Quantifying Geothermal Potential: Embracing Uncertainty for Robust National Renewable Estimates

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).

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Publication Details

Journal
Neutrosophic Optimization and Intelligent Systems
Published
2025-08-04
DOI
https://doi.org/10.61356/j.nois.2025.7573
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantifying Geothermal Potential: Embracing Uncertainty for Robust National Renewable Estimates

Florentín Smarandache, Victor Christianto
Neutrosophic Optimization and Intelligent Systems
Process Optimization and Integration
article

Quantifying Geothermal Potential: Embracing Uncertainty for Robust National Renewable Estimates

Florentín Smarandache, Victor Christianto
article en

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).

Neutrosophic Optimization and Intelligent SystemsVol. 7
University of New Mexico (US), Institut Pertanian Malang (ID)
Openalex Percentile: Top 76%
Process Optimization and Integration
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