Schlagwort: solar power

  • Empowering the transportation of the future, with the Ohio State Buckeye Solar Racing Team

    Empowering the transportation of the future, with the Ohio State Buckeye Solar Racing Team

    Reading Time: 3 minutes

    Arduino is ready to graduate its educational efforts in support of university-level STEM and R&D programs across the United States: this is where students come together to explore the solutions that will soon define their future, in terms of their personal careers and more importantly of their impact on the world.

    Case in point: the groundbreaking partnership with the Ohio State University Buckeye Solar Racing Team, a student organization at the forefront of solar vehicle technology, committed to promoting sustainable transportation by designing, building, and racing solar-powered vehicles in national and international competitions. This collaboration will see the integration of advanced Arduino hardware into the team’s cutting-edge solar vehicles, enhancing driver displays, data transmission, and cockpit metric monitoring.

    In particular, the team identified the Arduino Pro Portenta C33 as the best option for their car: “extremely low-powered, high-quality and reliable, it also has a CAN interface – which is how we will be getting data from our sensors,” team lead Vasilios Konstantacos shared.

    We have also provided Arduino Student Kits for prototyping and, most importantly, accelerating the learning curve for new members. “Our goal is to rapidly equip our newcomers with vital skills, enabling them to contribute meaningfully to our team’s progress. Arduino’s hardware is a game-changer in this regard,” Vasilios stated.
    In addition, the team received Nicla Vision, Nicla Sense ME, and Nicla Voice modules to integrate essential sensors in the car, and more Portenta components to make their R&D process run faster (pun intended!): Portenta Breakout to speed up development on the Portenta C33, Portenta H7 to experiment with AI models for vehicle driving and testing, and Portenta Cat. M1/NB IoT GNSS Shield to connect the H7 to the car wirelessly, replacing walkie-talkie communication, and track the vehicle’s location.

    Combining our beginner-friendly approach with the advanced features of the Arduino Pro range is the key to empower students like the members of the Buckeye Solar Racing Team to learn and develop truly innovative solutions with the support of a qualified industrial partner and high-performance technological products. In particular, the Arduino ecosystem offers a dual advantage in this case: components’ extreme ruggedness, essential for race vehicle operations, paired with the familiarity and ease of use of the Arduino IDE.

    The partnership will empower Ohio State University students to experiment with microcontrollers and sensors in a high-performance setting, fostering a seamless, hands-on learning experience and supporting the institution’s dedication to providing unparalleled opportunities for real-world application of engineering and technology studies. Arduino’s renowned reliability and intuitive interface make it an ideal platform for students to develop solutions that are not only effective in the demanding environment of solar racing but also transferable to their future professional pursuits.

    “We are thrilled to collaborate with the Ohio State University Buckeye Solar Racing Team,” commented Jason Strickland, Arduino’s Higher Education Sales Manager. “Our mission has always been to make technology accessible and foster innovation. Seeing our hardware contribute to advancing solar racing technology and education is a proud moment for Arduino.”

    The post Empowering the transportation of the future, with the Ohio State Buckeye Solar Racing Team appeared first on Arduino Blog.

    Website: LINK

  • A simple single-axis sun tracker to maximize solar output

    A simple single-axis sun tracker to maximize solar output

    Reading Time: 2 minutes

    Solar power is awesome, but it takes a long to recoup the investment on hardware. The more output you can squeeze from a solar panel, the faster you’ll cross that line into actual monetary savings on energy. You can achieve decent output through most of the day with smart placement, but a sun tracker like this single-axis design from Shawn Murphy will dramatically increase your output.

    This is a single-axis sun tracker and so it doesn’t increase output quite as much as a tracker that moves on two axes. But if one orients that axis properly, this will still be a significant improvement over a static solar panel.

    Murphy has two 300 watt solar panels mounted on the roof of a shed that they use as an art studio. That roof has a slight downward slope, so the panels only receive full sunlight when the sun is low in the sky. To account for that, a pair of powerful linear actuators lift up the entire roof of the shed to keep the solar panels perpendicular to the sun’s rays as much as possible. Gas struts help to lighten the load on the actuators.

    An Arduino Nano RP2040 Connect board controls the linear actuator motors through a Drok DC motor controller. The Arduino looks at a pair of LDRs (light dependent resistors) and calculates the differential between them to determine if the panels should tilt further. Murphy connected the Nano to the Arduino Cloud to log the readings, which lets him check to see the movement throughout the day.

    [youtube https://www.youtube.com/watch?v=lgmIF0OEbS0?feature=oembed&w=500&h=281]

    You might not have a shed with a roof like Murphy’s, but you can still repurpose this project for your own solar panels.

    The post A simple single-axis sun tracker to maximize solar output appeared first on Arduino Blog.

    Website: LINK

  • Raspberry Pi listening posts ‘hear’ the Borneo rainforest

    Raspberry Pi listening posts ‘hear’ the Borneo rainforest

    Reading Time: 2 minutes

    These award-winning, solar-powered audio recorders, built on Raspberry Pi, have been installed in the Borneo rainforest so researchers can listen to the local ecosystem 24/7. The health of a forest ecosystem can often be gaged according to how much noise it creates, as this signals how many species are around.

    And you can listen to the rainforest too! The SAFE Acoustics website, funded by the World Wide Fund for Nature (WWF), streams audio from recorders placed around a region of the Bornean rainforest in Southeast Asia. Visitors can listen to live audio or skip back through the day’s recording, for example to listen to the dawn chorus.

    Listen in on the Imperial College podcast

    What’s inside?

    The device records data in the field and uploads it to a central server continuously and robustly over long time-periods. And it was built for around $305.

    Here’s all the code for the platform, on GitHub.

    The 12V-to-5V micro USB converter to the power socket of the Anker USB hub, which is connected to Raspberry Pi.

    The Imperial College London team behind the project has provided really good step-by-step photo instructions for anyone interested in the fine details.

    Here’s the full set up in the field. The Raspberry Pi-powered brains of the kit are safely inside the green box

    The recorders have been installed by Imperial College London researchers as part of the SAFE Project – one of the largest ecological experiments in the world.

    Dr Sarab Sethi designed the audio recorders with Dr Lorenzo Picinali. They wanted to quantify the changes in rainforest soundscape as land use changes, for example when forests are logged. Sarab is currently working on algorithms to analyse the gathered data with Dr Nick Jones from the Department of Mathematics.

    The lovely cross-disciplinary research team based at Imperial College London

    Let the creators of the project tell you more on the Imperial College London website.

    Website: LINK

  • Raspberry Pi–powered robot farmers

    Raspberry Pi–powered robot farmers

    Reading Time: 3 minutes

    We love seeing Raspberry Pi being used to push industry forward. Here’s an example of how our tiny computers are making an impact in agriculture. 

    Directed Machines is a small company on a mission to remove pollution and minimise human labour in land care. Their focus is to do more with less, so the affordable power of our robust computers matches perfectly with their goals.

    You’ll find a Raspberry Pi 4 at the heart of their solar-powered, autonomous, electric tractors called Land Care Robots.

    Here are a few of the robot’s specs:

    • 30KW / 42HP peak power
    • 1400 ft.lb torque
    • 400W bi-facial, high-efficiency solar panel for 10KWh energy storage
    • 50″(W)×80″(L) with zero turn
    • Dual color and depth (distance measuring) cameras, accelerometer, magnetic compass, and GPS
    • 4G/3G/2G modem for self-update/telemetry publish/map downloads and WiFi, allowing direct control from smartphone or PC
    • Multiple autonomy modes, area coverage, and way-point navigation
    • Follow mode, person or peer robot, using wearable tag, depth sensors and motion control using smartphone touch/tilt, combined with obstacle avoidance

    Directed Machine’s COO Wayne Pearson explains: “Rather than opting for the most advanced components (often the simplest solution), we endeavour to find affordable, easily sourced components. We then enable these components to accomplish more by ensuring efficient uses of compute/memory resources through our software stack, which we built from the ground up.”

    “All in all,” Wayne continues, “this approach helps minimise unnecessarily inflated component costs (as well as the corresponding complexities) from being passed along to our customers — which keeps our prices lower and enables rapid field repair/maintenance.”

    Here’s a practical example of that. This is a custom HAT Directed Machine’s ‘Electrical Engineering Guy’ Chris Doughty shared on LinkedIn. It was specially created to expand the functionality of the Raspberry Pi 4s they were using:

    The HAT includes:

    • 7-port USB 2.0 hub (six ports off-board) with individual port-power control
    • 5A of 5.45V power to keep Pi running stable with high-current peripherals
    • 9-axis IMU LSM9DS1
    • Precision ‘M8P’ UBLOX GNSS receiver (capable of supporting RTK) SMA connection for external GPS antenna including DC for LNA
    • 7–15V DC input to support automotive and accessory-port applications • Connects to standard Raspberry Pi 3 and 4 via pin-header and standoffs

    Directed Machine’s founder George Chrysanthakopoulos shared the video at the top of this post on LinkedIn to demonstrate how the land care robots see the world while autonomously navigating. The combined power of Raspberry Pi 4 and their own built-from-the-ground software stack lets the robots see dual depth and colour streams at 15Hz. This is all made possible with a cheap GPS plus an Inertial Measurement Unit (IMU) for just $15 combined.


    With a base price of the Land Care Robot is in the thousands, we’re not suggesting you should pick up one for your back garden — cutting the lawn is a childhood chore for the ages. But, for industry, the robot is a fine example of how businesses are using Raspberry Pi to cut both cost and environmental impact.

    Also see Liz’s favourite project, the Cucumber Counter, and the popular CNC FarmBot, for more examples of ‘Down on the farm with Raspberry Pi’.

    Website: LINK

  • Monitoring bees with a Raspberry Pi and BeeMonitor

    Monitoring bees with a Raspberry Pi and BeeMonitor

    Reading Time: 4 minutes

    Keeping an eye on bee life cycles is a brilliant example of how Raspberry Pi sensors help us understand the world around us, says Rosie Hattersley

    The setup featuring an Arduino, RF receiver, USB cable and Raspberry Pi

    Getting to design and build things for a living sounds like a dream job, especially if it also involves Raspberry Pi and wildlife. Glyn Hudson has always enjoyed making things and set up a company manufacturing open-source energy monitoring tools shortly after graduating from university. With access to several hives at his keen apiarist parents’ garden in Snowdonia, Glyn set up BeeMonitor using some of the tools he used at work to track the beehives’ inhabitants.

    Glyn bent down infront of a hive checking the original BeeMonitor setup

    Glyn checking the original BeeMonitor setup

    “The aim of the project was to put together a system to monitor the health of a bee colony by monitoring the temperature and humidity inside and outside the hive over multiple years,” explains Glyn. “Bees need all the help and love they can get at the moment and without them pollinating our plants, weíd struggle to grow crops. They maintain a 34∞C core brood temperature (± 0.5∞C) even when the ambient temperature drops below freezing. Maintaining this temperature when a brood is present is a key indicator of colony health.”

    Wi-Fi not spot

    BeeMonitor has been tracking the hives’ population since 2012 and is one of the earliest examples of a Raspberry Pi project. Glyn built most of the parts for BeeMonitor himself. Open-source software developed for the OpenEnergyMonitor project provides a data-logging and graphing platform that can be viewed online.

    Spectators in protective suits watching staff monitor the beehive

    BeeMonitor complete with solar panel to power it. The Snowdonia bees produce 12 to 15 kg of honey per year

    The hives were too far from the house for WiFi to reach, so Glyn used a low-power RF sensor connected to an Arduino which was placed inside the hive to take readings. These were received by a Raspberry Pi connected to the internet.

    Diagram showing what information BeeMonitor is trying to establish

    Diagram showing what information BeeMonitor is trying to establish

    At first, there was both a DS18B20 temperature sensor and a DHT22 humidity sensor inside the beehive, along with the Arduino (setup info can be found here). Data from these was saved to an SD card, the obvious drawback being that this didn’t display real-time data readings. In his initial setup, Glyn also had to extract and analyse the CSV data himself. “This was very time-consuming but did result in some interesting data,” he says.

    Sensor-y overload

    Almost as soon as BeeMonitor was running successfully, Glyn realised he wanted to make the data live on the internet. This would enable him to view live beehive data from anywhere and also allow other people to engage in the data.

    “This is when Raspberry Pi came into its own,” he says. He also decided to drop the DHT22 humidity sensor. “It used a lot of power and the bees didn’t like it – they kept covering the sensor in wax! Oddly, the bees don’t seem to mind the DS218B20 temperature sensor, presumably since it’s a round metal object compared to the plastic grille of the DHT22,” notes Glyn.

    Bees interacting with the temperature probe

    Unlike the humidity sensor, the bees don’t seem to mind the temperature probe

    The system has been running for eight years with minimal intervention and is powered by an old car battery and a small solar PV panel. Running costs are negligible: “Raspberry Pi is perfect for getting projects like this up and running quickly and reliably using very little power,” says Glyn. He chose it because of the community behind the hardware. “That was one of Raspberry Pi’s greatest assets and what attracted me to the platform, as well as the competitive price point!” The whole setup cost him about £50.

    Glyn tells us we could set up a basic monitor using Raspberry Pi, a DS28B20 temperature sensor, a battery pack, and a solar panel.

    Website: LINK

  • Build a solar-powered nature camera for your garden

    Build a solar-powered nature camera for your garden

    Reading Time: 2 minutes

    Spring has sprung, and with it, sleepy-eyed wildlife is beginning to roam our gardens and local woodlands. So why not follow hackster.io maker reichley’s tutorial and build your own solar-powered squirrelhouse nature cam?

    Raspberry Pi- and solar-powered nature camera

    Inspiration

    “I live half a mile above sea level and am SURROUNDED by animals…bears, foxes, turkeys, deer, squirrels, birds”, reichley explains in his tutorial. “Spring has arrived, and there are LOADS of squirrels running around. I was in the building mood and, being a nerd, wished to combine a common woodworking project with the connectivity and observability provided by single-board computers (and their camera add-ons).”

    Building a tiny home

    reichley started by sketching out a design for the house to determine where the various components would fit.

    Raspberry Pi- and solar-powered nature camera

    Since he’s fan of autonomy and renewable energy, he decided to run the project’s Raspberry Pi Zero W via solar power. To do so, he reiterated the design to include the necessary tech, scaling the roof to fit the panels.

    To keep the project running 24/7, reichley had to figure out the overall power consumption of both the Zero W and the Raspberry Pi Camera Module, factoring in the constant WiFi connection and the sunshine hours in his garden.

    Raspberry Pi- and solar-powered nature camera

    He used a LiPo SHIM to bump up the power to the required 5V for the Zero. Moreover, he added a BH1750 lux sensor to shut off the LiPo SHIM, and thus the Pi, whenever it’s too dark for decent video.

    Raspberry Pi- and solar-powered nature camera

    To control the project, he used Calin Crisan’s motionEyeOS video surveillance operating system for single-board computers.

    Build your own nature camera

    To build your own version, follow reichley’s tutorial, in which you can also find links to all the necessary code and components. You can also check out our free tutorial for building an infrared bird box using the Raspberry Pi NoIR Camera Module. As Eben said in our YouTube live Q&A last week, we really like nature cameras here at Pi Towers, and we’d love to see yours. So if you have any live-stream links or photography from your Raspberry Pi–powered nature cam, please share them with us!

    Website: LINK

  • World’s Second Largest Solar Power Plant in the Mojave

    World’s Second Largest Solar Power Plant in the Mojave

    Reading Time: < 1 minute

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    Fully operational since December 2014, the Mojave Solar Project uses advanced parabolic trough technology that has made this 280 MegaWatt plant one of the most innovative projects in the country. The plant utilizes the desert’s solar thermal energy and then generates steam in solar steam generators. Electrical power is produced from twin, independently operable solar fields, each feeding a 125 MW power island. It’s expected to generate 617,000 MWh of power annually, sufficient for more than 88,000 households and preventing over 430 kilotons of carbon dioxide emission a year.

    mojave-solar-power