IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v190y2020ics0360544219321486.html
   My bibliography  Save this article

Typical Meteorological Year methodologies applied to solar spectral irradiance for PV applications

Author

Listed:
  • Polo, Jesús
  • Alonso-Abella, Miguel
  • Martín-Chivelet, Nuria
  • Alonso-Montesinos, Joaquín
  • López, Gabriel
  • Marzo, Aitor
  • Nofuentes, Gustavo
  • Vela-Barrionuevo, Nieves

Abstract

A Typical Meteorological Year (TMY) is frequently used in solar power for long-term energy yield analysis. Different approaches have been reported focusing on concentrating solar power or photovoltaic power plants that have established different relative contributions of the involved variables (mainly solar irradiance components and temperature) according to the application. For PV applications the estimation of the spectral gains and losses requires of on-site spectral measurements. Long-term analysis of the spectral influence on PV technologies has been performed for over seven years of measured spectral global tilted irradiance in Madrid. The experimental spectra were measured with an EKO spectroradiometer in the wavelength range of 300–1100 nm. The TMY methodology has been used to create a typical spectral year of global tilted irradiance that can be used for computing the spectral factor. This paper shows the different steps in applying the TMY methodology to spectral irradiance and the resulting spectral factors computed for seven different PV technologies. Thus, this approach can effectively be used to characterize the long-term spectral influence of PV technologies in a selected site.

Suggested Citation

  • Polo, Jesús & Alonso-Abella, Miguel & Martín-Chivelet, Nuria & Alonso-Montesinos, Joaquín & López, Gabriel & Marzo, Aitor & Nofuentes, Gustavo & Vela-Barrionuevo, Nieves, 2020. "Typical Meteorological Year methodologies applied to solar spectral irradiance for PV applications," Energy, Elsevier, vol. 190(C).
    • Handle: RePEc:eee:energy:v:190:y:2020:i:c:s0360544219321486
    DOI: 10.1016/j.energy.2019.116453
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219321486
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.116453?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. Nofuentes, Gustavo & de la Casa, Juan & Solís-Alemán, Ernesto M. & Fernández, Eduardo F., 2017. "Spectral impact on PV performance in mid-latitude sunny inland sites: Experimental vs. modelled results," Energy, Elsevier, vol. 141(C), pages 1857-1868.
    2. 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.
    3. Ana Maria Gracia Amillo & Thomas Huld & Paraskevi Vourlioti & Richard Müller & Matthew Norton, 2015. "Application of Satellite-Based Spectrally-Resolved Solar Radiation Data to PV Performance Studies," Energies, MDPI, vol. 8(5), pages 1-34, April.
    4. Marzo, Aitor & Ferrada, Pablo & Beiza, Felipe & Besson, Pierre & Alonso-Montesinos, Joaquín & Ballestrín, Jesús & Román, Roberto & Portillo, Carlos & Escobar, Rodrigo & Fuentealba, Edward, 2018. "Standard or local solar spectrum? Implications for solar technologies studies in the Atacama desert," Renewable Energy, Elsevier, vol. 127(C), pages 871-882.
    5. Alonso-Abella, M. & Chenlo, F. & Nofuentes, G. & Torres-Ramírez, M., 2014. "Analysis of spectral effects on the energy yield of different PV (photovoltaic) technologies: The case of four specific sites," Energy, Elsevier, vol. 67(C), pages 435-443.
    6. Nofuentes, G. & García-Domingo, B. & Muñoz, J.V. & Chenlo, F., 2014. "Analysis of the dependence of the spectral factor of some PV technologies on the solar spectrum distribution," Applied Energy, Elsevier, vol. 113(C), pages 302-309.
    7. Gueymard, Christian A., 2014. "A review of validation methodologies and statistical performance indicators for modeled solar radiation data: Towards a better bankability of solar projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1024-1034.
    8. Ohunakin, Olayinka S. & Adaramola, Muyiwa S. & Oyewola, Olanrewaju M. & Fagbenle, Richard O., 2013. "Generation of a typical meteorological year for north–east, Nigeria," Applied Energy, Elsevier, vol. 112(C), pages 152-159.
    9. Kulesza, Kinga, 2017. "Comparison of typical meteorological year and multi-year time series of solar conditions for Belsk, central Poland," Renewable Energy, Elsevier, vol. 113(C), pages 1135-1140.
    10. Murphy, Sean, 2017. "The construction of a modified Typical Meteorological Year for photovoltaic modeling in India," Renewable Energy, Elsevier, vol. 111(C), pages 447-454.
    11. Sirisamphanwong, Chattariya & Ketjoy, Nipon, 2012. "Impact of spectral irradiance distribution on the outdoor performance of photovoltaic system under Thai climatic conditions," Renewable Energy, Elsevier, vol. 38(1), pages 69-74.
    12. Petrakis, M. & Kambezidis, H.D. & Lykoudis, S. & Adamopoulos, A.D. & Kassomenos, P. & Michaelides, I.M. & Kalogirou, S.A. & Roditis, G. & Chrysis, I. & Hadjigianni, A., 1998. "Generation of a “typical meteorological year” for Nicosia, Cyprus," Renewable Energy, Elsevier, vol. 13(3), pages 381-388.
    13. Cabrera Reina, A. & Miralles-Cuevas, S. & Cornejo, L. & Pomares, L. & Polo, J. & Oller, I. & Malato, S., 2020. "The influence of location on solar photo-Fenton: Process performance, photoreactor scaling-up and treatment cost," Renewable Energy, Elsevier, vol. 145(C), pages 1890-1900.
    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. Eduardo Rodríguez & José M. Cardemil & Allan R. Starke & Rodrigo Escobar, 2022. "Modelling the Exergy of Solar Radiation: A Review," Energies, MDPI, vol. 15(4), pages 1-26, February.
    2. Simal, Noelia & Ballestrín, Jesús & Carra, Elena & Marzo, Aitor & Polo, Jesús & Barbero, Javier & Alonso-Montesinos, Joaquín & López, Gabriel, 2024. "Typical solar extinction year at Plataforma Solar de Almería (Spain). Application to thermoelectric solar tower plants," Energy, Elsevier, vol. 296(C).
    3. Dimitra Kouklaki & Stelios Kazadzis & Ioannis-Panagiotis Raptis & Kyriakoula Papachristopoulou & Ilias Fountoulakis & Kostas Eleftheratos, 2023. "Photovoltaic Spectral Responsivity and Efficiency under Different Aerosol Conditions," Energies, MDPI, vol. 16(18), pages 1-18, September.
    4. Neves, Luciano A. & Leite, Gabriel C. & MacKenzie, Roderick C.I. & Ferreira, Rafael A.M. & Porto, Matheus P., 2021. "A methodology to simulate solar cells electrical response using optical-electrical mathematical models and real solar spectra," Renewable Energy, Elsevier, vol. 164(C), pages 968-977.
    5. Neves, Guilherme & Vilela, Waldeir & Pereira, Enio & Yamasoe, Marcia & Nofuentes, Gustavo, 2021. "Spectral impact on PV in low-latitude sites: The case of southeastern Brazil," Renewable Energy, Elsevier, vol. 164(C), pages 1306-1319.
    6. Jahns, Christopher & Osinski, Paul & Weber, Christoph, 2023. "A statistical approach to modeling the variability between years in renewable infeed on energy system level," Energy, Elsevier, vol. 263(PA).

    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. Neves, Guilherme & Vilela, Waldeir & Pereira, Enio & Yamasoe, Marcia & Nofuentes, Gustavo, 2021. "Spectral impact on PV in low-latitude sites: The case of southeastern Brazil," Renewable Energy, Elsevier, vol. 164(C), pages 1306-1319.
    2. Kinsey, Geoffrey S. & Riedel-Lyngskær, Nicholas C. & Miguel, Alonso-Abella & Boyd, Matthew & Braga, Marília & Shou, Chunhui & Cordero, Raul R. & Duck, Benjamin C. & Fell, Christopher J. & Feron, Sarah, 2022. "Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide," Renewable Energy, Elsevier, vol. 196(C), pages 995-1016.
    3. Espinoza, R. & Muñoz-Cerón, E. & Aguilera, J. & de la Casa, J., 2019. "Feasibility evaluation of residential photovoltaic self-consumption projects in Peru," Renewable Energy, Elsevier, vol. 136(C), pages 414-427.
    4. 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.
    5. Nofuentes, Gustavo & de la Casa, Juan & Solís-Alemán, Ernesto M. & Fernández, Eduardo F., 2017. "Spectral impact on PV performance in mid-latitude sunny inland sites: Experimental vs. modelled results," Energy, Elsevier, vol. 141(C), pages 1857-1868.
    6. Daxini, Rajiv & Wu, Yupeng, 2024. "Review of methods to account for the solar spectral influence on photovoltaic device performance," Energy, Elsevier, vol. 286(C).
    7. Kulesza, Kinga, 2017. "Comparison of typical meteorological year and multi-year time series of solar conditions for Belsk, central Poland," Renewable Energy, Elsevier, vol. 113(C), pages 1135-1140.
    8. Conde, Luis A. & Angulo, José R. & Sevillano-Bendezú, Miguel Á. & Nofuentes, Gustavo & Töfflinger, Jan A. & de la Casa, Juan, 2021. "Spectral effects on the energy yield of various photovoltaic technologies in Lima (Peru)," Energy, Elsevier, vol. 223(C).
    9. Abreu, Edgar F.M. & Canhoto, Paulo & Prior, Victor & Melicio, R., 2018. "Solar resource assessment through long-term statistical analysis and typical data generation with different time resolutions using GHI measurements," Renewable Energy, Elsevier, vol. 127(C), pages 398-411.
    10. 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.
    11. 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.
    12. Wang, Meng & Peng, Jinqing & Luo, Yimo & Shen, Zhicheng & Yang, Hongxing, 2021. "Comparison of different simplistic prediction models for forecasting PV power output: Assessment with experimental measurements," Energy, Elsevier, vol. 224(C).
    13. Thomas Huld & Ana M. Gracia Amillo, 2015. "Estimating PV Module Performance over Large Geographical Regions: The Role of Irradiance, Air Temperature, Wind Speed and Solar Spectrum," Energies, MDPI, vol. 8(6), pages 1-23, June.
    14. Fernández, Eduardo F. & Almonacid, Florencia & Soria-Moya, Alberto & Terrados, Julio, 2015. "Experimental analysis of the spectral factor for quantifying the spectral influence on concentrator photovoltaic systems under real operating conditions," Energy, Elsevier, vol. 90(P2), pages 1878-1886.
    15. Tsung-En Hsieh & Bianca Fraincas & Keh-Chin Chang, 2023. "Generation of a Typical Meteorological Year for Global Solar Radiation in Taiwan," Energies, MDPI, vol. 16(7), pages 1-13, March.
    16. 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.
    17. Kumar, Manish & Chandel, S.S. & Kumar, Arun, 2020. "Performance analysis of a 10 MWp utility scale grid-connected canal-top photovoltaic power plant under Indian climatic conditions," Energy, Elsevier, vol. 204(C).
    18. Ana Maria Gracia Amillo & Thomas Huld & Paraskevi Vourlioti & Richard Müller & Matthew Norton, 2015. "Application of Satellite-Based Spectrally-Resolved Solar Radiation Data to PV Performance Studies," Energies, MDPI, vol. 8(5), pages 1-34, April.
    19. Sharma, Manoj Kumar & Bhattacharya, Jishnu, 2022. "Dependence of spectral factor on angle of incidence for monocrystalline silicon based photovoltaic solar panel," Renewable Energy, Elsevier, vol. 184(C), pages 820-829.
    20. Chong, Kok-Keong & Khlyabich, Petr P. & Hong, Kai-Jeat & Reyes-Martinez, Marcos & Rand, Barry P. & Loo, Yueh-Lin, 2016. "Comprehensive method for analyzing the power conversion efficiency of organic solar cells under different spectral irradiances considering both photonic and electrical characteristics," Applied Energy, Elsevier, vol. 180(C), pages 516-523.

    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:energy:v:190:y:2020:i:c:s0360544219321486. 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/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.