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IoT-enabled dependable control for solar energy harvesting in smart buildings
摘要： Efficiency and reliability have been essential requirements for energy generation in smart cities. This study presents the design and development of dependable control schemes for microgrid management, which can be seamlessly integrated into the management system of smart buildings. Here, to recover from failures in the solar energy system of a building microgrid, dependable controllers are proposed along with their hardware implementation. The system features the use of Internet of Things (IoT) as its core to coordinate the operation of multiple subsystems in a scalable manner. The control scheme uses a number of controllers cooperatively functioning via a token-based mechanism within the network to provide redundancy and thus reliability in solar tracking. The system exploits data from not only local in-situ sensors but also online sources via IoT networks for fault-tolerant control. Experiments conducted in a 12-storey building indicate that the harvested solar energy meets the design requirement while the control reliability is maintained in face of communication or hardware disruptions. The results confirmed the validity of the proposed approach and its applicability to energy management in smart buildings.
关键词： dependable control,smart buildings,IoT,solar energy,microgrid management
更新于2025-09-16 10:30:52
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Open Circuit Voltages for PERC Local Back Surface Fields Directly Resolved at the Nanoscale
摘要： Millimeter-sized and low-cost sensor nodes can enable future applications of the Internet of Things (IoT), for which the number of sensors is projected to grow to a trillion within the next decades. RF far-field power transfer is a potential technique for wirelessly powering these sensors since it offers flexible configuration of sensor networks, beamforming capability and a large power transfer range compared to near-field approaches. However, system design for RF power transfer needs to be completely rethought to enable this new paradigm of a trillion IoT sensors. This paper, therefore, presents a comprehensive, system-level analysis strategy and a modular framework for investigating the fundamental efficiency components in an RF power transfer chain. Through this detailed analysis, it is demonstrated that the optimal frequency is primarily determined by the antenna size and the quality factors (Q) of components in the matching network. Millimeter-wave frequencies are shown to be optimal for powering mm-sized sensors for practical matching component Q values. An intuitive explanation of our results is also provided, along with insights for the design and practical implementation of RF power transfer systems for the IoT space.
关键词： millimeter-sized sensors,RF-DC converter,matching network,Antennas,wireless power transfer,Internet of Things (IoT)
更新于2025-09-16 10:30:52
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[IEEE 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) - Faridabad, India (2019.2.14-2019.2.16)] 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) - IoT Enabled Real-Time Energy Monitoring for Photovoltaic Systems
摘要： The increasing demand for solar energy, high energy prices, and operational costs are all of which lead to several compelling reasons for the need for energy monitoring. In this paper, an Internet of Things based remote real-time energy monitoring system is developed to monitor the solar power generation. Various current and voltage sensors are integrated with a multipurpose microcontroller for aggregating the data. An IoT analytics platform is adapted to visualize the aggregated data and evaluate the energy generated for a given distributed generation system. This helps in continuous remote monitoring and results in improved efficiency of the power plants. The remote monitoring also helps in identifying various anomalies that may affect the operation of solar panels. The results depict the efficiency and error associated with the developed monitoring system, which proved to be better when compared with conventional energy monitoring systems.
关键词： Monitoring,Arduino Uno,PV Module,Current Sensor,Internet of Things (IoT),Voltage Sensor
更新于2025-09-16 10:30:52
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Forecasting Photovoltaic Power Generation via an IoT Network Using Nonlinear Autoregressive Neural Network
摘要： This research work is an attempt to introduce modern computing techniques as a potential decision-making tool in the field of renewable energy supply and management. We aim to demystify and take advantage of the concept of neural networks to predict the conversion of solar energy by a photovoltaic unit. In order to do so, a smart meter will be built and connected to a low power photovoltaic panel, the smart meter once in operation will capture a set of data, send them autonomously to a remote server over a LoRa IoT network which will be then processed to make predictions about the amount of power produced. Using Non Linear Autoregressive Neural Networks (NARX) with Matlab and Thingspeak IoT data capture, the results are favourable for open loop configuration although closed loop can be further improved, recommendations for the same are made at the end.
关键词： Photovoltaic,IoT Network,LoRa,Autoregressive Neural Network,Machine Learning,Supervised Learning
更新于2025-09-12 10:27:22
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A modified Smart Controlling and Monitoring Scheme of Three Phase Photovoltaic Inverter rely on LoRa Technology
摘要： Photovoltaics is the core of the greatest current system that using solar energy and it is regarded as the basic of sustainable engineering techniques. It is the method of exchanging daylight straightly to electricity power. The LoRa communication technology is a far-range, economic-power, small rate of bit technology. It is sponsored as a basic settling for the Internet of Things (IOT). This technology is applied where equipment is battery-feed with narrow bandwidth was required. In this manuscript, a novel method that depends on the LoRa technology is considered to observes and governs the power generated from a three-phase Photovoltaics inverter scheme that fed to grid directly. This scheme is designed with dual parts. The first one is for evaluating and control invertor part. This part attaches straight through the inverter to recognize the working of the inverter by changing the state of inverter from far spaces. The second part which is uses the liquid crystal display and a smart-phone observing application. The phone program is prepared using MIT App Inventor to observe and govern the entire scheme. The results show that this system is robust against the circumstances around the system and gives accurate results with minimum error when using in urban lands. The benefit of this system is to monitor and control the photovoltaic system located in remote place without need of attend to generating place.
关键词： LoRa communication,3-phase inverter,photovoltaic,IOT
更新于2025-09-12 10:27:22
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[IEEE 2019 IEEE Industry Applications Society Annual Meeting - Baltimore, MD, USA (2019.9.29-2019.10.3)] 2019 IEEE Industry Applications Society Annual Meeting - Internet of Things (IoT)-Enabled Solar Micro Inverter Using Blockchain Technology
摘要： Performance of the conventional photovoltaic (PV) systems is limited by the on-board embedded systems in the solar inverters. Moreover, an expensive supervisory control and data acquisition (SCADA) system or phase management units (PMUs) are still required for intelligent maintenance of the PV systems. It is expected that the conventional solar micro inverters can be advanced as a result of further investigation of the emerging Internet of Things (IoT) technologies and cloud/edge computing services. This paper proposes an internet of things (IoT)-enabled solar inverter using blockchain technology, which improving connectivity, observability, cyber security, and decentralized control toward a smarter PV system in smart grid environments. The IoT device incorporating blockchain technology enables the solar micro inverter to securely: 1) aggregate and send data to a main server for PV system health monitoring; 2) sharing data with other devices for decentralized optimal controls; and 3) execute PV inverter-level energy transaction and record. The concept of the proposed IoT-enabled solar micro inverter is validated by experimental studies.
关键词： internet of things,solar micro inverter,IoT,blockchain,smart contract
更新于2025-09-12 10:27:22
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IoT-based Control and Monitoring for DC Motor Fed by Photovoltaic System
摘要： Internet of Thing (IoT) makes the monitoring and controlling process become accessible everywhere and every time. In this paper, the IoT is used to control the speed of a DC Motor remotely through smartphone apps. The proposed system uses the 50Wp solar panel and DC-DC Converter to provide 24V dc to the motor. In speci?c, a PID algorithm is applied to control motor speed from the measured back EMF. There are 3 experiments that have been done. The ?rst is controlling motor speed through a smart phone, the second is the relationship between EMF and DC Motor speed, the third experiment was monitoring motor speed on Thingspeak and Blynk apps.
关键词： DC Motor,PID algorithm,IoT,Photovoltaic System,Solar Panel
更新于2025-09-12 10:27:22
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Design and Implementation A Smart Monitoring and Controlling System of Three-Phase Photovoltaic Inverter Based on LoRa
摘要： In this paper, a new smart monitor and control system has been designed for injected power application to grid from a three-phase photovoltaic inverter (a smart monitor and control system (SMCS)). The system consists two main units. Firstly, the control system unit: this unit connects directly to the inverter to measure the output voltage of three-phase photovoltaic inverter and the control circuit, It can turn the inverter ‘on’ or ‘off’ from a long distance. Secondly, the monitoring unit: this unit is designed to monitor the states of the photovoltaic inverter system from long distances. It has two monitoring options OLED and a smartphone monitoring application. LoRa technique (long range) used to send and receive data between controllers system and monitoring system. LoRa is a new type of wireless communication technology within the Internet of Things (IoT). The SMCS application has been designed by using open source software “MIT App Inventor 2”; this application is used to sends and receives the data from a control unit by using Bluetooth as a wireless communication in order to monitor and control the whole system. The main advantage of the SMCS that it can monitor and control three-phase photovoltaic inverters that have been installed in remote and rural areas.
关键词： control system,IoT,smart monitoring,LoRa,photovoltaic inverter
更新于2025-09-12 10:27:22
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IoT Network and Sensor Signal Conditioning for Meteorological Data and Photovoltaic Module Temperature Monitoring
摘要： The present paper describes the design, development, implementation and validation of an Internet of Things (IoT) network with sensors signal conditioning circuits for monitoring decentralized photovoltaic (PV) plants. The system intends to reduce costs of commercial dataloggers and sensing modules which require control and data storage using proprietary software. We applied our IoT monitoring network in three PV plants installed in Fortaleza and Maracanaú cities, Brazil, and in Cologne, Germany. The applied embedded solutions (namely, ESP 8266 and ESP 32) are based on free software and hardware and communicate with a Cloud server via Wi-Fi. A website, called Web Monitor, was developed in PHP for online and real-time data consultation in form of charts. The main objective of the proposal is to measure PV module temperature, providing data for the analysis of PV module’s efficiency and for fault detection in case of PV cells overheating. Solar irradiance, ambient temperature, relative air humidity and wind speed are also monitored, getting more data to analyze the effect of meteorological parameters on the PV module’s performance. The proposed system was designed in compliance with IEC 61724:1998 standard and the obtained charts are discussed in the results section considering different periods of the year. Finally, we validate the proposed temperature conditioning system with a commercial piece of equipment and a correlation of 0.9999 was achieved.
关键词： Photovoltaics,IoT Monitoring Network,Sensor Signal Conditioning
更新于2025-09-12 10:27:22
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200 mW-class LED-based optical wireless power transmission for compact IoT
摘要： For Internet of Things terminals such as many types of sensors, tags or beacons, wiring and using batteries are less effective power supplying methods due to excessive installation and maintenance costs. Wireless power transmission is a promising candidate, particularly optical wireless power transmission (OWPT), with its attractive advantages of long transmission distance, good directionality and small size. However, previous researches of OWPT are almost all focused on laser as a light source, which is difficult to use in the usual spaces due to possible safety reasons at the current stage. In this research, an LED-based OWPT system that realized large electricity power supply was designed and demonstrated. 223.9 mW of output power from 100 cm distance was achieved with a 1.7 × 1.7 cm2 size GaAs solar cell as a receiver. Around 77% of optical system efficiency was confirmed at a 2.1 × 2.3 cm2 irradiation size. The total power feeding efficiency was 6.3%.
关键词： optical wireless power transmission,IoT,LED,GaAs solar cell,wireless power transmission
更新于2025-09-11 14:15:04