The GRIP Inventory

In the GRIP Inventory, the national data have to be inserted into the red fields of the GRIP topics energy production and consumption, industrial processes, waste and agriculture, and the correspondent sub-topics. These data are available for each country mainly from the UNFCCC statistics. From basic regional demographic data, GRIP then mathematically generates a regional greenhouse gas inventory.


The inventory can be rendered more detailed by inserting additional regional data into the green fields. Such regional data will then replace the national data of the inventory. Regional data can e.g. be obtained through EUROSTATS and through EPER, where more than 50.000 polluters are listed. In nearly 60 submenues, the polluters have to be identified, summarised and inserted into the inventory.

For a final optimisation of the inventory, non-published regional data are inserted additionally.

As regards energy production, only national data are being used and calculated in proportion to the region’s population, since a statistic based on local energy production would distort the regional inventory.

The GRIP Inventory is the basis for the regional Scenario Tool.

Learn more about the Inventory Tool.


The GRIP Scenario Tool

The GRIP Scenario Tool starts with a main page showing the gross value added (GVA) of the regional economy (Online example: Glasgow). The next 10 pages reflect the regional consumption (households, services, industry, transport and energy industry) and the national energy production.


Additional submenues distinguish between production and consumption. Assumptions concerning the regional increase of the GVA can be inserted. By changing the data on energy efficiency, energy savings, energy consumption and the percentage of renewable energies, scenarios can be simulated. The changes in the overall greenhouse gas balance and the reduction realised always are indicated in a special section on the top left of the page.

The scientific advisers will continuously correct non-realistic assumptions (e.g. an exagerated percentage of energy produced by biomass which surpasses the regional ressources).

The scenario simulation visualises CO2 reduction potentials and makes them comprehensible. Prejudices are confirmed or proved wrong, a consensual strategy for greenhouse gas reduction can be formulated.

Learn more about the Scenario Tool.


Step-by-step introduction to the scenario tool

(March 4, 2010).  An easy reading introduction to the GRIP scenario tool has now been authorized by the University of Manchester.
Every page and all the interdependencies are explained in an understandable way.It could be an efficient help to prepare stakeholders for the regional scenario workshops. A printable version can be downloaded here.