IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v90y2016icp105-113.html
   My bibliography  Save this article

Validation of a global horizontal irradiation assessment from a numerical weather prediction model in the south of Sonora–Mexico

Author

Listed:
  • Sosa-Tinoco, Ian
  • Peralta-Jaramillo, Juan
  • Otero-Casal, Carlos
  • López- Agüera, A.
  • Miguez-Macho, G.
  • Rodríguez-Cabo, I.

Abstract

The present work illustrates the methodology followed to generate a high spatial (9 km) and high temporal resolution (10 min) global solar irradiance assessment, based on a numerical weather prediction model, for the south of Sonora region in Mexico and its validation with observational data. At the same time a comparison with an ERA-Interim output data was performed in order to determine if downscaling was necessary. The methodology used starts with obtaining the mean radiation year in order to strongly reduce computational cost. Each day of the mean radiation year defines the initial and boundary conditions of the simulations. The simulation outputs were used to create the monthly and the annual irradiation maps. The grid cells are compared with the corresponding observation and the precision of the model is evaluated. The correlation of the model with the observation data is higher than 0.88. The rRMSE of the model during the fall and winter is observed to be lowered than 6.4%, but the rRMSE increases during the spring and summer. The results show that the downscaling using the configuration selected was correct.

Suggested Citation

  • Sosa-Tinoco, Ian & Peralta-Jaramillo, Juan & Otero-Casal, Carlos & López- Agüera, A. & Miguez-Macho, G. & Rodríguez-Cabo, I., 2016. "Validation of a global horizontal irradiation assessment from a numerical weather prediction model in the south of Sonora–Mexico," Renewable Energy, Elsevier, vol. 90(C), pages 105-113.
    • Handle: RePEc:eee:renene:v:90:y:2016:i:c:p:105-113
    DOI: 10.1016/j.renene.2015.12.055
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148115305590
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2015.12.055?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. repec:cup:cbooks:9781107005198 is not listed on IDEAS
    2. Ortega, Alberto & Escobar, Rodrigo & Colle, Sergio & de Abreu, Samuel Luna, 2010. "The state of solar energy resource assessment in Chile," Renewable Energy, Elsevier, vol. 35(11), pages 2514-2524.
    3. repec:cup:cbooks:9780521182935 is not listed on IDEAS
    4. Janjai, S. & Deeyai, P., 2009. "Comparison of methods for generating typical meteorological year using meteorological data from a tropical environment," Applied Energy, Elsevier, vol. 86(4), pages 528-537, April.
    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. Hideaki Ohtake & Fumichika Uno & Takashi Oozeki & Syugo Hayashi & Junshi Ito & Akihiro Hashimoto & Hiromasa Yoshimura & Yoshinori Yamada, 2019. "Solar Irradiance Forecasts by Mesoscale Numerical Weather Prediction Models with Different Horizontal Resolutions," Energies, MDPI, vol. 12(7), pages 1-17, April.

    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. Cui, Ying & Yan, Da & Hong, Tianzhen & Xiao, Chan & Luo, Xuan & Zhang, Qi, 2017. "Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China," Applied Energy, Elsevier, vol. 195(C), pages 890-904.
    2. Ramachandra, T.V. & Jain, Rishabh & Krishnadas, Gautham, 2011. "Hotspots of solar potential in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3178-3186, August.
    3. Ariadna Carrobé & Lídia Rincón & Ingrid Martorell, 2021. "Thermal Monitoring and Simulation of Earthen Buildings. A Review," Energies, MDPI, vol. 14(8), pages 1-47, April.
    4. Fernández, Ángel G. & Gomez-Vidal, Judith C., 2017. "Thermophysical properties of low cost lithium nitrate salts produced in northern Chile for thermal energy storage," Renewable Energy, Elsevier, vol. 101(C), pages 120-125.
    5. Furlan, Claudia & de Oliveira, Amauri Pereira & Soares, Jacyra & Codato, Georgia & Escobedo, João Francisco, 2012. "The role of clouds in improving the regression model for hourly values of diffuse solar radiation," Applied Energy, Elsevier, vol. 92(C), pages 240-254.
    6. Benghanem, M., 2009. "Measurement of meteorological data based on wireless data acquisition system monitoring," Applied Energy, Elsevier, vol. 86(12), pages 2651-2660, December.
    7. Corral, Nicolás & Anrique, Nicolás & Fernandes, Dalila & Parrado, Cristóbal & Cáceres, Gustavo, 2012. "Power, placement and LEC evaluation to install CSP plants in northern Chile," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6678-6685.
    8. Chan, A.L.S., 2016. "Generation of typical meteorological years using genetic algorithm for different energy systems," Renewable Energy, Elsevier, vol. 90(C), pages 1-13.
    9. Yuan, Jihui & Huang, Pei & Chai, Jiale, 2022. "Development of a calibrated typical meteorological year weather file in system design of zero-energy building for performance improvements," Energy, Elsevier, vol. 259(C).
    10. Vincenzo Costanzo & Gianpiero Evola & Marco Infantone & Luigi Marletta, 2020. "Updated Typical Weather Years for the Energy Simulation of Buildings in Mediterranean Climate. A Case Study for Sicily," Energies, MDPI, vol. 13(16), pages 1-24, August.
    11. Hanel, Matías & Escobar, Rodrigo, 2013. "Influence of solar energy resource assessment uncertainty in the levelized electricity cost of concentrated solar power plants in Chile," Renewable Energy, Elsevier, vol. 49(C), pages 96-100.
    12. Pusat, Saban & Ekmekçi, İsmail & Akkoyunlu, Mustafa Tahir, 2015. "Generation of typical meteorological year for different climates of Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 144-151.
    13. Cornejo, Lorena & Martín-Pomares, Luis & Alarcon, Diego & Blanco, Julián & Polo, Jesús, 2017. "A through analysis of solar irradiation measurements in the region of Arica Parinacota, Chile," Renewable Energy, Elsevier, vol. 112(C), pages 197-208.
    14. Escobar, Rodrigo A. & Cortés, Cristián & Pino, Alan & Pereira, Enio Bueno & Martins, Fernando Ramos & Cardemil, José Miguel, 2014. "Solar energy resource assessment in Chile: Satellite estimation and ground station measurements," Renewable Energy, Elsevier, vol. 71(C), pages 324-332.
    15. Parrado, C. & Marzo, A. & Fuentealba, E. & Fernández, A.G., 2016. "2050 LCOE improvement using new molten salts for thermal energy storage in CSP plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 505-514.
    16. Perini de Souza, Noele Bissoli & Sperandio Nascimento, Erick Giovani & Bandeira Santos, Alex Alisson & Moreira, Davidson Martins, 2022. "Wind mapping using the mesoscale WRF model in a tropical region of Brazil," Energy, Elsevier, vol. 240(C).
    17. Pedruzzi, Rizzieri & Silva, Allan Rodrigues & Soares dos Santos, Thalyta & Araujo, Allan Cavalcante & Cotta Weyll, Arthur Lúcide & Lago Kitagawa, Yasmin Kaore & Nunes da Silva Ramos, Diogo & Milani de, 2023. "Review of mapping analysis and complementarity between solar and wind energy sources," Energy, Elsevier, vol. 283(C).
    18. Oluwaseu Kilanko & Sunday O Oyedepo & Joseph O Dirisu & Richard O Leramo & Philip Babalola & Abraham K Aworinde & Mfon Udo & Alexander M Okonkwo & Marvelous I Akomolafe, 2023. "Typical meteorological year data analysis for optimal usage of energy systems at six selected locations in Nigeria," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 18, pages 637-658.
    19. Ceballos, Juan Carlos & Porfirio, Anthony Carlos Silva & Oricchio, Patricio Alberto & Posse, Gabriela, 2022. "Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL1.2 satellite-based data," Renewable Energy, Elsevier, vol. 194(C), pages 526-537.
    20. Fan, Xinying, 2022. "A method for the generation of typical meteorological year data using ensemble empirical mode decomposition for different climates of China and performance comparison analysis," Energy, Elsevier, vol. 240(C).

    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:eee:renene:v:90:y:2016:i:c:p:105-113. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.