Designing a Wireless Solar Power Monitor for Wireless Sensor Network Applications

Murugesh, Remya; Hanumanthaiah, Aravind; Ramanadhan, Ullas; Vasudevan, Nirmala

doi:10.1109/iadcc.2018.8692105

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…This increase in the solar panel's temperature affects its current-voltage characteristics, known as the IV curve [12]. The solar panel's output current is directly proportional to solar irradiance with little effect on the output voltage [8,10,12]. The panel's temperature has a positive impact on the panel's output current while having a negative impact on output voltage [8,10,12,21,23].…”

Section: Meteorological Parametersmentioning

confidence: 99%

“…Hence, it is imperative to monitor the solar plant's electrophysical parameters for better fault diagnostics. Generally, the main electrical components of solar plants are [8,22]:…”

Section: Electro-physical Parametersmentioning

confidence: 99%

“…For example, in South Asia, a 6000 MB internet data package is available for USD 5 [52]. In this regard, SIM900 [8,15,30,51] can be employed for intercommunication between edge nodes and requisitioned cloud platforms.…”

Section: Edge Layermentioning

confidence: 99%

“…3. In [8], it has been reported that about 14% of solar panels develop a major fault within a year of operations. Therefore, panel-level monitoring in real time can help in undertaking in-time diagnostics, evaluation, and performance enhancement strategies [9,10].…”

Section: Introductionmentioning

confidence: 99%

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Harnessing the Cloud: A Novel Approach to Smart Solar Plant Monitoring

Ali,

Dost,

Khattak

et al. 2024

Future Internet

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Renewable Energy Sources (RESs) such as hydro, wind, and solar are merging as preferred alternatives to fossil fuels. Among these RESs, solar energy is the most ideal solution; it is gaining extensive interest around the globe. However, due to solar energy’s intermittent nature and sensitivity to environmental parameters (e.g., irradiance, dust, temperature, aging and humidity), real-time solar plant monitoring is imperative. This paper’s contribution is to compare and analyze current IoT trends and propose future research directions. As a result, this will be instrumental in the development of low-cost, real-time, scalable, reliable, and power-optimized solar plant monitoring systems. In this work, a comparative analysis has been performed on proposed solutions using the existing literature. This comparative analysis has been conducted considering five aspects: computer boards, sensors, communication, servers, and architectural paradigms. IoT architectural paradigms employed have been summarized and discussed with respect to communication, application layers, and storage capabilities. To facilitate enhanced IoT-based solar monitoring, an edge computing paradigm has been proposed. Suggestions are presented for the fabrication of edge devices and nodes using optimum compute boards, sensors, and communication modules. Different cloud platforms have been explored, and it was concluded that the public cloud platform Amazon Web Services is the ideal solution. Artificial intelligence-based techniques, methods, and outcomes are presented, which can help in the monitoring, analysis, and management of solar PV systems. As an outcome, this paper can be used to help researchers and academics develop low-cost, real-time, effective, scalable, and reliable solar monitoring systems.

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Section: Meteorological Parametersmentioning

confidence: 99%

“…Hence, it is imperative to monitor the solar plant's electrophysical parameters for better fault diagnostics. Generally, the main electrical components of solar plants are [8,22]:…”

Section: Electro-physical Parametersmentioning

confidence: 99%