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Model to Predict Quality of Photovoltaic Panels Considering Customers’ Expectations

Author

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  • Andrzej Pacana

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland)

  • Dominika Siwiec

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland)

Abstract

The perspective of reducing negative climate changes in the area of production of electricity is beneficial mainly for photovoltaic panels (PV). In this case, qualitative–ecological interactions arise, which should be verified to properly select PV. It refers to the analysis of customers’ expectations of the utility of photovoltaic panels and their impact on the landscape (environments). Therefore, the purpose of the article was to propose a model to predict the quality of photovoltaic panels considering the expectations of the customers. According to the SMART(-ER) method, the purpose of the analysis was determined. Then, using brainstorming (BM), the criteria of PV were determined in groups: technical, utility, and aesthetic. The customer expectations were then obtained by questionnaire with the technique with the method of comparison in pairs and Likert scale. Customer expectations were initially verified using the AHP method, after which the key PV criteria of PV were selected. The relations between these criteria were then determined by the DEMATEL method. According to customer expectations, the quality of PV was calculated. The Weighted Product Model (WPM) was used this purpose. As a result, the best photovoltaic panel was predicted for the best PV for the customer by using the relative state scale. The developed model can be used by any entity for any photovoltaic panel and by individual personalized criteria for the customer and other interested parties. The originality of this model is the integration of selected techniques in such a way as to provide them with the greatest satisfaction after choosing a PV based on customer expectations.

Suggested Citation

  • Andrzej Pacana & Dominika Siwiec, 2022. "Model to Predict Quality of Photovoltaic Panels Considering Customers’ Expectations," Energies, MDPI, vol. 15(3), pages 1-33, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1101-:d:740706
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    References listed on IDEAS

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    1. Dominika Siwiec & Andrzej Pacana, 2021. "Model Supporting Development Decisions by Considering Qualitative–Environmental Aspects," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    2. Tito G. Amaral & Vitor Fernão Pires & Armando J. Pires, 2021. "Fault Detection in PV Tracking Systems Using an Image Processing Algorithm Based on PCA," Energies, MDPI, vol. 14(21), pages 1-18, November.
    3. Robert Ulewicz & Dominika Siwiec & Andrzej Pacana & Magdalena Tutak & Jarosław Brodny, 2021. "Multi-Criteria Method for the Selection of Renewable Energy Sources in the Polish Industrial Sector," Energies, MDPI, vol. 14(9), pages 1-30, April.
    4. Yongshi Jie & Xianhua Ji & Anzhi Yue & Jingbo Chen & Yupeng Deng & Jing Chen & Yi Zhang, 2020. "Combined Multi-Layer Feature Fusion and Edge Detection Method for Distributed Photovoltaic Power Station Identification," Energies, MDPI, vol. 13(24), pages 1-19, December.
    5. Sebastian Pater, 2021. "Long-Term Performance Analysis Using TRNSYS Software of Hybrid Systems with PV-T," Energies, MDPI, vol. 14(21), pages 1-13, October.
    6. Ana Cristina Ferreira & Angela Silva & José Carlos Teixeira & Senhorinha Teixeira, 2020. "Multi-Objective Optimization of Solar Thermal Systems Applied to Portuguese Dwellings," Energies, MDPI, vol. 13(24), pages 1-23, December.
    7. Dominika Knera & Pablo Roberto Dellicompagni & Dariusz Heim, 2021. "Improvement of BIPV Efficiency by Application of Highly Reflective Surfaces at the Building Envelope," Energies, MDPI, vol. 14(21), pages 1-17, November.
    8. Dominika Siwiec & Andrzej Pacana, 2021. "Model of Choice Photovoltaic Panels Considering Customers’ Expectations," Energies, MDPI, vol. 14(18), pages 1-32, September.
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    Cited by:

    1. Mahdi Salehi & Seyed Hamed Fahimifard & Grzegorz Zimon & Andrzej Bujak & Adam Sadowski, 2022. "The Effect of CO 2 Gas Emissions on the Market Value, Price and Shares Returns," Energies, MDPI, vol. 15(23), pages 1-17, December.
    2. Dominika Siwiec & Andrzej Pacana & Andrzej Gazda, 2023. "A New QFD-CE Method for Considering the Concept of Sustainable Development and Circular Economy," Energies, MDPI, vol. 16(5), pages 1-21, March.
    3. Grzegorz Ostasz & Dominika Siwiec & Andrzej Pacana, 2022. "Universal Model to Predict Expected Direction of Products Quality Improvement," Energies, MDPI, vol. 15(5), pages 1-18, February.
    4. Bartosz Radomski & Tomasz Mróz, 2023. "Application of the Hybrid MCDM Method for Energy Modernisation of an Existing Public Building—A Case Study," Energies, MDPI, vol. 16(8), pages 1-18, April.
    5. Peng Hao & Jun-Peng Guo & Eoghan O’Neill & Yong-Heng Shi, 2023. "When Will First-Price Work Well? The Impact of Anti-Corruption Rules on Photovoltaic Power Generation Procurement Auctions," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    6. Robert Ulewicz & Dominika Siwiec & Andrzej Pacana, 2023. "A New Model of Pro-Quality Decision Making in Terms of Products’ Improvement Considering Customer Requirements," Energies, MDPI, vol. 16(11), pages 1-22, May.
    7. Tadeusz Olejarz & Dominika Siwiec & Andrzej Pacana, 2022. "Method of Qualitative–Environmental Choice of Devices Converting Green Energy," Energies, MDPI, vol. 15(23), pages 1-22, November.
    8. Andrzej Pacana & Dominika Siwiec & Jacek Pacana, 2023. "Fuzzy Method to Improve Products and Processes Considering the Approach of Sustainable Development (FQE-SD Method)," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    9. Paweł Ziemba, 2023. "Selection of Photovoltaic Panels Based on Ranges of Criteria Weights and Balanced Assessment Criteria," Energies, MDPI, vol. 16(17), pages 1-18, September.
    10. Grzegorz Ostasz & Dominika Siwiec & Andrzej Pacana, 2022. "Model to Determine the Best Modifications of Products with Consideration Customers’ Expectations," Energies, MDPI, vol. 15(21), pages 1-21, October.
    11. Małgorzata Łatuszyńska & Kesra Nermend, 2022. "Energy Decision Making: Problems, Methods, and Tools—An Overview," Energies, MDPI, vol. 15(15), pages 1-5, July.

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