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Design, Development and Implementation of a Weather Station Prototype for Renewable Energy Systems

Author

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  • Carlos Morón

    (Departamento de Tecnologías de la Edificación, Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • Jorge Pablo Diaz

    (Departamento de Tecnologías de la Edificación, Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • Daniel Ferrández

    (Departamento de Tecnologías de la Edificación, Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • Pablo Saiz

    (Departamento de Economía Financiera, Contabilidad e Idioma Moderno, Universidad Rey Juan Carlos, 28032 Madrid, Spain)

Abstract

The production of energy at the global level is conditioned by the use of fossil fuels that have a great environmental impact. In the last decades, renewable energy production systems have been implemented, and networks of nearly zero-energy buildings have been created, with a consequent complexity in the design phase in order to optimize the results. In this way, electronic prototype development methods like the one that is proposed in this paper improve the tasks of design and modelling. Thus, a new weather station based on an Arduino platform has been developed to collect and store ambient temperature, relative humidity, barometric pressure, wind speed and air quality data, comparing the obtained data to those obtained using a validation station containing commercial sensors. The results show how the use of low cost Arduino sensors allow one to obtain similar values to those collected by more professional meteorological stations with insignificant scatter between both technologies.

Suggested Citation

  • Carlos Morón & Jorge Pablo Diaz & Daniel Ferrández & Pablo Saiz, 2018. "Design, Development and Implementation of a Weather Station Prototype for Renewable Energy Systems," Energies, MDPI, vol. 11(9), pages 1-13, August.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2234-:d:165874
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    References listed on IDEAS

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    1. Carlos Morón & Daniel Ferrández & Pablo Saiz & Gabriela Vega & Jorge Pablo Díaz, 2017. "New Prototype of Photovoltaic Solar Tracker Based on Arduino," Energies, MDPI, vol. 10(9), pages 1-13, August.
    2. Eguía Oller, Pablo & Alonso Rodríguez, José María & Saavedra González, Ángeles & Arce Fariña, Elena & Granada Álvarez, Enrique, 2018. "Improving the calibration of building simulation with interpolated weather datasets," Renewable Energy, Elsevier, vol. 122(C), pages 608-618.
    3. Wen-Jun Tang & Hong-Tzer Yang, 2018. "Data Mining and Neural Networks Based Self-Adaptive Protection Strategies for Distribution Systems with DGs and FCLs," Energies, MDPI, vol. 11(2), pages 1-13, February.
    4. Boehlert, Brent & Strzepek, Kenneth M. & Gebretsadik, Yohannes & Swanson, Richard & McCluskey, Alyssa & Neumann, James E. & McFarland, James & Martinich, Jeremy, 2016. "Climate change impacts and greenhouse gas mitigation effects on U.S. hydropower generation," Applied Energy, Elsevier, vol. 183(C), pages 1511-1519.
    5. Anoune, Kamal & Bouya, Mohsine & Astito, Abdelali & Abdellah, Abdellatif Ben, 2018. "Sizing methods and optimization techniques for PV-wind based hybrid renewable energy system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 652-673.
    6. Poggi, Francesca & Firmino, Ana & Amado, Miguel, 2018. "Planning renewable energy in rural areas: Impacts on occupation and land use," Energy, Elsevier, vol. 155(C), pages 630-640.
    7. Ana Ramos & Carlos Afonso Teixeira & Abel Rouboa, 2018. "Environmental Analysis of Waste-to-Energy—A Portuguese Case Study," Energies, MDPI, vol. 11(3), pages 1-26, March.
    8. Agüera-Pérez, Agustín & Palomares-Salas, José Carlos & González de la Rosa, Juan José & Florencias-Oliveros, Olivia, 2018. "Weather forecasts for microgrid energy management: Review, discussion and recommendations," Applied Energy, Elsevier, vol. 228(C), pages 265-278.
    9. Tae-Keun Oh & Donghwan Lee & Minsoo Park & Gichun Cha & Seunghee Park, 2018. "Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback," Energies, MDPI, vol. 11(7), pages 1-18, July.
    10. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Does innovation respond to climate change? Empirical evidence from patents and greenhouse gas emissions," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 49-62.
    11. Bartolucci, Lorenzo & Cordiner, Stefano & Mulone, Vincenzo & Rocco, Vittorio & Rossi, Joao Luis, 2018. "Hybrid renewable energy systems for renewable integration in microgrids: Influence of sizing on performance," Energy, Elsevier, vol. 152(C), pages 744-758.
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    Cited by:

    1. Kody T. Ponds & Ali Arefi & Ali Sayigh & Gerard Ledwich, 2018. "Aggregator of Demand Response for Renewable Integration and Customer Engagement: Strengths, Weaknesses, Opportunities, and Threats," Energies, MDPI, vol. 11(9), pages 1-20, September.

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