Recent  

The German site selection procedure to identify a site for the disposal of high-level radioactive waste is ongoing. The current step of the procedure includes representative preliminary safety analyses, for which the methodology is described and a first insight on the implementation is given. We aim to provide a document to boost communication and discussion with the scientific community and the public, although the implementation is at an early stage and may be subject to numerous changes.

Barite formation is an important factor for many use cases of the geological subsurface because it may change the rock. In this modelling study, the replacement reaction of celestite to barite is investigated. The steps that were identified to play a role are celestite dissolution followed by two-step precipitation of barite: spontaneous formation of small crystals and their subsequent growth. Explicitly including the processes improve the usability of the models for quantified prediction.

Space heating makes up around 67 % of the average energy consumption in german households. While this number decreases with increasing energy standards for buildings, many heating systems still run on fossil fuels. Here, we present a method to realistically estimate the heating demand of a building, This estimated heat demand is connected to a modelled geothermal energy source, for calculating, if geothermal energy can supply the needed heat, and if more such installations influence each other.

RedModRphree is an R extension package to leverage the PHREEQC engine for geochemical models, providing convenience functions to efficiently setup computations and program algorithms involving geochemical models. Version 0.3.6 ships with a novel implementation of Pourbaix (potential/pH) diagram computation which considers the full speciation of the solution at each diagram point.

Depletion of conventional hydrocarbon deposits requires implementation of the enhanced oil recovery methods, particularly based on carbon dioxide injection. The article aims at an accelerated optimisation of such methods performance by means of numerical modelling. We propose an optimisation algorithm based on the construction of a hierarchy of compositional reservoir models. We give examples of the algorithm application and discuss its performance.

We model two kinds of demand for public charging infrastructure: As compensation for the lack of home charging points, and based on points of interest. We combine those two demands with the available parking spaces and generate distributions for possible future charging points. We use a raster-based approach on a municipality’s full grid. The model is compared with three other models in a correlation comparison in order to determine the influence of certain model assumptions and input data.