Data Documentation for the German Electricity Market Used for the Calibration of the GATE Model - NDP 2030 (Version 2017)

14 Pages Posted: 3 May 2021

See all articles by Mirjam Ambrosius

Mirjam Ambrosius

Friedrich-Alexander-Universität Erlangen-Nürnberg

Veronika Grimm

University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg - School of Business & Economics

Bastian Rückel

University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg - School of Business & Economics

Christian Sölch

University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg

Gregor Zöttl

Friedrich Alexander Universität Erlangen Nürnberg

Date Written: April 23, 2021

Abstract

In this data documentation, we provide detailed information on the data that is used in order to calibrate the GATE model. Since we are looking at the hypothetical German electricity market in 2035 and the resulting investment incentives, we have to select all exogenous parameters based on future predictions for this period. We consider the German market area since excellent data are available from the political processes that accompany the network expansion planning procedure. In order to ensure a high degree of consistency of the exogenous parameters - and in order to allow comparisons with other predictions for that market area - we predominantly use input parameters from the Network Development Plan Electricity (NDP) which is the official basis for network expansion planning in Germany. Hereby, we mainly rely on the NDP 2030, where network expansion required until 2030 is determined, in its 2017 version.

Keywords: Electricity Market Modeling, Electricity Market Data, Data Documentation

Suggested Citation

Ambrosius, Mirjam and Grimm, Veronika and Rückel, Bastian and Sölch, Christian and Zöttl, Gregor, Data Documentation for the German Electricity Market Used for the Calibration of the GATE Model - NDP 2030 (Version 2017) (April 23, 2021). Available at SSRN: https://ssrn.com/abstract=3832880 or http://dx.doi.org/10.2139/ssrn.3832880

Mirjam Ambrosius

Friedrich-Alexander-Universität Erlangen-Nürnberg ( email )

Lange Gasse 20
Lange Gasse 20,
Nürnberg, 90403
Germany

Veronika Grimm

University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg - School of Business & Economics ( email )

Nuremburg
Germany

Bastian Rückel

University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg - School of Business & Economics ( email )

Nuremburg
Germany

Christian Sölch (Contact Author)

University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg ( email )

Lange Gasse 20
Nuremberg, Bavaria 90403
Germany

Gregor Zöttl

Friedrich Alexander Universität Erlangen Nürnberg ( email )

Nuremburg
Germany

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