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Temporal Complementarity Analysis of Wind and Solar Power Potential for Distributed Hybrid Electric Generation in Chile

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  • José Luis Muñoz-Pincheira

    (Faculty of Engineering, University of Concepción, Víctor Lamas 1290, Concepción 4030000, Chile
    Facultad de Ingeniería, Universidad Andres Bello, Autopista Concepción-Talcahuano 7100, Talcahuano 4260000, Chile)

  • Lautaro Salazar

    (Department of Electrical Engineering, Faculty of Engineering, University of Concepción, Concepción 4030000, Chile)

  • Felipe Sanhueza

    (Electrochemical Technologies and Green Energies Laboratory, Department of Materials Engineering, Faculty of Engineering, University of Concepcion, Edmundo Larenas 315, Concepción 4030000, Chile)

  • Armin Lüer-Villagra

    (Facultad de Ingeniería, Universidad Andres Bello, Autopista Concepción-Talcahuano 7100, Talcahuano 4260000, Chile)

Abstract

We evaluate the temporal complementarity in daily averages between wind and solar power potential in Chile using Spearman’s correlation coefficient. We used hourly wind speed and solar radiation data for 176 geographic points from 2004 to 2016. The results allow us to identify four zones: Zone A1 on the coast and in the valleys in the north of Chile between latitudes 18° S and 36° S, with moderate positive correlation; Zone A2 in the north Andes between latitudes 25° S and 33° S, with weak negative correlation; Zone B in the center-south part of the country between latitudes 36° S and 51° S with moderate negative correlation; and Zone C in the south, between latitudes 51° S and 55° S with null or weak positive correlation. On the one hand, the interannual analysis shows that Zone A1 keeps uniform correlation values with negative asymmetry, i.e., higher correlation values. On the other hand, there is positive asymmetry in most of the years in Zone A2, i.e., lower (or negative) values of correlation. Zone B shows an interannual oscillation of the median correlation, while Zone C shows a larger dispersion in the interannual results. Significance analysis shows that 163 out of the 176 points are statistically significant, while Zones A1, A2, and B have significant correlations, with Zone C being marginally significant. The results obtained are relevant information for further studies on the location of hybrid generation facilities. We expect our methodology to be instrumental in Chile’s energetic transition to a 100% renewable generation matrix.

Suggested Citation

  • José Luis Muñoz-Pincheira & Lautaro Salazar & Felipe Sanhueza & Armin Lüer-Villagra, 2024. "Temporal Complementarity Analysis of Wind and Solar Power Potential for Distributed Hybrid Electric Generation in Chile," Energies, MDPI, vol. 17(8), pages 1-23, April.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:8:p:1890-:d:1376457
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    References listed on IDEAS

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    1. Song, Xiaoling & Zhang, Huqing & Fan, Lurong & Zhang, Zhe & Peña-Mora, Feniosky, 2023. "Planning shared energy storage systems for the spatio-temporal coordination of multi-site renewable energy sources on the power generation side," Energy, Elsevier, vol. 282(C).
    2. Diana Cantor & Andrés Ochoa & Oscar Mesa, 2022. "Total Variation-Based Metrics for Assessing Complementarity in Energy Resources Time Series," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    3. Zhang, Ning & Lu, Xi & McElroy, Michael B. & Nielsen, Chris P. & Chen, Xinyu & Deng, Yu & Kang, Chongqing, 2016. "Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage," Applied Energy, Elsevier, vol. 184(C), pages 987-994.
    4. Ramirez Camargo, Luis & Valdes, Javier & Masip Macia, Yunesky & Dorner, Wolfgang, 2019. "Assessment of on-site steady electricity generation from hybrid renewable energy systems in Chile," Applied Energy, Elsevier, vol. 250(C), pages 1548-1558.
    5. Auguadra, Marco & Ribó-Pérez, David & Gómez-Navarro, Tomás, 2023. "Planning the deployment of energy storage systems to integrate high shares of renewables: The Spain case study," Energy, Elsevier, vol. 264(C).
    6. Cantão, Mauricio P. & Bessa, Marcelo R. & Bettega, Renê & Detzel, Daniel H.M. & Lima, João M., 2017. "Evaluation of hydro-wind complementarity in the Brazilian territory by means of correlation maps," Renewable Energy, Elsevier, vol. 101(C), pages 1215-1225.
    7. Takele Ferede Agajie & Ahmed Ali & Armand Fopah-Lele & Isaac Amoussou & Baseem Khan & Carmen Lilí Rodríguez Velasco & Emmanuel Tanyi, 2023. "A Comprehensive Review on Techno-Economic Analysis and Optimal Sizing of Hybrid Renewable Energy Sources with Energy Storage Systems," Energies, MDPI, vol. 16(2), pages 1-26, January.
    8. Erika Carvalho Nogueira & Rafael Cancella Morais & Amaro Olimpio Pereira, 2023. "Offshore Wind Power Potential in Brazil: Complementarity and Synergies," Energies, MDPI, vol. 16(16), pages 1-18, August.
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