TY - JOUR A1 - Voigt, Sascha A1 - Sträubig, Felix A1 - Palis, Stephan A1 - Kwade, A. A1 - Knaust, Christian T1 - CFD-analysis of Sensible Enthalpy Rise Approach to determine the heat release rate of electric-vehicle-scale lithium-ion batteries N2 - This paper analyses the suitability of the Sensible Enthalpy Rise Approach for measuring the heat release rate of electric-vehicle-scale lithium-ion batteries. An apparatus is designed that meets the conditions of an electric-vehicle-scale lithium-ion battery fire by using cement board as wall material. Modifications of the Sensible Enthalpy Rise Methodology are presented due to the high emissivity and inhomogeneous temperature distribution of the apparatus wall material: a power 4 approach for the heat flow from the walls to the ambient air and an alternative determination methodology for the wall temperature. A one factor at a time parameter study is performed with Computational Fluid Dynamics simulations, investigating a new calibration method based on a fit approach compared to common methods, the wall temperature determination, the approach for the ambient heat flow, the calibration power and the volume flow at the outlet. The simulations show, that suitable estimations of the heat release rate are obtained by using the modifications for wall temperature determination and the power 4 approach for the ambient heat flow. The three calibration methods provide suitable constants, if the calibration power in the same order of magnitude as the mean of the heat release rate profile of the test object. KW - Lithium-ion batteries KW - Heat Release Rate KW - Calorimetry KW - Sensible Enthalpy Rise Approach KW - Computational Fluid Dynamics PY - 2020 DO - https://doi.org/10.1016/j.firesaf.2020.102989 VL - 114 SP - 1 EP - 14 PB - Elsevier Ltd. AN - OPUS4-50964 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Voigt, Sascha A1 - Sträubig, Felix A1 - Palis, Stephan A1 - Kwade, A. A1 - Knaust, Christian T1 - Experimental comparison of Oxygen Consumption Calorimetry and Sensible Enthalpy Rise Approach for determining the heat release rate of large-scale lithium-ion battery fires N2 - From a fire safety point of view, the burning behavior of lithium-ion batteries is of high interest. The heat release rate (HRR) is the most important fire parameter to analyze the fire hazards of burning objects, so that an accurate determination of it is crucial. In this paper, two different measurement techniques, the Oxygen Consumption Calorimetry (OCC) and the Sensible Enthalpy Rise Approach (SERA) are simultaneously performed in the same calorimeter to measure the HRR of two different types of lithium-ion batteries. HRR values as well as total energies determined by SERA are higher than measured with OCC: The total energy released is about 10–12 times (SERA) and 6–9.5 times (OCC) the electrical stored energy for both battery types, whereas the timescales of the release differ strongly between the types, resulting in maximum HRRs of 3.4 MW (SERA) and 1.5 MW (OCC) for one module of type A and 0.8 MW (SERA) and 0.6 (OCC) of type B respectively. Furthermore, a sensitive dependency of the HRR measurement with SERA on the position of the wall temperature measurement is observed. KW - Fire tests KW - Lithium-ion-batteries KW - Heat release rate KW - Calorimetry KW - Sensible enthalpy rise approach KW - Oxygen consumption calorimetry PY - 2021 DO - https://doi.org/10.1016/j.firesaf.2021.103447 SN - 0379-7112 IS - 126 PB - Elsevier Ltd. AN - OPUS4-53441 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Voigt, Sascha A1 - Sträubig, Felix A1 - Kwade, A. A1 - Zehfuß, J. A1 - Knaust, Christian T1 - An empirical model for lithium-ion battery fires for CFD applications N2 - Lithium-ion batteries are a key technology to achieve the goals of limiting climate change due to the important role as traction technology for Electric Vehicles and in stationary energy storage systems. Over(dis) charge, mechanical damage due to accidents or thermal abuse such as fires can initiate an accelerated self-heating process of the batteries, called thermal runaway. A thermal runaway can propagate from cell to cell within a larger assembly of cells such as modules or battery packs and can cause rapid heat and toxic gas emissions. The resulting battery fire can spread to adjacent facilities, e.g. other cars in underground car parks or to a whole building in case of a large stationary energy storage. For proof of fire protection requirements or to design suitable fire protection systems, Computational Fluid Dynamic (CFD) simulations are getting more and more important. The aim of CFD fire simulations is to predict the global hazards of a fire to its surroundings, that is mainly characterized by the release of heat and smoke and its spread in the fire environment. There are many numerical investigations of lithium-ion batteries in the literature. One class of models is used to simulate the charge and discharge process of lithium-ion batteries and to predict the temperature or voltage evolution inside the battery. On the other hand, there are models describing batteries under abuse conditions to predict the consequences of a thermal runaway event to the local environment, like the temperatures inside a battery or at the battery surface. Henriksen et al. use a generic battery gas mixture to simulate an explosion of vented gases from a Lithium Iron Phosphate battery and compare experimental results for the explosion pressure and the position of the flame front to the outcomes of a simulation with Xifoam. Larsson et al. used a combination of CFD simulations with FDS and thermal model with COMSOL to predict the temperature development of neighboring cells in a thermal runaway propagation. Truchot et al. use a design Heat Release Rate (HRR) curve for a battery based on experimental measurements to build up an overall HRR curve for a truck loaded with 100 lithium-ion batteries. This summed up HRR and corresponding smoke production curve is then used as an input for a simulation of a truck fire in a tunnel with Fire Dynamics Simulator (FDS). The pre-definition of the HRR curve is a frequently used method in fire engineering. It has the disadvantage, that the heat release cannot be influenced by physical processes, such as changed ventilation conditions or extinguishing measures. In this paper, a model is presented that determines the release of heat and gases based on the thermal runaway mechanisms of the battery, which can be used in CFD fire simulations with focus on prediction of fire hazards to nearby environment. KW - Lithium-ion battery KW - Battery fires KW - Computational Fluid Dynamic (CFD) KW - Empirical model PY - 2023 DO - https://doi.org/10.1016/j.firesaf.2022.103725 SN - 0379-7112 VL - 135 IS - 135 SP - 1 EP - 12 PB - Elsevier Ltd. AN - OPUS4-57347 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Denkler, Tilman T1 - OITB Quality Assurance concept and minimum requirements for testing services offered on the Metabuilding platform N2 - A brief description of the Quality Assurance concept of the Metabuilding Labs Open Ivvovation Test Bed (OITB) and presentation of the minimum requirements for testing services offered on the Metabuilding platform, wehich were elaborated in 2 workshops in summer 2023. T2 - 4th General Meeting of the Metabuilding Labs project (Horizon 2020) CY - Valladolid, Spain DA - 10.10.2023 KW - Open Innovation Test Bed KW - Metabuilding Labs PY - 2023 AN - OPUS4-58566 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Denkler, Tilman T1 - O3BET Quality Protocols N2 - Presentation of the process-oriented approach for the development of the quality protocolls (standard operation procedures and work instructions) for the O3BETs. O3BETs are innovative testing facilities for building envelopes which are developed in the course of the Metabuilding Labs EU Horizon 2020 project. T2 - 4th General Meeting of the Metabuilding Labs project (Horizon 2020) CY - Valladolid, Spain DA - 10.10.2023 KW - Open Innovation Test Bed KW - Metabuilding Labs KW - O3BET PY - 2023 AN - OPUS4-58567 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schneider, Ronald T1 - Impulsvortrag: Ermüdungslebensdauerbewertung mittels Informationen aus Monitoring und Inspektionen N2 - Kontext: Ermüdungsbeanspruchte Tragstrukturen von Windenergieanlagen, Bestimmung der Ermüdungsbeanspruchungen und -zuverlässigkeit auf der Grundlage von Simulationen aus dem Design unter Berücksichtigung von Modellunsicherheiten, Aktualisierung der Ermüdungsbeanspruchungen und -zuverlässigkeit auf der Grundlage von globalen Monitoring- und lokalen Inspektionsinformationen aus dem Betrieb unter Berücksichtigung von Modell- und Messunsicherheiten T2 - 3. Verbundtreffen ReNEW CY - Berlin, Germany DA - 05.09.2024 KW - Modellunsicherheiten KW - Windenergie KW - Ermüdungslebensdauer KW - Tragstrukturen KW - Monitoring KW - Inspektionen PY - 2024 AN - OPUS4-61427 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Denkler, Tilman T1 - The Metabuilding Labs approach to Quality Assurance – Standard Operating Procedures and Work Instructions for the O3BETs N2 - The development of the Standard Operating Procedures and Work Instructions for the O3BETs by setting up 3 working roups during Summer 2024 aredescribed. Major achievements are shown and future work is outlined. T2 - 6th General Meeting Metabuilding Labs CY - Szentender, Hungary DA - 26.11.2024 KW - Open innovation test bed KW - Metabuilding Labs KW - Quality management PY - 2024 AN - OPUS4-61866 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Denkler, Tilman T1 - WP8 - METABUILDING LABS OITB catalogue of testing infrastructures and services, its structuring and exploitation, training and quality management N2 - Developments of Workpackage 8 in the last year are presented. Focuss on the development of quality assurance procedures for the O3BETs. Upcoming activites for the tasks 8.2, 8.3, 8.4, 8.5 and 8.6 are described. T2 - 5th General Meeting Metabuilding Labs Project CY - Online meeting DA - 06.06.2024 KW - Open Innovation Test Bed KW - Quality assurance KW - Quality management PY - 2024 AN - OPUS4-60208 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Nandish, Ranjith A1 - Knaust, Christian A1 - Zehfuß, J. T1 - Numerical investigations of a large fire exposure crib test - presenting different pyrolysis modelling methodologies and numerical results N2 - The need for numerical-based approaches to investigate the fire behaviour in buildings with combustible components is growing due to the increasing use of timber by the construction industry in order to meet the "Climate Action Plan 2050". This requires consideration of the complex kinetic processes that take place during the burning of the wood in the numerical models. This is accomplished by using computational fluid dynamics (CFD) to numerically model the material pyrolysis and combustion processes. This paper presents three different approaches for simulating the behaviour of a wood crib fire using the Fire Dynamics Simulator (FDS). These approaches are based on either prescribing the burning rate of the wood directly from the physical experiments or using the kinetic parameters to govern the underlying processes, such as pyrolysis. Wooden crib fire experiments carried out by the RISE research institute in Sweden inside the combustion chamber were used to validate all the methods. The numerical results from the method, which utilized the experimentally determined burning rate, were in good agreement with the experimental results, with a maximum deviation of 6% in the case of HRR. On the other hand, the model that needs kinetic parameters as its input has shown maximum discrepancies of 12% and 33% compared to experimental results. These methods are sensitive to the input parameters and the extent of dependency needs to be investigated. KW - Wooden buildings KW - Ppyrolysis KW - Wood combustion KW - Wood fire loads PY - 2024 SN - 1099-1018 SP - 1 EP - 25 PB - John Wiley & Sons Ltd. AN - OPUS4-62253 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - THES A1 - Chaves Spoglianti de Souza, Roberto T1 - Sensitivity Analyses of Probabilistic Thermo-Mechanical Fire Safety Assessment of Tunnel Linings N2 - Fire safety structural analyses contain uncertainties related to the mechanical aspects, such as compressive strength and tensile strength, and the thermal aspects, such as conductivity, specific heat and fire loads. The uncertainties related to the mechanical aspects are explicitly considered by the applicable standards. However, the uncertainties related to the conductivity and specific heat are implicitly considered by the standards, while the uncertainties related to the fire loads are only considered in the German National Annex of the Eurocode 1991-1-2. Nevertheless, considering the severe nature of tunnel fires, these uncertainties must be incorporated into the design. The complexity of the stresses in a tunnel lining in fire can be determined by a probabilistic thermo-mechanical analysis as proposed in the methodology presented in this work. The methodology presented here to investigate the influence of thermal parameters on the fire safety of concrete structures in tunnels is based on the thermo-mechanical finite element analysis. The methodology includes the design of experiments executed by a Correlation Latin Hypercube Sampling. This work includes three case studies to illustrate the use of the proposed methodology. The second and the third studies contain reliability analyses to evaluate the probabilities of failure. The first case study uses an analytical thermo-mechanical analysis based on the 500 °C isotherm method. It considers the uncertainties related to the thermal and mechanical properties of the concrete, the soil load, and the temperatures described by the standard temperature-time curve. The results demonstrate the importance of incorporating the characteristic values of conductivity and specific heat in the semi-probabilistic structural fire design. The probability of failure is Pf = 3.1 × 10−3. The second case study is a probabilistic thermo-mechanical analysis of tunnels using the standard temperature-time curve. It considers the uncertainties related to the thermal and mechanical properties of the concrete, the soil load, and temperature. The probability of failure is Pf = 0.06. The third case study is a probabilistic thermo-mechanical analysis of the tunnel using natural fire calculated with CFast. It considers the uncertainties related to the thermal and mechanical properties of the concrete, the soil load, and the fire load. The probability of failure is Pf = 0.08. Although the natural fire in the third study results in higher temperatures than the standard fire in the second study, the difference between the failure probabilities of both case studies is smaller than expected. The reason for the small difference is probably that the effects due to the higher temperatures are compensated by the decay phase of the natural fire. The reliability assessments of both the second and the third case study show that the investigated structures do not meet the reliability requirements derived from the EN 1990 standard. Therefore, the structures would either need to be redesigned or more protective methods would need to be provided, such as the thermal boards or sprinklers. The conductivity, specific heat, and fire load are the parameters that correlate to the results the most. For the tunnel structural fire design, the following safety factors are recommended based on this work: γfi = 1.76 for the conductivity, γfi = 0.31 for the specific heat, and γfi = 1.8 for the fire load. Given the range of results of the fire safety analyses, the inclusion of the uncertainties is demonstrated to be necessary. The choice of failure criterion has a significant influence on the probability of failure and is, therefore, a critical step in the safety analysis. For the tunnel fire, the model must be improved to accurately account for the fast heating rate and the cooling phase of tunnel fires. KW - Tunnel Fires KW - Uncertainties of Structural Fire Safety KW - Tunnel Linings KW - Fire Safety Assessment PY - 2021 SP - 1 EP - 186 PB - Fakultät Architektur, Bauingenieurwesen und Umweltwissenschaften der Technischen Universität Carolo-Wilhelmina zu Braunschweig CY - Braunschweig AN - OPUS4-62967 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -