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Big Earth Data Volume 7, 2023 - Issue 3: Emerging trends in big Earth data management and analysis
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Original Research Article

An interactive tool for visualization and prediction of solar radiation and photovoltaic generation in Colombia

Gabriel Narvaeza Department of Electrical and Electronic Engineering, Universidad de Los Andes, Bogotá, Colombia;b Laboratory for Analysis and Architecture of Systems, Toulouse, FranceCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9980-9456View further author information
ORCID Icon,
Luis Felipe Giraldoc Department of Biomedical Engineering, Universidad de Los Andes, Bogotá, ColombiaORCID Iconhttps://orcid.org/0000-0002-2492-4422View further author information
ORCID Icon,
Michael Bressana Department of Electrical and Electronic Engineering, Universidad de Los Andes, Bogotá, ColombiaORCID Iconhttps://orcid.org/0000-0002-5057-1958View further author information
ORCID Icon,
Camilo A. Guillena Department of Electrical and Electronic Engineering, Universidad de Los Andes, Bogotá, ColombiaView further author information
,
María A. Pabóna Department of Electrical and Electronic Engineering, Universidad de Los Andes, Bogotá, ColombiaView further author information
,
Nicolás Díaza Department of Electrical and Electronic Engineering, Universidad de Los Andes, Bogotá, ColombiaView further author information
,
Manuel Felipe Porrasa Department of Electrical and Electronic Engineering, Universidad de Los Andes, Bogotá, ColombiaView further author information
,
Brayan Herney Medinad Department of Systems Engineering, Corporacion Universitaria del Huila, Neiva, ColombiaView further author information
,
Fernando Jiméneza Department of Electrical and Electronic Engineering, Universidad de Los Andes, Bogotá, ColombiaORCID Iconhttps://orcid.org/0000-0002-1379-903XView further author information
ORCID Icon,
Guillermo Jiménez-Estéveza Department of Electrical and Electronic Engineering, Universidad de Los Andes, Bogotá, ColombiaORCID Iconhttps://orcid.org/0000-0002-8044-0713View further author information
ORCID Icon,
Andres Pantojae Department of Electronic Engineering, Universidad de Nariño, Pasto, ColombiaORCID Iconhttps://orcid.org/0000-0002-0196-3269View further author information
ORCID Icon &
Corinne Alonsob Laboratory for Analysis and Architecture of Systems, Toulouse, FranceORCID Iconhttps://orcid.org/0000-0003-2547-255XView further author information
ORCID Icon show all
Pages 904-929 | Received 19 Aug 2022, Accepted 15 Feb 2023, Published online: 19 Mar 2023

References

  • Abril, S. O., León, J. A. P., & Mendoza, J. O. G. (2021). Study of the benefit of solar energy through the management of photovoltaic systems in colombia. International Journal of Energy Economics and Policy, 11, 96. https://doi.org/10.32479/ijeep.10706
  • Boland, J., Ridley, B., & Brown, B. (2008). Models of diffuse solar radiation. Renewable Energy, 33, 575–584. https://doi.org/10.1016/j.renene.2007.04.012
  • Breunig, M. M., Kriegel, H. P., Ng, R. T., & Sander, J., 2000. Lof: Identifying density-based local outliers, in: Proceedings of the 2000 ACM SIGMOD international conference on Management of data, May 15 - 18, 2000. Dallas Texas, USA. (pp. 93–104). New York, NY, United States: Association for Computing Machinery.
  • Chilean Ministry of Energy. (2017). Explorador solar. Retrieved from http://solar.minenergia.cl/exploracion
  • CORDEX-SAT, 2020. Regional climate change simulations for cordex domains. URL: https://cordex.org/data-access/regional-climate-change-simulations-for-cordex-domains/.
  • De Soto, W., Klein, S. A., & Beckman, W. A. (2006). Improvement and validation of a model for photovoltaic array performance. Solar Energy, 80, 78–88. https://doi.org/10.1016/j.solener.2005.06.010
  • Dobos, A. P., 2014. Pvwatts version 5 manual. Technical Report. National Renewable Energy Lab.(NREL), CO (United States).
  • Enayati, M., Bozorg-Haddad, O., Bazrafshan, J., Hejabi, S., & Chu, X. (2021). Bias correction capabilities of quantile mapping methods for rainfall and temperature variables. Journal of Water and Climate Change, 12(2), 401–419. https://doi.org/10.2166/wcc.2020.261
  • European Comission.2020a. Data sources and calculation methods.
  • European Comission.2020b. Pvgis users manual. URL: https://ec.europa.eu/jrc/en/PVGIS/docs/usermanual.
  • European Commission Joint Research Centre. (2019). Photovoltaic Geographical Information System. URL. https://re.jrc.ec.europa.eu/pvg_tools/es/
  • Gaviria, J. F., Narváez, G., Guillen, C., Giraldo, L. F., & Bressan, M. (2022). Machine learning in photovoltaic systems: A review. Renewable Energy, 196, 298–318. https://doi.org/10.1016/j.renene.2022.06.105
  • Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A., da Silva, A. M., Gu, W. … Zhao, B. (2017). The modern-era retrospective analysis for research and applications, version 2 (merra-2). Journal of Climate, 30(14), 5419–5454. https://doi.org/10.1175/JCLI-D-16-0758.1
  • Giorgi, F., Coppola, E., Jacob, D., Teichmann, C., Abba Omar, S., Ashfaq, M., Ban, N., Bülow, K., Bukovsky, M., & Buntemeyer, L., et al. (2021). The cordex-core exp-I initiative: Description and highlight results from the initial analysis. Bulletin of the American Meteorological Society, 103(2), E293–E310.
  • Giorgi, F., Jones, C., & Asrar, G. R. (2009). Addressing climate information needs at the regional level: The cordex framework. World Meteorological Organization (WMO) Bulletin, 58(3), 175.
  • Institute of Hydrology, Meteorology and Environmental Studies, 2022. Atlas interactivo. URL: http://atlas.ideam.gov.co/visorAtlasRadiacion.html.
  • Jerez, S., Tobin, I., Vautard, R., Montávez, J. P., López-Romero, J. M., Thais, F., Bartok, B., Christensen, O. B., Colette, A., Déqué, M., Nikulin, G., Kotlarski, S., van Meijgaard, E., Teichmann, C., & Wild, M. (2015). The impact of climate change on photovoltaic power generation in europe. Nature Communications, 6(1), 1–8. https://doi.org/10.1038/ncomms10014
  • Li, D., Feng, J., Xu, Z., Yin, B., Shi, H., & Qi, J. (2019). Statistical bias correction for simulated wind speeds over cordex-east asia. Earth and Space Science, 6, 200–211. https://doi.org/10.1029/2018EA000493
  • Ministerio de Minas y Energía,Unidad de Planeación Minero Energética. ( UPME), 2014. UPME: https://www1.upme.gov.co/Documents/Cartilla_IGE_Incentivos_Tributarios_Ley1715.pdf
  • Miranda, E., Fierro, J. F. G., Narváez, G., Giraldo, L. F., & Bressan, M. (2021). Prediction of site-specific solar diffuse horizontal irradiance from two input variables in colombia. Heliyon, 7(12), e08602. https://doi.org/10.1016/j.heliyon.2021.e08602
  • Molina, A., Falvey, M., & Rondanelli, R. (2017). A solar radiation database for chile. Scientific Reports, 7, 14823. URL. https://doi.org/10.1038/s41598-017-13761-x.
  • Molina, A., & Martínez, F., 2017. Modelo de generación fotovoltaica. URL: http://solar.minenergia.cl/downloads/fotovoltaico.pdf.
  • Narvaez, G., Giraldo, L. F., Bressan, M., & Pantoja, A. (2021). Machine learning for site-adaptation and solar radiation forecasting. Renewable Energy, 167, 333–342. https://doi.org/10.1016/j.renene.2020.11.089
  • Narvaez, G., Giraldo, L. F., Bressan, M., & Pantoja, A. (2022). The impact of climate change on photovoltaic power potential in southwestern colombia. Heliyon, 8, e11122. https://doi.org/10.1016/j.heliyon.2022.e11122
  • Narvarte, L., & Lorenzo, E. (2008). Tracking and ground cover ratio. Progress in Photovoltaics: Research and Applications, 16, 703–714. https://doi.org/10.1002/pip.847
  • National Renewable Energy Laboratory, 2017. Solar PV AD-DC Translation. URL: https://atb.nrel.gov/electricity/2017/pv-ac-dc.html.
  • National Renewable Energy Laboratory, 2022. NSRDB Data Viewer. URL: https://maps.nrel.gov/nsrdb-viewer/.
  • Piani, C., Weedon, G., Best, M., Gomes, S., Viterbo, P., Hagemann, S., & Haerter, J. (2010). Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models. Journal of Hydrology, 395(3–4), 199–215. https://doi.org/10.1016/j.jhydrol.2010.10.024
  • Riahi, K., Rao, S., Krey, V., Cho, C., Chirkov, V., Fischer, G., Kindermann, G., Nakicenovic, N., & Rafaj, P. (2011). Rcp 8.5—a scenario of comparatively high greenhouse gas emissions. Climatic Change, 109(1–2), 33–57. https://doi.org/10.1007/s10584-011-0149-y
  • Sengupta, M., Xie, Y., Lopez, A., Habte, A., Maclaurin, G., & Shelby, J. (2018a). The national solar radiation data base (nsrdb). Renewable and Sustainable Energy Reviews, 89, 51–60. URL https://www.sciencedirect.com/science/article/pii/S136403211830087X
  • Sengupta, M., Xie, Y., Lopez, A., Habte, A., Maclaurin, G., & Shelby, J. (2018b). The national solar radiation data base (nsrdb). Renewable and Sustainable Energy Reviews, 89, 51–60. https://doi.org/10.1016/j.rser.2018.03.003
  • Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J. G., Duda, M. G., & Barker, D. M., et al. (2019). A description of the advanced research wrf model version 4 (Vol. 145). National Center for Atmospheric Research.
  • SOLARGIS, 2021. What can you do with solargis? URL: https://solargis.com/docs/getting-started/why-solargis.
  • Suri, M., Betak, J., Rosina, K., Chrkavy, D., Suriova, N., Cebecauer, T., Caltik, M., & Erdelyi, B., 2020. Global photovoltaic power potential by country. http://documents.worldbank.org/curated/en/466331592817725242/Global-Photovoltaic-Power-Potential-by-Country.
  • Su, X., Wang, L., Zhang, M., Qin, W., & Bilal, M. (2021). A high-precision aerosol retrieval algorithm (hipara) for advanced himawari imager (ahi) data: Development and verification. Remote sensing of environment, 253, 112221.
  • Teichmann, C., Jacob, D., Remedio, A. R., Remke, T., Buntemeyer, L., Hoffmann, P., Kriegsmann, A., Lierhammer, L., Bülow, K., Weber, T., Sieck, K., Rechid, D., Langendijk, G. S., Coppola, E., Giorgi, F., Ciarlo`, J. M., Raffaele, F., Giuliani, G., Xuejie, G. … Im, E. -S. (2021). Assessing mean climate change signals in the global cordex-core ensemble. Climate Dynamics, 57(5–6), 1269–1292. https://doi.org/10.1007/s00382-020-05494-x
  • Urraca, R., Gracia-Amillo, A. M., Koubli, E., Huld, T., Trentmann, J., Riihelä, A., Lindfors, A. V., Palmer, D., Gottschalg, R., & Antonanzas-Torres, F. (2017). Extensive validation of cm saf surface radiation products over europe. Remote Sensing of Environment, 199, 171–186. https://doi.org/10.1016/j.rse.2017.07.013
  • Van Vuuren, D. P., Stehfest, E., den Elzen, M. G., Kram, T., van Vliet, J., Deetman, S., Isaac, M., Goldewijk, K. K., Hof, A., Beltran, A. M., Oostenrijk, R., & van Ruijven, B. (2011). RCP2.6: Exploring the possibility to keep global mean temperature increase below 2°C. Climatic Change, 109(1–2), 95–116. https://doi.org/10.1007/s10584-011-0152-3
  • Wang, L., Gueymard, C. A., Bilal, M., Lin, A., Wei, J., Zhang, M., & Yang, X., et al (2020). Constructing a gridded direct normal irradiance dataset in china during 1981–2014. Renewable and Sustainable Energy Reviews, 131, 110004.
  • Wang, L., Kisi, O., Zounemat-Kermani, M., Salazar, G. A., Zhu, Z., & Gong, W. (2016). Solar radiation prediction using different techniques: Model evaluation and comparison. Renewable and Sustainable Energy Reviews, 61, 384–397.
  • The World Bank, 2017a. Global Solar Atlas. URL: https://globalsolaratlas.info/map.
  • The World Bank, 2017b. Global solar atlas - getting started.
  • Yu, L., Zhang, M., Wang, L., Qin, W., Jiang, D., & Li, J. (2022). Variability of surface solar radiation under clear skies over Qinghai-Tibet Plateau: Role of aerosols and water vapor. Atmospheric environment, 287, 119286.
  • Zhao, X., Huang, G., Lu, C., Zhou, X., & Li, Y. (2020). Impacts of climate change on photovoltaic energy potential: A case study of china. Applied Energy, 280, 115888. https://doi.org/10.1016/j.apenergy.2020.115888

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