4E optimization in the solar energy storage unit with waste metal chips using taguchi-based grey relational analysis


ÇİNİCİ O. K., ÇAKIROĞLU R., Usta Y., ACIR A.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, cilt.150, sa.24, ss.20185-20201, 2025 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 150 Sayı: 24
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s10973-025-15028-4
  • Dergi Adı: JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Chemical Abstracts Core, Chimica, Compendex, Index Islamicus, INSPEC
  • Sayfa Sayıları: ss.20185-20201
  • Gazi Üniversitesi Adresli: Evet

Özet

In this study, energy, exergy, economic and environmental (4E) analysis was performed using waste metal chips as a sustainable heat transfer enhancer in a thermal energy storage system containing phase change material (PCM) incorporation-based solar energy. In this paper, the multi-objective optimization using Taguchi-based grey relational analysis was performed, and the 4E performance effects of determined parameters on the thermal energy storage system were investigated. Taguchi L9 orthogonal experimental design was used for multi-objective optimization. The contribution rates of the parameters determined in the experimental design were computed with the help of ANOVA analysis. The results illustrated that the optimal parameters were determined as A1B3C3 with copper waste metal chips (A1), 20 gr mass of the waste metal chip (B3), and 1000 W.m-2solar irradiance levels (C3), respectively. It was determined that the energy and exergy efficiencies with the waste metal chips integration of PCM thermal energy storage system were 94% and 16.5%, respectively, for A1B3C3 optimal parameters. Also, the optimal life-cycle cost and saved CO2 emissions of the thermal energy storage system were 0.185 kJ.$-1 and 18.616 kg.year-1, respectively, for the best optimal parameters. ANOVA results showed that solar irradiance (77.22%) had the most significant impact factor for 4E performance followed by types of waste metal chips (8.55%) and mass of the waste metal chip (4.14%). As a result, it was observed that the 4E analysis of the copper waste metal chip system gave the best result. This work is helpful to promote the research and application of waste metal chips integration of PCM thermal energy storage system in future.