The most important input data for this model is NOS Energy Statistics in the form of time series. In addition it is necessary with time series for all activity measures (indicators) as building area, gross production, energy prices and investment costs for heating equipment. Time series are necessary to analyse historical trends, and (if any) break in the trends.
Availability of the statistics determines the geographical level for the model and the forecasts. So far, EFI-ENERGI is used on national - and county level, and for large cities. New regulations for local energy planning from NVE (the regulator), makes it relevant to adopt the statistic information and the model for municipal level, and a integration with the models used for other socioeconomical planning on county and municipal level (PANDA and KOMPAS). The time horizon is typically 5-20 years into the future. The main results are shown in the table below. The results can be taken out as tables or graphs.
|
Energy carrier |
Sector* |
End-use |
Energy level |
Network level |
|
Electricity |
Households |
Space heating |
Sales units |
Consumer |
|
Oil/interruptible power |
Industry |
Water heating |
Delivered energy |
Low voltage distribution |
|
Coal/coke |
Services |
Process |
Useful energy |
Distribution transformer |
|
Bio mass |
Transport |
Light |
|
High voltage distribution |
|
District heating/ cooling |
Miscellaneous |
Other electrical equipment |
|
Main distribution |
|
Natural gas |
|
Cooling |
|
Transmission (generator) |
|
Heat pump |
|
Transport |
|
|
|
(Emissions from energy use) |
|
|
|
|
* In addition to these main sectors, a more detailed disaggregation in building types and sub-sectors are used.
