DEA Output

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 spotsof 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:

  1. Spatial optimisation tools enabling the optimal location of:
    1. individual wind turbines and (deep) geothermal power plants of a given capacity in the areas fit for it and defined on the basis of spatial optimisation or other input information.
    2. various types of biomass installations: pocket digesters, agricultural digesters, wood burning installations, and green waste installations. The optimisation takes into account the capacity of the installation, the type, size and location of the relevant biomass stocks, the shipment costs of the biomass, the legislative constraints with respect to the location of the installation, etc.
  2. A tool to perform a cost benefit calculation with respect to the potential for the exchange and use of heat available from industry, electricity plants, incinerators, etc. The tool demarcates on the map the areas that would benefit (= benefits exceed costs) from the heat available, taking into consideration the presence of excess heat sources, the demand for heat by the various consumers present, and, the costs of the heat network connecting the source and the consumers.
  3. A tool for the delineation of so called ‘energy landscapes’. The latter are contiguous areas of a given maximum size capable of generating a given amount of energy by means of selected technologies, and, installations located within a given distance from one another.