Published June 23, 2025 | Version v1
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Data archive for 'Strategizing Renewable Energy Transitions to Preserve Sediment Transport Integrity'

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Description

This repository contains the uncertainty analysis outputs for the paper "Strategizing Renewable Energy Transitions to Preserve Sediment Transport Integrity."

Our study employs an integrated water-sediment-energy modeling framework (coupling SWAT, PREP-SHOT, and CASCADE) to assess energy-sediment trade-offs. The framework incorporates multiple parameters influencing key outputs, including system costs, sediment delivery, and energy mix. Major uncertainty sources include cost inputs, inflow variability, renewable resource potential, sediment trapping efficiency, and the economic valuation of sediment.

To evaluate result robustness, we conducted a comprehensive uncertainty analysis examining cost savings, generation mix, sediment delivery to the Mekong Delta, and associated trade-offs. The analysis comprises 72,900 scenarios. For scenario-specific inputs and uncertainty analysis implementation, see:
https://github.com/PREP-NexT/Mekong-Energy-Sediment

For details on PREP-SHOT models, visit:
https://github.com/PREP-NexT/PREP-SHOT

Files

uncertainty_output_0_72899.zip

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Additional details

Software

Repository URL
https://github.com/PREP-NexT/Mekong-Energy-Sediment
Programming language
Python
Development Status
Active