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ZENODO
Model . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Model . 2025
License: CC BY
Data sources: Datacite
ZENODO
Model . 2025
License: CC BY
Data sources: Datacite
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Thermal Performance Analysis and Visualization App for UCN-Based Heat Simulations

Authors: Abdulhaq, Hawkar;

Thermal Performance Analysis and Visualization App for UCN-Based Heat Simulations

Abstract

This application is a Python-based tool designed to read and process UCN files generated from heat transport simulations. It enables users to identify and manage hot and cold wells for thermal energy injection and production, designate observation wells, and select specific layers for detailed analysis. The app offers integrated visualization features to plot temperature changes over time, supports dynamic simulation playback through an animation sub-module, and calculates thermal recovery efficiency for selected wells. It also provides options to export processed data for further use. This tool streamlines the interpretation and evaluation of HT-ATES simulation results by offering an interactive, user-friendly interface.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average