The Dynamic Energy Atlas (DEA) is a generic information system for mapping the geographical distribution of energy demand, (renewable) energy production and potential (renewable) energy production.
Contrary to the traditional sources of energy, be it carbon based or nuclear, renewable energy sources are typically decentralised and put claims on the available space. In addition, the exploitation of some technologies, like geothermal, requires minimising distances between producers and consumers. Similarly, decentralised production increases the number of installations, and, conflicts with environmental legislation can arise in more locations too. The Dynamic Energy Atlas is precisely targeted at these problems at the interface between energy production and consumption, spatial planning and environmental concerns.
The Dynamic Energy Atlas enables to experiment with constraints of the kind as well as the technological characteristics of installations to assess the impact on the production capacity. It thus can help to bridge the gaps between the energy, spatial planning, and environmental domains, as well as the administrative levels at which decisions and policies are made.
The Dynamic Energy Atlas enables to solve energy issues, related to both demand and production, in a fully geographical context. It is a generically applicable spatially-explicit information system, built on top of quantitative models and databases. It represents the area studied as a regular raster of cellular entities. It is equipped with GIS functionalities. It is a tool to support policy making in domains where the geographical distribution of energy demand and energy production are at issue. This is typically the case in the quest for renewable energy in regions large and small.
The Dynamic Energy Atlas is used among others to:
The DEA is a user-friendly application that handles the bottom-up and/or top-down allocation and modelling of energy demand by users pertaining to various sectors in point (large consumers) and diffuse locations (small consumers), as well as energy production (both existing and additional) based on central generation and decentralized generation.
For each form of energy, be it electricity, heat, or fuels, the DEA produces maps of the demand per (sub-)sector, and the production per (sub-)technology at the level of cells in the raster as well as on spatial entities selected by the user which are a multiple of the cellular units. The DEA also produces reports of totals, by technology, by industry, by cell or group of cells, ...
From Renewable Energy Atlas Flanders: Potential for renewable electricity production according to the REV2030-scenario
The DEA features specialist allocation algorithms that take into account environmental, safety, spatial and other legislative constraints as imposed by policy with respect to the location of energy producing facilities, and, algorithms searching for optimal location of facilities based on spatial, technical and economic constraints (with respect to availability and transport of appropriate base materials). Such algorithms have been developed for and with customers such as: Flemish-Brabant Province, Limburg Province, and the Spatial Planning (Ruimte Vlaanderen), Environment (LNE), and Energy (VEA) departments of the Flemish Government.
The DEA is an important decision support system for governments, producers, distributors and (big) consumers of energy. The DEA gives a better insight in on-going and future transitions and anticipate and judge effects on their role in the system. This is certainly the case when assessing the potential of new locations for producing renewable energy.
Below you can find more detailed infomation about DEA or contact our team to see how we can assist you .