Thermal management and energy efficiency analysis of planar-array LED water-cooling luminaires in vertical farming systems for saffron

Gao, Dan; Ji, Xinyu; Pei, Weizhong; Zhang, Xue; Li, Fusheng; Han, Qiuyi; Zhang, Shanduan

doi:10.1016/j.csite.2023.103535

Cited by 2 publications

(1 citation statement)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…LED array that chips are mounted on a small area could be a solution for power LED lighting (Gao et al, 2023;Lin et al, 2012;Patil et al, 2023;Yu et al, 2022). However, the LED array needs significant electrical power, resulting in performance degradation caused by heat accumulation.…”

Section: Introductionmentioning

confidence: 99%

Thermal management of multiple LEDs for high-power lighting applications

Cho,

JANG

2023

IJERR

View full text Add to dashboard Cite

Power LED lighting has suffered from substantial heat generated, leading to significant performance degradation. Consequently, achieving an optimal distribution of LEDs is essential to ensure high luminance efficiency. Implementing effective thermal treatment is important to prevent any potential degradation in the performance of the LED lighting system. Optimizing the arrangement of individual LEDs is a promising approach to mitigating heat accumulation issues. In this paper, we propose a reasonable approach to obtaining the optimal distribution of LED lighting systems under DC biasing and PWM operating conditions. The thermal analysis simulation was performed based on the theoretical assumption to evaluate the thermal distribution of a single LED. Thermal analysis was conducted on an LED lighting system with 20 LEDs, and the distance between LEDs ranged from 4 mm to 24 mm. The simulated analysis showed that the maximum temperature could be controlled from 65.1 ℃ to 58.7 ℃. We discussed the optimum arrangement of LEDs and how heat generated by an LED influences the system. In addition, the LED lighting was operated in PWM mode to mitigate the thermal issues. The relationship between luminance efficiency and operation condition is discussed. Thus, the luminance efficiency improved from 114.8 lm/W to 126.8 lm/W, and the thermal relaxation time was no longer than 0.013 s. The process of determining the optimal distance between LEDs was very effective in achieving an optimized power operating condition and LEDs distribution in the module for a compact volume and enhanced performance.

show abstract

Section: Introductionmentioning

confidence: 99%

Thermal management of multiple LEDs for high-power lighting applications

Cho,

JANG

2023

IJERR

View full text Add to dashboard Cite

show abstract

Internet of things (IoT) based saffron cultivation system in greenhouse

Khan,

Farooq,

Khelifi

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Saffron is the world's most expensive and legendary crop that is widely used in cuisine, drugs, and cosmetics. Therefore, the demand for saffron is increasing globally day by day. Despite its massive demand the cultivation of saffron has dramatically decreased and grown in only a few countries. Saffron is an environment-sensitive crop that is affected by various factors including rapid change in climate, light intensity, pH level, soil moisture, salinity level, and inappropriate cultivation techniques. It is not possible to control many of these environmental factors in traditional farming. Although, many innovative technologies like Artificial Intelligence and Internet of Things (IoT) have been used to enhance the growth of saffron still, there is a dire need for a system that can overcome primary issues related to saffron growth. In this research, we have proposed an IoT-based system for the greenhouse to control the numerous agronomical variables such as corm size, temperature, humidity, pH level, soil moisture, salinity, and water availability. The proposed architecture monitors and controls environmental factors automatically and sends real-time data from the greenhouse to the microcontroller. The sensed values of various agronomical variables are compared with threshold values and saved at cloud for sending to the farm owner for efficient management. The experiment results reveal that the proposed system is capable to maximize saffron production in the greenhouse by controlling environmental factors as per crop needs.

show abstract

Thermal management and energy efficiency analysis of planar-array LED water-cooling luminaires in vertical farming systems for saffron

Cited by 2 publications

References 29 publications

Thermal management of multiple LEDs for high-power lighting applications

Thermal management of multiple LEDs for high-power lighting applications

Internet of things (IoT) based saffron cultivation system in greenhouse

Contact Info

Product

Resources

About