Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators

González, Isaías; Portalo, José María; Martín, Antonio

doi:10.3390/s21227650

Cited by 21 publications

(16 citation statements)

References 45 publications

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“…Grafana was connected to the MongoDB and MariaDB servers and was used for visualization [22][23][24]. As EMS administrators may not be information technology professionals, reducing the knowledge required for systems administration is key for real-world applicability.…”

Section: System Architecturementioning

confidence: 99%

On the Construction of an Edge-Based Remote Sensing Framework: The Applications on Automated Guided Vehicles and Drones

2022

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To monitor the status and mission progress of automated guided vehicles (AGVs), most platforms typically obtained real-time data through a data acquisition system that is deployed on the end vehicles. The data acquired from an end vehicle are generally sparse but are required frequently, and an examination process using cloud storage cannot commence until the device’s raw data are received. To reduce communication costs, the proposed edge-based monitoring system (EMS) applies edge computation to move the data examination from the cloud to an end site. The data buffered in the end device could be pre-processed by some detectors. For example, checking the energy is adequate for returning to the base. Thus, buffering data on the end device helps to minimize the time required by the decision maker for abnormal events, e.g., shutdowns caused by exhausted energy. In addition to adopting the common methods of storing, processing, and analyzing data at the data center, the EMS moves some time-sensitive services to the end vehicle. Moreover, after obtaining real-time motion data, the edge computing architecture immediately targets abnormal actions and sends reaction commands to shorten the decision making delay caused by the communication cost between the end vehicles and cloud storage sites, thereby avoiding collisions or accidents. The EMS has been implemented to monitor AGV and unmanned aerial vehicles. The EMS primarily monitored the power and motion of the vehicles. It also combined task-oriented motion commands for monitoring unexpected vehicle motions during tasks. If an abnormal event occurred, immediate warnings were provided through a notification interface and were immediately processed by the EMS to ensure safety during task execution. After checking data consistency between the EMS and the real device, the EMS reveals the corrected status of the device with very little delay. Therefore, the EMS could help with minimizing the time taken to make decisions. Moreover, the EMS has been modified to be deployed on drones to confirm its cross-platform applicability. In the simulations of drones, the EMS also got similar results to the simulations of AGVs. Therefore, the EMS could reduce the time in examining abnormal events and has cross-platform functionality.

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Section: System Architecturementioning

confidence: 99%

On the Construction of an Edge-Based Remote Sensing Framework: The Applications on Automated Guided Vehicles and Drones

2022

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“…Any outdoor testing facility can reduce capital cost for monitoring using open source systems for real time measurement of the sunlight incident angle [190], for UV-Vis-NIR radiation measurements [191] and radiation shields for environmental sensors [192]. Modules can be tested on site or in the lab with a solar simulator using an open source IV curve tracer for solar [193]. There is also considerable FOSH developed for monitoring PV systems including data logging [194] and those for monitoring PV device performance [195], insitu monitoring of smart PV modules [196], system monitoring [197], monitoring PV plants [198], and remote monitoring [199,200].…”

Section: Fosh For Renewable Energymentioning

confidence: 99%

Strategic Investment in Open Hardware for National Security

Pearce¹

2022

Preprint

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Free and open source hardware (FOSH) development has been shown to increase innovation and reduce economic costs. This article reviews the opportunity to use FOSH like a sanction to undercut imports and exports from a target criminal country. A formal methodology is presented for selecting strategic national investments in FOSH development to improve both national security and global safety. In this methodology, first the target country that is threatening national security or safety is identified. Next, the top imports from the target country as well as potentially other importing countries (allies) are quantified. Hardware is identified that could undercut imports/exports from the target country. Finally, methods to support the FOSH development are enumerated to support production in a commons-based peer production strategy. To demonstrate how this theoretical method works in practice it is applied as a case study to the current criminal military aggressor nation, who is also a fossil fuel exporter. The results show there are numerous existing FOSH and opportunities to develop new FOSH for energy conservation and renewable energy to reduce fossil fuel energy demand. Widespread deployment would reduce the concomitant pollution, human health impacts, and environmental desecration as well as cut financing of military operations.

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“…Currently, there is a variety of specialized commercial equipment known as "I-V curve tracer" (current-voltage curve tracer), which are capable of providing the most complete information possible on a photovoltaic system [14], since they reveal what is happening with a photovoltaic source, in addition to presenting quantitative measurements and a qualitative visual representation of your performance [15]. These do not allow modifications to expand their operating characteristics, so there is a tendency to build them based on a heterogeneous set of hardware and software technologies [16]. Non-commercial tracers are based on hardware devices such as microcontroller (MCU) ATMega2560 [17], [18], ATMEGA328 [19], Atmel SAM3X8E [20], MSP430 [21], TivaC [22], PIC18F46K22 [23], and Raspberry PI [16], which are used for validation of laboratory prototypes, automation of measurement and visualization processes [18] using, in most cases, devices with low hardware resources [24].…”

Section: Introductionmentioning

confidence: 99%

“…These do not allow modifications to expand their operating characteristics, so there is a tendency to build them based on a heterogeneous set of hardware and software technologies [16]. Non-commercial tracers are based on hardware devices such as microcontroller (MCU) ATMega2560 [17], [18], ATMEGA328 [19], Atmel SAM3X8E [20], MSP430 [21], TivaC [22], PIC18F46K22 [23], and Raspberry PI [16], which are used for validation of laboratory prototypes, automation of measurement and visualization processes [18] using, in most cases, devices with low hardware resources [24]. In addition, some solutions perform the presentation of the results, trace curves, using standard computer equipment, databases [16], [18], [19], data analysis software such as MATLAB [21], Labview [22] and Python [19], [16], without considering local monitoring capabilities such as liquid-crystal display (LCD) touch screens [23].…”

Section: Introductionmentioning

confidence: 99%

Embedded electronic system for evaluation of photovoltaic modules based on a current-voltage curve tracer

Yauri

Espino²

2023

IJEECS

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<span lang="EN-US">The rapid growth of the market for the use of renewable energy has increased the use of solar energy which has a significant role in power generation. This requires the insertion of equipment capable of providing precise measurements of the photovoltaic modules, either to verify the operation of the installation or to find specific problems. In this scenario, the current versus voltage curve tracer is used to describe the electrical behavior of the photovoltaic system through all the operating possibilities, but it has an excessive cost for small installations. This paper presents the development of a current-voltage curve tracer, capable of performing current, voltage and power measurements, contributing to the creation of equipment to test photovoltaic installations. The methods to obtain the I-V curves are presented and the characteristics of the embedded electronic system, which is based on an electronic load, are defined. As results, the simulations carried out for the variable load control, acquisition circuits and the implemented system are shown. In addition, the operation of the human-machine interface and the comparison with a commercial equipment are shown for reference.</span>

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Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators

Cited by 21 publications

References 45 publications

On the Construction of an Edge-Based Remote Sensing Framework: The Applications on Automated Guided Vehicles and Drones

On the Construction of an Edge-Based Remote Sensing Framework: The Applications on Automated Guided Vehicles and Drones

Strategic Investment in Open Hardware for National Security

Embedded electronic system for evaluation of photovoltaic modules based on a current-voltage curve tracer

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