Development of a Real-Time Surface Solar Radiation Measurement System Based on the Internet of Things (IoT).
Álvaro B da RochaEisenhawer de M FernandesCarlos Antonio Costa Dos SantosJúlio M T DinizWanderley F A JuniorPublished in: Sensors (Basel, Switzerland) (2021)
The determination of the levels of solar radiation incident on the terrestrial surface (W·m-2) is essential for several areas such as architecture, agriculture, health, power generation, telecommunications, and climate forecasting models. The high cost of acquiring and maintaining radiometric equipment makes it difficult to create and expand monitoring networks. It contributes to the limited Brazilian radiometric network and affects the understanding and availability of this variable. This paper presents the development of a new surface solar radiation measurement system based on silicon photodiodes (Si) with a spectral range between 300 nm and 1400 nm incorporating Internet of Things (IoT) technology with an estimated cost of USD 200. The proposed system can provide instantaneous surface solar radiation levels, connectivity to wireless networks and an exclusive web system for monitoring data. For the sake of comparison, the results were compared with those provided by a government meteorology station (INMet). The prototype validation resulted in determination coefficients (R2) greater than 0.95 while the statistical analysis referred to the results and uncertainties for the range of ±500 kJ·m-2, less than 4.0% for the developed prototypes. The proposed system operates similarly to pyranometers based on thermopiles providing reliable readings, a low acquisition and maintenance cost, autonomous operation, and applicability in the most varied climatological and energy research types. The developed system is pending a patent at the National Institute of Industrial Property under registration BR1020200199846.
Keyphrases
- climate change
- health information
- radiation induced
- healthcare
- photodynamic therapy
- cardiovascular disease
- solid phase extraction
- wastewater treatment
- mental health
- quality improvement
- type diabetes
- computed tomography
- radiation therapy
- multiple sclerosis
- electronic health record
- machine learning
- mass spectrometry
- big data
- ionic liquid