TY - JOUR A1 - Dotzauer, Martin A1 - Pfeiffer, Diana A1 - Lauer, Markus A1 - Pohl, Marcel A1 - Mauky, Eric A1 - Bär, Katharina A1 - Sonnleitner, Matthias A1 - Zörner, Wilfried A1 - Hudde, Jessica A1 - Schwarz, Björn A1 - Faßauer, Burkhardt A1 - Dahmen, Markus A1 - Rieke, Christian A1 - Herbert, Johannes A1 - Thrän, Daniela T1 - How to measure flexibility - Performance indicators for demand driven power generation from biogas plants JF - Renewable Energy N2 - Flexible power provision from biogas can significantly contribute to energy systems with high shares of renewables. However, the characteristics and demands for this flexibility are not clearly defined or measured. In this paper eight indicators are defined to shape “flexibility” and perform a downstream investigation of eight research projects focusing on flexible energy provision of biogas plants. The indicators are structured in three dimensions (1) velocity (ramps) by which the system can be modulated, (2) power range (bandwidth) and (3) duration for specific load conditions. Based on these indicators bottlenecks for the flexibility potential were identified. One crucial result shows that short-term flexibility of biogas plants is mainly driven by properties of the combined heat and power unit (velocity and bandwidth). The long-term flexibility depends mainly on gas storage, mode of operation and ability for modulation of the target gas production. UR - https://doi.org/10.1016/j.renene.2018.10.021 KW - Demand-orientated power generation KW - Flexible bioenergy generation KW - Biogas plants KW - Flexibility indicators KW - Gas production modulation KW - Anaerobic digestion Y1 - 2018 UR - https://doi.org/10.1016/j.renene.2018.10.021 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9538 SN - 1879-0682 SN - 0960-1481 VL - 2019 IS - 134 SP - 135 EP - 146 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Anderl-Straub, Sarah A1 - Lausser, Ludwig A1 - Lombardi, Jolina A1 - Uttner, Ingo A1 - Fassbender, Klaus A1 - Fliessbach, Klaus A1 - Huppertz, Hans-Jürgen A1 - Jahn, Holger A1 - Kornhuber, Johannes A1 - Obrig, Hellmuth A1 - Schneider, Anja A1 - Semler, Elisa A1 - Synofzik, Matthis A1 - Danek, Adrian A1 - Prudlo, Johannes A1 - Kassubek, Jan A1 - Landwehrmeyer, Bernhard A1 - Lauer, Martin A1 - Volk, Alexander E. A1 - Wiltfang, Jens A1 - Diehl-Schmid, Janine A1 - Ludolph, Albert C. A1 - Schroeter, Matthias A1 - Kestler, Hans A. A1 - Otto, Markus T1 - Predicting disease progression in behavioral variant frontotemporal dementia JF - Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring N2 - Introduction The behavioral variant of frontotemporal dementia (bvFTD) is a rare neurodegenerative disease. Reliable predictors of disease progression have not been sufficiently identified. We investigated multivariate magnetic resonance imaging (MRI) biomarker profiles for their predictive value of individual decline. Methods One hundred five bvFTD patients were recruited from the German frontotemporal lobar degeneration (FTLD) consortium study. After defining two groups (“fast progressors” vs. “slow progressors”), we investigated the predictive value of MR brain volumes for disease progression rates performing exhaustive screenings with multivariate classification models. Results We identified areas that predict disease progression rate within 1 year. Prediction measures revealed an overall accuracy of 80% across our 50 top classification models. Especially the pallidum, middle temporal gyrus, inferior frontal gyrus, cingulate gyrus, middle orbitofrontal gyrus, and insula occurred in these models. Discussion Based on the revealed marker combinations an individual prognosis seems to be feasible. This might be used in clinical studies on an individualized progression model. UR - https://doi.org/10.1002/dad2.12262 KW - behavioral variant frontotemporal dementia KW - brain volume KW - classification models KW - disease progression KW - frontotemporal dementia KW - prognosis Y1 - 2021 UR - https://doi.org/10.1002/dad2.12262 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-27212 SN - 2352-8729 N1 - Collaborators FTLD consortium: Christine v. Arnim, Petra Steinacker, Georg Grön, Manuel Maler, Maryna Polyakova, Christopher Weise, Lea Hüper, Daniele Pino, Annerose Engel, Johannes Levin, Catharina Prix, Elisabeth Wlasich, Lina Riedl, Felix Müller-Sarnowski, Carola Roßmeier, Felix Oberhauser, Kai Schumacher, Jan Lehmbeck, Thomas Duning, Andreas Johnen. VL - 13 IS - 1 PB - Alzheimer’s Association CY - Chicago ER -