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      "body": "<center><img src=\"https://cdn.steemitimages.com/DQmZxaf3ayAWQrbHf4KBr4hgWF8EjFPgFUFddgMXTGbmTzH/1.%20Our%20Turbines%20have%20Twitter%20Accounts.jpg\"></center>\n\n# Wind Turbines with Twitter accounts? \nUnconventional perhaps, but it’s a zero service cost option I was able to implement that allows WindAid Institute, a Peruvian Non-Governmental Organisation (NGO) to receive notifications from their wind turbine systems in rural Peru. The open source remote monitor project (or ReMona) was born out of a need to;\n\n* Receiving system alerts, such as battery level being critically low.\n* Wanting Live data to track system usage and turbine performance anywhere in the world.\n\n\n\n<center>![2. System block diagram SMALLER.jpg](https://cdn.steemitimages.com/DQmYBVZncgQqqeejHv6yHn6FXcua1V1qr9rdgDWVWC4S9S9/2.%20System%20block%20diagram%20SMALLER.jpg)</center>\n\n <center>**Fig 1. Block diagram explaining where ReMona connects to the WindAid system**</center>\n\n_[Block diagram explanation - AC electricity is generated from the turbine, and enters the system via ‘3 phase AC input’. The Charge Controller, converts this AC, into DC electricity which allows the energy to be stored in the 12V lead acid battery, and/or supply the 12V load circuit. The Remote Monitor observes the generation of turbine and the consumption of the loads (including itself). It also takes in wind speed data via the anemometer]_ \n\nAlerts are triggered when certain conditions are met, e.g. a battery level less than 11.6 Volts (V), and a message or ‘Tweet’ is sent to the linked Twitter account which can be followed by staff (or anyone by adding the twitter handle) so investigations can be started. The first step is to view the most recent data to try and identify possible problems. Staff members can use an Internet of Things (IoT) platform to observe near live data and carry out investigations from the workshop rather than have to travel 14 hours to visit the turbine. Click the link under the screenshot to see live data now!\n\n![3. twitter page example and tweets.jpg](https://cdn.steemitimages.com/DQmanWg9LmokHiwPMzZ8WiNYDGef7e3DbwahXm6hYKh1ggF/3.%20twitter%20page%20example%20and%20tweets.jpg)\n<center> **Example Twitter Page - Follow our Remote Monitor -> [PlayaBlancaWAI](https://twitter.com/PlayaBlancaWAI)**</center>\n\n\n![4. Thingspeak graphs.jpg](https://cdn.steemitimages.com/DQmYd4AC5d2u9WPuW1fwXaZQEuEw83nwaZ2sby1rssYd4yg/4.%20Thingspeak%20graphs.jpg)\n<center>**IoT Platform showing collected data [View Live Playa Blanca Data](https://thingspeak.com/channels/351446)**</center>\n\nThere have been some unexpected outcomes of the project that the NGO has also benefited from.\n* A realisation that the turbines are generating less energy than their design (250W as opposed to 500W), which has led to the team revising the manufacturing process, which will lead to turbines with a higher output power.\n* A dependable monitor that will be used in the future to collect wind data from the field to help evaluate wind resource before embarking on new community project. Previous attempts were undependable, and heavily reliant on wind maps.\n\nAs more units get rolled out to more of the turbine fleet, the monitors will provide an increased source of data for performance analysis, and allow the team to respond to faulty turbines faster and plan maintenance better. \n\nAmoungst other projects, developing and building a working prototype of a Remote Monitor for WindAid institute has been a huge part of my life over the last 18 months. After a successful application to [Engineers without Borders UK](https://www.ewb-uk.org/), I flew to Peru in September of 2016 as part of a 6 month international volunteer placement to support WindAid in their aspirations to have such a system for their 1.7m 250 Watt (W) wind turbine. In March of 2017 I was asked to become part of the full time team for a year and continue with Research and Design projects, along with other non engineering activities such as fundraising, online content creation, recruitment for their volunteer program and community coordination. \n\n![5. Playa Blanca Turbine.JPG](https://cdn.steemitimages.com/DQmTcbyW1nJnjjJdDNs7igzDPATrL3fje6pZPV4cbazisKw/5.%20Playa%20Blanca%20Turbine.JPG)<center>**Household 1.7m diameter 250W Turbine in Playa Blanca Community**</center>\n\n![6. pastoruri turbine.JPG](https://cdn.steemitimages.com/DQmfEteRwdB3fBDhAWkYRNGJmQPdAxLQmC7WxPU2xsqToUR/6.%20pastoruri%20turbine.JPG)\n<center>**WindAid’s 4.0, 2.5kW  Turbine in the stunning Peruvian Andes, also Guiness World Record Holder for the highest Wind Turbine in the world, Pastoruri glacier 4800m MASL**</center>\n\nWindAid Institute to date has deployed more than 50 wind turbines, impacting the lives of more than 700 Peruvians who do not have access to the national electricity grid. Volunteers come from all corners of the globe to learn how to build small scale wind turbines from scratch and participate in the 'light up a life' social programme, deploying these wind turbines in rural communities over a 4 week project.\n\n## Challenges to Overcome\nThere is a plethora of hardware options to choose from for building such a project. In truth by the time I had my first working prototype, newer potentially cheaper options were available, but it would be very difficult sourcing them in Peru. Two examples would be the  [Particle Electron](https://store.particle.io/collections/electron) or [Pycom's Gpy](https://pycom.io/hardware/gpy-specs/) that may have better energy performance, with built in SIM card capabilities to send the sensor data. After conducting a review of our options, I selected the Arduino Uno and Raspberry Pi combination because of their availability within Peru. If a module were to break I’ve identified suppliers in Trujillo, the city WindAid institute is based in. A lesson I learnt very quickly was if building something in an international development context the local availability of parts is key, as services such as amazon or ebay may simply just not operate in the country you are working in.\n\nThe IoT and ‘maker’ space has lots of options when looking to create a monitoring project such as a weather station, websites such as instructables.com and hackster.io offer example projects but most of these assume two things we take for granted in most modern cities; \n\n* 110V/ 220V Alternating Current (AC) electricity supply\n* Widely available WiFi (latest version of Raspberry Pi has built in WiFi)\n\nIn most communities WindAid is providing electricity for the first time, so the only power source for a potential remote monitor is our very own turbine (or a separate solar PV system), and there is definitely no wifi available, although most communities have 3G or 4G mobile data coverage.\n\nTo solve the electrical supply problem, I used a module that’s widely available in any market in Peru, a car cigarette lighter. These are designed to run off your car battery and accept 12V Direct Current (DC) and output 5V DC, via a USB connection. \n\n<center>![7. charger_car_dual SMALLER.jpg](https://cdn.steemitimages.com/DQmccS7V7sCGqyhJ98ZjBHY9tVpDUdYEasWNsdsxMnzhSxY/7.%20charger_car_dual%20SMALLER.jpg)</center>\n\nAs the Raspberry Pi uses the same supply as a mobile phone (5V,  1 Amp(A), although 2A is recommended, micro USB connector) these were the perfect solution to give us an appropriate supply for the Remote Monitor. \n\nThe connectivity problem was resolved by using a USB dongle with a local SIM card. Although these devices are not ‘plug & play’ like most USB peripherals (e.g keyboard/mouse) for the Raspberry Pi, they allowed me to have a web-connected Raspberry Pi, wherever there is mobile data coverage.\n\n<center>![8. usb_modem.jpeg](https://cdn.steemitimages.com/DQmPypdpV8xk2DPuUH2q9U2amgtnLPfRGuV3t4xsxXMZxGY/8.%20usb_modem.jpeg)</center>\n\n## Remote Monitor (ReMona) Project Breakdown\n\n<center>![9. system flow diagram SMALLER.jpg](https://cdn.steemitimages.com/DQmYiaMYbCoKEepxNpQFzeCvRa2Lxt3E5bcuRLVEdg7sCfA/9.%20system%20flow%20diagram%20SMALLER.jpg)</center>\n<center> **Fig 2 - Flow Diagram of the ReMona Project**</center>\n\nHere’s a breakdown of each of the modules and steps involved in the ReMona project. Firstly data is collected and then transmitted from the field to an online platform that can be viewed anywhere with an internet connection.\n\n1. Three different types of sensors are used to collect Turbine Power Generation, System Battery Voltage, User Power Consumption and Wind Speed. \na) A voltage divider to measure DC voltage (0 - 30V [Voltage Divider Tutorial](https://learn.sparkfun.com/tutorials/voltage-dividers) )\nb) A current sensor ([0 - 20A ACS712](http://www.14core.com/introduction-of-acs712-current-sensor-module-30a-with-arduino/) capable of measuring AC & DC) \nc) An anemometer to measure wind speed ([Adafruit Anemometer](https://www.adafruit.com/product/1733) range 0 - 32 m/s) \n\n2.  The signals from these devices are connected to an Arduino Uno which is a C++ microcontroller module. The Uno processes these signals and transmits the data every second to a Raspberry Pi over USB connection.\n\n3. The Raspberry Pi is the brain of the unit, it is an extremely popular credit card sized Linux based PC that has many uses. In my project, the software has been developed in Node-RED which has been fantastic for fast prototyping and should serve as a great platform for non-coders to be able to develop and change the project in the future. The Pi receives the data from the Arduino every second and provides a 10 minute average of turbine generated power (watts), consumed power from the user (watts), wind speed (meters per second), battery voltage (volts) plus the individual voltages and currents involved in the power calculations. Energy data is also recorded for the generation of the turbine and also the energy the user has consumed in Kilowatt Hours (kWh), which are sent to the Twitter account every day.\n\n4. Additional software installed on the Pi connects every 10 minutes to send the data over 3G to an IoT platform known as Thingspeak.com. The internet connection is ended after the data has been sent, to reduce energy consumption.\n\n5. Thingspeak.com offers a user-friendly interface, allowing trends to be seen for each data stream. It also offers data analysis and processing through an online version of MatLab. It’s also possible to download the entire data set for offline analysis in the software of your choice. Alerts can be set up on the Thingspeak website, depending on a user-defined level, a message can be triggered and sent to a Twitter account such as low battery voltage, (i.e. battery voltage < 11.6V) or high winds (i.e. wind speed > 10 meters per second)\n\n<center>![10. tweet examples - SMALLER.jpg](https://cdn.steemitimages.com/DQmS6FSr8XkHXed3S25j9ixzrEjZY3K8gwp1PxPzaANyZz6/10.%20tweet%20examples%20-%20SMALLER.jpg)</center>\n<center>**Example Tweets from a ReMona**</center>\n\nReMona also creates local data files in the event there is an issue with the internet connection, or we want to collect data on a turbine in a community where there is no data coverage\n\n\n## Hardware and Data Costs\n\n<center>![11. remote monitor prototype.JPG](https://cdn.steemitimages.com/DQmcLrPgHXWizjUvQP6mtFQ5Xk7onWsj1btCesiGocHg83D/11.%20remote%20monitor%20prototype.JPG)</center>\n<center> **ReMona powered up and sending data from the field** </center>\n\nHere’s a breakdown of hardware costs, note in Peru the prices are slightly elevated due to importation costs. To give a budget price, the sensor pack costs $63, the ReMona Unit cost is $150, and monthly data plans cost between $6 to $9 depending on mobile phone network.\n\nIn communities with more than one wind turbine, we need only install 2 or 3 anemometers to measure the wind. For example in one of our largest communities, Playa Blanca we have 23 turbines at the time of writing, we’ve cut costs down dramatically without every ReMona needing and anemometer.\n\nItem | Quantity       | Cost per unit $ (Purchased in Peru) | Cost per unit $ (Purchased in Europe/North America)\n------------ | -------------| -------------| -------------\nDC Current Sensors | 2 | $4.50 each | $3 each\nDC Voltage Sensors | 3 | $2.70 each | $2.70 each\nAnemometer | 1 | $45 each | $45 each\n- | Sensor Grand Total | $63 | $60 \n<center>**Table 1 - Sensor Cost  Breakdown**</center>\n\n\nItem | Quantity | Cost per unit $ (Purchased in Peru) | Cost per unit $ (Purchased in Europe/North America)\n------------ | -------------| -------------| -------------\nArduino Uno | 1 | $12 | $10\nRaspberry Pi | 1 | $63 | $45\nUSB Modem Dongle | 1 | $20 | $15 \nUSB car charger | 1 | $5 | $2\nBox & Other Construction materials | 1 set | $50 | $50\n- | Hardware Grand Total | $150 | $122\n<center>**Table 2 - ReMona Module Cost Breakdown**</center>\n\nMonthly data packages vary widely in Peru, and I needed to carry out tests in each new community to see which service provider had the strongest data signal. Arguably smaller data packages could be used, but these were the minimums we could arrange with the networks. My advice for anyone looking to implement something similar is to speak to local people and ask which mobile service are the strongest, then go and visit each network provider and find out their lowest monthly package. Finally use a pay as you go sim to check data coverage in the installation site, before signing a monthly contact.\n\nSpecific IoT global SIM cards exist, which could potentially reduce your costs.\n\n[Hologram.io](https://hologram.io/) - trials worked out to be more expensive than a Peru SIM card, this is likely to do with the method of sending the data in Node-RED to Thingspeak.com\n\n[Particle.io](https://www.particle.io/products/platform/cellular-iot-sim) - no trials carried out, also offer hardware solutions that could be an alternative to my Uno and Pi combination.\n\nNetwork | Monthly Data Packaage | Monthly Cost $\n------------ | -------------| -------------\nClaro | 500 MB | $9 \nBitel | 1 GB | $6\n<center>**Table 3 - Peru monthly Data Costs**</center>\n\n## Final Remarks\n\nI’m currently in the process of writing a build guide for WindAid, so they can continue the rollout of my Remote Monitors.  These guides will be open source and available for anyone to build, modify and change for other projects. If you enjoyed this article and would be interested in a build guide leave a comment. If you know of any organisation that is looking to implement such technology please share this article, and feel free to get in touch with me with any questions, and I’ll do my best to help with your project; <[email protected]>\n\n![12. Playa Blanca community.JPG](https://cdn.steemitimages.com/DQmSqwXerfwjZWoNnVNdPH655cde3Gy1ZmNocpypQTjY3RD/12.%20Playa%20Blanca%20community.JPG)\n<center>**Community and WindAid Institute team with 250W turbines in the background, Playa Blanca, Puira, Peru.**</center>\n\nWindAid Institute runs 10 programmes a year, where anyone with or without engineering experience can come and be fully immersed in hand building wind turbines from scratch, from resin injecting blades, to winding copper coils and creating permanent magnet rotors. So if you’re interested in getting hands-on experience on your CV, or you’re taking a sabbatical and looking to put your skill set to an impactful social programme, read more about [WindAid’s Light Up a Life programme here](http://windaid.org/light-up-a-life/).\n\nA special thanks to all the WindAid team, Darren Wallace for helping me develop the prototype from the UK, & Enginers without Borders UK and thier [international volunteer programme](https://www.ewb-uk.org/join-the-movement/volunteer-with-us/) that started the whole project and experience.\n\n<center>![13. author and remona.JPG](https://cdn.steemitimages.com/DQmYRQ1ms3MExsut2mARcyVhBPjreiSGXQtBxjuF4NKrgug/13.%20author%20and%20remona.JPG)</center>\nMe in the community workshop of Playa Blanca, and my ReMona unit in the background. I'm currently based in Spain and looking for new opportunities in the Renewable Energy Sector. Feel free to visit my [linkedIn profile](https://www.linkedin.com/in/stuart-llewellyn/) to find out more about my international work experience and my projects  saving  4MW off an industrial plants base load.",
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