TY - THES A1 - Abang, Roger Atini T1 - Thermodynamic modeling and experimental investigations of high temperature corrosion and oxidation due to increased power plant cycling KW - Cycling KW - Flexible generation KW - High temperature corrosion; Oxidation KW - Oxidation KW - Thermo-chemical modeling Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:co1-opus4-40032 ER - TY - GEN A1 - Sakkas, Nikolaos Panagiotis A1 - Roger, Abang T1 - Thermal load prediction of communal district heating systems by applying data-driven machine learning methods T2 - Energy Reports N2 - Load forecasting is an essential part of the operational management of combined heat and electrical power units, since a reliable hour- and day-ahead estimation of their thermal and electrical load can significantly improve their technical and economic performance, as well as their reliability. Among different types of prediction techniques, data-driven machine learning methods appear to be more suitable for load estimation in operational systems, compared to the classical forward approach. Research so far has been concentrated mainly on the magnitude of buildings with single load types. It has only been extended to a limited degree on the level of a district heating network where several end users with different characteristics merge into one bigger scale heat consumer (city or group of communities). In this study, artificial neural networks are utilized, to develop a load prediction model for district heating networks. A segmented analytical multi-phase approach is employed, to gradually optimize the predictor by varying the characteristics of the input variables and the structure of the neural network. The comparison against the load prediction time series generated by a local communal energy supplier using a commercial software reveals that, although the latter is enhanced by manual human corrections, the optimized fully automatic predictors developed in the present study generate a more reliable load forecast. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/pii/S2352484721015213 U6 - https://doi.org/10.1016/j.egyr.2021.12.082 SN - 2352-4847 VL - 8 SP - 1883 EP - 1895 ER - TY - CHAP A1 - Correa da Silva, Rodrigo A1 - Krautz, Hans Joachim T1 - Theoretical investigation of pulverized coal combustion in air and in O2/CO2 atmospheres Y1 - 2009 ER - TY - CHAP A1 - Correa da Silva, Rodrigo A1 - Krautz, Hans Joachim T1 - Theoretical analysis of heat transfer in a pulverized coal combustion chamber under O2/CO2 atmosphere Y1 - 2009 ER - TY - CHAP A1 - Kaß, Helge A1 - Tappe, Stephanie A1 - Krautz, Hans Joachim T1 - The combustion of dry lignite under Oxyfuel process conditions in a 0.5 MWth test plant Y1 - 2008 ER - TY - GEN A1 - Mieck, Sebastian A1 - Krautz, Hans Joachim T1 - Systematic analysis and preparation of high resolution in-situ measurements for the estimation of PV module parameters T1 - Systematische Analyse und Aufbereitung von hoch-aufgelösten in-situ Messdaten für die Identifikation von Photovoltaik Modulparametern T2 - VGB PowerTech N2 - In the last two decades, a rapid expansion of photovoltaic (PV) power plants of different sizes has taken place. Along with this, the interest from science and industry is growing, exploring the strengths and weaknesses of this technology as well as further developing the efficiency in its production and operation. For planning and operating of PV power plants, valid energy yield forecasts are desirable. These forecasts are also important to draw conclusions for the monitoring of future PV technologies. The analysis, evaluation and processing of meteorological and technical measurement datasets play an essential role. In this article, high-resolution measurement data sets of a mobile, autarkic test system are analyzed firstly. The measured data are checked for plausibility and validity with the corresponding methods. After this observations and phenomena with meteorological cause are described. In a second step, a practicable procedure for the preparation of the measurement data is presented, in order to make it suitable for further calculations, e.g. identification of photovoltaic module parameters for energy yield calculations. The focus is particularly on the flexibility, adaptability and code performance of the processing procedure. Results, evaluations and outlooks on the methods used, measurement data and selected software packages are made. N2 - In den letzten zwei Dekaden ist ein rascher Zubau von Photovoltaik(PV)-Kraftwerken verschiedener Leistungsgrößen zu konstatieren. Damit einhergehend wächst das Interesse aus Wissenschaft und Wirtschaft, Stärken und Schwächen der Technologie zu ergründen sowie die Effizienz in Herstellung und Betrieb weiter zu entwickeln. Für Planung und Betrieb von PV-Kraftwerken sind z.B. valide Ertragsprognosen anzustreben, aber auch Rückschlüsse aus dem Monitoring für zukünftige PV-Technologien zu ziehen. Die Analyse, Auswertung und Verarbeitung von meteorologischen und technischen Messdatensätzen spielt dabei eine wesentliche Rolle. Im diesem Artikel werden zeitlich hoch aufgelöste Messdatensätze eines mobilen, autarken Testsystems in einem ersten Schritt analysiert. Dabei werden die Messdaten auf Plausibilität und Validität mit entsprechenden Methoden überprüft, spezielle Beobachtungen und Phänomene mit meteorologischer Ursache beschrieben. In einem zweiten Schritt wird eine praktikable Vorgehensweise für die Aufbereitung der Messdaten vorgestellt, um diese für weiterführende Berechnungen, z.B. Identifikation von Photovoltaik Modulparametern für Ertragsberechnungen, verfügbar zu machen. Im Vordergrund stehen insbesondere die Flexibilität, Adaptierbarkeit sowie Codeperformanz der Aufbereitungsprozedur. Es werden Ergebnisse, Einschätzungen und Ausblicke zu den verwendeten Methoden, Messdaten, sowie gewählter Software Pakete vorgenommen. KW - Photovoltaic KW - Data preparation Y1 - 2018 SN - 1435-3199 VL - 98 IS - 8 SP - 75 EP - 81 ER - TY - CHAP A1 - Rombrecht, Hans-Bernd A1 - Krautz, Hans Joachim T1 - Results and operation experiences of the lignite fired laboratory-scale plant with pressurized circulating fluidized bed combustion of the 2nd generation (PFBC) Y1 - 2005 ER - TY - CHAP A1 - Ristau, Herbert A1 - Mroz, Marcin A1 - Krautz, Hans Joachim T1 - Research and Development of Progressive Power Plant Techniques at the Brandenburg University of Technology Cottbus Y1 - 2000 ER - TY - CHAP A1 - Fischer, Ulrich A1 - Tannert, Daniel A1 - Voigt, Andre A1 - Ziems, Christian A1 - Krautz, Hans Joachim A1 - Barz, Mirko A1 - Dinkler, Konstantin T1 - Renewable Energy Storage by Hydrogen Production from Water Electrolysis T2 - Technical and Economic Aspects of Renewable Energies - Know-How Transfer as Development Opportunity for Southern Europe Y1 - 2016 SN - 978-3-86387-721-7 SP - 118 EP - 126 PB - Mensch und Buch CY - Berlin ER - TY - GEN A1 - Katzer, Christian A1 - Babul, Konrad A1 - Klatt, Matthias A1 - Krautz, Hans Joachim T1 - Quantitative und qualitative relationship between swirl burner operating conditions and pulverized coal flame length T2 - Fuel Processing Technology KW - Flame length KW - Flame stability KW - Swirl burner KW - Pulverized coal KW - Image processing Y1 - 2017 U6 - https://doi.org/10.1016/j.fuproc.2016.10.013 SN - 0378-3820 VL - 156 SP - 138 EP - 155 ER -