IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i11p926-d82421.html
   My bibliography  Save this article

Modeling and Experimental Validation of a Low-Cost Radiation Sensor Based on the Photovoltaic Effect for Building Applications

Author

Listed:
  • Ángel Gómez-Moreno

    (Department of Mechanical and Mining Engineering, Escuela Politécnica Superior de Jaén, University of Jaén, Campus Las Lagunillas s/n, 23071 Jaén, Spain)

  • Pedro José Casanova-Peláez

    (Department of Electronic Engineering, Escuela Politécnica Superior de Jaén, University of Jaén, Campus Las Lagunillas s/n, 23071 Jaén, Spain)

  • José Manuel Palomar-Carnicero

    (Department of Mechanical and Mining Engineering, Escuela Politécnica Superior de Jaén, University of Jaén, Campus Las Lagunillas s/n, 23071 Jaén, Spain)

  • Fernando Cruz-Peragón

    (Department of Mechanical and Mining Engineering, Escuela Politécnica Superior de Jaén, University of Jaén, Campus Las Lagunillas s/n, 23071 Jaén, Spain)

Abstract

The energy consumed to cool buildings is very elevated and solar gains represent a high percentage of these cooling loads. To minimize the thermal load it is necessary to control external shading systems. This control requires continuous measurement of solar radiation in different locations of the building. However, for such applications the use of conventional irradiance sensors increases the cost and reduces the profitability of the installation. This paper is focused on the development, modeling, and experimental validation of low cost irradiation sensors based on photovoltaic effect in order to reduce the costs of dynamic external shading devices and to improve the profitability of the system. With this proposal, firstly, small commercial photovoltaic cells have been adapted for use as an irradiation measurement device. Subsequently, quasi-stationary and continuous experimental measurements of these silicon cells, facing south and installed horizontally, have been carried out in Jaén (Spain) in 2009 and 2010. Finally, a nonlinear multiparameter function has been developed to evaluate the irradiance using the electric current generated by the cell, cell temperature, ambient temperature, and absolute humidity. A favorable agreement between the model predictions and experimental data has been observed with a coefficient of determination around 0.996 for all cells.

Suggested Citation

  • Ángel Gómez-Moreno & Pedro José Casanova-Peláez & José Manuel Palomar-Carnicero & Fernando Cruz-Peragón, 2016. "Modeling and Experimental Validation of a Low-Cost Radiation Sensor Based on the Photovoltaic Effect for Building Applications," Energies, MDPI, vol. 9(11), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:11:p:926-:d:82421
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/11/926/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/9/11/926/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vincenzo Li Vigni & Damiano La Manna & Eleonora Riva Sanseverino & Vincenzo Di Dio & Pietro Romano & Pietro Di Buono & Maurizio Pinto & Rosario Miceli & Costantino Giaconia, 2015. "Proof of Concept of an Irradiance Estimation System for Reconfigurable Photovoltaic Arrays," Energies, MDPI, vol. 8(7), pages 1-17, June.
    2. Radhi, Hassan & Eltrapolsi, Ali & Sharples, Stephen, 2009. "Will energy regulations in the Gulf States make buildings more comfortable - A scoping study of residential buildings," Applied Energy, Elsevier, vol. 86(12), pages 2531-2539, December.
    3. Florides, G.A & Kalogirou, S.A & Tassou, S.A & Wrobel, L.C, 2000. "Modeling of the modern houses of Cyprus and energy consumption analysis," Energy, Elsevier, vol. 25(10), pages 915-937.
    4. Silvia Vilčeková & Monika Čuláková & Eva Krídlová Burdová & Jana Katunská, 2015. "Energy and Environmental Evaluation of Non-Transparent Constructions of Building Envelope for Wooden Houses," Energies, MDPI, vol. 8(10), pages 1-29, October.
    5. Myers, Daryl R., 2005. "Solar radiation modeling and measurements for renewable energy applications: data and model quality," Energy, Elsevier, vol. 30(9), pages 1517-1531.
    6. Muneer, T. & Younes, S. & Munawwar, S., 2007. "Discourses on solar radiation modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(4), pages 551-602, May.
    7. Datta, Gouri, 2001. "Effect of fixed horizontal louver shading devices on thermal perfomance of building by TRNSYS simulation," Renewable Energy, Elsevier, vol. 23(3), pages 497-507.
    8. Luay N. Dwaikat & Kherun N. Ali, 2016. "Measuring the Actual Energy Cost Performance of Green Buildings: A Test of the Earned Value Management Approach," Energies, MDPI, vol. 9(3), pages 1-20, March.
    9. Chan, Hoy-Yen & Riffat, Saffa B. & Zhu, Jie, 2010. "Review of passive solar heating and cooling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 781-789, February.
    10. Seok-Hyun Kim & Kyung-Ju Shin & Bo-Eun Choi & Jae-Hun Jo & Soo Cho & Young-Hum Cho, 2015. "A Study on the Variation of Heating and Cooling Load According to the Use of Horizontal Shading and Venetian Blinds in Office Buildings in Korea," Energies, MDPI, vol. 8(2), pages 1-18, February.
    11. Mohammadmehdi Seyedmahmoudian & Saad Mekhilef & Rasoul Rahmani & Rubiyah Yusof & Ehsan Taslimi Renani, 2013. "Analytical Modeling of Partially Shaded Photovoltaic Systems," Energies, MDPI, vol. 6(1), pages 1-17, January.
    12. Liu, Mingzhe & Wittchen, Kim Bjarne & Heiselberg, Per Kvols, 2015. "Control strategies for intelligent glazed façade and their influence on energy and comfort performance of office buildings in Denmark," Applied Energy, Elsevier, vol. 145(C), pages 43-51.
    13. Palmero-Marrero, Ana I. & Oliveira, Armando C., 2010. "Effect of louver shading devices on building energy requirements," Applied Energy, Elsevier, vol. 87(6), pages 2040-2049, June.
    14. Florides, G. A. & Tassou, S. A. & Kalogirou, S. A. & Wrobel, L. C., 2002. "Measures used to lower building energy consumption and their cost effectiveness," Applied Energy, Elsevier, vol. 73(3-4), pages 299-328, November.
    15. Ángel L. León & Samuel Domínguez & Miguel A. Campano & Cristina Ramírez-Balas, 2012. "Reducing the Energy Demand of Multi-Dwelling Units in a Mediterranean Climate Using Solar Protection Elements," Energies, MDPI, vol. 5(9), pages 1-27, September.
    16. Kuo-Tsang Huang & Kevin Fong-Rey Liu & Han-Hsi Liang, 2015. "Design and Energy Performance of a Buoyancy Driven Exterior Shading Device for Building Application in Taiwan," Energies, MDPI, vol. 8(4), pages 1-23, March.
    Full references (including those not matched with items on IDEAS)

    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. Stevanović, Sanja, 2013. "Optimization of passive solar design strategies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 177-196.
    2. Kirimtat, Ayca & Koyunbaba, Basak Kundakci & Chatzikonstantinou, Ioannis & Sariyildiz, Sevil, 2016. "Review of simulation modeling for shading devices in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 23-49.
    3. Danijela Nikolic & Slobodan Djordjevic & Jasmina Skerlic & Jasna Radulovic, 2020. "Energy Analyses of Serbian Buildings with Horizontal Overhangs: A Case Study," Energies, MDPI, vol. 13(17), pages 1-20, September.
    4. Wu, Yujie & Kämpf, Jérôme H. & Scartezzini, Jean-Louis, 2019. "Automated ‘Eye-sight’ Venetian blinds based on an embedded photometric device with real-time daylighting computing," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    5. Palmero-Marrero, Ana I. & Oliveira, Armando C., 2010. "Effect of louver shading devices on building energy requirements," Applied Energy, Elsevier, vol. 87(6), pages 2040-2049, June.
    6. Taveres-Cachat, Ellika & Lobaccaro, Gabriele & Goia, Francesco & Chaudhary, Gaurav, 2019. "A methodology to improve the performance of PV integrated shading devices using multi-objective optimization," Applied Energy, Elsevier, vol. 247(C), pages 731-744.
    7. Jesús-Ignacio Prieto & David García & Ruth Santoro, 2022. "Comparative Analysis of Accuracy, Simplicity and Generality of Temperature-Based Global Solar Radiation Models: Application to the Solar Map of Asturias," Sustainability, MDPI, vol. 14(11), pages 1-29, May.
    8. Byungyun Lee, 2019. "Heating, Cooling, and Lighting Energy Demand Simulation Analysis of Kinetic Shading Devices with Automatic Dimming Control for Asian Countries," Sustainability, MDPI, vol. 11(5), pages 1-20, February.
    9. Aiman Mohammed & Muhammad Atiq Ur Rehman Tariq & Anne Wai Man Ng & Zeeshan Zaheer & Safwan Sadeq & Mahmood Mohammed & Hooman Mehdizadeh-Rad, 2022. "Reducing the Cooling Loads of Buildings Using Shading Devices: A Case Study in Darwin," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    10. Omrany, Hossein & Ghaffarianhoseini, Ali & Ghaffarianhoseini, Amirhosein & Raahemifar, Kaamran & Tookey, John, 2016. "Application of passive wall systems for improving the energy efficiency in buildings: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1252-1269.
    11. Webb, Matthew & Aye, Lu & Green, Ray, 2018. "Simulation of a biomimetic façade using TRNSYS," Applied Energy, Elsevier, vol. 213(C), pages 670-694.
    12. Pacheco, R. & Ordóñez, J. & Martínez, G., 2012. "Energy efficient design of building: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3559-3573.
    13. Cristina Carletti & Fabio Sciurpi & Leone Pierangioli, 2014. "The Energy Upgrading of Existing Buildings: Window and Shading Device Typologies for Energy Efficiency Refurbishment," Sustainability, MDPI, vol. 6(8), pages 1-24, August.
    14. Kyung Sun Lee & Ki Jun Han & Jae Wook Lee, 2017. "The Impact of Shading Type and Azimuth Orientation on the Daylighting in a Classroom–Focusing on Effectiveness of Façade Shading, Comparing the Results of DA and UDI," Energies, MDPI, vol. 10(5), pages 1-20, May.
    15. Karunathilake, Hirushie & Hewage, Kasun & Sadiq, Rehan, 2018. "Opportunities and challenges in energy demand reduction for Canadian residential sector: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2005-2016.
    16. Younes, S. & Muneer, T., 2007. "Clear-sky classification procedures and models using a world-wide data-base," Applied Energy, Elsevier, vol. 84(6), pages 623-645, June.
    17. Freire, Roberto Zanetti & Mazuroski, Walter & Abadie, Marc Olivier & Mendes, Nathan, 2011. "Capacitive effect on the heat transfer through building glazing systems," Applied Energy, Elsevier, vol. 88(12), pages 4310-4319.
    18. Abdullah Khalid Abdullah & Abeer Darsaleh & Shaimaa Abdelbaqi & Maatouk Khoukhi, 2022. "Thermal Performance Evaluation of Window Shutters for Residential Buildings: A Case Study of Abu Dhabi, UAE," Energies, MDPI, vol. 15(16), pages 1-21, August.
    19. Mourshed, Monjur, 2011. "The impact of the projected changes in temperature on heating and cooling requirements in buildings in Dhaka, Bangladesh," Applied Energy, Elsevier, vol. 88(11), pages 3737-3746.
    20. Krstić-Furundžić, Aleksandra & Vujošević, Milica & Petrovski, Aleksandar, 2019. "Energy and environmental performance of the office building facade scenarios," Energy, Elsevier, vol. 183(C), pages 437-447.

    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:9:y:2016:i:11:p:926-:d:82421. 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.