Impacts of automated natural ventilation in the temperature and humidity of a distribution transformer room

Correia, Alexandre F. M.; Ferreira, Luís Miguel; Coimbra, A. Paulo; Almeida, Anı́bal T. de

doi:10.1109/cpe-powereng48600.2020.9161687

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…To address these problems, various solutions can be implemented, such as using IoT-based temperature and humidity monitoring systems, platform Blynk to optimize temperature and humidity control, and designing control circuits using actuators such as fans with relays [4]- [5]. Proper ventilation, using curtains or window films to reduce direct sunlight exposure, and monitoring the use of electronic devices that can affect room temperature, such as air conditioners and lights, can also help maintain good temperature and humidity levels in a room [6].…”

Section: Introductionmentioning

confidence: 99%

Room Temperature and Humidity Control System Using Arduino and Blynk

Purnomo,

Sunardi

2023

Control Syst. Optim. Lett.

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The temperature and humidity of a room can be a problem that affects the comfort and health of its occupants. Issues such as excessively high or low temperatures and humidity levels can make it difficult for people to sleep and cause discomfort. Various solutions can be implemented, such as using IoT-based temperature and humidity monitoring systems, platform Blynk to optimize temperature and humidity control, and designing control circuits using actuators such as fans with relays. This control system uses the Blynk application to monitor and turn on and off the actuators in this study using a fan. Arduino Wemos D1 as the main processor, and for sensors, DHT22. Test method by placing the system in a room with an area of 3 x 3 m. The results of the test with the fastest average time were in the morning with a time of 10 minutes, 52 seconds. The longest average time was obtained during the day, with a test time of 14 minutes, 38 seconds. The difference in error between the system and the comparison is the highest at a temperature of 2.71% and at a humidity of 33.5%.

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Section: Introductionmentioning

confidence: 99%

Room Temperature and Humidity Control System Using Arduino and Blynk

Purnomo,

Sunardi

2023

Control Syst. Optim. Lett.

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Detection of internal humidity in a transformer via optical interferometry

Jiang

Peng

et al. 2022

Appl. Opt.

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To detect the internal humidity of the transformer accurately and sensitively and eliminate the interference caused by electromagnetic fields, an interferometric measurement is proposed in this paper for the first time, to the best of our knowledge. The phase value distribution of the interferogram affected by humidity can be extracted quantitatively. The peak-to-peak value (P-P) of the phase image can reflect the humidity, according to theoretical analysis, and the main factors affecting the P-P are current and humidity. It has been tested by currents of 800 A, 1000 A, and 1200 A and different humidities. The paper reveals the relationship between humidity and P-P, proving that it is a reasonable application of real-time measurement of internal humidity in the transformer.

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Impacts of automated natural ventilation in the temperature and humidity of a distribution transformer room

Cited by 2 publications

References 4 publications

Room Temperature and Humidity Control System Using Arduino and Blynk

Room Temperature and Humidity Control System Using Arduino and Blynk

Detection of internal humidity in a transformer via optical interferometry

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