Parametric optimization of energy and exergy analyses of a novel solar air heater with grey relational analysis

Acır, Adem; Canlı, Mehmet Emin; Ata, İsmail; Çakıroğlu, Ramazan

doi:10.1016/j.applthermaleng.2017.05.018

Cited by 86 publications

(36 citation statements)

References 20 publications

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“…Among the studies conducted on the GRA method and solar energy data is the work of Kou et al [54] on the optimization of the collection process of flat plates with multiple qualitative characteristics in the production of solar energy collectors. Acır et al [55] identified the optimal parameters influencing the energy efficiency of solar air heaters by using the GRA method. Tiwari et al [56] used GRA to examine the effects of four controllable parameters (fuel blend, boiling point, inlet temperature and bending point temperature) of a solar organic Rankine cycle on energy efficiency.…”

Section: Gra Applicationmentioning

confidence: 99%

Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information

et al. 2020

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Encountering a problem or error in the final stages of providing products or services increases costs and delays scheduling. The key task is to ensure quality and reliability in the early stages of the production process and prevent errors from occurring from the beginning. Failure mode and effect analysis (FMEA) is one of the tools for identifying potential problems and their impact on products and services. The conventional FMEA technique has been criticized extensively due to its disadvantages. In this study, the concepts of uncertainty and reliability are considered simultaneously. The processes of weighting risk factors, prioritizing failures by using the stepwise weight assessment ratio analysis (SWARA)–gray relational analysis (GRA) integrated method based on Ζ-number theory and complete prioritization of failures are implemented. Crucial management indices, such as cost and time, are considered in addition to severity, occurrence and detection factors along with assigning symmetric form of the weights to them. This, in turn, increases the interpretability of results and reduces the decision-maker’s subjectivity in risk prioritization. The developed model is implemented on solar panel data with 19 failure modes determined by the FMEA team. Results show that the proposed approach provides a more complete and realistic prioritization of failures than conventional FMEA and fuzzy GRA methods do.

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Section: Gra Applicationmentioning

confidence: 99%

Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information

et al. 2020

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“…The most important point in the normalization of factor series is the type of approach which is to be used. As an example if the points in the series are wanted to be bigger values, points having bigger values in the linear normalization get values close to "1" and points having small values will get values close to "0" [24][25][26]. Normalization of the test results can be made with the following three different approaches;…”

Section: Determination Of Machining Parameters 31 Grey Relational Anmentioning

confidence: 99%

Evaluation of Cutting Parameters by Determination of the Grey Correlation Analysis Methods of the Effects on the Cutting Force and Surface Roughness of Duplex Stainless Steels (2205)

Mavi

2020

Teh. vjesn.

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In this study, the effects of coated (TiAlN and TiN) drills and cutting parameters on drilling performance were investigated. Drilling operations were carried out by drilling holes 20 mm deep with 5 mm diameter drills on duplex stainless steel (2205). Three different cutting speeds (15, 20 and 25 m/min) and three different feed rates (0.05, 0.075 and 0.1 mm/min) were used in the experiments. The effects of different drills and cutting parameters on the cutting force and surface roughness are measured. Experiments were made in full factorial and optimum conditions were determined for the values measured by the gray relational analysis method. According to the gray correlation analysis value, it was found that the feed rates on the cutting force and surface roughness had a greater effect than the other factors. In addition, variance analysis (ANOVA) was performed to determine the effects of cutting parameters on cutting force (Fc) and surface roughness (Ra). According to ANOVA results, it is determined that the most effective parameter on Ra is the feed rate and the most effective parameter on the second degree is the cutting speed.

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“…They observed that the exergy efficiency for the counter flow double‐pass type was more significant than for the single flow pass type by 2.63% and 1.48% for flat and V‐corrugated absorber plates, respectively. Acir et al 23 presented a parametric study of a novel SAH designed to optimize the variables that most affect energetic and exergetic performance. It was found that the Re number was the most important parameter for enhancing energy and exergy efficiencies.…”

Section: Introductionmentioning

confidence: 99%

Analysis of exergetic performance for a solar air heater with metal foam fins

2020

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In this experimental study, an exergetic analysis is presented for solar air heaters (SAHs) that have absorber plates equipped with different fin arrangements. The following two types of fins were used: solid fins (conventional) and metal foam fins. Longitudinal, staggered, and corrugated fin arrangements in SAHs were investigated under the weather conditions experienced in Baghdad, Iraq in February to April 2018. The exergy efficiency and exergy loss of the SAHs were evaluated for five air mass flow rates ranging from 0.011 to 0.059 kg/s. Based on the exergy analysis, SAHs with metal foam fins are more efficient than those with solid fins. In addition, corrugated metal foam fins introduce more turbulent flow than the other fin configurations. It was found that the exergy loss and the exergy efficiency were directly proportional to the values of solar irradiance and air mass flow rates. At solar noon, the maximum values for exergy change were 127 and 89 W/m2 for air mass flow rates of 0.011 and 0.059 kg/s, respectively.

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Parametric optimization of energy and exergy analyses of a novel solar air heater with grey relational analysis

Cited by 86 publications

References 20 publications

Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information

Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information

Evaluation of Cutting Parameters by Determination of the Grey Correlation Analysis Methods of the Effects on the Cutting Force and Surface Roughness of Duplex Stainless Steels (2205)

Analysis of exergetic performance for a solar air heater with metal foam fins

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