SECURES-Met - A European wide Meteorological Data Set suitable for Electricity Modelling (supply and demand) for Historical Climate and Climate Change Projections

Herbert Formayer; Philipp Maier; Imran Nadeem; David Leidinger; Fabian Lehner; Franziska Schöniger; Gustav Resch; Demet Suna; Peter Widhalm; Nicolas Pardo Garcia; Florian Haengst; Gerhard Totschnig

doi:10.5281/zenodo.7907883

SECURES-Met - A European wide Meteorological Data Set suitable for Electricity Modelling (supply and demand) for Historical Climate and Climate Change Projections

Herbert Formayer, Philipp Maier, Imran Nadeem, David Leidinger, Fabian Lehner, Franziska Schöniger, Gustav Resch, Demet Suna, Peter Widhalm, Nicolas Pardo Garcia, Florian Haengst, Gerhard Totschnig

Integrated Energy Systems

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

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Abstract

For the modelling of electricity production and demand, meteorological conditions are becoming more relevant due to the increasing contribution from renewable electricity production. But the requirements on meteorological data sets for electricity modelling are quite high. One challenge is
the high temporal resolution, since a typical time step for modelling electricity production and demand is one hour. On the other side the European electricity market is highly connected, so that a pure country based modelling does not make sense and at least the whole European Union area has to be considered. Additionally, the spatial resolution of the data set must be able to represent the thermal conditions, which requires high spatial resolution at least in mountainous regions. All these requirements lead to huge data amounts for historic observations and even more for climate change projections for the whole 21st century. Thus, we have developed an aggregated European wide data set that has a temporal resolution of one hour, covers the whole EU area, has a reasonable size but is considering the high spatial variability.

Original language	English
Title of host publication	IEWT Proceedings
Pages	1-3
Number of pages	3
DOIs	https://doi.org/10.5281/zenodo.7907883
Publication status	Published - 16 Feb 2023
Event	IEWT - 13. Internationale Energiewirtschaftstagung - Campus Gußhaus - TU Wien, Vienna, Austria Duration: 15 Feb 2023 → 17 Feb 2023 https://iewt2023.eeg.tuwien.ac.at/

Conference

Conference	IEWT - 13. Internationale Energiewirtschaftstagung
Abbreviated title	IEWT
Country/Territory	Austria
City	Vienna
Period	15/02/23 → 17/02/23
Internet address	https://iewt2023.eeg.tuwien.ac.at/

Research Field

Former Research Field - Integrated Energy Systems

Keywords

energy system modelling
energy meteorology
NUTS
climate change projections

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.5281/zenodo.7907883

Formayer Resch Suna 289_abstract_20221209_093910Accepted author manuscript, 293 KB

Cite this

Formayer, H., Maier, P., Nadeem, I., Leidinger, D., Lehner, F., Schöniger, F., Resch, G., Suna, D., Widhalm, P., Pardo Garcia, N., Haengst, F., & Totschnig, G. (2023). SECURES-Met - A European wide Meteorological Data Set suitable for Electricity Modelling (supply and demand) for Historical Climate and Climate Change Projections. In IEWT Proceedings (pp. 1-3). Article 269 https://doi.org/10.5281/zenodo.7907883

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title = "SECURES-Met - A European wide Meteorological Data Set suitable for Electricity Modelling (supply and demand) for Historical Climate and Climate Change Projections",

abstract = "For the modelling of electricity production and demand, meteorological conditions are becoming more relevant due to the increasing contribution from renewable electricity production. But the requirements on meteorological data sets for electricity modelling are quite high. One challenge is the high temporal resolution, since a typical time step for modelling electricity production and demand is one hour. On the other side the European electricity market is highly connected, so that a pure country based modelling does not make sense and at least the whole European Union area has to be considered. Additionally, the spatial resolution of the data set must be able to represent the thermal conditions, which requires high spatial resolution at least in mountainous regions. All these requirements lead to huge data amounts for historic observations and even more for climate change projections for the whole 21st century. Thus, we have developed an aggregated European wide data set that has a temporal resolution of one hour, covers the whole EU area, has a reasonable size but is considering the high spatial variability.",

keywords = "energy system modelling, energy meteorology, NUTS, climate change projections",

author = "Herbert Formayer and Philipp Maier and Imran Nadeem and David Leidinger and Fabian Lehner and Franziska Sch{\"o}niger and Gustav Resch and Demet Suna and Peter Widhalm and {Pardo Garcia}, Nicolas and Florian Haengst and Gerhard Totschnig",

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day = "16",

doi = "10.5281/zenodo.7907883",

language = "English",

pages = "1--3",

booktitle = "IEWT Proceedings",

note = "IEWT - 13. Internationale Energiewirtschaftstagung, IEWT ; Conference date: 15-02-2023 Through 17-02-2023",

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Formayer, H, Maier, P, Nadeem, I, Leidinger, D, Lehner, F, Schöniger, F, Resch, G , Suna, D , Widhalm, P , Pardo Garcia, N, Haengst, F & Totschnig, G 2023, SECURES-Met - A European wide Meteorological Data Set suitable for Electricity Modelling (supply and demand) for Historical Climate and Climate Change Projections. in IEWT Proceedings., 269, pp. 1-3, IEWT - 13. Internationale Energiewirtschaftstagung, Vienna, Austria, 15/02/23. https://doi.org/10.5281/zenodo.7907883

SECURES-Met - A European wide Meteorological Data Set suitable for Electricity Modelling (supply and demand) for Historical Climate and Climate Change Projections. / Formayer, Herbert; Maier, Philipp; Nadeem, Imran et al.
IEWT Proceedings. 2023. p. 1-3 269.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - SECURES-Met - A European wide Meteorological Data Set suitable for Electricity Modelling (supply and demand) for Historical Climate and Climate Change Projections

AU - Formayer, Herbert

AU - Maier, Philipp

AU - Nadeem, Imran

AU - Leidinger, David

AU - Lehner, Fabian

AU - Schöniger, Franziska

AU - Resch, Gustav

AU - Suna, Demet

AU - Widhalm, Peter

AU - Pardo Garcia, Nicolas

AU - Haengst, Florian

AU - Totschnig, Gerhard

PY - 2023/2/16

Y1 - 2023/2/16

N2 - For the modelling of electricity production and demand, meteorological conditions are becoming more relevant due to the increasing contribution from renewable electricity production. But the requirements on meteorological data sets for electricity modelling are quite high. One challenge is the high temporal resolution, since a typical time step for modelling electricity production and demand is one hour. On the other side the European electricity market is highly connected, so that a pure country based modelling does not make sense and at least the whole European Union area has to be considered. Additionally, the spatial resolution of the data set must be able to represent the thermal conditions, which requires high spatial resolution at least in mountainous regions. All these requirements lead to huge data amounts for historic observations and even more for climate change projections for the whole 21st century. Thus, we have developed an aggregated European wide data set that has a temporal resolution of one hour, covers the whole EU area, has a reasonable size but is considering the high spatial variability.

AB - For the modelling of electricity production and demand, meteorological conditions are becoming more relevant due to the increasing contribution from renewable electricity production. But the requirements on meteorological data sets for electricity modelling are quite high. One challenge is the high temporal resolution, since a typical time step for modelling electricity production and demand is one hour. On the other side the European electricity market is highly connected, so that a pure country based modelling does not make sense and at least the whole European Union area has to be considered. Additionally, the spatial resolution of the data set must be able to represent the thermal conditions, which requires high spatial resolution at least in mountainous regions. All these requirements lead to huge data amounts for historic observations and even more for climate change projections for the whole 21st century. Thus, we have developed an aggregated European wide data set that has a temporal resolution of one hour, covers the whole EU area, has a reasonable size but is considering the high spatial variability.

KW - energy system modelling

KW - energy meteorology

KW - NUTS

KW - climate change projections

U2 - 10.5281/zenodo.7907883

DO - 10.5281/zenodo.7907883

M3 - Conference Proceedings with Oral Presentation

SP - 1

EP - 3

BT - IEWT Proceedings

T2 - IEWT - 13. Internationale Energiewirtschaftstagung

Y2 - 15 February 2023 through 17 February 2023

ER -

SECURES-Met - A European wide Meteorological Data Set suitable for Electricity Modelling (supply and demand) for Historical Climate and Climate Change Projections

Abstract

Conference

Research Field

Keywords

UN SDGs

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