Power Enhancement of a PV Module Using Different Types of Phase Change Materials

Shaito, Ali; Hammoud, Mohammad; Kawtharani, Fadel; Kawtharani, Ali; Reda, Hilal

doi:10.3390/en14165195

Cited by 9 publications

(9 citation statements)

References 25 publications

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“…Additionally, the customer should be able to point out his own criteria. According to the literature review, for example [1,3,12,14,40,50], the customer is able to simultaneously assess simultaneously from 5 to 9 criteria. Therefore, the summary number of all criteria (proposed and individually determined by the customer) should be equal to 7 ± 2 [9,14,50].…”

Section: Stage 3 Determining Qualitative Criteria Of Photovoltaic Panelsmentioning

confidence: 99%

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Model to Predict Quality of Photovoltaic Panels Considering Customers’ Expectations

Pacana

Siwiec

2022

Energies

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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.

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Section: Stage 3 Determining Qualitative Criteria Of Photovoltaic Panelsmentioning

confidence: 99%

“…As shown in Refs. [5,[10][11][12][13], it is a clean and safe energy and also has potential in the production of electricity. In recent years, there has been a development of photovoltaic systems for generating this energy.…”

Section: Introductionmentioning

confidence: 99%

Model to Predict Quality of Photovoltaic Panels Considering Customers’ Expectations

Pacana

Siwiec

2022

Energies

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“…It seems that solid-liquid PCMs are promising Solid-liquid PCMs can be used to store a large quantity of thermal energy and this type of material includes different chemical substances, such as organic, inorganic, and eutectics, which are illustrated in Figure 2. It seems that solid-liquid PCMs are promising to be applied in many applications, such as space heating and cooling of buildings [51][52][53], solar energy applications [54][55][56][57][58], etc. The solid-liquid PCMs also offer a wide operating temperature range (which is the physical property of a material and varies for different types of PCMs).…”

Section: The Selection Of Pcmmentioning

confidence: 99%

Sizing the Thermal Energy Storage Device Utilizing Phase Change Material (PCM) for Low-Temperature Organic Rankine Cycle Systems Employing Selected Hydrocarbons

et al. 2022

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Thermal energy storage (TES) looks to be a promising technology for recovering waste heat or other intermittent heat sources, especially if it is coupled with the organic Rankine cycle (ORC) system. This system may use a variety of heat storage materials, including solids, liquids, and phase change materials (PCM). This article discusses the use of PCM as a thermal energy storage material in TES systems coupled with ORC systems. Other TES configurations may be used in ORC; however, in this article, the TES is solely used in heat exchangers, i.e., evaporator and liquid heater. The goal of this research is to establish a dimensionless storage mass parameter for sizing TES-evaporator (TES-EVA) or TES-liquid heater (TES-LH) devices for ORCs. Furthermore, the model of this system was created in the MATLAB environment using the chosen hydrocarbons as ORC working fluids. The obtained modelling results provide a novel point of view that scientists and engineers may employ while developing the TES-EVA or TES-LH utilizing PCM for ORC.

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“…However, PV systems are still one of the cleanest and safest RES [19]. For energy mainly used in passive heating systems [12], the most often-used instrument to convert solar energy is photovoltaic (PV) systems [7,20]. Photovoltaic energy is becoming more and more popular because of fossil fuels' shortages as well as their negative impact on the environment [21].…”

Section: Introductionmentioning

confidence: 99%

Model of Choice Photovoltaic Panels Considering Customers’ Expectations

Siwiec

Pacana

2021

Energies

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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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Power Enhancement of a PV Module Using Different Types of Phase Change Materials

Cited by 9 publications

References 25 publications

Model to Predict Quality of Photovoltaic Panels Considering Customers’ Expectations

Model to Predict Quality of Photovoltaic Panels Considering Customers’ Expectations

Sizing the Thermal Energy Storage Device Utilizing Phase Change Material (PCM) for Low-Temperature Organic Rankine Cycle Systems Employing Selected Hydrocarbons

Model of Choice Photovoltaic Panels Considering Customers’ Expectations

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