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 - GEN A1 - Dahash, Abdulrahman A1 - Mieck, Sebastian A1 - Ochs, Fabian A1 - Krautz, Hans Joachim T1 - A comparative study of two simulation tools for the technical feasibility in terms of modeling district heating systems: An optimization case study T2 - Simulation Modelling Practice and Theory N2 - District heating dynamic models arise as an alternative approach to in-situ experimental investigations. The main advantage of dynamic modeling and simulation is the possibility to avoid technical and operational risks that might occur during in-situ experimental investigations (e.g. heat demand is not met, damages in the energy systems etc.). Within this study, the authors present two models for an existing district heating system in Cottbus, Germany. One model is developed using the tool EBSILON Professional, while the other one is developed using the Simscape toolbox for physical modeling in Matlab/Simulink. The models were experimentally validated against measured data from the considered district heating system. The results show that the Simscape model has a better fit and better response than the EBSILON model. Yet, some discrepancies were found between the measured and the simulated data and, therefore, the uncertainties of the models were addressed. A comparative study between both tools is presented. The EBSILON models permit only unidirectional flow, whereas the Simscape toolbox permits reverse flow. Nevertheless, the EBSILON model outperforms the Simscape model in computation time. In addition, this study presents an approach for dynamic thermo-hydraulic modeling of district heating networks. This approach is utilized to examine the role of district heating networks as heat storage as an optimization configuration. The numerical results show less start-ups for additional heat sources. Yet, higher heat losses from the network are observed due to the installation of unburied pipelines. KW - Dynamic thermo-hydraulic modeling and simulation KW - Simscape KW - EBSILON Professional KW - District heating systems KW - Heating network as heat storage Y1 - 2019 U6 - https://doi.org/10.1016/j.simpat.2018.11.008 SN - 1569-190X VL - 91 SP - 48 EP - 68 ER -