TY - CONF A1 - Tiebe, Carlo T1 - Error Prevention, Damage Prevention, and Safety Management in Hydrogen Technologies N2 - In order to integrate the error prevention and damage prevention strategy into hydrogen technologies, it is important to proactively look out for potential weaknesses in the systems and processes. This includes the implementation of preventive measures as elements of safety management in order to identify and eliminate potential sources of error. In addition, training should be specifically focussed on avoiding errors and the safe use of hydrogen technologies. The principial approach of a gas sensor testing laboratory shows how to ensure reliable results, it is advisable to conduct sensor testing under controlled conditions, focusing on identifying specific properties and quantifying performance criteria. A well thought-out strategy for error prevention makes a significant contribution to preventing accidents and increasing overall safety when using hydrogen. T2 - 5th Germany-Korea Hydrogen Conference CY - Halle (Saale), Germany DA - 22.10.2024 KW - Hydrogen KW - Safety KW - Safety Management KW - Error Prevention KW - Reference Procedure PY - 2024 AN - OPUS4-62563 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tiebe, Carlo A1 - Maiwald, Michael A1 - Schukar, Marcus T1 - Beiträge der Prozessanalytik und Sensorik zur Sicherheit in Wasserstofftechnologien N2 - Intelligent sensor systems, certified reference materials and instrumental analytical-chemical methods contribute to safety and functionality in hydrogen technologies. This article gives a brief overview of SensRef activities in the Competence Centre H2Safety@BAM on the issues: Analytical methods for the determination of hydrogen purity, certified reference materials as measurement standards with regard to gas quality (primary calibrators) of BAM, test methods for gas sensor systems to detect hydrogen in air as well as the application of fibre-optic sensor systems to monitor the expansion and ageing behaviour of composite containers in hydrogen technologies. T2 - Berlin Brandenburger Optik-Tag "Einsatz von Sensorik und Mikroelektronik in der Wasserstoffwirtschaft" CY - Online meeting DA - 29.11.2021 KW - H2Safety@BAM KW - SensRef KW - Gas analysis KW - Gas purity KW - Fibre-optic sensors KW - Sensor response KW - Certified reference materials PY - 2021 AN - OPUS4-54138 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tiebe, Carlo T1 - Introduction of H2Safety@BAM N2 - This contribution for the Open Forum of the 8th HSN Symposium introduces the SensRef activities of the Competence Centre H2Safety@BAM. T2 - 8. HSN-Symposium - HybridSensorNet e. V. CY - Online meeting DA - 11.11.2021 KW - H2Safety@BAM KW - SensRef KW - Hydrogen PY - 2021 AN - OPUS4-54137 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tiebe, Carlo T1 - Hydrogen Sensing - Sensors for Safety and Process Control in Hydrogen Technologies N2 - The success of this energy transition and the efficient utilization of green hydrogen as a pristine energy carrier hinge upon the cultivation of hydrogen readiness, swift market expansion, and the establishment of crucial value chains within national and European contexts. Paramount to these objectives are reliable quality and safety standards, essential for ensuring supply safety, environmental compatibility, and instilling confidence in these technologies. In the realm of safety management systems, gas sensors emerge as vital components for detecting hydrogen. This presentation delves into the imperative role of hydrogen systems, emphasizing their capability to monitor and control operations, issue warnings, signal hazardous conditions, and sound alarms. It explores the intricate landscape of functional safety considerations and addresses the challenges associated with measurement uncertainty in sensor testing. A diverse array of sensors catering to hydrogen, pressure, temperature, and flow are available, each contributing significantly to the safety and efficiency of hydrogen technologies. Applications are envisaged to adhere meticulously to quality infrastructural regulations, codes, and standards, ensuring seamless integration and operation within the broader hydrogen ecosystem. This discussion underscores the ubiquitous presence of sensor systems across various fields within hydrogen technologies, illustrating their multifaceted contributions to safety, reliability, and overall success in realizing the transformative potential of green hydrogen. T2 - Joint European Summer School JESS 2024 CY - Vravrona, Greece DA - 16.09.2024 KW - H2Safety@BAM KW - Hydrogen KW - Sensor KW - Sensor technology KW - Safety KW - Process control PY - 2024 AN - OPUS4-61677 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tiebe, Carlo A1 - Melzer, Michael T1 - Sensors for safety and process control in hydrogen technologies - Part II - Seminar about the expression of uncertainty in measurement N2 - The determination of the measurement uncertainty of quantitative and qualitative results is an important quality management tool, for example to describe measuring equipment, procedures, measurement results and the quality of products. The lecture presents the process description for the determination of the measurement uncertainty according to GUM, the determination of uncertainties in qualitative measurement results and the application of the measurement uncertainty for conformity assessment. T2 - Joint European Summer School 2021 on Fuel Cell, Electrolyser, and Battery Technologies CY - Online meeting DA - 12.09.2021 KW - Quality management tool KW - Measurement uncertainty KW - Quantiative results KW - Qualitative results KW - Conformity assessment PY - 2021 AN - OPUS4-54132 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tiebe, Carlo T1 - Sensors for safety and process control in hydrogen technologies N2 - Sensor systems are widely used in hydrogen technologies. The lecture presents requirements and properties of sensor systems and shows application examples of these technologies for safety and process control for hydrogen technologies. The focus is on gas sensors as well as sensors for pressure, temperature and gas flow. These systems are applied, among other things, for monitoring and control of operating conditions, indication of hazardous conditions and triggering of alarms. T2 - Joint European Summer School 2021 on Fuel Cell, Electrolyser, and Battery Technologies CY - Online meeting DA - 12.09.2021 KW - Sensor KW - Safety KW - Process control KW - Hydrogen technologies PY - 2021 AN - OPUS4-54131 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tiebe, Carlo T1 - Fehlervermeidung, Schadenverhütung und Sicherheitsmanagement in der Wasserstofftechnologie N2 - Um den Aspekt der Strategie zur Fehlervermeidung und Schadenprävention in Wasserstofftechnologien zu integrieren, ist es entscheidend, proaktiv auf potenzielle Schwachstellen in den Systemen und Prozessen zu achten. Dies beinhaltet die Implementierung von präventiven Maßnahmen als Elemente des Sicherheitsmanagements, um mögliche Fehlerquellen zu identifizieren und zu eliminieren. Darüber hinaus sollten Schulungen gezielt auf die Vermeidung von Fehlern und die sichere Anwendung von Wasserstofftechnologien ausgerichtet sein. Eine durchdachte Strategie zur Fehlervermeidung trägt wesentlich dazu bei, Unfälle zu verhindern und die Gesamtsicherheit bei der Nutzung von Wasserstoff zu erhöhen. T2 - Forum Schadenverhütung am 12.10.2023 der Arbeitsgemeinschaft Berlin Brandenburg (AGS) in Kooperation mit der AGBB Berlin e.V CY - Berlin, Germany DA - 12.10.2023 KW - H2Safety@BAM KW - Gassensorik KW - Wasserstoff KW - Fehlervermeidung KW - Schadenverhütung KW - Sicherheitsmanagement PY - 2023 AN - OPUS4-59226 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Lay, Vera T1 - Multi-sensor conception for safe sealing structures in underground repositories N2 - The project "SealWasteSafe" of the Bundesanstalt für Materialforschung und -prüfung (Berlin) deals with sealing structures applied for underground disposal of nuclear waste from two perspectives: material improvement for application in sealing constructions and feasibility study regarding multi-sensor approaches to ensure quality assurance and long-term monitoring. One specimen of 150 l made of alkali-activated material, which was found innovative and suitable for sealing constructions based on preliminary laboratory studies, and another one made of conventional salt concrete, are manufactured with an integrated multi-sensory setup for quality assurance and long-term-monitoring. The specimens were left in their cast form and additionally thermally insulated to simulate the situation in the repository. The multi-sensory concept comprises RFID technology embedded in the specimens suppling material temperature and moisture measurements, integrated distributed fibre optic sensing allowing strain measurement and acoustic emission testing for monitoring crack formation. Overall, the suitability and the functionality of the sensors embedded into and attached to strongly alkaline (pH > 13 for the AAM) and salt corrosive (NaCl) environment was proven for the first 672 h. First RFID measurement succeeded after 626 h for the alkali-activated material and after 192 h for the conventional salt concrete. Strain measurement based on fibre optic sensing turned out the alkali-activated material (> 1 mm/m) undergoing approximately twice the compression strain as the salt concrete (< 0.5 mm/m). In contrast, the acoustic emission first and single hits representing crack formation in numbers, was found for alkali-activated material half of that detected at the salt concrete. T2 - SMIRT 26 CY - Berlin, Germany DA - 10.07.2022 KW - SealWasteSafe KW - Monitoring KW - Acoustic emission KW - Fibre optic sensing KW - RFID technology KW - Alkali-activated material PY - 2022 AN - OPUS4-55372 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - de Oliveira Guilherme Buzanich, Ana A1 - Radtke, Martin A1 - Yusenko, Kirill A1 - Stawski, Tomasz A1 - Kulow, Anicó A1 - Cakir, Cafer Tufan A1 - Röder, Bettina A1 - Naese, Christoph A1 - Britzke, Ralf A1 - Sintschuk, Michael A1 - Emmerling, Franziska T1 - BAMline - A real-life sample materials research beamline N2 - With increasing demand and environmental concerns, researchers are exploring new materials that can perform as well or better than traditional materials while reducing environmental impact. The BAMline, a real-life sample materials research beamline, provides unique insights into materials’ electronic and chemical structure at different time and length scales. The beamline specializes in x-ray absorption spectroscopy, x-ray fluorescence spectroscopy, and tomography experiments. This enables real-time optimization of material properties and performance for various applications, such as energy transfer, energy storage, catalysis, and corrosion resistance. This paper gives an overview of the analytical methods and sample environments of the BAMline, which cover non-destructive testing experiments in materials science, chemistry, biology, medicine, and cultural heritage. We also present our own synthesis methods, processes, and equipment developed specifically for the BAMline, and we give examples of synthesized materials and their potential applications. Finally, this article discusses the future perspectives of the BAMline and its potential for further advances in sustainable materials research. KW - Extended X-ray absorption fine structure KW - Energy storage KW - Environmental impacts KW - Nondestructive testing techniques KW - X-ray fluorescence spectroscopy KW - Corrosion KW - Near edge X-ray absorption fine structure spectroscopy KW - X-ray absorption spectroscopy PY - 2023 DO - https://doi.org/10.1063/5.0157194 VL - 158 IS - 24 SP - 1 EP - 22 PB - AIP Publishing AN - OPUS4-57824 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Chaudhuri, Somsubhro A1 - Krankenhagen, Rainer A1 - Lapšanská, Ivana A1 - Stamm, Michael T1 - Modeling Temperature Responses of a Wind Turbine Blade Section Under Climate Chamber Conditions – Part 1: Challenges for FEM Simulations N2 - The rapid expansion of wind energy infrastructure over the past 20–30 years has led up to a situation where advanced non‐destructive testing (NDT) technologies are the need‐of‐the‐hour, not only for new wind turbine blades (WTBs) that are being installed, but also for older infrastructure which is reaching their designed lifetime. NDT technologies that improve both the quality as well as reduce the time required for the inspection are sought after, and one such example is passive infrared thermography (IRT). For passive IRT to provide significant information/insight into the integrity of the WTB, there needs to exist certain thermal contrast to both visualize and distinguish between features in WTB. These features could be surface features, subsurface structure or defects. The temperature variations due to air temperature fluctuations and the sun assist (passively) to obtain the necessary thermal contrast. To better understand the thermal response of composite structures such as WTBs, a validation study was conducted using a WTB section subjected to controlled temperature transients within a climate chamber, without external irradiation. Infrared measurements were recorded using a thermographic camera, and the same specimen was modeled using finite element methods (FEM) in COMSOL Multiphysics. While a direct validation of the simulation is limited due to transient and unmeasured variables in the experimental data, qualitative comparison provides valuable insight into the applicability of FEM for predicting thermal behavior in passive IRT scenarios. This article represents the first part of a two‐part study, focusing on the FEM modeling approach and associated challenges. The second part will address the experimental investigation in more detail, with an emphasis on thermal contrast behavior under varied transient conditions. KW - Finite element modeling KW - Non- destructive testing KW - Passive infrared thermography KW - Thermal contrast KW - Wind turbine blades PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-655330 DO - https://doi.org/10.1002/we.70102 SN - 1095-4244 VL - 29 IS - 3 SP - 1 EP - 14 PB - Wiley AN - OPUS4-65533 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Averin, Anton A1 - Hirsch, Philipp Daniel A1 - Lecompagnon, Julien T1 - Thermographic Reference Dataset: Defect Detection in Nuclear Waste Barrel Cutouts Using Long Pulse Thermography N2 - We introduce a thermographic dataset for subsurface defect detection in radioactive waste storage drums, comprising thermal sequences from 7 barrel specimens with artificially manufactured internal defects. The dataset was acquired using cost-effective halogen-lamp excitation (2kW per lamp) as an alternative to laser-based systems, with dual-camera thermal imaging (CMOS and bolometric) to enable performance comparison across imaging modalities. The specimens include both new and aged barrel types with controlled defects — FBHs, lines, crosses, triangles, and rectangles — simulating internal corrosion at varying scales (4mm to 60mm). Three heating regimes (both lamps, left only, right only) were systematically applied across multiple measurement regions per sample, yielding normalized thermal sequences. To lower the barrier for machine learning practitioners without thermography expertise, the dataset provides pre-computed features derived from principal component analysis, pulse phase thermography, and independent component analysis extracted using experimentally optimized time windows. Ground-truth binary masks mapping defect locations are included to enable supervised learning. This resource is designed to support the development and benchmarking of automated defect detection algorithms for non-destructive testing of curved, thin-walled metallic structures under realistic surface conditions (paint inhomogeneity, dirt, geometric artifacts), while validating low-cost thermographic inspection alternatives for industrial deployment. KW - Nondestructive Testing KW - Corrosion detection KW - Waste storage KW - Thermography KW - Safety PY - 2026 DO - https://doi.org/10.5281/zenodo.18916290 PB - Zenodo CY - Geneva AN - OPUS4-65666 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Markötter, Henning A1 - Sintschuk, Michael A1 - Bruno, Giovanni T1 - X-ray computed tomography scanning schemes and reconstruction capabilities at the BAMline (BESSY II) N2 - The BAMline at the BESSY II synchrotron (Berlin, Germany) is a multipurpose beamline that is used for computed tomography, among other techniques. For more than 20 years it has been used in various scientific fields to access and analyze internal structural features such as porosity, cracks or delamination. The general trend of tomographic X-ray imaging is moving towards in situ and operando studies to access the above-mentioned features under the most realistic conditions. This article presents the X-ray computed tomography (XCT) capabilities and the software suite, such as live reconstruction available to imaging users. Direct XCT reconstruction plays an important role in the quality control of the performed experiments and is particularly crucial for in situ and operando experiments. The BAMline now offers a sequence-based step-scan XCT that enables preview reconstruction during the scan to gain early insight into the scanned sample even while the scan is in progress. In addition, the sequence-based scheme includes lateral shifts, thereby mitigating ring artifacts and improving image quality. Finally, since XCT scan parameters, such as sample–detector distance and beam energy, are of utmost importance, we devised calculation software allowing control of monochromators to set the desired beam spectrum. KW - Synchrotron X-ray imaging KW - Computed tomography KW - Preview reconstruction KW - CT scan scheme KW - Software workflow PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-655792 DO - https://doi.org/10.1107/S1600577526001177 SN - 1600-5775 VL - 33 SP - 543 EP - 550 AN - OPUS4-65579 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Battistella, Beatrice T1 - Plasma-Based Analytical Approaches for the Investigation of Li-ion Battery Degradation N2 - The research conducted at the Federal Institute for Material Research and Testing (BAM) focuses on key challenges of the energy transition, spanning hydrogen technologies, electrical energy storage, and renewable energy systems. In the field of energy storage, our primary areas of interest include the safety of electrical energy storage systems, sustainable energy materials, and advanced battery diagnostics. One of our central objectives is to deepen our understanding of the processes contributing to lithium-ion cell degradation, an essential step toward improving next-generation systems and meeting the rapidly growing demand for lithium-ion battery technology. The complexity of these systems, which comprise organic and inorganic compounds in multiple aggregation states, presents significant analytical challenges. To address these challenges, we are developing novel analytical methods to further expand our insight into battery degradation mechanisms. Using GD-MS for depth-resolved lithium isotope analysis, we have recently established a correlation between lithium isotope fractionation and the growth of electrode–electrolyte interphases at electrode surfaces. In addition, we are developing GD-OES and LIBS methods for depth-resolved and lateral fluorine analysis, respectively, of lithium-ion battery electrodes to monitor electrolyte and additive degradation. These approaches might also provide valuable analytical tools for assessing the homogeneity of fluorinated active materials. T2 - Berkeley Lab - Prof. Dr. Zorba group seminar (Energy Technologies Area) CY - Berkeley, CA, USA DA - 27.02.2026 KW - Li-ion Batteries KW - Li Isotopes KW - Diagnostic on batteries PY - 2026 AN - OPUS4-65695 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Battistella, Beatrice T1 - Plasma-Based Analytical Approaches for the Investigation of Li-ion Battery Degradation N2 - The research conducted at the Federal Institute for Material Research and Testing (BAM) focuses on key challenges of the energy transition, spanning hydrogen technologies, electrical energy storage, and renewable energy systems. In the field of energy storage, our primary areas of interest include the safety of electrical energy storage systems, sustainable energy materials, and advanced battery diagnostics. One of our central objectives is to deepen our understanding of the processes contributing to lithium-ion cell degradation, an essential step toward improving next-generation systems and meeting the rapidly growing demand for lithium-ion battery technology. The complexity of these systems, which comprise organic and inorganic compounds in multiple aggregation states, presents significant analytical challenges. To address these challenges, we are developing novel analytical methods to further expand our insight into battery degradation mechanisms. Using GD-MS for depth-resolved lithium isotope analysis, we have recently established a correlation between lithium isotope fractionation and the growth of electrode–electrolyte interphases at electrode surfaces. In addition, we are developing GD-OES and LIBS methods for depth-resolved and lateral fluorine analysis, respectively, of lithium-ion battery electrodes to monitor electrolyte and additive degradation. These approaches might also provide valuable analytical tools for assessing the homogeneity of fluorinated active materials. T2 - Applied Spectra Inc. CY - Sacramento, CA, USA DA - 05.03.2026 KW - Lithium-Ion Battery PY - 2026 AN - OPUS4-65696 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -