An image processing‐based method to assess the monthly energetic complementarity of solar and wind energy in Colombia

Solar and wind energy systems, without storage, cannot satisfy variable load demands, but their combined use can help to solve the problem of the balance between generation and consumption. Energetic complementarity studies are useful to evaluate the viability of the use of two or more renewable ene...

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Autores:
Peña Gallardo, Rafael
Ospino Castro, Adalberto
Medina Ríos, Aurelio
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
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oai:repositorio.cuc.edu.co:11323/6576
Acceso en línea:
https://hdl.handle.net/11323/6576
https://repositorio.cuc.edu.co/
Palabra clave:
Energetic complementarity
Image processing algorithms
Resource maps
Solar energy
Wind energy
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openAccess
License
CC0 1.0 Universal
id RCUC2_c8e48ba468cbd63e0712d0c8adf6ce4e
oai_identifier_str oai:repositorio.cuc.edu.co:11323/6576
network_acronym_str RCUC2
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repository_id_str
dc.title.spa.fl_str_mv An image processing‐based method to assess the monthly energetic complementarity of solar and wind energy in Colombia
title An image processing‐based method to assess the monthly energetic complementarity of solar and wind energy in Colombia
spellingShingle An image processing‐based method to assess the monthly energetic complementarity of solar and wind energy in Colombia
Energetic complementarity
Image processing algorithms
Resource maps
Solar energy
Wind energy
title_short An image processing‐based method to assess the monthly energetic complementarity of solar and wind energy in Colombia
title_full An image processing‐based method to assess the monthly energetic complementarity of solar and wind energy in Colombia
title_fullStr An image processing‐based method to assess the monthly energetic complementarity of solar and wind energy in Colombia
title_full_unstemmed An image processing‐based method to assess the monthly energetic complementarity of solar and wind energy in Colombia
title_sort An image processing‐based method to assess the monthly energetic complementarity of solar and wind energy in Colombia
dc.creator.fl_str_mv Peña Gallardo, Rafael
Ospino Castro, Adalberto
Medina Ríos, Aurelio
dc.contributor.author.spa.fl_str_mv Peña Gallardo, Rafael
Ospino Castro, Adalberto
Medina Ríos, Aurelio
dc.subject.spa.fl_str_mv Energetic complementarity
Image processing algorithms
Resource maps
Solar energy
Wind energy
topic Energetic complementarity
Image processing algorithms
Resource maps
Solar energy
Wind energy
description Solar and wind energy systems, without storage, cannot satisfy variable load demands, but their combined use can help to solve the problem of the balance between generation and consumption. Energetic complementarity studies are useful to evaluate the viability of the use of two or more renewable energy sources with high variability in a specific interval of time in a determined region. In this paper, the monthly energetic complementarity study of solar and wind resources of Colombia is carried out. A novel approach to conduct the study is proposed. A dataset with the average monthly solar radiation and wind speed values is obtained from high‐resolution images of renewable resources maps, using image processing algorithms. Then, the dataset is used to calculate the energetic complementarity of the sources employing the negative of the Pearson correlation coefficient. The obtained values are transformed to energetic complementarity maps, previously eliminating the protected areas. The obtained results show that there is a good energetic complementarity in the north and northeastern regions of the country throughout the year. The results indicate that projects related to the joint use of solar and wind generation systems could be developed in these regions.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-07-16T15:22:56Z
dc.date.available.none.fl_str_mv 2020-07-16T15:22:56Z
dc.date.issued.none.fl_str_mv 2020-02-25
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.issn.spa.fl_str_mv 1996-1073
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/6576
dc.identifier.doi.spa.fl_str_mv doi:10.3390/en13051033
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 1996-1073
doi:10.3390/en13051033
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/6576
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
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2. Claudia Roldán, M.; Martínez, M.; Peña, R. Scenarios for a Hierarchical Assessment of the Global Sustainability of Electric Power Plants in México. Renew. Sustain. Energy Rev. 2014, 33, 154–160, doi:10.1016/j.rser.2014.02.007.
3. Wei, M.; Patadia, S.; Kammen, D.M. Putting Renewables and Energy Efficiency to Work: How Many Jobs Can the Clean Energy Industry Generate in the US? Energy Policy 2010, 38, 919–931, doi:10.1016/j.enpol.2009.10.044.
4. Ellabban, O.; Abu‐Rub, H.; Blaabjerg, F. Renewable Energy Resources: Current Status, Future Prospects and Their Enabling Technology. Renew. Sustain. Energy Rev. 2014, 39, 748–764, doi:10.1016/j.rser.2014.07.113.
5. Dincer, I. Renewable Energy and Sustainable Development: A Crucial Review. Renew. Sustain. Energy Rev. 2000, 4, 157–175, doi:10.1016/S1364‐0321(99)00011‐8.
6. Zsiborács, H.; Baranyai, N.H.; Vincze, A.; Zentkó, L.; Birkner, Z.; Máté, K.; Pintér, G. Intermittent Renewable Energy Sources: The Role of Energy Storage in the European Power System of 2040. Electronics 2019, 8, 729, doi:10.3390/electronics8070729.
7. Peña Gallardo, R.; Ospino Castro, A.; Segundo Ramirez, J.; Rodriguez Hernández, A.; Noriega Angarita, E.; Munoz Maldonado, Y.A. Economic and energy analysis of small capacity grid‐connected hybrid photovoltaic‐wind systems in Mexico. Int. J. Energy Econ. Policy 2020, 10, 7–17, doi:10.32479/ijeep.8449.
8. Pagola, V.; Peña, R.; Segundo, J.; Ospino, A. Rapid Prototyping of a Hybrid PV–Wind Generation System Implemented in a Real‐Time Digital Simulation Platform and Arduino. Electronics 2019, 8, 102, doi:10.3390/electronics8010102.
9. Jurasz, J.; Canales, F.A.; Kies, A.; Guezgouz, M.; Beluco, A. A Review on the Complementarity of Renewable Energy Sources: Concept, Metrics, Application and Future Research Directions. Sol. Energy 2020, 195, 703–724, doi:10.1016/j.solener.2019.11.087.
10. Bagatini, M.; Benevit, M.G.; Beluco, A.; Risso, A. Complementarity in Time between Hydro, Wind and Solar Energy Resources in the State of Rio Grande Do Sul, in Southern Brazil. Energy Power Eng. 2017, 9, 515–526, doi:10.4236/epe.2017.99036.
11. Beluco, A.; de Souza, P.K.; Krenzinger, A. A Dimensionless Index Evaluating the Time Complementarity between Solar and Hydraulic Energies. Renew. Energy 2008, 33, 2157–2165, doi:10.1016/j.renene.2008.01.019.
12. François, B.; Borga, M.; Creutin, J.D.; Hingray, B.; Raynaud, D.; Sauterleute, J.F. Complementarity between Solar and Hydro Power: Sensitivity Study to Climate Characteristics in Northern‐Italy. Renew. Energy 2016, 86, 543–553, doi:10.1016/j.renene.2015.08.044.
13. Monforti, F.; Huld, T.; Bódis, K.; Vitali, L.; D’Isidoro, M.; Lacal‐Arántegui, R. Assessing Complementarity of Wind and Solar Resources for Energy Production in Italy. A Monte Carlo Approach. Renew. Energy 2014, 63, 576–586, doi:10.1016/j.renene.2013.10.028.
14. Miglietta, M.M.; Huld, T.; Monforti‐Ferrario, F. Local Complementarity of Wind and Solar Energy Resources over Europe: An Assessment Study from a Meteorological Perspective. J. Appl. Meteorol. Climatol. 2017, 56, 217–234, doi:10.1175/jamc‐d‐16‐0031.1.
15. Beluco, A.; Kroeff de Souza, P.; Krenzinger, A. A Method to Evaluate the Effect of Complementarity in Time between Hydro and Solar Energy on the Performance of Hybrid Hydro PV Generating Plants. Renew. Energy 2012, 45, 24–30, doi:10.1016/j.renene.2012.01.096.
16. Stoyanov, L.; Notton, G.; Lazarov, V.; Ezzat, M. Wind and Solar Energies Production Complementarity for Various Bulgarian Sites. In Revue des Energies Renouvelables SMEE’10 Bou Ismail Tipaza 2010; Bou Ismail, Algeria, 2014; pp. 311–325.
17. Hoicka, C.E.; Rowlands, I.H. Solar and Wind Resource Complementarity: Advancing Options for Renewable Electricity Integration in Ontario, Canada. Renew. Energy 2011, 36, 97–107, doi:10.1016/j.renene.2010.06.004.
18. Kunwar, S. Complementarity of Wind, Solar and Hydro Resources for Combating Seasonal Power Shortage in Nepal. In Proceedings of the The 4th World Sustainability Forum, 1–30 November 2014; p. e018, doi:10.3390/wsf‐4‐e018.
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20. Xu, L.; Wang, Z.; Liu, Y. The Spatial and Temporal Variation Features of Wind‐Sun Complementarity in China. Energy Convers. Manag. 2017, 154, 138–148, doi:10.1016/j.enconman.2017.10.031.
21. Prasad, A.A.; Taylor, R.A.; Kay, M. Assessment of Solar and Wind Resource Synergy in Australia. Appl. Energy 2017, 190, 354–367, doi:10.1016/j.apenergy.2016.12.135.
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23. Shaner, M.R.; Davis, S.J.; Lewis, N.S.; Caldeira, K. Geophysical Constraints on the Reliability of Solar and Wind Power in the United States. Energy Environ. Sci. 2018, 11, 914–925, doi:10.1039/c7ee03029k.
24. Jurasz, J.; Dąbek, P.B.; Kaźmierczak, B.; Kies, A.; Wdowikowski, M. Large Scale Complementary Solar and Wind Energy Sources Coupled with Pumped‐Storage Hydroelectricity for Lower Silesia (Poland). Energy 2018, 161, 183–192, doi:10.1016/j.energy.2018.07.085.
25. Bett, P.E.; Thornton, H.E. The Climatological Relationships between Wind and Solar Energy Supply in Britain. Renew. Energy 2016, 87, 96–110, doi:10.1016/j.renene.2015.10.006.
26. Gburčik, V.; Mastilović, S.; Vučinić, Ž. Assessment of Solar and Wind Energy Resources in Serbia. J. Renew. Sustain. Energy 2013, 5, 041822, doi:10.1063/1.4819504.
27. Dos Anjos, P.S.; Alves Da Silva, A.S.; Stošić, B.; Stošić, T. Long‐Term Correlations and Cross‐Correlations in Wind Speed and Solar Radiation Temporal Series from Fernando de Noronha Island, Brazil. Phys. A Stat. Mech. Appl. 2015, 424, 90–96, doi:10.1016/j.physa.2015.01.003.
28. Li, W.; Stadler, S.; Ramakumar, R. Modeling and Assessment of Wind and Insolation Resources with a Focus on Their Complementary Nature: A Case Study of Oklahoma. Ann. Assoc. Am. Geogr. 2011, 101, 717–729, doi:10.1080/00045608.2011.567926.
29. Vergara, W.; Deeb, A.; Toba, N.; Cramton, P.; Leino, I.; Benoit, P. Wind Energy in Colombia: A Framework for Market Entry; World Bank: Washington, DC, USA, 2010; doi:10.1596/978‐0‐8213‐8504‐3.
30. Rodríguez‐Urrego, D.; Rodríguez‐Urrego, L. Photovoltaic Energy in Colombia: Current Status, Inventory, Policies and Future Prospects. Renew. Sustain. Energy Rev. 2018, 92, 160–170, doi:10.1016/j.rser.2018.04.065.
31. SIEL. Informe Mensual de Variables de Generación y del Mercado Electrico Colombiano‐Marzo de 2018; Ministry Minas y Energía: Bogota, Colombia, 2018.
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33. Paez, A.F.; Maldonado, Y.M.; Castro, A.O.; Hernandez, N.; Conde, E.; Pacheco, L.; Gonzalez, W.; Sotelo, O. Future Scenarios and Trends of Energy Demand in Colombia Using Long‐Range Energy Alternative Planning. Int. J. Energy Econ. Policy 2017, 7, 178–190.
34. Han, S.; Zhang, L.N; Liu, Y.Q.; Zhang, H.; Yan, J.; Li, L.; Lei, X.H.; Wang, X. Quantitative Evaluation Method for the Complementarity of Wind–Solar–Hydro Power and Optimization of Wind–Solar Ratio. Appl. Energy 2019, 236, 973–984, doi:10.1016/j.apenergy.2018.12.059.
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41. De la Cruz Buelvas, J.; Valencia Ochoa, G.; Vanegas Chamorro, M. Statistical Study of Wind Speed and Direction in the Departments of Atlántico and Bolivar in Colombia. Ingeniare 2018, 26, 319–328, doi:10.4067/S0718‐33052018000200319.
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44. UPME, IDEAM. Atlas de Viento y Enegía Eólica de Colombia; UPME‐IDEAM: Bogota, Colombia, 2010.
45. Hernandez, A.; Pena, R.; Mendez, W.; Visairo, N.; Nunez, C. Wind Resource Assessment in the Surroundings of San Luis Potosi, Mexico. In Proceedings of the 2013 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2013), Mexico City, Mexico, 13–15 November 2013; doi:10.1109/ROPEC.2013.6702748.
46. Canavire‐Bacarreza, G.; Diaz‐Gutierrez, J.E.; Hanauer, M.M. Unintended Consequences of Conservation: Estimating the Impact of Protected Areas on Violence in Colombia. J. Environ. Econ. Manag. 2018, 89, 46–70, doi:10.1016/j.jeem.2018.02.004.
47. Congreso de Colombia. Ley 165 de 1994—Por Medio de la Cual se Aprueba el “Convenio Sobre la Diversidad Biológica; Congreso de Colombia: Bogota, Colombia, 1994.
48. Lenis, Y.R. La Historia de Las Áreas Protegidas En Colombia, Sus Firmas de Gobierno y Las Alternativas Para La Gobernanza. Rev. Soc. Econ. 2014, 27, 155–175.
49. SINAP. Mapa SINAP—Sistema Nacional de Áreas Protegidas de Colombia; Sistema Nacional de Áreas Protegidas: Bogota, Colombia, 2018.
50. Peña Gallardo, R.; Ospino Castro, A. An Assessment Study of the Monthly Complementarity of Renewable Energy Resources in Colombia. In Proceedings of the 7th International Workshop Advances in Cleaner Production, Barranquilla, Colombia, 21–22 June 2018; pp. 1–11.
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spelling Peña Gallardo, Rafael28f1b9addfd74d20355f9353d97b4bb1Ospino Castro, Adalberto16afb3aa8a30b6421b4952faa2f6de4aMedina Ríos, Aurelio11c0d6ee1e6e0e92324b246d71f05fe72020-07-16T15:22:56Z2020-07-16T15:22:56Z2020-02-251996-1073https://hdl.handle.net/11323/6576doi:10.3390/en13051033Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Solar and wind energy systems, without storage, cannot satisfy variable load demands, but their combined use can help to solve the problem of the balance between generation and consumption. Energetic complementarity studies are useful to evaluate the viability of the use of two or more renewable energy sources with high variability in a specific interval of time in a determined region. In this paper, the monthly energetic complementarity study of solar and wind resources of Colombia is carried out. A novel approach to conduct the study is proposed. A dataset with the average monthly solar radiation and wind speed values is obtained from high‐resolution images of renewable resources maps, using image processing algorithms. Then, the dataset is used to calculate the energetic complementarity of the sources employing the negative of the Pearson correlation coefficient. The obtained values are transformed to energetic complementarity maps, previously eliminating the protected areas. The obtained results show that there is a good energetic complementarity in the north and northeastern regions of the country throughout the year. The results indicate that projects related to the joint use of solar and wind generation systems could be developed in these regions.engEnergiesCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Energetic complementarityImage processing algorithmsResource mapsSolar energyWind energyAn image processing‐based method to assess the monthly energetic complementarity of solar and wind energy in ColombiaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. Sorrell, S. Reducing Energy Demand: A Review of Issues, Challenges and Approaches. Renew. Sustain. Energy Rev. 2015, 47, 74–82, doi:10.1016/j.rser.2015.03.002.2. Claudia Roldán, M.; Martínez, M.; Peña, R. Scenarios for a Hierarchical Assessment of the Global Sustainability of Electric Power Plants in México. Renew. Sustain. Energy Rev. 2014, 33, 154–160, doi:10.1016/j.rser.2014.02.007.3. Wei, M.; Patadia, S.; Kammen, D.M. Putting Renewables and Energy Efficiency to Work: How Many Jobs Can the Clean Energy Industry Generate in the US? Energy Policy 2010, 38, 919–931, doi:10.1016/j.enpol.2009.10.044.4. Ellabban, O.; Abu‐Rub, H.; Blaabjerg, F. Renewable Energy Resources: Current Status, Future Prospects and Their Enabling Technology. Renew. Sustain. Energy Rev. 2014, 39, 748–764, doi:10.1016/j.rser.2014.07.113.5. Dincer, I. Renewable Energy and Sustainable Development: A Crucial Review. Renew. Sustain. Energy Rev. 2000, 4, 157–175, doi:10.1016/S1364‐0321(99)00011‐8.6. Zsiborács, H.; Baranyai, N.H.; Vincze, A.; Zentkó, L.; Birkner, Z.; Máté, K.; Pintér, G. Intermittent Renewable Energy Sources: The Role of Energy Storage in the European Power System of 2040. Electronics 2019, 8, 729, doi:10.3390/electronics8070729.7. Peña Gallardo, R.; Ospino Castro, A.; Segundo Ramirez, J.; Rodriguez Hernández, A.; Noriega Angarita, E.; Munoz Maldonado, Y.A. Economic and energy analysis of small capacity grid‐connected hybrid photovoltaic‐wind systems in Mexico. Int. J. Energy Econ. Policy 2020, 10, 7–17, doi:10.32479/ijeep.8449.8. Pagola, V.; Peña, R.; Segundo, J.; Ospino, A. Rapid Prototyping of a Hybrid PV–Wind Generation System Implemented in a Real‐Time Digital Simulation Platform and Arduino. Electronics 2019, 8, 102, doi:10.3390/electronics8010102.9. Jurasz, J.; Canales, F.A.; Kies, A.; Guezgouz, M.; Beluco, A. A Review on the Complementarity of Renewable Energy Sources: Concept, Metrics, Application and Future Research Directions. Sol. Energy 2020, 195, 703–724, doi:10.1016/j.solener.2019.11.087.10. Bagatini, M.; Benevit, M.G.; Beluco, A.; Risso, A. Complementarity in Time between Hydro, Wind and Solar Energy Resources in the State of Rio Grande Do Sul, in Southern Brazil. Energy Power Eng. 2017, 9, 515–526, doi:10.4236/epe.2017.99036.11. Beluco, A.; de Souza, P.K.; Krenzinger, A. A Dimensionless Index Evaluating the Time Complementarity between Solar and Hydraulic Energies. Renew. Energy 2008, 33, 2157–2165, doi:10.1016/j.renene.2008.01.019.12. François, B.; Borga, M.; Creutin, J.D.; Hingray, B.; Raynaud, D.; Sauterleute, J.F. Complementarity between Solar and Hydro Power: Sensitivity Study to Climate Characteristics in Northern‐Italy. Renew. Energy 2016, 86, 543–553, doi:10.1016/j.renene.2015.08.044.13. Monforti, F.; Huld, T.; Bódis, K.; Vitali, L.; D’Isidoro, M.; Lacal‐Arántegui, R. Assessing Complementarity of Wind and Solar Resources for Energy Production in Italy. A Monte Carlo Approach. Renew. Energy 2014, 63, 576–586, doi:10.1016/j.renene.2013.10.028.14. Miglietta, M.M.; Huld, T.; Monforti‐Ferrario, F. Local Complementarity of Wind and Solar Energy Resources over Europe: An Assessment Study from a Meteorological Perspective. J. Appl. Meteorol. Climatol. 2017, 56, 217–234, doi:10.1175/jamc‐d‐16‐0031.1.15. Beluco, A.; Kroeff de Souza, P.; Krenzinger, A. A Method to Evaluate the Effect of Complementarity in Time between Hydro and Solar Energy on the Performance of Hybrid Hydro PV Generating Plants. Renew. Energy 2012, 45, 24–30, doi:10.1016/j.renene.2012.01.096.16. Stoyanov, L.; Notton, G.; Lazarov, V.; Ezzat, M. Wind and Solar Energies Production Complementarity for Various Bulgarian Sites. In Revue des Energies Renouvelables SMEE’10 Bou Ismail Tipaza 2010; Bou Ismail, Algeria, 2014; pp. 311–325.17. Hoicka, C.E.; Rowlands, I.H. Solar and Wind Resource Complementarity: Advancing Options for Renewable Electricity Integration in Ontario, Canada. Renew. Energy 2011, 36, 97–107, doi:10.1016/j.renene.2010.06.004.18. Kunwar, S. 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