Global atlas of solar and wind resources temporal complementarity
The concept of renewable energy sources complementarity has attracted the attention of researchers across the globe over recent years. Studies have been published regularly with focuses on aspects such as new metrics for complementarity assessment, the optimal operation of hybrid power systems based...
- Autores:
-
Kapica, Jacek
Canales, Fausto
Jurasz, Jakub
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8859
- Acceso en línea:
- https://hdl.handle.net/11323/8859
https://doi.org/10.1016/j.enconman.2021.114692
https://repositorio.cuc.edu.co/
- Palabra clave:
- Renewable energy
Variable renewables
Complementarity
Hybrid power systems
- Rights
- openAccess
- License
- CC0 1.0 Universal
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| dc.title.spa.fl_str_mv |
Global atlas of solar and wind resources temporal complementarity |
| title |
Global atlas of solar and wind resources temporal complementarity |
| spellingShingle |
Global atlas of solar and wind resources temporal complementarity Renewable energy Variable renewables Complementarity Hybrid power systems |
| title_short |
Global atlas of solar and wind resources temporal complementarity |
| title_full |
Global atlas of solar and wind resources temporal complementarity |
| title_fullStr |
Global atlas of solar and wind resources temporal complementarity |
| title_full_unstemmed |
Global atlas of solar and wind resources temporal complementarity |
| title_sort |
Global atlas of solar and wind resources temporal complementarity |
| dc.creator.fl_str_mv |
Kapica, Jacek Canales, Fausto Jurasz, Jakub |
| dc.contributor.author.spa.fl_str_mv |
Kapica, Jacek Canales, Fausto Jurasz, Jakub |
| dc.subject.spa.fl_str_mv |
Renewable energy Variable renewables Complementarity Hybrid power systems |
| topic |
Renewable energy Variable renewables Complementarity Hybrid power systems |
| description |
The concept of renewable energy sources complementarity has attracted the attention of researchers across the globe over recent years. Studies have been published regularly with focuses on aspects such as new metrics for complementarity assessment, the optimal operation of hybrid power systems based on variable renewables, or mapping resources complementarity in a specific region. This study targets the present literature gap, namely a lack of complementarity study covering explicitly the whole World, based on the same data source and methodology. The research employs Kendall’s Tau correlation as the complementarity metric between global solar and wind resources and a pair of indicators such as the solar share and a sizing coefficient usually applied in the domain of hybrid generators. This method allows to conduct a preliminary estimation of a solar and wind energy hybrid generator based on a daily demand of 1 kWh. The data series employed in this study come from NASA’s POWER Project Program, covering the years 2001–2020. This work provides an interesting insight into the global variability of the complementarity between these two variable energy sources. Significant findings of this paper include that Kendall’s Tau ranges between –0.75 and 0.75, in line with previous research for specific regions, thus providing a theoretical maximum for planning. Additionally, the results suggest that in most tropical and subtropical areas, the hybrid solar-wind generator should be dominated by the solar portion to minimize the variability of the total daily energy produced. |
| publishDate |
2021 |
| dc.date.accessioned.none.fl_str_mv |
2021-11-10T19:57:27Z |
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2021-11-10T19:57:27Z |
| dc.date.issued.none.fl_str_mv |
2021 |
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Pre-Publicación |
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http://purl.org/coar/resource_type/c_816b |
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0196-8904 |
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https://hdl.handle.net/11323/8859 |
| dc.identifier.doi.spa.fl_str_mv |
https://doi.org/10.1016/j.enconman.2021.114692 |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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0196-8904 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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https://hdl.handle.net/11323/8859 https://doi.org/10.1016/j.enconman.2021.114692 https://repositorio.cuc.edu.co/ |
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eng |
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eng |
| dc.relation.references.spa.fl_str_mv |
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The spatial and temporal variation features of wind-sun complementarity in China. Energy Convers Manag 2017;154:138–48. https://doi. org/10.1016/j.enconman.2017.10.031. [59] Han S, Zhang L, Liu Y, Zhang H, Yan J, Li L, et al. Quantitative evaluation method for the complementarity of wind-solar-hydro power and optimization of wind-solar ratio. Appl Energy 2019;236:973–84. https://doi.org/10.1016/j. apenergy.2018.12.059. [60] Kendall MG. Rank correlation methods. Oxford, England: Griffin; 1948. [61] van Doorn J, Ly A, Marsman M, Wagenmakers E-J. Bayesian Inference for Kendall’s Rank Correlation Coefficient. Am Stat 2018;72:303–8. https://doi.org/10.1080/ 00031305.2016.1264998. [62] Heide D, von Bremen L, Greiner M, Hoffmann C, Speckmann M, Bofinger S. Seasonal optimal mix of wind and solar power in a future, highly renewable Europe. Renew Energy 2010;35:2483–9. https://doi.org/10.1016/j. renene.2010.03.012. [63] Jurasz J, Beluco A, Canales FA. The impact of complementarity on power supply reliability of small scale hybrid energy systems. Energy 2018;161:737–43. https:// doi.org/10.1016/j.energy.2018.07.182. [64] Stackhouse Jr PW, Zhang T, Westberg D, Barnett AJ, Bristow T, Macpherson B, et al. POWER Release 8.0.1 (with GIS Applications) Methodology (Data Parameters, Sources, & Validation). Norfolk, VA: NASA Langley Research Center; 2018. [65] Chatzivasileiadis S, Ernst D, Andersson G. The Global Grid. Renew Energy 2013;57: 372–83. https://doi.org/10.1016/j.renene.2013.01.032. [66] Canales FA, Jurasz J, Beluco A, Kies A. Assessing temporal complementarity between three variable energy sources through correlation and compromise programming. Energy 2020;192:116637. https://doi.org/10.1016/j. energy.2019.116637. [67] Liu L, Wang Z, Wang Y, Wang J, Chang R, He G, et al. Optimizing wind/solar combinations at finer scales to mitigate renewable energy variability in China. Renew Sustain Energy Rev 2020;132:110151. https://doi.org/10.1016/j. rser.2020.110151. [68] Prasad AA, Taylor RA, Kay M. Assessment of solar and wind resource synergy in Australia. Appl Energy 2017;190:354–67. https://doi.org/10.1016/j. apenergy.2016.12.135. [69] Dupont E, Jeanmart H. Global potential of wind and solar energy with physical and energy return on investment (EROI) constraints; application at the European level (EU 28 countries). ECOS 2019 - Proc. 32nd Int. Conf. Effic. Cost, Optim. Simul. Environ. Impact Energy Syst., 2019, p. 489–503. |
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Kapica, JacekCanales, FaustoJurasz, Jakub2021-11-10T19:57:27Z2021-11-10T19:57:27Z20210196-8904https://hdl.handle.net/11323/8859https://doi.org/10.1016/j.enconman.2021.114692Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The concept of renewable energy sources complementarity has attracted the attention of researchers across the globe over recent years. Studies have been published regularly with focuses on aspects such as new metrics for complementarity assessment, the optimal operation of hybrid power systems based on variable renewables, or mapping resources complementarity in a specific region. This study targets the present literature gap, namely a lack of complementarity study covering explicitly the whole World, based on the same data source and methodology. The research employs Kendall’s Tau correlation as the complementarity metric between global solar and wind resources and a pair of indicators such as the solar share and a sizing coefficient usually applied in the domain of hybrid generators. This method allows to conduct a preliminary estimation of a solar and wind energy hybrid generator based on a daily demand of 1 kWh. The data series employed in this study come from NASA’s POWER Project Program, covering the years 2001–2020. This work provides an interesting insight into the global variability of the complementarity between these two variable energy sources. Significant findings of this paper include that Kendall’s Tau ranges between –0.75 and 0.75, in line with previous research for specific regions, thus providing a theoretical maximum for planning. Additionally, the results suggest that in most tropical and subtropical areas, the hybrid solar-wind generator should be dominated by the solar portion to minimize the variability of the total daily energy produced.Kapica, Jacek-will be generated-orcid-0000-0001-8378-0249-600Canales, Fausto-will be generated-orcid-0000-0002-6858-1855-600Jurasz, Jakubapplication/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Energy Conversion and Managementhttps://www.sciencedirect.com/science/article/pii/S0196890421008682?via%3DihubRenewable energyVariable renewablesComplementarityHybrid power systemsGlobal atlas of solar and wind resources temporal complementarityPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersion[1] Rogelj J, Den Elzen M, Hohne ¨ N, Fransen T, Fekete H, Winkler H, et al. 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