IDEAS home Printed from https://ideas.repec.org/a/oup/ijlctc/v17y2022ip380-393..html
   My bibliography  Save this article

Multi-criteria decision-making approach for the selection of cleaning method of solar PV panels in United Arab Emirates based on sustainability perspective
[Mind the gap: a social sciences review of energy efficiency]

Author

Listed:
  • MaryamNooman AlMallahi
  • Mamdouh El Haj Assad
  • Sameh AlShihabi
  • Reza Alayi

Abstract

Solar power has become one of the most essential sources in the move to clean energy production. It plays a vital role in providing environmental, social and economic benefits. As a result, the solar panels must be cleaned consistently. There are several cleaning methods, including passive, active and manual cleaning. In this paper, multi-criteria decision-making method Technique for Order of Preference by Similarity to Ideal Solution is utilized to compare between different cleaning methods and find the optimal cleaning method in Dubai. This approach considers the influential factors and their relative importance of the cleaning methods to prioritize the alternatives. The aim of the work is to consider social, economic and environmental criteria while choosing the appropriate cleaning method for solar photovoltaic (PV) panels. The chosen attributes include several important factors, such as initial and running cost, time required for cleaning, safety, energy required, water consumption, environmental impact and economic impact. The data were collected through a survey of solar energy experts in Dubai. Different weighting methods, such as simple additive weighting and multiplicative exponential weighting were used to determine the relative relevance of the criteria. Sensitivity analysis was conducted, and cost attribute was removed. Inter-criteria correlation, entropy and stochastic dominance were calculated, and the results revealed that robot water-based (sprinkler and brush) cleaning method was the most effective option 0.648, 0.753 and 0.707, respectively. Also the sensitivity analysis results confirmed that robot water based is the most preferred cleaning method by experts in Dubai.

Suggested Citation

  • MaryamNooman AlMallahi & Mamdouh El Haj Assad & Sameh AlShihabi & Reza Alayi, 2022. "Multi-criteria decision-making approach for the selection of cleaning method of solar PV panels in United Arab Emirates based on sustainability perspective [Mind the gap: a social sciences review o," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 380-393.
    • Handle: RePEc:oup:ijlctc:v:17:y:2022:i::p:380-393.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ijlct/ctac010
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Reza Alayi & Mahdi Mohkam & Seyed Reza Seyednouri & Mohammad Hossein Ahmadi & Mohsen Sharifpur, 2021. "Energy/Economic Analysis and Optimization of On-Grid Photovoltaic System Using CPSO Algorithm," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    2. Mamdouh El Haj Assad & Yashar Aryanfar & Salar Radman & Bashria Yousef & Mohammadreza Pakatchian, 2021. "Energy and exergy analyses of single flash geothermal power plant at optimum separator temperature," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(3), pages 873-881.
    3. Babatunde, A.A. & Abbasoglu, S. & Senol, M., 2018. "Analysis of the impact of dust, tilt angle and orientation on performance of PV Plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 1017-1026.
    4. Ishizaka, Alessio & Siraj, Sajid, 2018. "Are multi-criteria decision-making tools useful? An experimental comparative study of three methods," European Journal of Operational Research, Elsevier, vol. 264(2), pages 462-471.
    5. Lu, Xiaolong & Zhang, Qi & Hu, Junhui, 2013. "A linear piezoelectric actuator based solar panel cleaning system," Energy, Elsevier, vol. 60(C), pages 401-406.
    6. Reza Alayi & Ravinder Kumar & Syed Reza Seydnouri & Mohammad Hossein Ahmadi & Alibek Issakhov, 2021. "Energy, environment and economic analyses of a parabolic trough concentrating photovoltaic/thermal system [The moderating effects of urbanization on carbon dioxide emissions: a latent class modelin," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(2), pages 570-576.
    7. Hachicha, Ahmed Amine & Al-Sawafta, Israa & Said, Zafar, 2019. "Impact of dust on the performance of solar photovoltaic (PV) systems under United Arab Emirates weather conditions," Renewable Energy, Elsevier, vol. 141(C), pages 287-297.
    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. Yaser Alaiwi & Azher M Abed & Ghassan Fadhil Smaisim & Mohamed Aly Saad Aly & Salema K Hadrawi & Reza Morovati, 2023. "Simulation and investigation of bioethanol production considering energetic and economic considerations," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 18, pages 191-203.

    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. Conceição, Ricardo & González-Aguilar, José & Merrouni, Ahmed Alami & Romero, Manuel, 2022. "Soiling effect in solar energy conversion systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    2. Gowtham Vedulla & Anbazhagan Geetha & Ramalingam Senthil, 2022. "Review of Strategies to Mitigate Dust Deposition on Solar Photovoltaic Systems," Energies, MDPI, vol. 16(1), pages 1-28, December.
    3. Dida, Mustapha & Boughali, Slimane & Bechki, Djamel & Bouguettaia, Hamza, 2020. "Output power loss of crystalline silicon photovoltaic modules due to dust accumulation in Saharan environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    4. Wu, Jing & Zhang, Ling & Liu, Zhongbing & Luo, Yongqiang & Wu, Zhenghong & Wang, Pengcheng, 2020. "Experimental and theoretical study on the performance of semi-transparent photovoltaic glazing façade under shaded conditions," Energy, Elsevier, vol. 207(C).
    5. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    6. Moein Shamoushaki & Mehdi Aliehyaei & Farhad Taghizadeh-Hesary, 2021. "Energy, Exergy, Exergoeconomic, and Exergoenvironmental Assessment of Flash-Binary Geothermal Combined Cooling, Heating and Power Cycle," Energies, MDPI, vol. 14(15), pages 1-24, July.
    7. Mahmoudan, Alireza & Samadof, Parviz & Hosseinzadeh, Siamak & Garcia, Davide Astiaso, 2021. "A multigeneration cascade system using ground-source energy with cold recovery: 3E analyses and multi-objective optimization," Energy, Elsevier, vol. 233(C).
    8. Khalifa Mohammed Al-Sobai & Shaligram Pokharel & Galal M. Abdella, 2020. "Perspectives on the Capabilities for the Selection of Strategic Projects," Sustainability, MDPI, vol. 12(19), pages 1-20, October.
    9. Rafi Zahedi & Parisa Ranjbaran & Gevork B. Gharehpetian & Fazel Mohammadi & Roya Ahmadiahangar, 2021. "Cleaning of Floating Photovoltaic Systems: A Critical Review on Approaches from Technical and Economic Perspectives," Energies, MDPI, vol. 14(7), pages 1-25, April.
    10. Wu, Yubo & Du, Jianqiang & Liu, Guangxin & Ma, Danzhu & Jia, Fengrui & Klemeš, Jiří Jaromír & Wang, Jin, 2022. "A review of self-cleaning technology to reduce dust and ice accumulation in photovoltaic power generation using superhydrophobic coating," Renewable Energy, Elsevier, vol. 185(C), pages 1034-1061.
    11. Paweł Karczmarek & Witold Pedrycz & Adam Kiersztyn, 2021. "Fuzzy Analytic Hierarchy Process in a Graphical Approach," Group Decision and Negotiation, Springer, vol. 30(2), pages 463-481, April.
    12. Reza Alayi & Mahdi Mohkam & Seyed Reza Seyednouri & Mohammad Hossein Ahmadi & Mohsen Sharifpur, 2021. "Energy/Economic Analysis and Optimization of On-Grid Photovoltaic System Using CPSO Algorithm," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    13. Yao, Wanxiang & Kong, Xiangru & Xu, Ai & Xu, Puyan & Wang, Yan & Gao, Weijun, 2023. "New models for the influence of rainwater on the performance of photovoltaic modules under different rainfall conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    14. Ali Komeili Birjandi & Morteza Fahim Alavi & Mohamed Salem & Mamdouh El Haj Assad & Natarajan Prabaharan, 2022. "Modeling carbon dioxide emission of countries in southeast of Asia by applying artificial neural network [Energy and exergy analyses of single flash geothermal power plant at optimum separator temp," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 321-326.
    15. Abdulsalam S. Alghamdi & AbuBakr S. Bahaj & Luke S. Blunden & Yue Wu, 2019. "Dust Removal from Solar PV Modules by Automated Cleaning Systems," Energies, MDPI, vol. 12(15), pages 1-21, July.
    16. Khaled M. Alawasa & Rashid S. AlAbri & Amer S. Al-Hinai & Mohammed H. Albadi & Abdullah H. Al-Badi, 2021. "Experimental Study on the Effect of Dust Deposition on a Car Park Photovoltaic System with Different Cleaning Cycles," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    17. Jane Musole Kwenye & Xiaoting Hou Jones & Alan Renwick, 2023. "Understanding Land-Use Trade-off Decision Making Using the Analytical Hierarchy Process: Insights from Agricultural Land Managers in Zambia," Land, MDPI, vol. 12(3), pages 1-19, February.
    18. Snežana Tadić & Mladen Krstić & Violeta Roso & Nikolina Brnjac, 2020. "Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    19. Vaccari, Marco & Pannocchia, Gabriele & Tognotti, Leonardo & Paci, Marco, 2023. "Rigorous simulation of geothermal power plants to evaluate environmental performance of alternative configurations," Renewable Energy, Elsevier, vol. 207(C), pages 471-483.
    20. Opoku, Richard & Obeng, George Y. & Adjei, Eunice A. & Davis, Francis & Akuffo, Fred O., 2020. "Integrated system efficiency in reducing redundancy and promoting residential renewable energy in countries without net-metering: A case study of a SHS in Ghana," Renewable Energy, Elsevier, vol. 155(C), pages 65-78.

    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:oup:ijlctc:v:17:y:2022:i::p:380-393.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ijlct .

    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.