ECO: An IoT platform for wireless data collection, energy control and optimization of a miniaturized wind turbine cluster: Power analysis and battery life estimation of IoT platform

Srbinovski, Bruno; Conte, Giovanni; Morrison, Alan P.; Popovici, Emanuel

doi:10.1109/icit.2017.7913266

Cited by 20 publications

(8 citation statements)

References 10 publications

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“…Some of these monitoring systems have already been developed in SCADA but these systems are very expensive and require more space and complex installation [29]. There are some methods based on IoT [30], [31] but their sample rate for collection of data is not only low but they are also solely focused on the purpose of collection rather than premature detection of faults and monitoring of turbines. Wind energy monitoring based on IoT should have strong reliability, accessibility, profitability and flexibility.…”

Section: Related Workmentioning

confidence: 99%

IoT Based Tools for Data Acquisition in Electrical Machines and Robotics

Raja

Vaimann

Rassõlkin

et al. 2021

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)

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Internet of Things (IoT) has seen rapid growth along with the recent advancement in information and communication area. With the introduction of new technologies, it has become easier to interact with machines and communicate with them. IoT cannot only be used to communicate and control these machines but it can be used further in diagnostics related to the detection or prediction of faults. As the infrastructure is advancing at a rapid speed, it has also become a need of the hour to update the way diagnostics and maintenance are carried out over them, to not only save cost but also time. This paper is a work in progress, where these opportunities will be explored in the context of IoT industrial applications.

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Section: Related Workmentioning

confidence: 99%

IoT Based Tools for Data Acquisition in Electrical Machines and Robotics

Raja

Vaimann

Rassõlkin

et al. 2021

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)

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“…To provide a real-time monitoring of wind turbine farms and to collect data wirelessly, each turbine within the array can be equipped with its own IoT device [10]. These IoT platforms could be used to report the measured voltage output to develop a power output model of the wind turbine, or what is called the power curve, in addition to the energy analysis for predicting the battery lifetime of the IoT nodes.…”

Section: Wind Turbine Reliability Using Iotmentioning

confidence: 99%

“…For the purpose of sychronization and archistration between the IoT nodes of the wind farm, the Network Time Protocol (NTP) could be employed. The NTP runs at both the IoT nodes, as well as the web server [10]. Reliability of wind turbines supports a sustainable operation of such an important power source.…”

Section: Wind Turbine Reliability Using Iotmentioning

confidence: 99%

IoT Applications in Wind Energy Conversion Systems

Alhmoud

Al-Zoubi

2019

Open Engineering

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Renewable energy reliability has been the main agenda nowadays, where the internet of things (IoT) is a crucial research direction with a lot of opportunities for improvement and challenging work. Data obtained from IoT is converted into actionable information to improve wind turbine performance, driving wind energy cost down and reducing risk. However, the implementation in IoT is a challenging task because the wind turbine system level and component level need real-time control. So, this paper is dedicated to investigating wind resource assessment and lifetime estimation of wind power modules using IoT. To illustrate this issue, a model is built with sub-models of an aerodynamic rotor connected directly to a multi-pole variable speed permanent magnet synchronous generator (PMSG) with variable speed control, pitch angle control and full-scale converter connected to the grid. Besides, a large number of various sensors for measurement of wind parameters are integrated with IoT. Simulations are constructed with Matlab/Simulink and IoT ’Thingspeak’ Mathworks web service. IoT has proved to increase the reliability of measurement strategies, monitoring accuracy, and quality assurance.

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“…[9,10]. In the energy sector, this approach has proven to be one of the main trends to reduce instrumentation costs and streamline the decision-making process to improve the performance of large photovoltaic installations [11,12], the real-time monitoring of offshore wind farms [13,14], and the automation of households to integrate them into smart grids [15,16].…”

Section: Introductionmentioning

confidence: 99%

IoT System for the Continuous Electrical and Environmental Monitoring into Mexican Social Housing Evaluated under Tropical Climate Conditions

et al. 2022

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This work presented the design, development, and implementation of a low-cost IoT system for real-time monitoring of electrical consumption and environment parameters inside social housing. The IoT monitoring system is composed of a set of remote measurement nodes that wirelessly sense and transmit records of the air temperature and relative humidity inside the house as well as the voltage, current, and power consumed by several electrical devices. A server coordinator composed of a Raspberry Pi was used for the interaction with the sensors through the Message Queue Telemetry Transport (MQTT) protocol and allowed the measured data packaging, fragmentation, transfer, storage, and cloud upload for remote multiuser visualization. The system was experimentally evaluated in an inhabited single-story house under tropical climate conditions. Operation tests indicate a successful performance of the protocols implemented for remote visualization and cloud storage. Moreover, an analysis of measured data allows the feasibility of identifying the occupants’ energy consumption patterns and their relationship with the search for comfortable environmental conditions. Thus, the proposed friendly framework is a promising alternative to energy management. Its implementation in embedded Linux-based systems provides the flexibility to integrate control strategies based on artificial intelligence.

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ECO: An IoT platform for wireless data collection, energy control and optimization of a miniaturized wind turbine cluster: Power analysis and battery life estimation of IoT platform

Cited by 20 publications

References 10 publications

IoT Based Tools for Data Acquisition in Electrical Machines and Robotics

IoT Based Tools for Data Acquisition in Electrical Machines and Robotics

IoT Applications in Wind Energy Conversion Systems

IoT System for the Continuous Electrical and Environmental Monitoring into Mexican Social Housing Evaluated under Tropical Climate Conditions

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