR) meters are commercially used to measure only the light spectrum that plants use, but are expensive. This study presents Adaptalight, a MISH system that harvests ambient light using an inexpensive AS7265x IoT sensor to measure PAR. The system is built on commonly found IoT technology and a well-established architecture for MISH systems. Adpatalight was deployed in a real-world application in the living space of an apartment and experiments were carried out accordingly. A two-phase experiment was conducted over three months, each phase lasting 21 days. Phase one measured the IoT sensor’s capability to accurately measure PAR. Phase two measured the ability of the system to harvest ambient PAR light and produce sufficient yields, using the calibrated IoT sensor from phase one. The results showed that the Adaptalight system was successful in saving a significant amount of power, harvesting ambient PAR light and producing yields with no significant differences from the control. The amount of power savings would be potentially greater in a location with more ambient light. Additionally, the findings show that, when calibrated, the AS7265x sensor is well suited to accurately measure PAR light in MISH systems.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adaptalight: An Inexpensive PAR Sensor System for Daylight Harvesting in a Micro Indoor Smart Hydroponic System

et al. 2022

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Development of artificial lighting system for light supplementation in smart greenhouses with agrivoltaic systems

Rampinelli,

Marcelino,

Possenti Damasceno

et al. 2024

Renewable Energy

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An Energy-Efficient PAR-Based Horticultural Lighting System for Greenhouse Cultivation of Lettuce

Mohagheghi

Moallem

2023

IEEE Access

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This paper presents an intelligent horticulture lighting and monitoring system to achieve energy-efficient supplemental lighting while maintaining the light quality and intensity at desired levels in the photosynthesis spectrum. Energy-efficiency is achieved through delivering only the required net light intensity, consisting of sunlight and supplemental LED light, using an intelligent controller that does not depend on the lighting system model. To this end, an online neural-network learning control system is developed, comprised of low-cost light sensors for measuring the photosynthetic photon flux density (PPFD), dimmable LED light fixtures, cameras, and internet-of-things (IoT)-enabled firmware used for crop monitoring and performance evaluation. Experiments performed in a research greenhouse facility on the lettuce crop are presented which indicate that the system can deliver the desired Daily Light Integrals (DLIs) to the plants in the presence of changing daylight conditions. The proposed method can thus deliver the exact amount of light to a specific crop based on the required light recipes during different growth phases. The control performance is further compared with a conventional on-off time-scheduling method in terms of plant health, growth, and energy requirements. The experiments indicate that the proposed solution can reduce energy consumption per unit dry mass of lettuce by 28% when compared to existing time-scheduling methods.INDEX TERMS Daylight harvesting, energy-efficiency, horticultural lighting, Internet of Things, machine learning, neural networks, PAR measurement.

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Intelligent Spectrum Controlled Supplemental Lighting for Daylight Harvesting

Cited by 10 publications

References 44 publications

Adaptalight: An Inexpensive PAR Sensor System for Daylight Harvesting in a Micro Indoor Smart Hydroponic System

Adaptalight: An Inexpensive PAR Sensor System for Daylight Harvesting in a Micro Indoor Smart Hydroponic System

Development of artificial lighting system for light supplementation in smart greenhouses with agrivoltaic systems

An Energy-Efficient PAR-Based Horticultural Lighting System for Greenhouse Cultivation of Lettuce

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