Abstract
This paper describes the development of a weather station integrating several sensors which allows the measurement and data storage of the following environmental parameters: solar irradiance, temperature, humidity, wind speed, and wind direction. The collected data is later transferred to a mobile device, where it is stored in a database and processed in order to be visualized and analyzed by the user. For such purpose, a dedicated mobile app was developed and presented along the paper. The weather station also integrates small solar photovoltaic modules of three different technologies: polycrystalline, monocrystalline and amorphous silicon. Based on that, the weather station also collects information that may be employed to help the user in determining the most suitable solar photovoltaic technology for installation in a particular location. The developed system uses a Bluetooth Low Energy (BLE) wireless network to transfer the data to the mobile device when the user approaches the weather station. The system operation was validated through experimental tests that encompass all the main developed features, from the data acquisition in the weather station, to the visualization in the mobile device.
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References
Pazheri, F.R., Othman, M.F., Malik, N.H.: A review on global renewable electricity scenario. Renew. Sustain. Energy Rev. 31, 835–845 (2014)
Raza, M.Q., Nadarajah, M., Ekanayake, C.: On recent advances in PV output power forecast. Sol. Energy 136, 125–144 (2016)
Lo Piano, S., Mayumi, K.: Toward an integrated assessment of the performance of photovoltaic power stations for electricity generation. Appl. Energy 186, 167–174 (2017)
Nayak, P.K., Mahesh, S., Snaith, H.J., Cahen, D.: Photovoltaic solar cell technologies: analysing the state of the art. Nat. Rev. Mater. 4(4), 269–285 (2019)
Perraki, V., Kounavis, P.: Effect of temperature and radiation on the parameters of photovoltaic modules. J. Renew. Sustain. 8(2016), 013102 (2017)
Ranhotigamage, C., Mukhopadhyay, S.C.: Field trials and performance monitoring of distributed solar panels using a low-cost wireless sensors network for domestic applications. IEEE Sens. J. 11(10), 2583–2590 (2011)
Kovacs, A., Nicolcioiu, A., Arhip, J., Caşu, G.: Design and implementation of a GPRS remote data logger for weather forecasting. In: IEEE International Conference on Communication (2014)
Hortelano, D., Olivares, T., Ruiz, M.C., Garrido-Hidalgo, C., López, V.: From sensor networks to internet of things. Bluetooth low energy, a standard for this evolution. Sensors (Switzerland) 17(2), 1–31 (2017)
Hiertz, G.R., Denteneer, D., Stibor, L., Zang, Y., Costa, X.P., Walke, B.: The IEEE 802.11 universe. IEEE Commun. Mag. 48(1), 62–70 (2010)
Raza, U., Kulkarni, P., Sooriyabandara, M.: Low power wide area networks: an overview. IEEE Commun. Surv. Tutor. 19(2), 855–873 (2017)
Baronti, P., Pillai, P., Chook, V.W.C., Chessa, S., Gotta, A., Hu, Y.F.: Wireless sensor networks: a survey on the state of the art and the 802.15.4 and ZigBee standards. Comput. Commun. 30(7), 1655–1695 (2007)
Cypress Semiconductor: CY8CKIT-042-BLE-A Bluetooth Low Energy 4.2 Compliant Pioneer Kit. https://www.cypress.com/documentation/development-kitsboards/cy8ckit-042-ble-bluetooth-low-energy-42-compliant-pioneer-kit. Accessed 09 July 2019
Vishay Semiconductors: bpw34.pdf. https://www.vishay.com/docs/81521/bpw34.pdf. Accessed 09 July 2019
WaveShare: DHT22 Temperature-Humidity Sensor. https://www.waveshare.com/wiki/DHT22_Temperature-Humidity_Sensor
Ramsden, E.: Hall-Effect Sensors Theory and Application. Newnes, Oxford (2006)
Subudhi, B., Pradhan, R.: A comparative study on maximum power point tracking techniques for photovoltaic power systems. IEEE Trans. Sustain. Energy 4(1), 89–98 (2013)
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Salgado, J.A., Feio, M.C., Silva, L.M., Monteiro, V., Afonso, J.L., Afonso, J.A. (2020). Development of a Compact and Low-Cost Weather Station for Renewable Energy Applications. In: Afonso, J., Monteiro, V., Pinto, J. (eds) Sustainable Energy for Smart Cities. SESC 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-030-45694-8_10
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DOI: https://doi.org/10.1007/978-3-030-45694-8_10
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