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

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.