Institute for Automation and Applied Informatics

List of Publications


2021
The near-optimal feasible space of a renewable power system model.
Neumann, F.; Brown, T.
2021. Electric power systems research, 190, Art.Nr. 106690. doi:10.1016/j.epsr.2020.106690
Costs of regional equity and autarky in a renewable European power system.
Neumann, F.
2021. Energy strategy reviews, 35, Article no: 100652. doi:10.1016/j.esr.2021.100652
Hierarchical approach for coordinating energy and flexibility trading in local energy markets.
Gazafroudi, A. S.; Khorasany, M.; Razzaghi, R.; Laaksonen, H.; Shafie-khah, M.
2021. Applied Energy, 302, Art.-Nr.: 117575. doi:10.1016/j.apenergy.2021.117575
Decreasing market value of variable renewables can be avoided by policy action.
Brown, T.; Reichenberg, L.
2021. Energy economics, 100, Article: 105354. doi:10.1016/j.eneco.2021.105354
Computational and Near-Optimal Trade-Offs in Renewable Electricity System Modelling. PhD dissertation.
Neumann, F.
2021, September 13. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000137267
atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series.
Hofmann, F.; Hampp, J.; Neumann, F.; Brown, T.; Hörsch, J.
2021. The journal of open source software, 6 (62), Art.-Nr.: 3294. doi:10.21105/joss.03294
Unravelling the opposing effects of network clustering on electricity system models with high shares of renewables.
Frysztacki, M.; Hörsch, J.; Hagenmeyer, V.; Brown, T.
2021, April. European Geosciences Union General Assembly (EGU 2021), Online, April 19–30, 2021
The strong effect of network resolution on electricity system models with high shares of wind and solar.
Frysztacki, M. M.; Hörsch, J.; Hagenmeyer, V.; Brown, T.
2021. Applied energy, 291, Article: 116726. doi:10.1016/j.apenergy.2021.116726
2020
Early decarbonisation of the European energy system pays off.
Victoria, M.; Zhu, K.; Brown, T.; Andresen, G. B.; Greiner, M.
2020. Nature Communications, 11 (1), Art.-Nr. 6223. doi:10.1038/s41467-020-20015-4
Hydrogen refueling station networks for heavy-duty vehicles in future power systems.
Rose, P. K.; Neumann, F.
2020. Transportation research / D, 83, Article no: 102358. doi:10.1016/j.trd.2020.102358
Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review.
Khajeh, H.; Laaksonen, H.; Gazafroudi, A. S.; Shafie-khah, M.
2020. Energies, 13 (1), Art. Nr.: 165. doi:10.3390/en13010165
Robust scheduling of Electric Vehicle Charging in LV Distribution Networks under Uncertainty.
Sun, W.; Neumann, F.; Harrison, G. P.
2020. IEEE transactions on industry applications, 56 (5), 5785–5795. doi:10.1109/TIA.2020.2983906
The role of photovoltaics in a sustainable European energy system under variable CO emissions targets, transmission capacities, and costs assumptions.
Victoria, M.; Zhu, K.; Brown, T.; Andresen, G. B.; Greiner, M.
2020. Progress in photovoltaics, 28 (6), 483–492. doi:10.1002/pip.3198
Modelling Curtailment in Germany: How spatial resolution impacts line congestion.
Frycztacki, M.; Brown, T.
2020. 2020 17th International Conference on the European Energy Market (EEM), Paper no.: 1241, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM49802.2020.9221886
Transmission Expansion Planning Using Cycle Flows.
Neumann, F.; Brown, T.
2020. Proceedings of the Eleventh ACM International Conference on Future Energy Systems, Melbourne, Australia from 22nd to 26th of June 2020, 253–263, Association for Computing Machinery (ACM). doi:10.1145/3396851.3397688
Mitigating heat demand peaks in buildings in a highly renewable European energy system.
Zeyen, E.; Hagenmeyer, V.; Brown, T.
2020. Applied energy
Clustering Dataset.
Frysztacki, M.; Hörsch, J.; Hagenmeyer, V.; Brown, T. W.
2020. doi:10.5281/zenodo.3965781
The strong effect of resource granularity and network bottlenecks on highly renewable electricity system models.
Frysztacki, M.; Brown, T. W.
2020, April 3. Workshop Aggregation Methods for Renewable Infeed Profiles in Energy System Models (2020), Duisburg, Germany, April 2–3, 2020
PyPSA-Eur-Sec Version 0.1.0.
Brown, T.; Victoria, M.; Zeyen, E.
2020. Zenodo. doi:10.5281/zenodo.3938042
PyPSA-Eur: An Open Optimisation Model of the European Transmission System (v0.2.0, Code).
Hörsch, J.; Neumann, F.; Hofmann, F.; Schlachtberger, D.; Brown, T.
2020. doi:10.5281/zenodo.3885701
PyPSA-Eur: An Open Optimisation Model of the European Transmission System (v0.2.0, Dataset).
Hörsch, J.; Neumann, F.; Hofmann, F.; Schlachtberger, D.; Brown, T.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5281/zenodo.3886532
Python for Power System Analysis (PyPSA) Version 0.17.0.
Brown, T.; Hörsch, J.; Schlachtberger, D.; Neumann, F.; Hofmann, F.
2020. doi:10.5281/zenodo.3724336
The Near-Optimal Feasible Space of a Renewable Power System Model.
Neumann, F.; Brown, T.
2020. 21st Power Systems Computation Conference, Porto, P, June 29 - July 03, 2020 (PSCC 2020)
Python for Power System Analysis (PyPSA) Version 0.16.0.
Brown, T.; Hörsch, J.; Schlachtberger, D.
2020, January 10. doi:10.5281/zenodo.3604277
2019
The role of storage technologies throughout the decarbonisation of the sector-coupled European energy system.
Victoria, M.; Zhu, K.; Brown, T.; Andresen, G. B.; Greiner, M.
2019. Energy conversion and management, 201, Article no: 111977. doi:10.1016/j.enconman.2019.111977
The role of hydro power, storage and transmission in the decarbonization of the Chinese power system.
Liu, H.; Brown, T.; Andresen, G. B.; Schlachtberger, D. P.; Greiner, M.
2019. Applied energy, 239, 1308–1321. doi:10.1016/j.apenergy.2019.02.009
Impact of CO2 prices on the design of a highly decarbonised coupled electricity and heating system in Europe.
Zhu, K.; Victoria, M.; Brown, T.; Andresen, G. B.; Greiner, M.
2019. Applied energy, 236, 622–634. doi:10.1016/j.apenergy.2018.12.016
Performing energy modelling exercises in a transparent way - The issue of data quality in power plant databases.
Gotzens, F.; Heinrichs, H.; Hörsch, J.; Hofmann, F.
2019. Energy strategy reviews, 23, 1–12. doi:10.1016/j.esr.2018.11.004
Flexibility From Energy Systems Integration: Supporting Synergies Among Sectors.
Orths, A.; Anderson, C. L.; Brown, T.; Mulhern, J.; Pudjianto, D.; Ernst, B.; OMalley, M.; McCalley, J.; Strbac, G.
2019. IEEE power & energy magazine, 17 (6), 67–78. doi:10.1109/MPE.2019.2931054
Counter-intuitive behaviour of energy system models under CO₂ caps and prices.
Weber, J.; Heinrichs, H. U.; Gillessen, B.; Schumann, D.; Hörsch, J.; Brown, T.; Witthaut, D.
2019. Energy, 170, 22–30. doi:10.1016/j.energy.2018.12.052
Heuristics for Transmission Expansion Planning in Low-Carbon Energy System Models.
Neumann, F.; Brown, T.
2019. 16th International Conference on the European Energy Market (EEM 19), 18 - 20 September 2019, Ljubljana, Slovenia, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM.2019.8916411
Python for Power System Analysis (PyPSA) Version 0.14.0.
Brown, T.; Hörsch, J.; Schlachtberger, D.
2019. Zenodo. doi:10.5281/zenodo.2845242
Python for Power System Analysis (PyPSA) Version 0.15.0.
Brown, T.; Hörsch, J.; Schlachtberger, D.; Neumann, F.; Neumann, D.
2019. Zenodo. doi:10.5281/zenodo.3532651
Energy Models.
Hörsch, J.
2019
Principal flow paterns across renewable electricity networks.
Schäfer, M.; Hofmann, F.; Kruse, J.; Brown, T.; Hörsch, J.; Schramm, S.; Greiner, M.
2019. DPG-Frühjahrstagung der Sektion Kondensierte Materie (SKM), Fachverband Physik sozio-ökonomischer Systeme (2019), Regensburg, Germany, March 31–April 5, 2019
Decarbonization of the European energy system with strong sector couplings.
Zhu, K.; Victoria, M.; Brown, T.; Andresen, G. B.
2019. 83. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen (SAMOP), Arbeitskreis Energie (2019), Rostock, Germany, March 10–15, 2019
2018
Response to ‘Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems’.
Brown, T. W.; Bischof-Niemz, T.; Blok, K.; Breyer, C.; Lund, H.; Mathiesen, B. V.
2018. Renewable & sustainable energy reviews, 92, 834–847. doi:10.1016/j.rser.2018.04.113
PyPSA-Eur: An open optimisation model of the European transmission system.
Hörsch, J.; Hofmann, F.; Schlachtberger, D.; Brown, T.
2018. Energy strategy reviews, 22, 207–215. doi:10.1016/j.esr.2018.08.012
The impact of climate change on a cost-optimal highly renewable European electricity network.
Schlott, M.; Kies, A.; Brown, T.; Schramm, S.; Greiner, M.
2018. Applied energy, 230, 1645–1659. doi:10.1016/j.apenergy.2018.09.084
Flow-based analysis of storage usage in a low-carbon european electricity scenario.
Tranberg, B.; Schafer, M.; Brown, T.; Horsch, J.; Greiner, M.
2018. 15th International Conference on the European Energy Market, EEM 2018; Lodz; Poland; 27 June 2018 through 29 June 2018, Art. Nr.: 8469951, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM.2018.8469951
Principal flow patterns across renewable electricity networks.
Hofmann, F.; Schäfer, M.; Brown, T.; Hörsch, J.; Schramm, S.; Greiner, M.
2018. epl, 124 (1), Article No.18005. doi:10.1209/0295-5075/124/18005
The impact of sector-coupling on transmission reinforcement needs in a highly-renewable European energy scenario.
Hörsch, J.; Hagenmeyer, V.; Brown, T.
2018. 17th Wind Integration Workshop (2018), Stockholm, Sweden, October 18, 2018
Flow-based analysis of storage usage in a low-carbon European electricity scenario.
Tranberg, B.; Schäfer, M.; Brown, T.; Hörsch, J.; Greiner, M.
2018

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