IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v161y2020icp559-569.html
   My bibliography  Save this article

Improvement of clear sky models for direct solar irradiance considering turbidity factor variable during the day

Author

Listed:
  • Moldovan, Camelia Liliana
  • Păltănea, Radu
  • Visa, Ion

Abstract

There are several clear sky models used to estimate the amount of received solar energy. Most of them rely on monthly constant turbidity factors which are site dependent. Comparing the results obtained with a clear sky model with data recorded in the period 2013–2016 in the Renewable Energy Systems and Recycling Research Centre in Brasov, Romania, resulted that the model overestimates in the warm season and underestimates in the cold season. To improve the clear sky model, time dependent interpolation polynomials are used instead of constant turbidity factor. Local direct solar irradiance measured each 10 min is used to create daily cubic spline functions using Schoenberg operator. These splines were used to obtain two interpolation polynomials for turbidity factor, for the warm and cold season respectively. The improved clear sky model forms were validated using the direct solar irradiance measured in 2017; the accuracy was improved by reducing the relative error from 8.12% to 4% in warm season and from 5.02% to 4.15% in cold season. As result, a better estimation of the received solar energy, with influence on the system design and financial benefits, is obtained. The methodology can be applied for any location with available measured data.

Suggested Citation

  • Moldovan, Camelia Liliana & Păltănea, Radu & Visa, Ion, 2020. "Improvement of clear sky models for direct solar irradiance considering turbidity factor variable during the day," Renewable Energy, Elsevier, vol. 161(C), pages 559-569.
    • Handle: RePEc:eee:renene:v:161:y:2020:i:c:p:559-569
    DOI: 10.1016/j.renene.2020.07.086
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120311629
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2020.07.086?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. Antonanzas-Torres, F. & Urraca, R. & Polo, J. & Perpiñán-Lamigueiro, O. & Escobar, R., 2019. "Clear sky solar irradiance models: A review of seventy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 374-387.
    2. Naspolini, Helena F. & Rüther, Ricardo, 2016. "The effect of measurement time resolution on the peak time power demand reduction potential of domestic solar hot water systems," Renewable Energy, Elsevier, vol. 88(C), pages 325-332.
    3. Badescu, Viorel & Gueymard, Christian A. & Cheval, Sorin & Oprea, Cristian & Baciu, Madalina & Dumitrescu, Alexandru & Iacobescu, Flavius & Milos, Ioan & Rada, Costel, 2013. "Accuracy analysis for fifty-four clear-sky solar radiation models using routine hourly global irradiance measurements in Romania," Renewable Energy, Elsevier, vol. 55(C), pages 85-103.
    4. Chang, Kai & Zhang, Qingyuan, 2019. "Improvement of the hourly global solar model and solar radiation for air-conditioning design in China," Renewable Energy, Elsevier, vol. 138(C), pages 1232-1238.
    5. Voyant, Cyril & Notton, Gilles & Kalogirou, Soteris & Nivet, Marie-Laure & Paoli, Christophe & Motte, Fabrice & Fouilloy, Alexis, 2017. "Machine learning methods for solar radiation forecasting: A review," Renewable Energy, Elsevier, vol. 105(C), pages 569-582.
    6. Kambezidis, H.D. & Psiloglou, B.E. & Karagiannis, D. & Dumka, U.C. & Kaskaoutis, D.G., 2016. "Recent improvements of the Meteorological Radiation Model for solar irradiance estimates under all-sky conditions," Renewable Energy, Elsevier, vol. 93(C), pages 142-158.
    7. Chwieduk, Dorota A., 2009. "Recommendation on modelling of solar energy incident on a building envelope," Renewable Energy, Elsevier, vol. 34(3), pages 736-741.
    8. Buonomano, A. & Forzano, C. & Kalogirou, S.A. & Palombo, A., 2019. "Building-façade integrated solar thermal collectors: Energy-economic performance and indoor comfort simulation model of a water based prototype for heating, cooling, and DHW production," Renewable Energy, Elsevier, vol. 137(C), pages 20-36.
    9. Agathokleous, Rafaela A. & Kalogirou, Soteris A. & Karellas, Sotirios, 2018. "Exergy analysis of a naturally ventilated Building Integrated Photovoltaic/Thermal (BIPV/T) system," Renewable Energy, Elsevier, vol. 128(PB), pages 541-552.
    10. Visa, Ion & Duta, Anca & Moldovan, Macedon, 2019. "Outdoor performance of a trapeze solar thermal collector for facades integration," Renewable Energy, Elsevier, vol. 137(C), pages 37-44.
    11. Agathokleous, Rafaela A. & Kalogirou, Soteris A., 2016. "Double skin facades (DSF) and building integrated photovoltaics (BIPV): A review of configurations and heat transfer characteristics," Renewable Energy, Elsevier, vol. 89(C), pages 743-756.
    12. Fatemi, Seyyed A. & Kuh, Anthony & Fripp, Matthias, 2016. "Online and batch methods for solar radiation forecast under asymmetric cost functions," Renewable Energy, Elsevier, vol. 91(C), pages 397-408.
    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. Chen, Shanlin & Li, Mengying, 2022. "Improved turbidity estimation from local meteorological data for solar resourcing and forecasting applications," Renewable Energy, Elsevier, vol. 189(C), pages 259-272.
    2. Tomin, Nikita & Shakirov, Vladislav & Kozlov, Aleksander & Sidorov, Denis & Kurbatsky, Victor & Rehtanz, Christian & Lora, Electo E.S., 2022. "Design and optimal energy management of community microgrids with flexible renewable energy sources," Renewable Energy, Elsevier, vol. 183(C), pages 903-921.

    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. Paulescu, Eugenia & Paulescu, Marius, 2021. "A new clear sky solar irradiance model," Renewable Energy, Elsevier, vol. 179(C), pages 2094-2103.
    2. Vassiliades, C. & Agathokleous, R. & Barone, G. & Forzano, C. & Giuzio, G.F. & Palombo, A. & Buonomano, A. & Kalogirou, S., 2022. "Building integration of active solar energy systems: A review of geometrical and architectural characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    3. Pedro, Hugo T.C. & Lim, Edwin & Coimbra, Carlos F.M., 2018. "A database infrastructure to implement real-time solar and wind power generation intra-hour forecasts," Renewable Energy, Elsevier, vol. 123(C), pages 513-525.
    4. Stephan Schlüter & Fabian Menz & Milena Kojić & Petar Mitić & Aida Hanić, 2022. "A Novel Approach to Generate Hourly Photovoltaic Power Scenarios," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    5. Mehrpooya, Mehdi & Ansarinasab, Hojat & Mousavi, Seyed Ali, 2021. "Life cycle assessment and exergoeconomic analysis of the multi-generation system based on fuel cell for methanol, power, and heat production," Renewable Energy, Elsevier, vol. 172(C), pages 1314-1332.
    6. 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).
    7. Alonso-Suárez, R. & David, M. & Branco, V. & Lauret, P., 2020. "Intra-day solar probabilistic forecasts including local short-term variability and satellite information," Renewable Energy, Elsevier, vol. 158(C), pages 554-573.
    8. Yagli, Gokhan Mert & Yang, Dazhi & Gandhi, Oktoviano & Srinivasan, Dipti, 2020. "Can we justify producing univariate machine-learning forecasts with satellite-derived solar irradiance?," Applied Energy, Elsevier, vol. 259(C).
    9. Qin, Wenmin & Wang, Lunche & Lin, Aiwen & Zhang, Ming & Xia, Xiangao & Hu, Bo & Niu, Zigeng, 2018. "Comparison of deterministic and data-driven models for solar radiation estimation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 579-594.
    10. Ruiz-Arias, José A., 2022. "Spectral integration of clear-sky atmospheric transmittance: Review and worldwide performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    11. Jiandong Liu & Yanbo Shen & Guangsheng Zhou & De-Li Liu & Qiang Yu & Jun Du, 2023. "Calibrating the Ångström–Prescott Model with Solar Radiation Data Collected over Long and Short Periods of Time over the Tibetan Plateau," Energies, MDPI, vol. 16(20), pages 1-16, October.
    12. Xu, Lijie & Ji, Jie & Cai, Jingyong & Ke, Wei & Tian, Xinyi & Yu, Bendong & Wang, Jun, 2021. "A hybrid PV thermal (water or air) wall system integrated with double air channel and phase change material: A continuous full-day seasonal experimental research," Renewable Energy, Elsevier, vol. 173(C), pages 596-613.
    13. Guosheng Duan & Lifeng Wu & Fa Liu & Yicheng Wang & Shaofei Wu, 2022. "Improvement in Solar-Radiation Forecasting Based on Evolutionary KNEA Method and Numerical Weather Prediction," Sustainability, MDPI, vol. 14(11), pages 1-20, June.
    14. Chen, Qi & Li, Xinyuan & Zhang, Zhengjia & Zhou, Chao & Guo, Zhiling & Liu, Zhengguang & Zhang, Haoran, 2023. "Remote sensing of photovoltaic scenarios: Techniques, applications and future directions," Applied Energy, Elsevier, vol. 333(C).
    15. Ruiz-Arias, José A., 2021. "Aerosol transmittance for clear-sky solar irradiance models: Review and validation of an accurate universal parameterization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    16. Tingting Zhu & Yiren Guo & Cong Wang & Chao Ni, 2020. "Inter-Hour Forecast of Solar Radiation Based on the Structural Equation Model and Ensemble Model," Energies, MDPI, vol. 13(17), pages 1-15, September.
    17. 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.
    18. Visa, Ion & Moldovan, Macedon & Duta, Anca, 2019. "Novel triangle flat plate solar thermal collector for facades integration," Renewable Energy, Elsevier, vol. 143(C), pages 252-262.
    19. Nunes Maciel, Joylan & Javier Gimenez Ledesma, Jorge & Hideo Ando Junior, Oswaldo, 2024. "Hybrid prediction method of solar irradiance applied to short-term photovoltaic energy generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    20. Barone, Giovanni & Buonomano, Annamaria & Forzano, Cesare & Giuzio, Giovanni Francesco & Palombo, Adolfo, 2020. "Passive and active performance assessment of building integrated hybrid solar photovoltaic/thermal collector prototypes: Energy, comfort, and economic analyses," Energy, Elsevier, vol. 209(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:161:y:2020:i:c:p:559-569. 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.