Timeslice technology4/26/2023 ![]() Existing work has demonstrated clear advantages for this approach, but these advantages come at a running time cost. Nodes are represented as trajectories of adaptive complexity that are drawn directly in the three-dimensional space-time cube (2D + t). Event-based dynamic graph drawing rejects the notion of a timeslice and allows each node and edge to have its own real-valued time coordinate. However, when nodes and edges have real coordinates along the time axis, it becomes difficult to organize them into discrete timeslices, without a loss of temporal information due to projection. We should hopefully see a reduction in the output of windturbine to 0.The timeslice is the predominant method for drawing and visualizing dynamic graphs. Next, we can visualise our results as before. Once this has been saved, we can run the model again ( python -m muse settings.toml). We will, therefore, modify the TechnodataTimeslices.csv file by changing the values of UtilizationFactor. This may be because, for example, there is reduced wind during the day. Next, we want to ensure that the supply of windturbine does not exceed a certain value during the day. The supply increases linearly apart from during the 3rd timeslice, where it reduces to 2. Starting from a supply of 1 in the first timeslice and ending with a supply of 6 in the last timeslice. ![]() This is as specified in the TechnodataTimeslices.csv file. As we are modifying the power sector, we have to add it to the following section:Īs expected, for the year 2020, the gasCCGT supplies the electricity mix by the minimum per timeslice. This is done by modifying the respective section. Next, we must link this file to the settings.toml file. The UtilizationFactor column specifies the maximum utilization factor for the respective technologies in the respective timeslices, and the MinimumServiceFactor specifies the minimum service factor of a technology. The timeslice based columns, however, are dynamic and will match the levels as defined in the toml file. The majority of these columns are self explanatory, and correspond to the columns in other csv files - for instance, ProcessName, RegionName and Time. ![]() Notice that we have to specify the following columns: ProcessName, RegionName, Time, month, day, hour, UtilizationFactor, MinimumServiceFactor To do this, we will need to create a new csv file that specifies the minimum service factor per timeslice.Īn example of the file can be seen below, and downloaded here. This is the minimum that a technology can output per timeslice. Firstly, we will be imposing a minimium service factor for gasCCGT in the power sector. In this tutorial we will be amending the default example, which you can find here. Or, this could be a minimum constraint, where we expect a minimum amount of output by a nuclear power plant at all times. This could either by a maximum constraint, for instance with the solar PV example previously mentioned. In this section, we explain how to add constraints to outputs of technologies at certain timeslices. For instance, solar photovoltaics (PV) don’t produce power in the dark, and thus their output is limited at night. In some sectors it may be the case that a technology can only output a certain amount at a certain time.
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