![]() ![]() RPi is suitable for beginners use, compared to other platforms, which are not appropriate to be used as a standalone processing system or are targeted to more advanced developers. If a large amount of data and applications are required, a SD card with minimum of 16 GB should be chosen. The extra capacity can be used for data storage. Raspbian image (around 2 GB) has to be written on a SD card (minimum of 8 GB) using another computer and then connected to the RPi. We used RPi 2 model B, a sophisticated and easy to use low-power microprocessor with onboard electronics supporting a large number of input and output peripherals, considered the world smallest computer. RPi is chosen due to its small size (similar to a credit card) and low-cost, compared to conventional PCs and data loggers, plus zero cost of free Linux software. REMS can also perform remote updates to the PIC microcontroller firmware and configure ELS via Internet, reducing displacements time and costs. REMS is completely customizable for different plants allowing expansion and variation of analog and digital sensors. Data are stored in an online database and accessible as charts and tables through a free software Web Monitor also developed for this project. ADCES is in charge of reading analog sensors while RPi reads digital sensors. REMS enables online supervision of measured variables using analog and digital sensors. Online Web Monitor for real-time cloud monitoring. Raspberry Pi (RPi) Embedded Linux System (ELS). REMS architecture, based on the Internet of Things (IoT) and Cloud computing principles, consists of three main parts: 1.Īnalog/Digital Converter Embedded System (ADCES) which utilizes a SanUSB microcontroller, based on free software and hardware tool with the PIC18Fxx5x family including native USB interface. Hence, to overcome this limitation and contribute to the propagation of RE micro and mini power generation systems, we propose the Renewable Energy Monitoring System (REMS), a new concept of an open source and low-cost data acquisition and transmission system using Raspberry Pi, multi-user cloud remote monitoring and Internet of Things, applied to decentralized RE plants. ![]() ![]() Increasing use of decentralized renewable energy (RE) sources worldwide makes even more important to develop online monitoring systems for micro and mini-generation plants utilizing those sources.ĭata acquisition and online monitoring systems are usually found in large power plants, since complex monitoring and relatively high costs make those systems not practical for micro and mini power generation clients. The measured variables are PV voltage and current, ambient and PV module temperature, solar irradiance, and relative humidity. REMS is capable of sensing and modifying monitoring process management via remote firmware update through the developed Analog/Digital Converter Embedded System (ADCES) as well as communicating with a personal developed cloud server profile via RPi Embedded Linux System (ELS), thus not requiring a dedicated PC. From this practical experience and in agreement with Brazil’s policy of diversifying the electricity generation matrix, our proposal focuses on a multi-user remote system using Raspberry Pi and Internet of Things (IoT) concept. To achieve this latest design, we went through various systems projects alongside the evolution of technology. In this project we propose, describe, implement and test the Renewable Energy Monitoring System (REMS), a new concept on data acquisition and transmission systems (DATS) applied to real-time cloud monitoring of a decentralized photovoltaic (PV) plant. ![]()
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