Raj Kumar

The present research investigates and evaluates the performance of a dual-passage solar thermal air collector integrated with a staggered turbulator configuration using an analytical approach. Based on an analysis of energy and exergy, the impact of the staggered turbulator geometrical parameters on the dual-passage solar thermal air collector performance is evaluated analytically, and the findings have been compared with a traditional smooth plate. The current investigation analytically assesses the exergetic, effective, and thermal efficiencies of a dual-passage solar thermal air collector roughened with single V-shaped staggered baffles. A parametric design and temperature rise parameter are used to assess these efficiencies in order to accurately forecast the dual-passage solar thermal air collector energy consumption. Economic analysis, environmental analysis, enviroeconomic analysis, exergoeconomic analysis, exergoenvironmental analysis, and sustainability index are also examined by energetic and exergetic analytical research results. In accordance with the dual-passage solar thermal air collector system’s economic evaluation, the energy cost is determined to be 0.077 USD kWh ⁻¹ . The exergoeconomic and exergoenvironmental parameters are calculated to be 0.1716 kWh USD ⁻¹ and 0.5305 tons of CO ₂ over its life cycle. According to the enviroeconomic and environmental analysis, the dual-passage solar thermal air collector can mitigate 39.95 tons of CO ₂ over its life cycle (10 years), and the amount of earned carbon credit obtained is 579.27 USD.

This study aims to identify the most suitable slag waste-filled polymer composite for automotive braking applications. It employs a hybrid multi-criteria decision-making (MCDM) model that integrates the “method based on the removal effects of criteria” (MEREC) and the “root assessment method” (RAM) method. Eight slag waste-filled polymer composites, evaluated using seven performance-defining criteria, were considered in the MCDM analysis. The performance evaluation criteria included the friction coefficient, wear, friction fluctuations, friction stability, fade-recovery aspects, and rise in disk temperature. The criteria were weighted through the MEREC approach, which identified fade% (0.2890) and wear (0.2829) as the most important attributes in the assessment. The RAM was employed to rank the alternatives and suggested that the composite alternative with 60 wt.% slag waste and 5 wt.% coir fiber proved to be the best composition for automotive braking applications. The results were validated using nine MCDM models and Spearman correlation coefficients, which showed that the ranking of alternatives was consistent and stable even when the normalization steps of MEREC were swapped. Statistical validation demonstrated a strong predictive accuracy (p < 0.05) with a strong correlation coefficient (>0.8) alongside a minimal mean absolute error. Furthermore, sensitivity analysis was performed by examining several weight situations to determine whether the priority weights influenced the ranking of the composite alternatives. The findings from both the correlation and sensitivity analyses confirm the proposed hybrid MEREC-RAM model’s consistency and effectiveness.