Quantifying Geothermal Potential: Embracing Uncertainty for Robust National Renewable Estimates

Main Article Content

Victor Christianto
Florentin Smarandache

Abstract

Geothermal energy, a stable and baseload renewable resource, holds significant promise for decarbonizing global energy systems. However, accurately quantifying its potential remains a challenge due to inherent geological uncertainties. Traditional single-value estimates often fail to capture the full spectrum of possibilities, leading to potentially misleading national renewable energy projections. This article explores the importance of incorporating uncertainty modelling into geothermal resource assessment and proposes a methodology for expressing national potential as a range, especially based on Neutrosophic Probability theory introduced by one of us (FS).

Downloads

Download data is not yet available.

Article Details

How to Cite
Christianto, V., & Smarandache, F. (2025). Quantifying Geothermal Potential: Embracing Uncertainty for Robust National Renewable Estimates. Neutrosophic Optimization and Intelligent Systems, 7, 25-31. https://doi.org/10.61356/j.nois.2025.7573
Section
Original Articles

How to Cite

Christianto, V., & Smarandache, F. (2025). Quantifying Geothermal Potential: Embracing Uncertainty for Robust National Renewable Estimates. Neutrosophic Optimization and Intelligent Systems, 7, 25-31. https://doi.org/10.61356/j.nois.2025.7573

Most read articles by the same author(s)

1 2 > >> 

Similar Articles

You may also start an advanced similarity search for this article.