Model of Choice Photovoltaic Panels Considering Customers’ Expectations

Photovoltaic electricity generation is key to achieving deep decarbonization with a high degree of electrification. It is predicted that the energy sector will reduce carbon dioxide by producing electricity mainly from photovoltaic (PV) power. Although dynamic development of the implementation of ph...

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Main Authors: Dominika Siwiec, Andrzej Pacana
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/18/5977
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author Dominika Siwiec
Andrzej Pacana
author_facet Dominika Siwiec
Andrzej Pacana
author_sort Dominika Siwiec
collection DOAJ
description Photovoltaic electricity generation is key to achieving deep decarbonization with a high degree of electrification. It is predicted that the energy sector will reduce carbon dioxide by producing electricity mainly from photovoltaic (PV) power. Although dynamic development of the implementation of photovoltaic panels has been observed, their choice considering customer specificity is still a problem. Therefore, the purpose of this study is to propose the model of choice photovoltaic panels considering customers’ expectations. It can support the choice of a photovoltaic panel of a certain quality (satisfaction of concrete customer) in combination with the cost of its purchase. The proposed model includes acquiring and then processing customers’ expectations into technical criteria, while simultaneously considering the weighting of these criteria. It is realized in a standardized way, i.e., the zero-unitarization method (MUZ), after which normalized values of the quality of the photovoltaic panels’ criteria are obtained. In turn, the quality of these products is estimated by the weighted sum model (WSM) and then integrated with purchase cost in qualitative cost analysis (AKJ). As a result, using the scale of relative states, it is possible to categorize customer satisfaction from indicating qualitative cost and selecting the photovoltaic panel expected by customers (the most satisfactory). The effectiveness of the model was demonstrated by a sensitivity analysis, after which the key PV criteria were indicated. The proposed model is intended for any entity who selects a photovoltaic panel for customers. The computerization of calculations may contribute to its utilitarian dissemination.
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spelling doaj.art-11188894f4ea4da4a72129afb2c1b50a2023-11-22T12:55:58ZengMDPI AGEnergies1996-10732021-09-011418597710.3390/en14185977Model of Choice Photovoltaic Panels Considering Customers’ ExpectationsDominika Siwiec0Andrzej Pacana1Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, PolandFaculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, PolandPhotovoltaic electricity generation is key to achieving deep decarbonization with a high degree of electrification. It is predicted that the energy sector will reduce carbon dioxide by producing electricity mainly from photovoltaic (PV) power. Although dynamic development of the implementation of photovoltaic panels has been observed, their choice considering customer specificity is still a problem. Therefore, the purpose of this study is to propose the model of choice photovoltaic panels considering customers’ expectations. It can support the choice of a photovoltaic panel of a certain quality (satisfaction of concrete customer) in combination with the cost of its purchase. The proposed model includes acquiring and then processing customers’ expectations into technical criteria, while simultaneously considering the weighting of these criteria. It is realized in a standardized way, i.e., the zero-unitarization method (MUZ), after which normalized values of the quality of the photovoltaic panels’ criteria are obtained. In turn, the quality of these products is estimated by the weighted sum model (WSM) and then integrated with purchase cost in qualitative cost analysis (AKJ). As a result, using the scale of relative states, it is possible to categorize customer satisfaction from indicating qualitative cost and selecting the photovoltaic panel expected by customers (the most satisfactory). The effectiveness of the model was demonstrated by a sensitivity analysis, after which the key PV criteria were indicated. The proposed model is intended for any entity who selects a photovoltaic panel for customers. The computerization of calculations may contribute to its utilitarian dissemination.https://www.mdpi.com/1996-1073/14/18/5977predictionphotovoltaic panelsmulticriteria decision-making modelmechanical engineeringzero-unitarization methodweighted sum model
spellingShingle Dominika Siwiec
Andrzej Pacana
Model of Choice Photovoltaic Panels Considering Customers’ Expectations
Energies
prediction
photovoltaic panels
multicriteria decision-making model
mechanical engineering
zero-unitarization method
weighted sum model
title Model of Choice Photovoltaic Panels Considering Customers’ Expectations
title_full Model of Choice Photovoltaic Panels Considering Customers’ Expectations
title_fullStr Model of Choice Photovoltaic Panels Considering Customers’ Expectations
title_full_unstemmed Model of Choice Photovoltaic Panels Considering Customers’ Expectations
title_short Model of Choice Photovoltaic Panels Considering Customers’ Expectations
title_sort model of choice photovoltaic panels considering customers expectations
topic prediction
photovoltaic panels
multicriteria decision-making model
mechanical engineering
zero-unitarization method
weighted sum model
url https://www.mdpi.com/1996-1073/14/18/5977
work_keys_str_mv AT dominikasiwiec modelofchoicephotovoltaicpanelsconsideringcustomersexpectations
AT andrzejpacana modelofchoicephotovoltaicpanelsconsideringcustomersexpectations