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Data Source Sensitivity in Solar Radiation Typical Meteorological Year (TMY) for Five Different Regions of Brazil Cover

Data Source Sensitivity in Solar Radiation Typical Meteorological Year (TMY) for Five Different Regions of Brazil

Tellus
Volume 76 (2024): Issue 1
By: ,  ,  ,  ,   and    
Open Access
|Apr 2024
References

References

  1. ABSOLAR. 2023. https://www.absolar.org.br/mercado/infografico/.
    Search in Google ScholarBack to article
  2. Almeida, MAM and Vasconcellos, VN. 2019. Development of the typical meteorological year for the Copacabana INMET meteorological station in the city of Rio de Janeiro (in Portuguese), XV Brazilian and Latin American Thermal Comfort Meeting, João Pessoa, September, 2019.
    Search in Google ScholarBack to article
  3. ANEEL. 2023. National Electric Energy Agency statistics – open data – https://dadosabertos.aneel.gov.br/.
    Search in Google ScholarBack to article
  4. Bonini, VRB, Starke, AR, Lemos, LFL and Colle, S. 2022. IX Brazilian Solar Energy Congress – Florianópolis, Brazil (https://anaiscbens.emnuvens.com.br/cbens/issue/view/3).
    Search in Google ScholarBack to article
  5. Casagrande, MSG, Martins, FR, Rosário, NME, Lima, FJL, Goncalves, AR, Costa, RS, Zarzur, AM, Pes, MP and Pereira, EB. 2021. Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado. Remote Sensing, 13: 4527–4556. DOI: 10.3390/rs13224527
    Open DOISearch in Google ScholarBack to article
  6. Chan, AL, Chow, TT, Fong, SK and Lin, JZ. 2006. Generation of a typical meteorological year for Hong Kong. Energy Conversion and management, 47(1): 87–96. DOI: 10.1016/j.enconman.2005.02.010
    Open DOISearch in Google ScholarBack to article
  7. Finkelstein, JM and Schafer, RE. 1971. Improved goodness-of-fit tests. Biometrika, 58(3): 641–645. DOI: 10.1093/biomet/58.3.641
    Open DOISearch in Google ScholarBack to article
  8. Hall, IJ, Prairie, RR, Anderson, HE and Boes, EC. 1978. Generation of a typical meteorological year (No. SAND-78-1096C; CONF-780639-1). Albuquerque, NM, USA: Sandia Labs.
    Search in Google ScholarBack to article
  9. Huang, YJ, Su, F, Seo, D and Krarti, D. 2014. Development of 3012 IWEC2 weather files for international locations (RP-1477). ASHRAE Transactions, 120(1).
    Search in Google ScholarBack to article
  10. Huld, T, Paietta, E, Zangheri, P and Pascua, P. 2018. Assembling Typical Meteorological Year Data Sets for Building Energy Performance Using Reanalysis and Satellite-Based Data. Atmosphere, 9: 53. DOI: 10.3390/atmos9020053
    Open DOISearch in Google ScholarBack to article
  11. IEA. 2022. International Energy Agency, Renewables 2022, IEA License: CC BY 4.0, Paris https://www.iea.org/reports/renewables-2022 (accessed on May 9, 2023).
    Search in Google ScholarBack to article
  12. Luiz, EW, Martins, FR, Pereira, EB and Schuch, NJ. 2012. Determinação de um Ano Meteorológico Típico para Florianópolis SC, Determination of a Typical Meteorological Year for Florianópolis SC, V Brazilian Solar Energy Congress and V Latin American Conference of ISES – São Paulo, September 18 to 21, 2012.
    Search in Google ScholarBack to article
  13. Machado, RD, Bravo, G, Starke, A, Lemos, L and Colle, S. 2019. Generation of 441 typical meteorological year from INMET stations – Brazil, ISES SWC2019/SHC2019 Conference Proceedings. DOI: 10.18086/swc.2019.45.02
    Open DOISearch in Google ScholarBack to article
  14. Marion, W and Urban, K. 1995. User’s Manual for TMY2’s (Typical Meteorological Years) – NREL/TP-463-7668. DOI: 10.2172/87130
    Open DOISearch in Google ScholarBack to article
  15. Munõz Sabater, J. 2019. ERA5-Land hourly data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.e2161bac
    Open DOISearch in Google ScholarBack to article
  16. Pereira, EB, Martins, FR, Gonçalves, AR, Costa, RS, Lima, FL, Rüther, R, Abreu, SL, Tiepolo, GM, Pereira, SV and Souza, JG. 2017. Atlas brasileiro de energia solar. 2.ed. São José dos Campos: INPE, 2017. 80p. DOI: 10.34024/978851700089
    Open DOISearch in Google ScholarBack to article
  17. Skeiker, K. 2004. Generation of a typical meteorological year for Damascus zone using the Filkenstein–Schafer statistical method. Energy Conversion and Management, 45(1): 99–112. DOI: 10.1016/S0196-8904(03)00106-7
    Open DOISearch in Google ScholarBack to article
  18. Skeiker, K and Ghani, BA. 2009. A software tool for the creation of a typical meteorological year. Renewable Energy, 34(3): 544–554. DOI: 10.1016/j.renene.2008.05.046
    Open DOISearch in Google ScholarBack to article
  19. Su, F, Huang, J, Xu, T and Zhang, C. 2009. An evaluation of the effects of various parameter weights on typical meteorological years used for building energy simulation. Building Simulation, 2(1): 19–28. DOI: 10.1007/S12273-009-9106-3
    Open DOISearch in Google ScholarBack to article
  20. Wilcox, S and Marion, W. 2008. User’s manual for TMY3 data sets (Revised). Technical Report NREL/TP-581-43156. DOI: 10.2172/928611
    Open DOISearch in Google ScholarBack to article
DOI: https://doi.org/10.16993/tellusa.3261 | Journal eISSN: 3035-9554
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Language: English
Page range: 29 - 41
Submitted on: Nov 1, 2023
Accepted on: Mar 19, 2024
Published on: Apr 9, 2024
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
TMY,
Typical Meteorological Year,
Meteorological Data,
Solar Energy,
Solar Radiation

© 2024 Anna Tippett, André Rodrigues Gonçalves, Enio Bueno Pereira, Fernando Ramos Martins, Gilberto Fisch, Rodrigo Santos Costa, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 76 (2024): Issue 1
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