A smart IoT system for monitoring solar PV power conditioning unit

Shrihariprasath, B.; Rathinasabapathy, Vimalathithan

doi:10.1109/startup.2016.7583930

Cited by 50 publications

(10 citation statements)

References 4 publications

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“…Table 2 shows a classification of the sensors used, indicating the type of signal conditioning carried out to adapt its output signal to the input of the data acquisition system used. In order to choose the data acquisition system (DAS), proposals by other authors in this field have been taken into account, such as the aforementioned experiments [16,18,30] in which photovoltaics system monitoring was based on low-cost data acquisition systems. The monitoring of meteorological and electrical parameters in a photovoltaic stand-alone system pumping station was studied by A Mahjoubi [21].…”

Section: Architecture Of the Monitoring System Materials Used For Thmentioning

confidence: 99%

“…Prototype 555 W Arduino Mega IoT Internet Achive [30] 1 kW DAS based on 16F877 SMS GPRS/GSM No comment [18] 150 W Arduino Uno Card SD No possible Achive [48] No comment Arduino Mega Card SD No possible No comment [49] 1.6 kWp Arduino Uno Card SD Via radio No comment [16] 2.2 kW Arduino Uno No Comment GPRS/Web No comment [21] No comment Arduino Uno SMS GPRS No comment [19] No comment Arduino Nano Card SD…”

Section: Based On P a Das Data Storage Connection Standard Iec61724-1mentioning

confidence: 99%

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Development of a Prototype for Monitoring Photovoltaic Self-Consumption Systems

et al. 2020

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Currently, the increasing energy consumption around the world and the environmental impact resulting from the use of fossil fuel-based energy have promoted the use of renewable energy sources such as photovoltaic solar energy. The main characteristic of this type of energy is its unpredictability, as it depends on meteorological conditions. In this sense, monitoring the power generation of photovoltaic systems (PVS) in order to analyze their performance is becoming crucial. The purpose of this paper is to design a monitoring system for a residential photovoltaic self-consumption system which employs an Internet of Things (IoT) platform to estimate the photovoltaic power generation according to solar radiation and temperature. The architecture of the developed prototype will be described and the benefits of providing the use of IoT for monitoring will be highlighted, since all data collected by the data acquisition system (DAS) may be stored in the Cloud. The comparison of the results with those of other monitoring systems was very positive, with an uncertainty that complies with the IEC61724 standard.

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Section: Architecture Of the Monitoring System Materials Used For Thmentioning

confidence: 99%

Section: Based On P a Das Data Storage Connection Standard Iec61724-1mentioning

confidence: 99%

Development of a Prototype for Monitoring Photovoltaic Self-Consumption Systems

et al. 2020

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“…Some already installed rooftop BIPV projects are presented in Table I. [16]. The proposed system can be used up to the voltage range of 146 V and the current range of 15.5 A.…”

Section: Iot Enabled Bipv (Iot-ebipv) Modules For Extracting Maximum mentioning

confidence: 99%

Role of Internet of Things (IoT) in Maximum Power Extraction from BIPV Modules: A Review for Developing Smart Zero Energy Buildings

Sarkar¹,

Shukla²,

Kumar³

et al. 2018

IJET

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Evolution of Building Integrated Photovoltaic's (BIPV) technology has resulted in the development of smart buildings as a clean source of electrical energy generation which can either be stand alone or grid connected systems. This paper briefs about the studies on the role of Internet of Things (IoT) in real-time controlling and monitoring of parameters like tilt angles, defected modules, shading effect in BIPV systems etc which decreases the dc power output. In addition, it also describes the use of IoT for maximum power extraction from BIPV modules present in rooftops and facades. Enabling IoT in BIPV installation makes the overall system cost-effective, energy efficient, reliable and can be operated remotely through android apps, smart phones, laptops, PCs, tablets etc via internet which is very easily accessible in recent times. IoT along with BIPV is showing a new direction towards smart generation from renewable energy resources like solar through PV integrated building or construction materials.

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“…Internet of things (IOT)‐based technologies provide controlling and monitoring of MPPT system with distributed connectivity and automation, which process the sensor's data and is fed to antenna [14]. Furthermore, IOT supports to locate MPP region of solar module dynamically.…”

Section: Introductionmentioning

confidence: 99%