Assessment of the Uncertainty Associated with Wind-Powered  Hydrogen Production Using Neutrosophic

Wonsiri Punurai; Jamil Afzal; Yiliu Liu; Ibrar Ahmad

Authors

Wonsiri Punurai Department of Civil and Environmental Engineering, Mahidol University, Thailand;
Jamil Afzal Department of Civil and Environmental Engineering, Mahidol University, Thailand;
Yiliu Liu Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Norway;
Ibrar Ahmad Southwest University of Political Science & Law China;

Keywords:

Neutrosophic Logic; Uncertainty of Hydrogen Production; Growth of Hydrogen Energy; Wind-Powered Hydrogen; Green Hydrogen Production

Abstract

This study aims to assess the uncertainty associated with hydrogen production,
particularly Wind-Powered hydrogen production using neutrosophic logic. Green hydrogen
production is considered an engine for sustainable development. Without clear policies and
standardized guidelines, investors may be hesitant to commit capital, potentially stifling the growth
that hydrogen energy could achieve. Data used in this study was collected from the Meteorological
Department of Pakistan, of the coastal belt (Gharo-Keti Bandar). Neutrosophic computation was
implemented for analysis because neutrosophic statistics, provide a robust framework for handling
uncertainty, indeterminacy, and inconsistency in data analysis. This study's results demonstrated
that Neutrosophic logic provides practical insight into the processing of interval-based data.
Moreover, graphs generated by Neutrosophic computation were very informative. They provided
point to point interval-based information to understand wind-powered hydrogen production
uncertainties. After practical implementation, we can say that Neutrosophic logic is best suited to
handle the uncertainties associated with wind-powered hydrogen production.

DOI: 10.5281/zenodo.15468003