IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i8p1890-d1376457.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/8/1890/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/8/1890/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Roldán-Blay, Carlos & Escrivá-Escrivá, Guillermo & Roldán-Porta, Carlos & Dasí-Crespo, Daniel, 2023. "Optimal sizing and design of renewable power plants in rural microgrids using multi-objective particle swarm optimization and branch and bound methods," Energy, Elsevier, vol. 284(C).
    2. Pedruzzi, Rizzieri & Silva, Allan Rodrigues & Soares dos Santos, Thalyta & Araujo, Allan Cavalcante & Cotta Weyll, Arthur Lúcide & Lago Kitagawa, Yasmin Kaore & Nunes da Silva Ramos, Diogo & Milani de, 2023. "Review of mapping analysis and complementarity between solar and wind energy sources," Energy, Elsevier, vol. 283(C).
    3. Zapata, Sebastian & Castaneda, Monica & Aristizabal, Andres J. & Dyner, Isaac, 2022. "Renewables for supporting supply adequacy in Colombia," Energy, Elsevier, vol. 239(PC).
    4. Fan, Jinyang & Liu, Wei & Jiang, Deyi & Chen, Junchao & Ngaha Tiedeu, William & Chen, Jie & JJK, Deaman, 2018. "Thermodynamic and applicability analysis of a hybrid CAES system using abandoned coal mine in China," Energy, Elsevier, vol. 157(C), pages 31-44.
    5. Liu, Hailiang & Andresen, Gorm Bruun & Greiner, Martin, 2018. "Cost-optimal design of a simplified highly renewable Chinese electricity network," Energy, Elsevier, vol. 147(C), pages 534-546.
    6. Da Liu & Shou-Kai Wang & Jin-Chen Liu & Han Huang & Xing-Ping Zhang & Yi Feng & Wei-Jun Wang, 2017. "Optimum Subsidy to Promote Electric Boiler Investment to Accommodate Wind Power," Sustainability, MDPI, vol. 9(6), pages 1-11, May.
    7. Yan Zhang & Quan Lyu & Yang Li & Na Zhang & Lijun Zheng & Haoyan Gong & Hui Sun, 2020. "Research on Down-Regulation Cost of Flexible Combined Heat Power Plants Participating in Real-Time Deep Down-Regulation Market," Energies, MDPI, vol. 13(4), pages 1-17, February.
    8. Liu, Hailiang & Brown, Tom & Andresen, Gorm Bruun & Schlachtberger, David P. & Greiner, Martin, 2019. "The role of hydro power, storage and transmission in the decarbonization of the Chinese power system," Applied Energy, Elsevier, vol. 239(C), pages 1308-1321.
    9. Zhang, Menglin & Wu, Qiuwei & Wen, Jinyu & Pan, Bo & Qi, Shiqiang, 2020. "Two-stage stochastic optimal operation of integrated electricity and heat system considering reserve of flexible devices and spatial-temporal correlation of wind power," Applied Energy, Elsevier, vol. 275(C).
    10. Huang, Jinbo & Li, Zhigang & Wu, Q.H., 2017. "Coordinated dispatch of electric power and district heating networks: A decentralized solution using optimality condition decomposition," Applied Energy, Elsevier, vol. 206(C), pages 1508-1522.
    11. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Wang, Jinda, 2018. "Effects of the operation regulation modes of district heating system on an integrated heat and power dispatch system for wind power integration," Applied Energy, Elsevier, vol. 230(C), pages 1126-1139.
    12. Ji, Huichao & Wang, Haixin & Yang, Junyou & Feng, Jiawei & Yang, Yongyue & Okoye, Martin Onyeka, 2021. "Optimal schedule of solid electric thermal storage considering consumer behavior characteristics in combined electricity and heat networks," Energy, Elsevier, vol. 234(C).
    13. Vasileios Kitsikoudis & Pierre Archambeau & Benjamin Dewals & Estanislao Pujades & Philippe Orban & Alain Dassargues & Michel Pirotton & Sebastien Erpicum, 2020. "Underground Pumped-Storage Hydropower (UPSH) at the Martelange Mine (Belgium): Underground Reservoir Hydraulics," Energies, MDPI, vol. 13(14), pages 1-16, July.
    14. Su, Yufei & Kern, Jordan D. & Characklis, Gregory W., 2017. "The impact of wind power growth and hydrological uncertainty on financial losses from oversupply events in hydropower-dominated systems," Applied Energy, Elsevier, vol. 194(C), pages 172-183.
    15. Zhao, Hongyan & Zhang, Qiang & Huo, Hong & Lin, Jintai & Liu, Zhu & Wang, Haikun & Guan, Dabo & He, Kebin, 2016. "Environment-economy tradeoff for Beijing–Tianjin–Hebei’s exports," Applied Energy, Elsevier, vol. 184(C), pages 926-935.
    16. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Wang, Jinda, 2018. "Integrated heat and power dispatch truly utilizing thermal inertia of district heating network for wind power integration," Applied Energy, Elsevier, vol. 211(C), pages 865-874.
    17. Yang, Dongfeng & Xu, Yang & Liu, Xiaojun & Jiang, Chao & Nie, Fanjie & Ran, Zixu, 2022. "Economic-emission dispatch problem in integrated electricity and heat system considering multi-energy demand response and carbon capture Technologies," Energy, Elsevier, vol. 253(C).
    18. Murugaperumal Krishnamoorthy & P. Ajay-D-Vimal Raj & N. P. Subramaniam & M. Sudhakaran & Arulselvi Ramasamy, 2023. "Design and Development of Optimal and Deep-Learning-Based Demand Response Technologies for Residential Hybrid Renewable Energy Management System," Sustainability, MDPI, vol. 15(18), pages 1-26, September.
    19. Chen, Hao & Chen, Jiachuan & Han, Guoyi & Cui, Qi, 2022. "Winding down the wind power curtailment in China: What made the difference?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    20. Hoicka, Christina E. & Lowitzsch, Jens & Brisbois, Marie Claire & Kumar, Ankit & Ramirez Camargo, Luis, 2021. "Implementing a just renewable energy transition: Policy advice for transposing the new European rules for renewable energy communities," Energy Policy, Elsevier, vol. 156(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:8:p:1890-:d:1376457. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.