TY - JOUR A1 - Hasler, Ewald A1 - Huber, Christian A1 - Leindecker, Herbert C. A1 - Schrag, Tobias A1 - Stocker, Emanuel A1 - Wartha, Christian T1 - Bewertung unterschiedlicher Fassadenkonstruktionen unter Lebenszyklusaspekten mit einer Fallstudie Bürogebäude JF - Bauphysik UR - https://doi.org/10.1002/bapi.201310072 Y1 - 2013 UR - https://doi.org/10.1002/bapi.201310072 SN - 1437-0980 VL - 35 IS - 4 SP - 250 EP - 256 PB - Ernst & Sohn CY - Berlin ER - TY - JOUR A1 - Küppers, Martin A1 - Perau, Christian A1 - Franken, Marco A1 - Heger, Hans Jörg A1 - Huber, Matthias A1 - Metzger, Michael A1 - Niessen, Stefan T1 - Data-Driven Regionalization of Decarbonized Energy Systems for Reflecting Their Changing Topologies in Planning and Optimization JF - Energies N2 - The decarbonization of energy systems has led to a fundamental change in their topology since generation is shifted to locations with favorable renewable conditions. In planning, this change is reflected by applying optimization models to regions within a country to optimize the distribution of generation units and to evaluate the resulting impact on the grid topology. This paper proposes a globally applicable framework to find a suitable regionalization for energy system models with a data-driven approach. Based on a global, spatially resolved database of demand, generation, and renewable profiles, hierarchical clustering with fine-tuning is performed. This regionalization approach is applied by modeling the resulting regions in an optimization model including a synthesized grid. In an exemplary case study, South Africa’s energy system is examined. The results show that the data-driven regionalization is beneficial compared to the common approach of using political regions. Furthermore, the results of a modeled 80% decarbonization until 2045 demonstrate that the integration of renewable energy sources fundamentally changes the role of regions within South Africa’s energy system. Thereby, the electricity exchange between regions is also impacted, leading to a different grid topology. Using clustered regions improves the understanding and analysis of regional transformations in the decarbonization process. UR - https://doi.org/10.3390/en13164076 KW - spatial clustering KW - energy system model KW - optimization KW - GIS KW - South Africa KW - energy transition Y1 - 2020 UR - https://doi.org/10.3390/en13164076 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-31469 SN - 1996-1073 VL - 13 IS - 16 PB - MDPI CY - Basel ER - TY - CHAP A1 - Reway, Fabio A1 - Funk Drechsler, Maikol A1 - Murthy, Ravikiran A1 - Poledna, Yuri A1 - Huber, Werner A1 - Icking, Christian T1 - Simulation-based test methods with an automotive camera-in-the-loop for automated driving algorithms T2 - 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) UR - https://doi.org/10.1109/ICECCME55909.2022.9988437 KW - sensor-in-the-loop KW - automate driving KW - testing Y1 - 2022 UR - https://doi.org/10.1109/ICECCME55909.2022.9988437 SN - 978-1-6654-7095-7 PB - IEEE CY - Piscataway (NJ) ER - TY - CHAP A1 - Botsch, Michael A1 - Huber, Werner A1 - Balasubramanian, Lakshman A1 - Flores Fernandez, Alberto A1 - Geisler, Markus A1 - Gudera, Christian A1 - Morales Gomez, Mauricio Rene A1 - Riegl, Peter A1 - Sánchez Morales, Eduardo A1 - Chandra Sekaran, Karthikeyan A1 - Weinzierl, Michael T1 - Data Collection and Safety Use Cases in Smart Infrastructures T2 - 15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings UR - https://doi.org/10.1145/3581961.3609858 KW - smart infrastructure KW - infrared camera KW - LiDAR sensor KW - sensor data fusion KW - safety use case Y1 - 2023 UR - https://doi.org/10.1145/3581961.3609858 SN - 979-8-4007-0112-2 SP - 333 EP - 336 PB - ACM CY - New York ER -