IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i23p9010-d986963.html
   My bibliography  Save this article

Site-Adaptation for Correcting Satellite-Derived Solar Irradiance: Performance Comparison between Various Regressive and Distribution Mapping Techniques for Application in Daejeon, South Korea

Author

Listed:
  • Elvina Faustina Dhata

    (New and Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea
    Energy Engineering, University of Science and Technology, Daejeon 34113, Republic of Korea)

  • Chang Ki Kim

    (New and Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea)

  • Hyun-Goo Kim

    (New and Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea)

  • Boyoung Kim

    (New and Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea)

  • Myeongchan Oh

    (New and Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea)

Abstract

Satellite-derived solar irradiance is advantageous in solar resource assessment due to its high spatiotemporal availability, but its discrepancies to ground-observed values remain an issue for reliability. Site adaptation can be employed to correct these errors by using short-term high-quality ground-observed values. Recent studies have highlighted the benefits of the sequential procedure of a regressive and a distribution-mapping technique in comparison to their individual counterparts. In this paper, we attempted to improve the sequential procedure by using various distribution mapping techniques in addition to the previously proposed quantile mapping. We applied these site-adaptation techniques on the global horizontal irradiance (GHI) and direct normal irradiance (DNI) obtained from the UASIBS-KIER model in Daejeon, South Korea. The best technique, determined by a ranking methodology, can reduce the mean bias from −5.04% and 13.51% to −0.45% and −2.02% for GHI and DNI, respectively, and improve distribution similarity by 2.5 times and 4 times for GHI and DNI, respectively. Partial regression and residual plot analysis were attempted to examine our finding that the sequential procedure is better than individual techniques for GHI, whereas the opposite is true for DNI. This is an initial study to achieve generalized site-adaptation techniques for the UASIBS-KIER model output.

Suggested Citation

  • Elvina Faustina Dhata & Chang Ki Kim & Hyun-Goo Kim & Boyoung Kim & Myeongchan Oh, 2022. "Site-Adaptation for Correcting Satellite-Derived Solar Irradiance: Performance Comparison between Various Regressive and Distribution Mapping Techniques for Application in Daejeon, South Korea," Energies, MDPI, vol. 15(23), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9010-:d:986963
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/23/9010/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/23/9010/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael C. Lovell, 1963. "Seasonal Adjustment of Economic Time Series and Multiple Regression," Cowles Foundation Discussion Papers 151, Cowles Foundation for Research in Economics, Yale University.
    2. Izadyar, Nima & Ong, Hwai Chyuan & Chong, W.T. & Leong, K.Y., 2016. "Resource assessment of the renewable energy potential for a remote area: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 908-923.
    3. YoungHyun Koo & Myeongchan Oh & Sung-Min Kim & Hyeong-Dong Park, 2020. "Estimation and Mapping of Solar Irradiance for Korea by Using COMS MI Satellite Images and an Artificial Neural Network Model," Energies, MDPI, vol. 13(2), pages 1-19, January.
    4. Polo, J. & Martín, L. & Vindel, J.M., 2015. "Correcting satellite derived DNI with systematic and seasonal deviations: Application to India," Renewable Energy, Elsevier, vol. 80(C), pages 238-243.
    5. Matthias Themeßl & Andreas Gobiet & Georg Heinrich, 2012. "Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal," Climatic Change, Springer, vol. 112(2), pages 449-468, May.
    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. Jason Allen & Robert Amano & David P. Byrne & Allan W. Gregory, 2009. "Canadian city housing prices and urban market segmentation," Canadian Journal of Economics, Canadian Economics Association, vol. 42(3), pages 1132-1149, August.
    2. Salem, Golam Saleh Ahmed & Kazama, So & Shahid, Shamsuddin & Dey, Nepal C., 2018. "Impacts of climate change on groundwater level and irrigation cost in a groundwater dependent irrigated region," Agricultural Water Management, Elsevier, vol. 208(C), pages 33-42.
    3. 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.
    4. Bardsen, G. & Klovland, J.T., 1990. "Finding The Rigth Nominal Anchor: The Cointegration Of Money, Credit And Nominal Income In Norway," The Warwick Economics Research Paper Series (TWERPS) 350, University of Warwick, Department of Economics.
    5. Juergen Bitzer & Erkan Goeren, 2018. "Foreign Aid and Subnational Development: A Grid Cell Analysis," Working Papers V-407-18, University of Oldenburg, Department of Economics, revised Mar 2018.
    6. Kulaksizoglu, Tamer, 2004. "Measuring the Effectiveness of Competition Policy: Evidence from the Turkish Cement Industry," MPRA Paper 357, University Library of Munich, Germany.
    7. Mark Gersovitz & James G. MacKinnon, 1977. "Seasonality in Regression: An Application of Smoothness Priors," Working Paper 257, Economics Department, Queen's University.
    8. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    9. V. Savo & K. E. Kohfeld & J. Sillmann & C. Morton & J. Bailey & A. S. Haslerud & C. Le Quéré & D. Lepofsky, 2024. "Using human observations with instrument-based metrics to understand changing rainfall patterns," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    10. Punys, Petras & Kasiulis, Egidijus & Kvaraciejus, Algis & Dumbrauskas, Antanas & Vyčienė, Gitana & Šilinis, Linas, 2017. "Impacts of the EU and national environmental legislation on tapping hydropower resources in Lithuania – A lowland country," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 495-504.
    11. Huizinga, Harry & Demirgüç-Kunt, Asli & Bertay, Ata, 2011. "Is the Financial Safety Net a Barrier to Cross-Border Banking?," CEPR Discussion Papers 8712, C.E.P.R. Discussion Papers.
    12. Mittag, Nikolas, 2012. "New methods to estimate models with large sets of fixed effects with an application to matched employer-employee data from Germany," FDZ Methodenreport 201201_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. repec:iab:iabfme:201201(en is not listed on IDEAS
    14. Manzano-Agugliaro, Francisco & Taher, Myriam & Zapata-Sierra, Antonio & Juaidi, Adel & Montoya, Francisco G., 2017. "An overview of research and energy evolution for small hydropower in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 476-489.
    15. Svend Hylleberg, 2006. "Seasonal Adjustment," Economics Working Papers 2006-04, Department of Economics and Business Economics, Aarhus University.
    16. Operacz, Agnieszka, 2017. "The term “effective hydropower potential” based on sustainable development – an initial case study of the Raba river in Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1453-1463.
    17. Weron, Rafał & Zator, Michał, 2014. "Revisiting the relationship between spot and futures prices in the Nord Pool electricity market," Energy Economics, Elsevier, vol. 44(C), pages 178-190.
    18. Minaeian, Ali & Sedaghat, Ahmad & Mostafaeipour, Ali & Akbar Alemrajabi, Ali, 2017. "Exploring economy of small communities and households by investing on harnessing wind energy in the province of Sistan-Baluchestan in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 835-847.
    19. Yang, Zhimin & Chai, Yi, 2016. "A survey of fault diagnosis for onshore grid-connected converter in wind energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 345-359.
    20. Bento, Antonio M. & Miller, Noah & Mookerjee, Mehreen & Severnini, Edson, 2023. "A unifying approach to measuring climate change impacts and adaptation," Journal of Environmental Economics and Management, Elsevier, vol. 121(C).
    21. He, J.Y. & Li, Q.S. & Chan, P.W. & Zhao, X.D., 2023. "Assessment of future wind resources under climate change using a multi-model and multi-method ensemble approach," Applied Energy, Elsevier, vol. 329(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:gam:jeners:v:15:y:2022:i:23:p:9010-:d:986963. 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.