IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v148y2020icp1137-1149.html
   My bibliography  Save this article

Significant decrease of photovoltaic power production by aerosols. The case of Santiago de Chile

Author

Listed:
  • Del Hoyo, Mirko
  • Rondanelli, Roberto
  • Escobar, Rodrigo

Abstract

Santiago de Chile frequently suffers from atmospheric pollution that contributes to the decrease of solar irradiance on the surface, leading to losses in the energy output of photovoltaic systems. In this study, a simple model is used to estimate the effect of aerosols on the solar irradiance over the city throughout the year, using as input AERONET sunphotometer data and other in-situ measurements. The results show reductions of 3.5% and 14.1% for global horizontal and direct normal irradiance respectively and an increase of 35.4% for diffuse horizontal irradiance between the actual condition in Santiago and a hypothetical atmosphere free of aerosols. These effects translate approximately to an annual difference in the energy output of −7.2% and −8.7% for monocrystalline and amorphous silicon PV technologies respectively, and an annual difference of −16.4% for a CPV technology, showing that aerosols can have a significant effect on the photovoltaic energy production.

Suggested Citation

  • Del Hoyo, Mirko & Rondanelli, Roberto & Escobar, Rodrigo, 2020. "Significant decrease of photovoltaic power production by aerosols. The case of Santiago de Chile," Renewable Energy, Elsevier, vol. 148(C), pages 1137-1149.
  • Handle: RePEc:eee:renene:v:148:y:2020:i:c:p:1137-1149
    DOI: 10.1016/j.renene.2019.10.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014811931496X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2019.10.005?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. Kaskaoutis, D.G. & Kambezidis, H.D., 2008. "The role of aerosol models of the SMARTS code in predicting the spectral direct-beam irradiance in an urban area," Renewable Energy, Elsevier, vol. 33(7), pages 1532-1543.
    2. Rojas, Redlich García & Alvarado, Natalia & Boland, John & Escobar, Rodrigo & Castillejo-Cuberos, Armando, 2019. "Diffuse fraction estimation using the BRL model and relationship of predictors under Chilean, Costa Rican and Australian climatic conditions," Renewable Energy, Elsevier, vol. 136(C), pages 1091-1106.
    3. Zurita, Adriana & Castillejo-Cuberos, Armando & García, Maurianny & Mata-Torres, Carlos & Simsek, Yeliz & García, Redlich & Antonanzas-Torres, Fernando & Escobar, Rodrigo A., 2018. "State of the art and future prospects for solar PV development in Chile," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 701-727.
    4. Reno, Matthew J. & Hansen, Clifford W., 2016. "Identification of periods of clear sky irradiance in time series of GHI measurements," Renewable Energy, Elsevier, vol. 90(C), pages 520-531.
    5. Ramírez-Sagner, Gonzalo & Mata-Torres, Carlos & Pino, Alan & Escobar, Rodrigo A., 2017. "Economic feasibility of residential and commercial PV technology: The Chilean case," Renewable Energy, Elsevier, vol. 111(C), pages 332-343.
    6. 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.
    7. 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.
    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. Herman-Czezuch, Anna & Mekeng, Armelle Zemo & Meilinger, Stefanie & Barry, James & Kimiaie, Nicola, 2022. "Impact of aerosols on photovoltaic energy production using a spectrally resolved model chain: Case study of southern West Africa," Renewable Energy, Elsevier, vol. 194(C), pages 321-333.
    2. Choi, Kelvin, Tsz Hei & Brindley, Helen & Ekins-Daukes, N. & Escobar, Rodrigo, 2021. "Developing automated methods to estimate spectrally resolved direct normal irradiance for solar energy applications," Renewable Energy, Elsevier, vol. 173(C), pages 1070-1086.
    3. Sadat, Seyyed Ali & Hoex, Bram & Pearce, Joshua M., 2022. "A Review of the Effects of Haze on Solar Photovoltaic Performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. Montané, M. & Ruiz-Valero, L. & Labra, C. & Faxas-Guzmán, J.G. & Girard, A., 2021. "Comparative energy consumption and photovoltaic economic analysis for residential buildings in Santiago de Chile and Santo Domingo of the Dominican Republic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    5. Song, Zhe & Liu, Jia & Yang, Hongxing, 2021. "Air pollution and soiling implications for solar photovoltaic power generation: A comprehensive review," Applied Energy, Elsevier, vol. 298(C).

    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. Castillejo-Cuberos, Armando & Escobar, Rodrigo, 2020. "Understanding solar resource variability: An in-depth analysis, using Chile as a case of study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    2. Nonnenmacher, Lukas & Kaur, Amanpreet & Coimbra, Carlos F.M., 2016. "Day-ahead resource forecasting for concentrated solar power integration," Renewable Energy, Elsevier, vol. 86(C), pages 866-876.
    3. Benkaciali, Saïd & Haddadi, Mourad & Khellaf, Abdellah, 2018. "Evaluation of direct solar irradiance from 18 broadband parametric models: Case of Algeria," Renewable Energy, Elsevier, vol. 125(C), pages 694-711.
    4. Vargas Gil, Gloria Milena & Bittencourt Aguiar Cunha, Rafael & Giuseppe Di Santo, Silvio & Machado Monaro, Renato & Fragoso Costa, Fabiano & Sguarezi Filho, Alfeu J., 2020. "Photovoltaic energy in South America: Current state and grid regulation for large-scale and distributed photovoltaic systems," Renewable Energy, Elsevier, vol. 162(C), pages 1307-1320.
    5. Simsek, Yeliz & Lorca, Álvaro & Urmee, Tania & Bahri, Parisa A. & Escobar, Rodrigo, 2019. "Review and assessment of energy policy developments in Chile," Energy Policy, Elsevier, vol. 127(C), pages 87-101.
    6. Nollas, Fernando M. & Salazar, German A. & Gueymard, Christian A., 2023. "Quality control procedure for 1-minute pyranometric measurements of global and shadowband-based diffuse solar irradiance," Renewable Energy, Elsevier, vol. 202(C), pages 40-55.
    7. Sadat, Seyyed Ali & Hoex, Bram & Pearce, Joshua M., 2022. "A Review of the Effects of Haze on Solar Photovoltaic Performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    8. Sun, Xixi & Bright, Jamie M. & Gueymard, Christian A. & Acord, Brendan & Wang, Peng & Engerer, Nicholas A., 2019. "Worldwide performance assessment of 75 global clear-sky irradiance models using Principal Component Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 550-570.
    9. Gueymard, Christian A. & Bright, Jamie M. & Lingfors, David & Habte, Aron & Sengupta, Manajit, 2019. "A posteriori clear-sky identification methods in solar irradiance time series: Review and preliminary validation using sky imagers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 412-427.
    10. Starke, Allan R. & Lemos, Leonardo F.L. & Boland, John & Cardemil, José M. & Colle, Sergio, 2018. "Resolution of the cloud enhancement problem for one-minute diffuse radiation prediction," Renewable Energy, Elsevier, vol. 125(C), pages 472-484.
    11. Psiloglou, B.E. & Kambezidis, H.D. & Kaskaoutis, D.G. & Karagiannis, D. & Polo, J.M., 2020. "Comparison between MRM simulations, CAMS and PVGIS databases with measured solar radiation components at the Methoni station, Greece," Renewable Energy, Elsevier, vol. 146(C), pages 1372-1391.
    12. Bertolini, Marina & D'Alpaos, Chiara & Moretto, Michele, 2018. "Do Smart Grids boost investments in domestic PV plants? Evidence from the Italian electricity market," Energy, Elsevier, vol. 149(C), pages 890-902.
    13. Rômulo de Oliveira Azevêdo & Paulo Rotela Junior & Luiz Célio Souza Rocha & Gianfranco Chicco & Giancarlo Aquila & Rogério Santana Peruchi, 2020. "Identification and Analysis of Impact Factors on the Economic Feasibility of Photovoltaic Energy Investments," Sustainability, MDPI, vol. 12(17), pages 1-40, September.
    14. Purohit, Ishan & Purohit, Pallav, 2018. "Performance assessment of grid-interactive solar photovoltaic projects under India’s national solar mission," Applied Energy, Elsevier, vol. 222(C), pages 25-41.
    15. Hussain, C.M. Iftekhar & Norton, Brian & Duffy, Aidan, 2017. "Technological assessment of different solar-biomass systems for hybrid power generation in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1115-1129.
    16. Armando Castillejo-Cuberos & José Miguel Cardemil & Rodrigo Escobar, 2021. "Analyzing Regional and Local Changes in Irradiance during the 2019 Total Solar Eclipse in Chile, Using Field Observations and Analytical Modeling," Energies, MDPI, vol. 14(17), pages 1-23, August.
    17. Amani, Madjid & Ghenaiet, Adel, 2020. "Novel hybridization of solar central receiver system with combined cycle power plant," Energy, Elsevier, vol. 201(C).
    18. Bright, Jamie M. & Sun, Xixi & Gueymard, Christian A. & Acord, Brendan & Wang, Peng & Engerer, Nicholas A., 2020. "Bright-Sun: A globally applicable 1-min irradiance clear-sky detection model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    19. Sun, Xixi & Bright, Jamie M. & Gueymard, Christian A. & Bai, Xinyu & Acord, Brendan & Wang, Peng, 2021. "Worldwide performance assessment of 95 direct and diffuse clear-sky irradiance models using principal component analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    20. Voyant, Cyril & Soubdhan, Ted & Lauret, Philippe & David, Mathieu & Muselli, Marc, 2015. "Statistical parameters as a means to a priori assess the accuracy of solar forecasting models," Energy, Elsevier, vol. 90(P1), pages 671-679.

    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:148:y:2020:i:c:p:1137-1149. 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.