IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i9p2234-d165874.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/9/2234/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/9/2234/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bartolucci, Lorenzo & Cordiner, Stefano & Mulone, Vincenzo & Pasquale, Stefano, 2019. "Fuel cell based hybrid renewable energy systems for off-grid telecom stations: Data analysis and system optimization," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    2. Aryal, Kishor & Maraseni, Tek & Apan, Armando, 2023. "Examining policy−institution−program (PIP) responses against the drivers of ecosystem dynamics. A chronological review (1960–2020) from Nepal," Land Use Policy, Elsevier, vol. 132(C).
    3. Grzegorz Ślusarz & Barbara Gołębiewska & Marek Cierpiał-Wolan & Jarosław Gołębiewski & Dariusz Twaróg & Sebastian Wójcik, 2021. "Regional Diversification of Potential, Production and Efficiency of Use of Biogas and Biomass in Poland," Energies, MDPI, vol. 14(3), pages 1-20, January.
    4. Thomas Schmitt & Tobias Rodemann & Jürgen Adamy, 2021. "The Cost of Photovoltaic Forecasting Errors in Microgrid Control with Peak Pricing," Energies, MDPI, vol. 14(9), pages 1-13, April.
    5. Romero-Quete, David & Garcia, Javier Rosero, 2019. "An affine arithmetic-model predictive control approach for optimal economic dispatch of combined heat and power microgrids," Applied Energy, Elsevier, vol. 242(C), pages 1436-1447.
    6. Javier Felipe-Andreu & Antonio Valero & Alicia Valero, 2022. "Territorial Inequalities, Ecological and Material Footprints of the Energy Transition: Case Study of the Cantabrian-Mediterranean Bioregion," Land, MDPI, vol. 11(11), pages 1-22, October.
    7. Liangwen Yan & Fengfeng Qian & Wei Li, 2018. "Research on Key Parameters Operation Range of Central Air Conditioning Based on Binary K-Means and Apriori Algorithm," Energies, MDPI, vol. 12(1), pages 1-13, December.
    8. Mohammad Jafar Hadidian Moghaddam & Akhtar Kalam & Mohammad Reza Miveh & Amirreza Naderipour & Foad H. Gandoman & Ali Asghar Ghadimi & Zulkurnain Abdul-Malek, 2018. "Improved Voltage Unbalance and Harmonics Compensation Control Strategy for an Isolated Microgrid," Energies, MDPI, vol. 11(10), pages 1-26, October.
    9. Wang, Y. & Mauree, D. & Sun, Q. & Lin, H. & Scartezzini, J.L. & Wennersten, R., 2020. "A review of approaches to low-carbon transition of high-rise residential buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    10. Aamir Javed & José Alberto Fuinhas & Agnese Rapposelli, 2023. "Asymmetric Nexus between Green Technology Innovations, Economic Policy Uncertainty, and Environmental Sustainability: Evidence from Italy," Energies, MDPI, vol. 16(8), pages 1-20, April.
    11. Aldona Standar & Agnieszka Kozera & Łukasz Satoła, 2021. "The Importance of Local Investments Co-Financed by the European Union in the Field of Renewable Energy Sources in Rural Areas of Poland," Energies, MDPI, vol. 14(2), pages 1-23, January.
    12. Song, Yanwu & Zhang, Jinrui & Song, Yingkang & Fan, Xinran & Zhu, Yuqing & Zhang, Chen, 2020. "Can industry-university-research collaborative innovation efficiency reduce carbon emissions?," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    13. Àlex Alonso & Jordi de la Hoz & Helena Martín & Sergio Coronas & Pep Salas & José Matas, 2020. "A Comprehensive Model for the Design of a Microgrid under Regulatory Constraints Using Synthetical Data Generation and Stochastic Optimization," Energies, MDPI, vol. 13(21), pages 1-26, October.
    14. Vishnu Suresh & Przemyslaw Janik & Jacek Rezmer & Zbigniew Leonowicz, 2020. "Forecasting Solar PV Output Using Convolutional Neural Networks with a Sliding Window Algorithm," Energies, MDPI, vol. 13(3), pages 1-15, February.
    15. Taimoor Arif Kiani & Samina Sabir & Unbreen Qayyum & Sohail Anjum, 2023. "Estimating the effect of technological innovations on environmental degradation: empirical evidence from selected ASEAN and SAARC countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6529-6550, July.
    16. Moaniba, Igam M. & Su, Hsin-Ning & Lee, Pei-Chun, 2019. "On the drivers of innovation: Does the co-evolution of technological diversification and international collaboration matter?," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    17. Eva Lucas Segarra & Germán Ramos Ruiz & Vicente Gutiérrez González & Antonis Peppas & Carlos Fernández Bandera, 2020. "Impact Assessment for Building Energy Models Using Observed vs. Third-Party Weather Data Sets," Sustainability, MDPI, vol. 12(17), pages 1-27, August.
    18. Bartosz Jóźwik & Betül Altay Topcu & Mesut Doğan, 2024. "The Impact of Nuclear Energy Consumption, Green Technological Innovation, and Trade Openness on the Sustainable Environment in the USA," Energies, MDPI, vol. 17(15), pages 1-17, August.
    19. Vicente Gutiérrez González & Germán Ramos Ruiz & Carlos Fernández Bandera, 2021. "Impact of Actual Weather Datasets for Calibrating White-Box Building Energy Models Base on Monitored Data," Energies, MDPI, vol. 14(4), pages 1-16, February.
    20. Poolla, Chaitanya & Ishihara, Abraham K. & Milito, Rodolfo, 2019. "Designing near-optimal policies for energy management in a stochastic environment," Applied Energy, Elsevier, vol. 242(C), pages 1725-1737.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2234-:d:165874. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.