IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v184y2022icp948-959.html

The influence of extreme dust events in the current and future 100% renewable power scenarios in Tenerife

Author

Listed:
  • Cañadillas-Ramallo, David
  • Moutaoikil, Asmae
  • Shephard, Les E.
  • Guerrero-Lemus, Ricardo

Abstract

In this paper, the influence of dust and extreme dust events in the renewable energy generation in the island of Tenerife has been studied. Two different models have been proposed: one model to estimate the influence of atmospheric Particulate Matter (PM) in the Photovoltaic (PV) generation, and a second model that captures the influence of a set of weather and temporal variables, including PM, in the renewable generation of the island. Additionally, the hypothetic situation of extreme dust events occurring in a future 100% renewable electric system in the island of Tenerife is analyzed. Results show the interconnections between PM2.5, PM10 and wind resources on the present and future power output in the Island, and how the future storage capabilities need to take into account these events for a necessary increase in resilience related to climate change and related extreme weather events.

Suggested Citation

  • Cañadillas-Ramallo, David & Moutaoikil, Asmae & Shephard, Les E. & Guerrero-Lemus, Ricardo, 2022. "The influence of extreme dust events in the current and future 100% renewable power scenarios in Tenerife," Renewable Energy, Elsevier, vol. 184(C), pages 948-959.
    • Handle: RePEc:eee:renene:v:184:y:2022:i:c:p:948-959
    DOI: 10.1016/j.renene.2021.12.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812101733X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2021.12.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Amato T. Evan & Cyrille Flamant & Marco Gaetani & Françoise Guichard, 2016. "The past, present and future of African dust," Nature, Nature, vol. 531(7595), pages 493-495, March.
    2. Bailek, Nadjem & Bouchouicha, Kada & Hassan, Muhammed A. & Slimani, Abdeldjalil & Jamil, Basharat, 2020. "Implicit regression-based correlations to predict the back temperature of PV modules in the arid region of south Algeria," Renewable Energy, Elsevier, vol. 156(C), pages 57-67.
    3. Jufri, Fauzan Hanif & Widiputra, Victor & Jung, Jaesung, 2019. "State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies," Applied Energy, Elsevier, vol. 239(C), pages 1049-1065.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oladapo, Bankole I. & Olawumi, Mattew A. & Olugbade, Temitope Olumide & Ismail, Sikiru O., 2025. "Data analytics driving net zero tracker for renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    2. Henning Meschede & Paul Bertheau & Siavash Khalili & Christian Breyer, 2022. "A review of 100% renewable energy scenarios on islands," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(6), November.

    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. Yu, Min Gyung & Pavlak, Gregory S., 2023. "Risk-aware sizing and transactive control of building portfolios with thermal energy storage," Applied Energy, Elsevier, vol. 332(C).
    2. Youba Nait Belaid & Patrick Coudray & José Sanchez-Torres & Yi-Ping Fang & Zhiguo Zeng & Anne Barros, 2021. "Resilience Quantification of Smart Distribution Networks—A Bird’s Eye View Perspective," Energies, MDPI, vol. 14(10), pages 1-29, May.
    3. Yao He & Yongchun Yang & Meimei Wang & Xudong Zhang, 2022. "Resilience Analysis of Container Port Shipping Network Structure: The Case of China," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    4. Yan, Rundong & Dunnett, Sarah & Andrews, John, 2023. "A Petri net model-based resilience analysis of nuclear power plants under the threat of natural hazards," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    5. Gonçalves, Ana & Marques, Margarida Correia & Loureiro, Sílvia & Nieto, Raquel & Liberato, Margarida L.R., 2023. "Disruption risk analysis of the overhead power lines in Portugal," Energy, Elsevier, vol. 263(PA).
    6. Sang-Guk Yum & Kiyoung Son & Seunghyun Son & Ji-Myong Kim, 2020. "Identifying Risk Indicators for Natural Hazard-Related Power Outages as a Component of Risk Assessment: An Analysis Using Power Outage Data from Hurricane Irma," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    7. Popović, Željko N. & KovaÄ ki, Neven V. & Popović, Dragan S., 2020. "Resilient distribution network planning under the severe windstorms using a risk-based approach," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    8. Zhang, Xi & Tu, Haicheng & Guo, Jianbo & Ma, Shicong & Li, Zhen & Xia, Yongxiang & Tse, Chi Kong, 2021. "Braess paradox and double-loop optimization method to enhance power grid resilience," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    9. Chen, Lei & Jiang, Yuqi & Zheng, Shencong & Deng, Xinyi & Chen, Hongkun & Islam, Md. Rabiul, 2023. "A two-layer optimal configuration approach of energy storage systems for resilience enhancement of active distribution networks," Applied Energy, Elsevier, vol. 350(C).
    10. Dongyue Zhou & Xueping Pan & Xiaorong Sun & Funian Hu, 2025. "Resilience Assessment Framework for High-Penetration Renewable Energy Power System," Sustainability, MDPI, vol. 17(5), pages 1-20, February.
    11. Zeng, Zhiguo & Fang, Yi-Ping & Zhai, Qingqing & Du, Shijia, 2021. "A Markov reward process-based framework for resilience analysis of multistate energy systems under the threat of extreme events," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    12. Abubakr, Mohamed & Amein, Hamza & Akoush, Bassem M. & El-Bakry, M. Medhat & Hassan, Muhammed A., 2020. "An intuitive framework for optimizing energetic and exergetic performances of parabolic trough solar collectors operating with nanofluids," Renewable Energy, Elsevier, vol. 157(C), pages 130-149.
    13. Alain Aoun & Mehdi Adda & Adrian Ilinca & Mazen Ghandour & Hussein Ibrahim, 2024. "Centralized vs. Decentralized Electric Grid Resilience Analysis Using Leontief’s Input–Output Model," Energies, MDPI, vol. 17(6), pages 1-21, March.
    14. Amein, Hamza & Akoush, Bassem M. & El-Bakry, M. Medhat & Abubakr, Mohamed & Hassan, Muhammed A., 2022. "Enhancing the energy utilization in parabolic trough concentrators with cracked heat collection elements using a cost-effective rotation mechanism," Renewable Energy, Elsevier, vol. 181(C), pages 250-266.
    15. Thomas M. Missimer & James H. MacDonald & Seneshaw Tsegaye & Serge Thomas & Christopher M. Teaf & Douglas Covert & Zoie R. Kassis, 2024. "Natural Background and the Anthropogenic Enrichment of Mercury in the Southern Florida Environment: A Review with a Discussion on Public Health," IJERPH, MDPI, vol. 21(1), pages 1-44, January.
    16. Mishra, Sakshi & Anderson, Kate & Miller, Brian & Boyer, Kyle & Warren, Adam, 2020. "Microgrid resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies," Applied Energy, Elsevier, vol. 264(C).
    17. Khalilullah Mayar & David G. Carmichael & Xuesong Shen, 2022. "Resilience and Systems—A Review," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    18. Sara McElroy & Anna Dimitrova & Amato Evan & Tarik Benmarhnia, 2022. "Saharan Dust and Childhood Respiratory Symptoms in Benin," IJERPH, MDPI, vol. 19(8), pages 1-11, April.
    19. Liping Huang & Zhaoxiong Huang & Chun Sing Lai & Guangya Yang & Zhuoli Zhao & Ning Tong & Xiaomei Wu & Loi Lei Lai, 2021. "Augmented Power Dispatch for Resilient Operation through Controllable Series Compensation and N-1-1 Contingency Assessment," Energies, MDPI, vol. 14(16), pages 1-24, August.
    20. Ahmadi, Somayeh & Saboohi, Yadollah & Vakili, Ali, 2021. "Frameworks, quantitative indicators, characters, and modeling approaches to analysis of energy system resilience: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:renene:v:184:y:2022:i:c:p:948-959. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.