Optimal siting of wind powered green hydrogen production in Bangladesh using interval-valued T-spherical fuzzy multi-criteria decision-making method


Ali T., AYTEKİN A., Demidionov M.

International Journal of Hydrogen Energy, cilt.217, 2026 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 217
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1016/j.ijhydene.2026.153931
  • Dergi Adı: International Journal of Hydrogen Energy
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Artic & Antarctic Regions, Chemical Abstracts Core, Chimica, Compendex, Environment Index, INSPEC
  • Anahtar Kelimeler: Hydrogen, Interval valued T-spherical fuzzy, Levelized cost of hydrogen, Multi-criteria decision-making, Wind turbine
  • Samsun Üniversitesi Adresli: Evet

Özet

The transition to a hydrogen-based energy system requires site-specific planning to ensure cost-effectiveness and sustainability. This study proposes an integrated framework combining Simple Weight Calculation (SIWEC) and Stable Preference Ordering Towards Ideal Solution (SPOTIS) within an interval-valued T-spherical fuzzy environment to identify optimal sites for wind-powered hydrogen production in Bangladesh. Ten years of ERA5 wind data at 100 m hub height were analyzed alongside techno-economic, climatic, geographical, socio-economic, and risk indicators derived from secondary sources and expert judgment. Results show moderate wind resources (3–5 m/s), with Noakhali, Thakurgaon, and Feni identified as the most suitable locations. The H165-4.0 MW turbine outperformed larger alternatives, yielding 58–68% higher energy output under local conditions. Sensitivity analysis reveals rectifier efficiency and discount rate as key drivers of levelized cost of hydrogen, while scenario analysis indicates a 47% cost reduction at top sites, highlighting policy and technology dependence.