Multi-Criteria Decision-Making Tools for Selection Photovoltaic Modules

2018 ◽  
Vol 27 ◽  
pp. 147-151
Author(s):  
Gabriela Demian ◽  
Mihai Demian ◽  
Stefan Radu ◽  
Sandu Dubovan
Keyword(s):  
Decision Making ◽  
Optimal Solution ◽  
Photovoltaic Module ◽  
Multi Criteria Decision Making ◽  
Photovoltaic Modules ◽  
Decision Methods ◽  
Pv Modules ◽  
Criteria For Selection

This paper presents aplying a multi-criteria decision methods to evaluate an optimum photovoltaic module for the construction of a solar park. In this work, seven number of alternative of photovoltaic modules and four criteria for selection is used for the optimal solution. The result from the research demonstrate which of the analyzed PV modules is the most convenient to be used for construction of a solar park.

scholarly journals Assessment of Photovoltaic Surface Texturing on Transmittance Effects and Glint/Glare Impacts

2015 ◽  
Author(s):  
Julius Yellowhair ◽  
Clifford K. Ho
Keyword(s):  
Surface Roughness ◽  
Surface Texturing ◽  
Air Traffic ◽  
Photovoltaic Module ◽  
Roughness Parameters ◽  
Photovoltaic Modules ◽  
Standard Glass ◽  
Air Traffic Controllers ◽  
Pv Modules

Standard glass and polymer covers on photovoltaic modules can partially reflect the sunlight causing glint and glare. Glint and glare from large photovoltaic installations can be significant and have the potential to create hazards for motorists, air-traffic controllers and pilots flying near installations. In this work, the reflectance, surface roughness and reflected solar beam spread were measured from various photovoltaic modules acquired from seven different manufacturers. The surface texturing of the PV modules varied from smooth to roughly textured. Correlations between the measured surface texturing (roughness parameters) and beam spread (subtended angle) were determined. These correlations were then used to assess surface texturing effects on transmittance and ocular impacts of glare from photovoltaic module covers. The results can be used to drive the designs for photovoltaic surface texturing to improve transmittance and minimize glint/glare.

scholarly journals The Condition of Photovoltaic Modules under Random Operation Parameters

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8358
Author(s):  
Grzegorz Trzmiel ◽  
Jaroslaw Jajczyk ◽  
Ewa Kardas-Cinal ◽  
Norbert Chamier-Gliszczynski ◽  
Waldemar Wozniak ◽  
...  
Keyword(s):  
Working Conditions ◽  
Original Method ◽  
Diagnostic Information ◽  
Photovoltaic Module ◽  
Operational Parameters ◽  
Efficient Tool ◽  
Residual Method ◽  
Photovoltaic Modules ◽  
Pv Modules ◽  
Operation Parameters

The paper presents an original method underlying an efficient tool for assessing the condition of photovoltaic (PV) modules, in particular, those made of amorphous cells. Significantly random changes in operational parameters characterize amorphous cell operation and cause them to be challenging to test, especially in working conditions. To develop the method, the authors modified the residual method with incorporated histograms. The proposed method has been verified through experiments that show the usefulness of the proposed approach. It significantly minimizes the risk of false diagnostic information in assessing the condition of photovoltaic modules. Based on the proposed methods, the inference results confirm the effectiveness of the concept for evaluating the degree of failure of the photovoltaic module described in the paper.

scholarly journals A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study

2021 ◽  
Vol 16 (4) ◽  
pp. 443-456
Author(s):  
D.D. Trung ◽  
H.X. Thinh
Keyword(s):  
Decision Making ◽  
Surface Roughness ◽  
Removal Rate ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Feed Speed ◽  
Multi Criteria Decision Making ◽  
Turning Process ◽  
Decision Methods ◽  
Determination Methods

Multi-criteria decision-making is important and it affects the efficiency of a mechanical processing process as well as an operation in general. It is understood as determining the best alternative among many alternatives. In this study, the results of a multi-criteria decision-making study are presented. In which, sixteen experiments on turning process were carried out. The input parameters of the experiments are the cutting speed, the feed speed, and the depth of cut. After conducting the experiments, the surface roughness and the material removal rate (MRR) were determined. To determine which experiment guarantees the minimum surface roughness and maximum MRR simultaneously, four multi-criteria decision-making methods including the MAIRCA, the EAMR, the MARCOS, and the TOPSIS were used. Two methods the Entropy and the MEREC were used to determine the weights for the criteria. The combination of four multi-criteria making decision methods with two determination methods of the weights has created eight ranking solutions for the experiments, which is the novelty of this study. An amazing result was obtained that all eight solutions all determined the same best experiment. From the obtained results, a recommendation was proposed that the multi-criteria making decision methods and the weighting methods using in this study can also be used for multi-criteria making decision in other cases, other processes.

scholarly journals MULTI-CRITERIA DECISION-MAKING METHODS AND THEIR APPLICATIONS FOR HUMAN RESOURCES

2015 ◽  
Vol XL-6/W1 ◽  
pp. 31-37 ◽  
Author(s):  
M. G. D'Urso ◽  
D. Masi
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Human Resources ◽  
Optimal Choice ◽  
Fundamental Aspect ◽  
Multi Criteria Decision Making ◽  
Educational Achievements ◽  
Decision Methods ◽  
Professional Profile ◽  
Significant Support

Both within the formation field and the labor market Multi-Criteria Decision Methods (MCDM) provide a significant support to the management of human resources in which the best choice among several alternatives can be very complex. This contribution addresses fuzzy logic in multi-criteria decision techniques since they have several applications in the management of human resources with the advantage of ruling out mistakes due to the subjectivity of the person in charge of making a choice. Evaluating educational achievements as well as the professional profile of a technician more suitable for a job in a firm, industry or a professional office are valuable examples of fuzzy logic. For all of the previous issues subjectivity is a fundamental aspect so that fuzzy logic, due to the very meaning of the word fuzzy, should be the preferred choice. However, this is not sufficient to justify its use; fuzzy technique has to make the system of evaluation and choice more effective and objective. The methodological structure of the multi-criteria fuzzy criterion is hierarchic and allows one to select the best alternatives in all those cases in which several alternatives are possible; thus, the optimal choice can be achieved by analyzing the different scopes of each criterion and sub-criterion as well as the relevant weights.

scholarly journals Card game analysis for fast multi-criteria decision making

2021 ◽  
Author(s):  
Valentino Sangiorgio ◽  
Beatrice Di Pierro ◽  
Michele Roccotelli ◽  
Bartolomeo Silvestri
Keyword(s):  
Decision Making ◽  
Evaluation Procedure ◽  
Multi Criteria Decision Making ◽  
Card Game ◽  
Analytic Hierarchy ◽  
Game Analysis ◽  
Decision Methods ◽  
Novel Method ◽  
The Many ◽  
Application Fields

Multi-criteria decision methods are very popular in decision-making for many application fields thanks to their versatility and ability to involve qualitative and quantitative data in the analysis. On the other hand, the many of these techniques requires time consuming analysis and the involvement of expert users in the decision-making process. In this paper, a novel method named Card Game Analysis (CGA) is proposed to perform Multi-criteria Decision Making (MCDM) analysis. Such methodology uses a set of cards and a suitable game procedure to perform the analysis, allowing to determine indirectly tabulated weights of involved parameters (criteria, sub-criteria, alternatives, etc.) and obtain the ranking of priorities. The CGA is defined following the footsteps of the “structuring of the problem”, typical of the Analytic Hierarchy Process (AHP), and takes inspiration from an evaluation procedure presented in the related literature. In particular, the CGA is composed by the following steps: 1) structuring of the problem, 2) card setting, 3) card game weights evaluation, 4) synthesis of priorities. Finally, a validation through a comparison with the AHP procedure is performed by exploiting 25 case studies regarding the desirability of the enabling technologies of the Industry 4.0 for a set of companies in the Adriatic Ionian area.

scholarly journals A literature review of criteria selection in supplier

2018 ◽  
Vol 11 (4) ◽  
pp. 680 ◽  
Author(s):  
Agus Ristono ◽  
Pratikto ◽  
Purnomo Budi Santoso ◽  
Ishardita Pambudi Tama
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Supplier Selection ◽  
Research Direction ◽  
Multi Criteria Decision Making ◽  
Advantages And Disadvantages ◽  
Decision Methods ◽  
New Ideas ◽  
Working Out ◽  
Selection Of

Purpose: This paper proposes a new model for further research on how to select criteria in supplier selection, through a literature review and analysis of the advantages and disadvantages of previously used methods.Design/methodology/approach: The methods used to select criteria in supplier selection were extracted from various online academic databases.  The weaknesses and advantages of these methods were then analyzed. Based on these findings, several opportunities for improvement are proposed for further research. Finally, criteria design methods for the selection of suppliers are proposed using statistical multi-criteria decision making (S-MCDM) methods.Findings: Direction and guidance for subsequent research to select the criteria used in supplier selection, based on the advantages and disadvantages of the decision methods used.Research limitations/implications: Limitations of this study are that it is focused on the methods of criteria design in supplier selection.Practical implications: This study can provide a research direction on the selection of criteria for supplier selection.Social implications: This study provides ongoing guidance and avenues for further research.Originality/value: New ideas for working out the developmental strategy for criteria selection are provided by statistical MCDM methods in supplier selection.

scholarly journals Selecting Optimal Pedestrian Crossing Using Multi-criteria Decision-making

2012 ◽  
Vol 22 (2) ◽  
pp. 105-116 ◽  
Author(s):  
Ljupko Šimunović ◽  
Ivan Grgurević ◽  
Jasmina Pašagić Škrinjar
Keyword(s):  
Decision Making ◽  
Optimal Solution ◽  
Multi Criteria Decision Making ◽  
Rational Analysis ◽  
Safety Level ◽  
Persons With Disabilities ◽  
The Road ◽  
Pedestrian Crossing ◽  
The Cost ◽  
Selection Methodology

Pedestrian crossings are the critical points in the traffic network that need to enable pedestrians to safely cross the road. The safety level depends on the type of pedestrian crossing. The differences between individual types of pedestrian crossings can be noted also in relation to other criteria such as the price, energy, environmental impact, accessibility, etc. Besides, various groups of users assess the quality service differently, even when this refers to the same type of pedestrian crossing. Therefore, optimal solution of a pedestrian crossing has to be selected based on a comprehensive and rational analysis and application of adequate software tools. The selection methodology of an optimal pedestrian crossing is defined using a multi-criteria analysis. In order to view the problem as a whole, four scenarios of evaluating alternatives are foreseen. Four different groups of stakeholders: traffic experts, investors, groups of persons with disabilities and healthy persons (persons not included in the previous three stakeholder groups), who use a pedestrian crossing (according to different age, disability, perception of personal safety, etc.), assessed the importance of the offered criteria. Different groups of users have different preferences in relation to individual groups of criteria, depending on their interests and needs. One group finds the criterion of pedestrian safety the most important one, others think that finances are most important (the cost of construction), some think that accessibility is the most important issue, etc. The solutions obtained in this manner provide insight into the advantages and drawbacks of individual versions. This makes it easier for the decision-makers to select only one variant / alternative from a group of the offered solutions in compliance with the defined criteria and sub-criteria with the aim of defining an optimal pedestrian crossing for a certain spatial and traffic location. KEY WORDS: pedestrian crossing, multi-criteria decision-making, analytical hierarchy process

scholarly journals Multi-criteria decision making method for models with the dominant criterion

Filomat ◽  
2017 ◽  
Vol 31 (10) ◽  
pp. 2981-2989 ◽  
Author(s):  
Miodrag Zizovic ◽  
Nada Damljanovic ◽  
Malisa Zizovic
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Multi Criteria Decision Making ◽  
Important Criterion ◽  
Decision Methods ◽  
Low Performance ◽  
Criteria Importance ◽  
Selection And Assessment

In all practical problems associated with the selection and assessment, almost always criteria have different importance. The priorities of criteria are expressed by weighted coefficients. Every decision maker has to establish criteria priority scale. This can be done directly - degrees of criteria importance defined by judgment of experts, or indirectly - degrees of criteria importance calculated by alternatives themselves. Many multi-criteria decision methods allow some kind of compensatory between criteria. The low performance on an important criterion can be redeemed in overall aggregation by good performance on few other less important criteria. In this paper, we present the method which provides that such an important piece of information must be preserved: If an alternative does not satisfy a dominant criterion, then its overall aggregation value is zero.

scholarly journals Use of an Indoor Solar Flash Test Device to Evaluate Production Loss Associated to Specific Defects on Photovoltaic Modules

2020 ◽  
Vol 15 (5) ◽  
pp. 639-646
Author(s):  
Silvia Luciani ◽  
Gianluca Coccia ◽  
Sebastiano Tomassetti ◽  
Mariano Pierantozzi ◽  
Giovanni Di Nicola
Keyword(s):  
Visual Inspection ◽  
Photovoltaic Module ◽  
Production Loss ◽  
Test Device ◽  
Solar Simulator ◽  
Photovoltaic Modules ◽  
Class A ◽  
Pv Modules ◽  
Non Destructive ◽  
Destructive Methods

During their lifetime, photovoltaic (PV) plants are subject to a normal degradation of their components, and they are consequently characterized by decrease of the expected production. In order to prevent and evaluate failures and loss of production, specific tests can be carried out on the PV modules. Non-destructive methods, such as visual inspection and infrared thermography, can be performed in order to determine production failures or defects on the PV modules. I-V curves allow to estimate the performance of photovoltaic modules and strings, estimating the deviation between the power of the examined module and that declared by the manufacturer. The aim of this work is to evaluate the efficiency loss of photovoltaic modules associated to specific defects, causing in a systematic way some faults on a set of brand-new modules and assessing the relative decrease of power. The set of brand-new photovoltaic modules, after being damaged, was experimentally characterized determining their I-V curves by means of an indoor solar flash test device based on a class A+ AM 1.5 solar simulator. Using the I-V curves as a dataset, it was possible to estimate the incidence of different defects on the power of the photovoltaic module being considered.

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