IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v122y2018icp173-183.html

An analysis of meteorological parameters influencing solar drying systems in Algeria using the isopleth chart technique

Author

Listed:
  • Benseddik, A.
  • Azzi, A.
  • Chellali, F.
  • Khanniche, R.
  • Allaf, k.

Abstract

In the current contribution identifications of different climate areas existing in Algeria, as categorized by Borel [1], are made. Meteorological parameters that have direct impact on solar dryer design were modelled and performances were explored and extracted from a database established by a software package named Meteonorm®. More particularly, interest was made on parameters of utmost importance namely, solar irradiation intensity, ambient temperature and air relative humidity. A so called isopleth charts showing clearly contrasts existing between different studied sites were plotted. They also provided solid bases to solar drier designer in Algeria. Also the concept of PDF (Probability Density Function) was introduced to estimate the distribution of different variables.

Suggested Citation

  • Benseddik, A. & Azzi, A. & Chellali, F. & Khanniche, R. & Allaf, k., 2018. "An analysis of meteorological parameters influencing solar drying systems in Algeria using the isopleth chart technique," Renewable Energy, Elsevier, vol. 122(C), pages 173-183.
    • Handle: RePEc:eee:renene:v:122:y:2018:i:c:p:173-183
    DOI: 10.1016/j.renene.2018.01.111
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118301216
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.01.111?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. Jamil, M. & Parsa, S. & Majidi, M., 1995. "Wind power statistics and an evaluation of wind energy density," Renewable Energy, Elsevier, vol. 6(5), pages 623-628.
    2. Sajjad Abedi & Gholam Riahy & Seyed Hossein Hosseinian & Mehdi Farhadkhani, 2013. "Improved Stochastic Modeling: An Essential Tool for Power System Scheduling in the Presence of Uncertain Renewables," Chapters, in: Hasan Arman & Ibrahim Yuksel (ed.), New Developments in Renewable Energy, IntechOpen.
    3. Himri, Y. & Himri, S. & Boudghene Stambouli, A., 2009. "Assessing the wind energy potential projects in Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2187-2191, October.
    4. Himri, Y. & Rehman, S. & Agus Setiawan, A. & Himri, S., 2012. "Wind energy for rural areas of Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2381-2385.
    5. Youcef Ettoumi, F. & Mefti, A. & Adane, A. & Bouroubi, M.Y., 2002. "Statistical analysis of solar measurements in Algeria using beta distributions," Renewable Energy, Elsevier, vol. 26(1), pages 47-67.
    6. Chellali, Farouk & Khellaf, Adballah & Belouchrani, Adel & Recioui, Abdelmadjid, 2011. "A contribution in the actualization of wind map of Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 993-1002, February.
    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. Diaf, S. & Notton, G., 2013. "Technical and economic analysis of large-scale wind energy conversion systems in Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 37-51.
    2. Stambouli, A. Boudghene & Khiat, Z. & Flazi, S. & Kitamura, Y., 2012. "A review on the renewable energy development in Algeria: Current perspective, energy scenario and sustainability issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4445-4460.
    3. saheb Koussa, Djohra & Koussa, Mustapha, 2016. "GHGs (greenhouse gases) emission and economic analysis of a GCRES (grid-connected renewable energy system) in the arid region, Algeria," Energy, Elsevier, vol. 102(C), pages 216-230.
    4. Belabes, B. & Youcefi, A. & Guerri, O. & Djamai, M. & Kaabeche, A., 2015. "Evaluation of wind energy potential and estimation of cost using wind energy turbines for electricity generation in north of Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1245-1255.
    5. Akpınar, Adem, 2013. "Evaluation of wind energy potentiality at coastal locations along the north eastern coasts of Turkey," Energy, Elsevier, vol. 50(C), pages 395-405.
    6. Saheb Koussa, D. & Koussa, M. & Hadji, S., 2016. "Assessment of various WTG (wind turbine generators) production in different Algerian's climatic zones," Energy, Elsevier, vol. 96(C), pages 449-460.
    7. González-Longatt, Francisco & Medina, Humberto & Serrano González, Javier, 2015. "Spatial interpolation and orographic correction to estimate wind energy resource in Venezuela," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 1-16.
    8. Zepter, Jan Martin & Weibezahn, Jens, 2019. "Unit commitment under imperfect foresight – The impact of stochastic photovoltaic generation," Applied Energy, Elsevier, vol. 243(C), pages 336-349.
    9. Eskin, N. & Artar, H. & Tolun, S., 2008. "Wind energy potential of Gökçeada Island in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 839-851, April.
    10. Chancham, Chana & Waewsak, Jompob & Gagnon, Yves, 2017. "Offshore wind resource assessment and wind power plant optimization in the Gulf of Thailand," Energy, Elsevier, vol. 139(C), pages 706-731.
    11. Xydis, George, 2013. "A techno-economic and spatial analysis for the optimal planning of wind energy in Kythira island, Greece," International Journal of Production Economics, Elsevier, vol. 146(2), pages 440-452.
    12. Hu, Mengqi, 2015. "A data-driven feed-forward decision framework for building clusters operation under uncertainty," Applied Energy, Elsevier, vol. 141(C), pages 229-237.
    13. Li, Jiale & Yu, Xiong (Bill), 2018. "Onshore and offshore wind energy potential assessment near Lake Erie shoreline: A spatial and temporal analysis," Energy, Elsevier, vol. 147(C), pages 1092-1107.
    14. Hocine, Amin & Zhuang, Zheng-Yun & Kouaissah, Noureddine & Li, Der-Chiang, 2020. "Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions," European Journal of Operational Research, Elsevier, vol. 285(2), pages 642-654.
    15. Hao Xiao & Wei Pei & Zuomin Dong & Li Kong & Dan Wang, 2018. "Application and Comparison of Metaheuristic and New Metamodel Based Global Optimization Methods to the Optimal Operation of Active Distribution Networks," Energies, MDPI, vol. 11(1), pages 1-29, January.
    16. Ahmad Abuelrub & Osama Saadeh & Hussein M. K. Al-Masri, 2018. "Scenario Aggregation-Based Grid-Connected Photovoltaic Plant Design," Sustainability, MDPI, vol. 10(4), pages 1-13, April.
    17. Himri, Y. & Himri, S. & Stambouli, A. Boudghene, 2010. "Wind power resource in the south-western region of Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 554-556, January.
    18. Wu, Jiekang & Wu, Zhijiang & Wu, Fan & Tang, Huiling & Mao, Xiaoming, 2018. "CVaR risk-based optimization framework for renewable energy management in distribution systems with DGs and EVs," Energy, Elsevier, vol. 143(C), pages 323-336.
    19. Camilo Carrillo & José Cidrás & Eloy Díaz-Dorado & Andrés Felipe Obando-Montaño, 2014. "An Approach to Determine the Weibull Parameters for Wind Energy Analysis: The Case of Galicia (Spain)," Energies, MDPI, vol. 7(4), pages 1-25, April.
    20. Li, Yan-Fu & Zio, Enrico, 2012. "A multi-state model for the reliability assessment of a distributed generation system via universal generating function," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 28-36.

    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:122:y:2018:i:c:p:173-183. 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.