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(1) All processes that reduce the mass of the glacier. (1) combined processes (such as sublimation, fusion or melting, evaporation) which remove snow or ice from the surface of a glacier or from a snow-field also used to express the quantity lost by these processes (2) reduction of the water equivalent of a snow cover by melting, evaporation, wind and avalanches.
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The results will be collected in a file called DemandPriceSensitivity.csv, which is also to be found in the TestRun output directory.The process by which ice and snow dissipate owing to melting and evaporation.
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Copy the required GDX input files into the vSPD Input folder.The remainder of this post sets out the steps required to take advantage of the price sensitivity functionality. To be clear, while this functionality is only accessible when using standalone vSPD, vSPD-online can still be used to undertake price sensitivity analysis, albeit not quite so conveniently. When the new functionality is activated, it also results in a new output file being produced that conveniently collects the results into a single file ready for further processing, such as running through a plotting script. The new capability enables price sensitivity experiments to be configured without having to explicitly construct an override. With the release of v3.0.0 of vSPD back in September 2016, we added the capability to quickly and easily configure the model to undertake price sensitivity experiments. For example, see Wholesale price/demand sensitivity or More demand response analysis. Both the standalone and online versions of the vSPD model have previously been used to study the impact on wholesale prices of changes in demand.