Thermo-hydraulic characterization and design optimization of delta-shaped obstacles in solar water heating system using CRITIC-COPRAS approach

Khargotra, Rohit; Kumar, Raj; Kovács, András; Fekete, Gusztáv; Singh, Tej

doi:10.1016/j.energy.2022.125236

Cited by 25 publications

(6 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this investigation, it was observed that ranking of impregnation materials are in descending order as A-5 > Furthermore, the ranking results of the proposed entropy-TOPSIS methodology were compared to those of other common MCDM methodologies to validate its applicability. The ranking results obtained by the entropy-TOPSIS approach were compared with VIKOR (Visekriterijumska optimizacija kompromisno resenjemeaning) [47] , ARAS (Additive ratio assessment) [48] , GRA (Grey relation analysis) [49] , PROMETHEE II (Preference ranking organization method for enrichment evaluation II) [50] , MOORA (Multiple objective optimization on the basis of ratio analysis) [51] , COPRAS (Complex proportional assessment) [52] approaches and ranking results are given in Table 8 and Figure 4. Table 8 demonstrates that the alternative A-5 highest of all other alternatives and the alternative A-1 lowest when solved with all the methods.…”

Section: Resultsmentioning

confidence: 99%

Selection of materials with entropy-topsis by considering technological properties of impregnated wood

2022

View full text Add to dashboard Cite

In this study, the hybrid Entropy-TOPSIS method is applied to the problem of selecting an optimal impregnation material with maximum performance requirements. Swelling, shrinkage, bending strength, modulus of elasticity, compressive strength and shock strength values were used to rank the impregnation materials. Barite, boric acid, borax and their mixture were used to impregnation material. The impregnation materials used in the study generally increased the physical and mechanical properties of the spruce specimens, except swelling. The impregnation materials reduced the swelling of the specimens. According to the entropy method, the most important factor affecting the success of the impregnation process was the modulus of elasticity. According to the TOPSIS method, the most successful impregnation material was a mixture of barite and boric acid. Moreover, the proposed method was compared with other Multi-Criteria Decision-Making (MCDM) approaches and it can be used to ranking of impregnation materials with reliable accuracy.

show abstract

Section: Resultsmentioning

confidence: 99%

Selection of materials with entropy-topsis by considering technological properties of impregnated wood

2022

View full text Add to dashboard Cite

show abstract

“…In contrast to the subjective weighting method, the CRITIC weighting method does not require the decision maker to make a subjective judgment, thus avoiding the possibility of biased results. The steps for calculating indicator weights using the CRITIC method are as follows [30]:…”

Section: Methods For Calculating the Weight Of Indicatorsmentioning

confidence: 99%

A Novel Operating State Evaluation Method for Photovoltaic Strings Based on TOPSIS and Its Application

Wang

Liu

et al. 2023

Sustainability

View full text Add to dashboard Cite

PV strings are essential for energy conversion in large-scale photovoltaic (PV) power plants. The operating state of PV strings directly affects the power generation efficiency and economic benefits of PV power plants. In the process of evaluating PV arrays, a reference array needs to be identified. By comparing PV arrays with the reference array, the operational status of the PV arrays can be evaluated. However, in the actual operation of PV power stations, it is difficult to directly determine the reference state of a PV array due to random fluctuations in the PV power output. In order to solve the problems mentioned above, this paper proposes a method to select the reference state and perform a grading evaluation of PV strings. Additionally, the proposed method is based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm, which is used to rank the performance of PV arrays to determine their status. In order to solve the problem of random fluctuations in PV power generation, a probability distribution model of the PV string conversion efficiency was built by using the kernel density estimation method. Then, the characteristic indicator of the PV string’s operating state was described by the output power of the PV string and its probability distribution model. Then, based on the operating characteristic indicator, the reference state of the PV string was determined using the TOPSIS method, and the grading evaluation of the operating state of the PV string was realized. Finally, the effectiveness of the proposed method was verified using the actual data of a PV power station.

show abstract

“…Their research took a holistic strategy, combining CRITIC for criterion weight determination and CODAS for overall decision-making. The thermo-hydraulic characterization and design optimization of delta-shaped barriers in a solar water heating system were the topics of Khargotra et al [48]. There has been a considerable increase in the use of MCDM methods in diverse sectors, with a particular emphasis on methodologies such as WASPAS.…”

Section: A Literature Reviewmentioning

confidence: 99%

T-Spherical Fuzzy-CRITIC-WASPAS Model for the Evaluation of Cooperative Intelligent Transportation System Scenarios

Anjum,

Simic,

Alrasheedi

et al. 2024

IEEE Access

View full text Add to dashboard Cite

In response to the transportation industry's immediate need for more proactive and foresighted management, cooperative intelligent transportation systems (C-ITS) use wireless technology to foster real-time communication between vehicles and infrastructure, with the goal of increasing road safety and streamlining traffic flow. The introduction of self-powered sensors, which have the clever capacity to produce their own electricity, is critical for the reliability of transport operations across a wide range of C-ITS applications. Our analytical technique, which employs the criteria importance through intercriteria correlation (CRITIC) methodology and the weighted aggregated sum product assessment (WASPAS) approach, does not end there. We have taken it a step further by using the T-spherical fuzzy (T-SF) form of CRITIC-WASPAS, which adds a more subtle layer to our evaluation. We embark on an in-depth case study, methodically evaluating five choices against eight criteria. In the context of the CRITIC-WASPAS framework, the application of the T-SF logic enhances analytical precision by taking into account uncertainty throughout the decision-making process. This is particularly beneficial in the context of complex systems like C-ITS. The incorporation of CRITIC also makes it possible to evaluate the correlations between different criteria, which ultimately results in decision outcomes that are more nuanced and robust. This is accomplished by aggregating all of the criteria and options. This rigorous and intelligent strategy goes beyond simply meeting urgent system needs. It tactically impacts decision-making, moving the transport industry forward significantly.

show abstract

Thermo-hydraulic characterization and design optimization of delta-shaped obstacles in solar water heating system using CRITIC-COPRAS approach

Cited by 25 publications

References 43 publications

Selection of materials with entropy-topsis by considering technological properties of impregnated wood

Selection of materials with entropy-topsis by considering technological properties of impregnated wood

A Novel Operating State Evaluation Method for Photovoltaic Strings Based on TOPSIS and Its Application

T-Spherical Fuzzy-CRITIC-WASPAS Model for the Evaluation of Cooperative Intelligent Transportation System Scenarios

Contact Info

Product

Resources

About