IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v256y2026ipfs0960148125020531.html

High-resolution dynamic modeling of ambient temperature and humidity for solar applications: A study from the Dead Sea Basin, Jordan

Author

Listed:
  • Al Shabaan, Ghadeer N.
  • Altarawneh, Ibrahem S.

Abstract

This study introduces a high-resolution polynomial method to model temperature and humidity in Karama near the Dead Sea, where extreme heat (>40 °C) and variable humidity (20–50 %) critically impact PV efficiency, sizing, and durability.

Suggested Citation

  • Al Shabaan, Ghadeer N. & Altarawneh, Ibrahem S., 2026. "High-resolution dynamic modeling of ambient temperature and humidity for solar applications: A study from the Dead Sea Basin, Jordan," Renewable Energy, Elsevier, vol. 256(PF).
    • Handle: RePEc:eee:renene:v:256:y:2026:i:pf:s0960148125020531
    DOI: 10.1016/j.renene.2025.124389
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125020531
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2025.124389?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. Wang, Zhenyu & Zhang, Yunpeng & Li, Guorong & Zhang, Jinlong & Zhou, Hai & Wu, Ji, 2024. "A novel solar irradiance forecasting method based on multi-physical process of atmosphere optics and LSTM-BP model," Renewable Energy, Elsevier, vol. 226(C).
    2. El-Nagar, Dina H. & Emam, Mohamed & El-Betar, A.A. & Nada, Sameh A., 2025. "Combining active and passive cooling techniques for maximizing power generation and thermal utilization of photovoltaic panels," Renewable Energy, Elsevier, vol. 250(C).
    3. Chanchangi, Yusuf N. & Ghosh, Aritra & Baig, Hasan & Sundaram, Senthilarasu & Mallick, Tapas K., 2021. "Soiling on PV performance influenced by weather parameters in Northern Nigeria," Renewable Energy, Elsevier, vol. 180(C), pages 874-892.
    4. Değirmenci, Deniz & Çubuk, Ertuğrul & Tarı, İlker & Selimoğlu, Özgür, 2025. "Cooling optimization for concentrating photovoltaic modules: A study of convective and radiative cooling with a focus on plate fin applications," Renewable Energy, Elsevier, vol. 247(C).
    5. Zhu, Leyang & Huang, Xiaoqiao & Zhang, Zongbin & Li, Chengli & Tai, Yonghang, 2025. "A novel U-LSTM-AFT model for hourly solar irradiance forecasting," Renewable Energy, Elsevier, vol. 238(C).
    6. Alain Aoun & Mehdi Adda & Adrian Ilinca & Mazen Ghandour & Hussein Ibrahim & Saba Salloum, 2024. "Efficient Modeling of Distributed Energy Resources’ Impact on Electric Grid Technical Losses: A Dynamic Regression Approach," Energies, MDPI, vol. 17(9), pages 1-28, April.
    7. Theocharides, Spyros & Makrides, George & Livera, Andreas & Theristis, Marios & Kaimakis, Paris & Georghiou, George E., 2020. "Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing," Applied Energy, Elsevier, vol. 268(C).
    8. Zhang, Xiaoyi & Liu, Yan & Li, Yanxue & Lv, Xiaoyu & Xiao, Fu & Gao, Weijun, 2024. "Analyzing variability and coordinated demand management for various flexible integrations of residential distributed energy resources," Renewable Energy, Elsevier, vol. 237(PA).
    9. Radziemska, E., 2003. "The effect of temperature on the power drop in crystalline silicon solar cells," Renewable Energy, Elsevier, vol. 28(1), pages 1-12.
    10. Ben hmamou, Dris & Elyaqouti, Mustapha & Achouch, Samia & Ydir, Brahim & Arjdal, El hanafi & Saadaoui, Driss & Ajdour, Amine & Lidaighbi, Souad & Choulli, Imade & Elhammoudy, Abdelfattah & Azami, Hafi, 2024. "Experimental characterization of photovoltaic systems using sensors based on MicroLab card: Design, implementation, and modeling," Renewable Energy, Elsevier, vol. 223(C).
    11. Louis Desportes & Inbar Fijalkow & Pierre Andry, 2021. "Deep Reinforcement Learning for Hybrid Energy Storage Systems: Balancing Lead and Hydrogen Storage," Energies, MDPI, vol. 14(15), pages 1-22, August.
    12. Kiran, & Arunachala, U.C. & Varun, K., 2024. "An open-loop and closed loop based passive thermal management techniques applicable to photovoltaic systems," Renewable Energy, Elsevier, vol. 236(C).
    13. Abdalrahman Alsulaili & Noor Aboramyah & Nasser Alenezi & Mohamad Alkhalidi, 2024. "Advancing Electricity Consumption Forecasts in Arid Climates through Machine Learning and Statistical Approaches," Sustainability, MDPI, vol. 16(15), pages 1-14, July.
    14. Fahad AlAmri & Gaydaa AlZohbi & Mohammed AlZahrani & Mohammed Aboulebdah, 2021. "Analytical Modeling and Optimization of a Heat Sink Design for Passive Cooling of Solar PV Panel," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    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. Li, Na & Zhen, Zhao & Wang, Fei, 2026. "Surface solar irradiance retrieval approach based on satellite band optimal combination and multi-spatial scale mapping," Renewable Energy, Elsevier, vol. 256(PD).
    2. Dou, Weijing & Wang, Kai & Shan, Shuo & Li, Chenxi & Wang, Yiye & Zhang, Kanjian & Wei, Haikun & Sreeram, Victor, 2024. "Day-ahead Numerical Weather Prediction solar irradiance correction using a clustering method based on weather conditions," Applied Energy, Elsevier, vol. 365(C).
    3. José Manuel Gámez Medina & Jorge de la Torre y Ramos & Francisco Eneldo López Monteagudo & Leticia del Carmen Ríos Rodríguez & Diego Esparza & Jesús Manuel Rivas & Leonel Ruvalcaba Arredondo & Alejand, 2022. "Power Factor Prediction in Three Phase Electrical Power Systems Using Machine Learning," Sustainability, MDPI, vol. 14(15), pages 1-14, July.
    4. Alkharusi, Tarik & Huang, Gan & Markides, Christos N., 2024. "Characterisation of soiling on glass surfaces and their impact on optical and solar photovoltaic performance," Renewable Energy, Elsevier, vol. 220(C).
    5. Antonesi, Gabriel & Cioara, Tudor & Anghel, Ionut & Michalakopoulos, Vasilis & Sarmas, Elissaios & Toderean, Liana, 2025. "A systematic review of transformers and large language models in the energy sector: towards agentic digital twins," Applied Energy, Elsevier, vol. 401(PA).
    6. Basem, Ali & Alhuyi Nazari, Mohammad & Mehrabi, Ali & Ahmadi, Mohammad Hossein & Atamurotov, Farruh, 2024. "Effect of applying serpentine channels and hybrid nanofluid for thermal management of photovoltaic cell: Numerical simulation, ANN and sensitivity analysis," Renewable Energy, Elsevier, vol. 232(C).
    7. Li, Zhenpeng & Ma, Tao & Zhao, Jiaxin & Song, Aotian & Cheng, Yuanda, 2019. "Experimental study and performance analysis on solar photovoltaic panel integrated with phase change material," Energy, Elsevier, vol. 178(C), pages 471-486.
    8. Al-Amri, Fahad & Saeed, Farooq & Mujeebu, Muhammad Abdul, 2022. "Novel dual-function racking structure for passive cooling of solar PV panels –thermal performance analysis," Renewable Energy, Elsevier, vol. 198(C), pages 100-113.
    9. Zang, Haixiang & Li, Wenan & Cheng, Lilin & Liu, Jingxuan & Wei, Zhinong & Sun, Guoqiang, 2025. "Short-term multi-site solar irradiance prediction with dynamic-graph-convolution-based spatial-temporal correlation capturing," Renewable Energy, Elsevier, vol. 246(C).
    10. Omar Al-Ani & Sanjoy Das, 2022. "Reinforcement Learning: Theory and Applications in HEMS," Energies, MDPI, vol. 15(17), pages 1-37, September.
    11. Zheng, Lingwei & Su, Ran & Sun, Xinyu & Guo, Siqi, 2023. "Historical PV-output characteristic extraction based weather-type classification strategy and its forecasting method for the day-ahead prediction of PV output," Energy, Elsevier, vol. 271(C).
    12. Sargunanathan, S. & Elango, A. & Mohideen, S. Tharves, 2016. "Performance enhancement of solar photovoltaic cells using effective cooling methods: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 382-393.
    13. Kahoul, Nabil & Chenni, Rachid & Cheghib, Hocine & Mekhilef, Saad, 2017. "Evaluating the reliability of crystalline silicon photovoltaic modules in harsh environment," Renewable Energy, Elsevier, vol. 109(C), pages 66-72.
    14. Gan Huang & Jingyuan Xu & Christos N. Markides, 2023. "High-efficiency bio-inspired hybrid multi-generation photovoltaic leaf," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    15. Jin, Jiahui & Sun, Guoqiang & Chen, Sheng & Li, Yaping & Zhu, Hong & Mao, Wenbo & Ji, Wenlu, 2026. "Buildings-to-grid with generalized energy storage: A multi-agent decomposed deep reinforcement learning approach for delayed rewards," Applied Energy, Elsevier, vol. 404(C).
    16. Xie, Peilin & Zhou, Fan & Tan, Sen & Liso, Vincenzo & Sahlin, Simon Lennart, 2025. "Development of a two-layer control and management system for a residential microgrid with HT-PEMFC-based micro-CHP," Applied Energy, Elsevier, vol. 381(C).
    17. Wilson, Earle, 2009. "Theoretical and operational thermal performance of a ‘wet’ crystalline silicon PV module under Jamaican conditions," Renewable Energy, Elsevier, vol. 34(6), pages 1655-1660.
    18. Erdil, Erzat & Ilkan, Mustafa & Egelioglu, Fuat, 2008. "An experimental study on energy generation with a photovoltaic (PV)–solar thermal hybrid system," Energy, Elsevier, vol. 33(8), pages 1241-1245.
    19. Li, Xuehan & Wang, Wei & Fang, Fang & Liu, Jizhen & Chen, Zhe, 2025. "Improving active power regulation for wind turbine by phase leading cascaded error-based active disturbance rejection control and multi-objective optimization," Renewable Energy, Elsevier, vol. 243(C).
    20. Chanchangi, Yusuf N. & Ghosh, Aritra & Micheli, Leonardo & Fernández, Eduardo F. & Sundaram, Senthilarasu & Mallick, Tapas K., 2022. "Soiling mapping through optical losses for Nigeria," Renewable Energy, Elsevier, vol. 197(C), pages 995-1008.

    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:256:y:2026:i:pf:s0960148125020531. 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.