At the prestigious International Royal Golden Fellow Award 2026 Ceremony, held alongside the Sixth International Conference on Research Methodology for Qualitative and Quantitative Research (COM 6.0 2026) on March 30–31, 2026, the selection committee reviewed a diverse range of high-quality research submissions marked by innovation and academic rigor. Among these, the abstract submitted by Shipon Chandra Barman stood out for its depth, clarity, and strong alignment with the conference theme. In recognition of this achievement, Mr. Barman was named one of the distinguished recipients of the Clean Energy Tech Award 2026, jointly conferred by Eudoxia Research University, USA, and the Eudoxia Research Centre, India.
During the conference, Mr. Barman presented his research titled Experimental Optimization of Photovoltaic Module Lamination Parameters Using Design of Experiments and Statistical Process Control. His work highlighted the critical role of manufacturing precision in determining photovoltaic (PV) module performance. The study focused on the lamination stage, where key parameters—temperature, pressure, and curing time—directly influence structural bonding, electrical stability, and defect formation. Using a full factorial Design of Experiments (DOE), he systematically analyzed lamination temperatures ranging from 140–160 °C, pressure levels between 0.70–0.90 MPa, and curing durations of 12–18 minutes across 60 experimental runs using monocrystalline silicon cells.
The findings demonstrated that optimized lamination conditions can significantly enhance module performance. Power output increased from 282.94 W to 287.62 W, while defect rates declined from 5.36% to 3.56%. Mechanical adhesion strength improved from 2.53 N/mm² to 2.95 N/mm², accompanied by improved thermal stability. The optimal configuration—155 °C temperature, 0.85 MPa pressure, and 18 minutes curing—achieved 286.74 W output with only a 2.83% defect rate and the highest recorded adhesion strength of 3.01 N/mm². Statistical Process Control (SPC) tools and process capability indices (Cp and Cpk) further confirmed enhanced production stability and reproducibility under optimized conditions.
The event brought together delegates from more than ten countries, uniting scholars, scientists, and industry professionals across five major award categories. The award selection process was overseen by an internationally recognized organizing committee comprising leading academic and institutional figures. Submissions were evaluated based on originality, technical rigor, innovation, sustainability, and contribution to industrial advancement.
Mr. Barman’s research received strong recognition for its scientific depth and practical relevance in improving photovoltaic manufacturing processes. By demonstrating how precise control of lamination parameters can enhance efficiency, reduce defects, and strengthen process reliability, his work contributes meaningfully to the advancement of scalable solar energy technologies.
His continued dedication to data-driven manufacturing and process optimization serves as an inspiration to emerging engineers and researchers worldwide. The Clean Energy Tech Award 2026 stands as a testament to his vision, technical excellence, and significant contribution to the future of sustainable energy systems.Top of Form
