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Innovative Elektrische Energietechnik für eine nachhaltige Energiewende!

Teil des Kompetenzzentrums für nachhaltige Energietechnik der Universität Paderborn (KET)

 Veranstalter des Elektrotechnischen Kolloquiums

Arbeitsfelder

  • Innovative Energieversorgungsstrukturen (zentral und dezentral)

  • Rationeller Energieeinsatz (Energieaufwandsminimierung im Aufbau, Betrieb, und Rückbau)

  • Nutzung regenerativer Energien (Potentialerfassung, effiziente Wandlung, hohe Gebrauchsdauer, Recycling, effektive CO2-Minderung)

  • Verbrauchsmanagement (Anpassung von Lastkurven an aktuelles regeneratives Energieangebot, Speicherminimierung)

 

Netzkenndaten

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Internationale Netzkenndaten

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Mitarbeiter

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Graduate Training 2023 in Tanzania

On behalf of the team of the A:RT-D Grids research project, Paderborn University (Germany), ECOLOG Institute Lüneburg (Germany), in partnership with the College of Engineering and Technology (CoET) of the University of Dar es Salaam invite you, with pleasure, to the 3rd Graduate Training (GT) for Sustainable Energy Development. This year’s GT will take place from August 7th to 11th, 2023 at the CoET of UDSM. This GT is organized by the A:RT-D Grids collaborators consisting of industrial and research partners from Africa and Europe. The A:RT-D Grids project focuses on international and interdisciplinary research to develop modern socio-technical systems to provide robust, intelligent, and decentralized power systems for rural communities in Africa.

Publikationen

Dimensioning and Lifetime Prediction Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink
M.C. Möller, S. Krauter, Solar 3 (2023) 25–48.
DOI
Evaluation of the Influence of Different Energy Usage Behavior, Component Dimensionings and PV Orientations on the Suitability and Lifetime of a Hybrid, Hydrogen-Based PV Energy System for a Private Household
M.C. Möller, S. Krauter, in: Proceedings of the 40th European Photovoltaik Solar Energy Conference and Exhibition, 2023.
PV Microinverters: Latest Efficiency Rankings, Energy Yield Assessments, Firmware Issues
S. Krauter, J. Bendfeld, in: Proceedings of the 40th European Photovoltaik Solar Energy Conference and Exhibition, 2023.
Combined Economic and Emission Dispatch of a Microgrid Considering Multiple Generators
G.H. Philipo, J.N. Kakande, S. Krauter, in: Proceedings of the 2023 IEEE PES/IAS PowerAfrica Conference, 2023.
Demand side management potential of refrigeration appliances
J.N. Kakande, G.H. Philipo, S. Krauter, in: Proceedings of the 2023 IEEE PES/IAS PowerAfrica Conference, 2023.
Demand-Side-Management for Optimal dispatch of an Isolated Solar Microgrid
G.H. Philipo, J.N. Kakande, S. Krauter, in: Proceedings of the 2023 IEEE AFRICON,  Nairobi, Kenya, 2023.
Microinverter testing update using high power modules: Efficiency, yield, and conformity to a new ”estimation formula” for variation of PV panel size
S. Krauter, J. Bendfeld, M.C. Möller, in: Proceedings of the 49th IEEE Photovoltaic Specialists Conference, 2022.
Model of a Self-Sufficient PV Home using a Hybrid Storage System based on Li-Ion Batteries and Hydrogen Storage with Waste Heat Utilization
M.C. Möller, S. Krauter, in: IEEE (Ed.), Proceedings of the 49th IEEE Photovoltaic Specialists Conference, 2022.
Hybrid Energy System Model in Matlab/Simulink based on Solar Energy, Lithium-Ion Battery and Hydrogen
M.C. Möller, S. Krauter, Energies / Special Issue “Sustainable Energy Concepts for Energy Transition” 15 (6), 2201 (2022).
DOI
Microinverter PV Systems: New Efficiency Rankings and Formula for Energy Yield Assessment for any PV Panel Size at different Microinverter types
S. Krauter, J. Bendfeld, in: Proceedings of the 8th World Conference on Photovoltaik Energy Conversion, 2022.
Optimal Design of a Semi Grid-Connected PV System for a Site in Lwak, Kenya Using HOMER
J.N. Kakande, G.H. Philipo, S. Krauter, in: Proceedings of the 8th World Conference on Photovoltaik Energy Conversion, 2022.
Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping
G.H. Philipo, J.N. Kakande, S. Krauter, Energies 15 (2022).
DOI
Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping
G.H. Philipo, J.N. Kakande, S. Krauter, Energies 15 (2022).
DOI
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Links

Art-D Grids DPS 2011 RIO 2015
KET DPS 2012 Forschung/Netzkenndaten

Virtueller Rundgang

Downloads

2019_Kairies_Batteriealterung_TU_Paderborn.pdf

pdf | 5 MB | Vortrag zur Batteriealterung

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2019_Kairies_Heimspeicher_TU_Paderborn.pdf

pdf | 9 MB | Vortrag über Heimspeicher

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Kontakt

Dorothea Hermann

Elektrische Energietechnik (EET)
Raum N1.107
Universität Paderborn
Pohlweg 55
33098 Paderborn

+49 5251 60-2301 E-Mail schreiben Wegbeschreibung

Elektrische Energietechnik (EET)

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