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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.
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). | 0 | |
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. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |