DEA provides the user information about energy demand and production at various levels of detail and allows to monitor the evolutions. The most important outputs are maps where the user can discover hot spots of energy demand or production by applying spatial filters.
The user can consult information in different formats and at various levels of detail. Depending on the configuration of the application, information is available about energy demand and energy production, both installed and potential. Information can be stored and consulted for various moments in time, typically years. Thus, monitoring of the evolution of the demand and/or production is possible. When it comes to potential energy production, various scenarios can be developed and stored as well. They are available for comparison within the tool.
All information can be consulted and exported at every level of the hierarchical tree and spatial entity as selected by the user. Thus information can be obtained about the total energy production potential down to that of a single technology. Similarly, information about the total energy demand, down to that of the single sector or activity. This can be at the level of the individual cell, or any aggregate of cells, be it administrative, physical or technical entities.
The most important outputs of the Dynamic Energy Atlas are maps. Essentially these are raster maps showing the values per cell. Spatial filters of various sorts can be applied on the raster maps in order to bring to the surface ‘hot spots’ of energy demand or production that otherwise are lost in the detail of the raster representation.
Choroplete maps at the municipal or other administrative levels are supported too. To the effect, the user enters, as part of the input, a map-layer featuring the borders of the regions of interest. The legends and colour palettes applied can be interactively defined to produce maps bringing a clear message.
In addition to maps, the Dynamic Energy Atlas generates in the form of a table and bar charts the ‘top 10’ technologies producing the energy, or, sectors consuming energy, per spatial entity of interest: total study area, per province, per municipality, etc.
More advanced analytical tools include: