The calculations for the T45 scenarios have started. With our models, which have been improved once again, we are investigating how Germany can become greenhouse gas neutral by 2045, taking into account current political goals.
The following scenarios are presented here.
Note:
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FORECAST-Industry is a bottom-up energy demand model. It maps the technology structure of industry and calculates energy consumption and emissions as well as costs at the process level. Input data for the modeling are overarching activity variables such as economic performance per industry, energy and CO2 prices, assumptions on instruments, structural data such as energy and GHG balances, and techno-economic data of the mapped technologies. For parameterization, statistical data, empirical studies, literature and expert estimates are used, which form the data basis of the model. FORECAST-Industry is hierarchically structured and divides industry into individual economic sectors or subsectors on the basis of energy balances. These are assigned processes, which are described by a specific energy consumption and an activity variable. Furthermore, technology areas such as electric motors, industrial furnaces, space heating and steam generation are modeled separately.
Source and further information can be found here.
The TN scenarios were calculated in 2021. We examine different paths for Germany with the goal of becoming greenhouse gas neutral by 2050. Even though the targets have become more ambitious in the meantime, many insights can be gained from comparing the total of 9 scenarios calculated in high resolution. A special feature of this study is the integrated consideration of electricity and gas grids, as well as the full European resolution on the supply side.
We hope you enjoy exploring these paths!
Note:
Occasionally, there may be problems with the display of dashboards in the Chrome browser. In incognito mode (Ctrl-Shift+N), this error can usually be corrected.
On 29.06.2021, more than 200 participants took part in the webinar on the industry sector. We would like to thank you for your lively interest! You can find the slide set here.
FORECAST-Industry is a bottom-up energy demand model. It maps the technology structure of industry and calculates energy consumption and emissions as well as costs at the process level. Input data for the modelling are activity variables such as physical production of energy-intensive processes, economic performance per sector, energy and CO2 prices, assumptions on instruments, structural data such as energy and GHG balances as well as techno-economic data of the mapped technologies. Statistical data, empirical studies, literature and expert estimates are used for parametrization. FORECAST-Industry is structured hierarchically and divides the industrial sector into subsectors on the basis of energy balances. These subsectors are further disaggregated into processes, described by specific energy consumption and physical activity. Furthermore, technology areas such as electric motors, industrial furnaces, space heating and steam generation are modelled separately and used to explain major trends in energy use.
Source and further information can be found here.