A bottom-up method for feasible wind energy potential assessments, turbine and park placement

Tobias Jäger; Russell McKenna; Wolf Fichtner

doi:10.1109/EEM.2015.7216738

A bottom-up method for feasible wind energy potential assessments, turbine and park placement

Tobias Jäger
, Russell McKenna
, Wolf Fichtner

Karlsruhe Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Abstract

This work presents a bottom-up methodology based on graph-theoretical considerations to estimate the feasible potential as well as the economic costs of wind energy for the federal state of Baden-Württemberg in Germany on a wind farm level. Calculations are conducted based on high resolution land use data and wind speed data, using an algorithm to place wind farms by considering further constraints relating to land use planning. The feasible potential is found to be between 11.8 and 29.4 TWh, which is less than half than previous studies indicate for the technical potential since they neglect these constraints. Furthermore, a sensitivity analysis reveals a strong dependency on parameters of land use planning, as they are very land-consuming. As an important input factor for energy systems models these results may improve the quality of commercial and political decision-making.

Original language	English
Title of host publication	2015 12th International Conference on the European Energy Market
Publisher	IEEE Computer Society
Edition	EEM 2015
ISBN (Electronic)	9781467366915
DOIs	https://doi.org/10.1109/EEM.2015.7216738
Publication status	Published - 20 Aug 2015
Event	12th International Conference on the European Energy Market, EEM 2015 - Lisbon, Portugal Duration: 19 May 2015 → 22 May 2015

Publication series

Name	International Conference on the European Energy Market, EEM
Volume	2015-August
ISSN (Print)	2165-4077
ISSN (Electronic)	2165-4093

Conference

Conference	12th International Conference on the European Energy Market, EEM 2015
Country/Territory	Portugal
City	Lisbon
Period	19/05/15 → 22/05/15

UN SDGs

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

SDG 15 Life on Land

Keywords

Power generation economics
Wind energy
Wind farms

Access to Document

10.1109/EEM.2015.7216738

Cite this

Jäger, T., McKenna, R., & Fichtner, W. (2015). A bottom-up method for feasible wind energy potential assessments, turbine and park placement. In 2015 12th International Conference on the European Energy Market (EEM 2015 ed.). Article 7216738 (International Conference on the European Energy Market, EEM; Vol. 2015-August). IEEE Computer Society. https://doi.org/10.1109/EEM.2015.7216738

A bottom-up method for feasible wind energy potential assessments, turbine and park placement. / Jäger, Tobias; McKenna, Russell; Fichtner, Wolf.
2015 12th International Conference on the European Energy Market. EEM 2015. ed. IEEE Computer Society, 2015. 7216738 (International Conference on the European Energy Market, EEM; Vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Jäger, T, McKenna, R & Fichtner, W 2015, A bottom-up method for feasible wind energy potential assessments, turbine and park placement. in 2015 12th International Conference on the European Energy Market. EEM 2015 edn, 7216738, International Conference on the European Energy Market, EEM, vol. 2015-August, IEEE Computer Society, 12th International Conference on the European Energy Market, EEM 2015, Lisbon, Portugal, 19/05/15. https://doi.org/10.1109/EEM.2015.7216738

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AB - This work presents a bottom-up methodology based on graph-theoretical considerations to estimate the feasible potential as well as the economic costs of wind energy for the federal state of Baden-Württemberg in Germany on a wind farm level. Calculations are conducted based on high resolution land use data and wind speed data, using an algorithm to place wind farms by considering further constraints relating to land use planning. The feasible potential is found to be between 11.8 and 29.4 TWh, which is less than half than previous studies indicate for the technical potential since they neglect these constraints. Furthermore, a sensitivity analysis reveals a strong dependency on parameters of land use planning, as they are very land-consuming. As an important input factor for energy systems models these results may improve the quality of commercial and political decision-making.

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ER -

A bottom-up method for feasible wind energy potential assessments, turbine and park placement

Abstract

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UN SDGs

Keywords

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