@inproceedings{WilbersGuenthervandeSandetal.2025, author = {Wilbers, Simon and G{\"u}nther, Norman and van de Sand, Ron and Prell, Bastian and Reiff-Stephan, J{\"o}rg}, title = {Components of reusable prompts for humanity-centered automation}, series = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, booktitle = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, editor = {Reiff-Stephan, J{\"o}rg and J{\"a}kel, Jens and Reichelt, Dirk}, publisher = {Hochschule f{\"u}r Technik, Wirtschaft und Kultur}, address = {Leipzig}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20148}, pages = {71 -- 78}, year = {2025}, abstract = {The increasing integration of large language models (LLMs) into cyber-physical production systems, necessitating solutions that are both efficient and aligned with human values and needs. Designing effective and reusable prompts is crucial for creating cyber-physical systems(CPS) that are effective, flexible, reliable, user-friendly and aligned with Humanity-centered Automation. This paper introduces essential components of reusable prompts: Versioning, Model Selection, Purpose Definition, Variables, Examples, and Output Structuring. By applying the proposed components, developers might enable CPS employing LLMs to operate with more predictable inputs and outputs, enabling better control over results and facilitating the chaining of multiple prompts or collaboration between different LLMs. These components emerged from extensive experimentation with various LLMs and prompt configurations. The resulting framework supports the maintenance of prompt collections similar to codebases and thus enhances traceability, maintainability, and human oversight. Such structured components for prompt design supports humanity-centered automation by ensuring that technological advances serve human values and improve interaction with complex systems.}, language = {en} } @inproceedings{GuentherPrellvandeSandetal.2024, author = {G{\"u}nther, Norman and Prell, Bastian and van de Sand, Ron and Reiff-Stephan, J{\"o}rg}, title = {Industrie 5.0 Lernumgebung am Beispiel der Wildauer Smart Production}, series = {Tagungsband AALE 2024}, booktitle = {Tagungsband AALE 2024}, editor = {Reiff-Stephan, J{\"o}rg and J{\"a}kel, Jens and St{\"o}cker, Christian}, publisher = {Hochschule f{\"u}r Technik, Wirtschaft und Kultur}, address = {Leipzig}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18538}, pages = {365 -- 372}, year = {2024}, abstract = {Die Industrie 5.0 fordert neue Lernans{\"a}tze und zeitgleich auch passende Lernumgebungen. Parallel m{\"u}ssen diese neben den didaktischen Herausforderungen auch den Transfer- und {\"U}bertragungsgedanken auf die industriellen Anwendungen gerecht werden. Durch die t{\"a}glich steigende Anzahl vielf{\"a}ltiger KI-Tools insbesondere textgenerierenden Tools, braucht es Systeme mit einem breiten Anwendungsbereich. Im Rahmen des vorliegenden Beitrags geben die Autoren einen Einblick in die Wildauer Smart Production, welche den transdisziplin{\"a}ren Gedanken von Lern- und Transferumgebungen Rechnung tr{\"a}gt, M{\"o}glichkeiten der Gestaltung komplexer Produktionssysteme widerspiegelt, die Integration menschzentrierter Ans{\"a}tze erm{\"o}glicht und als Forschungsumgebung eingesetzt wird.}, language = {de} } @inproceedings{WilbersKupperGuentheretal.2025, author = {Wilbers, Simon and Kupper, Stefan and G{\"u}nther, Norman and van de Sand, Ron and Prell, Bastian and Speck, Sandy and Reiff-Stephan, J{\"o}rg}, title = {Unveiling automation potential through a better understanding of ideal cycle time}, series = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, booktitle = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, editor = {Reiff-Stephan, J{\"o}rg and J{\"a}kel, Jens and Reichelt, Dirk}, publisher = {Hochschule f{\"u}r Technik, Wirtschaft und Kultur}, address = {Leipzig}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20205}, pages = {223 -- 230}, year = {2025}, abstract = {This publication demonstrates that determining the maximum speed or Ideal Cycle Time (ICT) of machinery or cyber-physical systems is crucial for uncovering the limits of automation in a given system. Possibly increasing Overall Equipment Effectiveness (OEE) and identify opportunities for further digitization, automation, and AI integration. Based on literature review and expert interviews, methods for establishing ICT, mentioned in literature were identified and crosscheck with what practitioners in operation actually use and how they apply them. The identified methods were: Empirical Measurement and Data Analysis, Time Studies, Statistical Process Control (SPC), Benchmarking, Simulation and Modeling, Expert Judgment, and Continuous Improvement Practices we. We contrast these with insights obtained from interviews conducted with experts from companies in the German federal State of Brandenburg, representing diverse industries and sectors. Findings suggest that while companies recognize somewhat their ICT or maximum operational speeds, they often lack a structured method for determining them. They frequently use combinations of established methods inconsistently. We deduce that a formalized approach to defining ICT can better reveal system limitations and potential for expanding them through advanced automation and. We argue that a well-defined ICT is essential for pushing the boundaries of automated systems, contributing to more effective and Humanity-Centered Automation (HCA) solutions.}, language = {en} } @inproceedings{FiebelkornKugelGuentheretal.2025, author = {Fiebelkorn, Richard and Kugel, Rafael and G{\"u}nther, Norman and Reiff-Stephan, J{\"o}rg}, title = {Predictive Maintenance in der Baumpflege - TreeAngel}, series = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, booktitle = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, editor = {Reiff-Stephan, J{\"o}rg and J{\"a}kel, Jens and Reichelt, Dirk}, publisher = {Hochschule f{\"u}r Technik, Wirtschaft und Kultur}, address = {Leipzig}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20193}, pages = {251 -- 259}, year = {2025}, abstract = {Die Gew{\"a}hrleistung der Verkehrssicherheit von B{\"a}umen stellt eine zentrale Herausforderung f{\"u}r St{\"a}dte und Gemeinden dar. Traditionelle, manuelle Inspektionsmethoden sind zeit- und ressourcenintensiv sowie anf{\"a}llig f{\"u}r menschliche Fehler. Der folgende Artikel pr{\"a}sentiert ein innovatives System zur automatisierten Baumzustandsbewertung, welches moderne Kameratechnologien und K{\"u}nstliche Intelligenz (KI) nutzt. Im Rahmen einer Machbarkeitsstudie wurden Bilddaten, welche durch verschiedene Kamerasysteme erzeugt wurden, analysiert. Basierend auf diesen Daten wurde ein YOLOv8-Modell trainiert, welches eine pr{\"a}zise Detektion von B{\"a}umen und Sch{\"a}den, wie beispielsweise Totholz, erm{\"o}glicht. Die Ergebnisse des vorgestellten Prototypensystems sind vielversprechend hinsichtlich Genauigkeit und Effizienz. Es zeigt das Potenzial, manuelle Inspektionen durch automatisierte Verfahren zu erg{\"a}nzen oder zu ersetzen. Die pr{\"a}sentierten Resultate legen den Grundstein f{\"u}r nachhaltige und skalierbare Ans{\"a}tze in der Baumpflege und k{\"o}nnen zur Steigerung der {\"o}ffentlichen Sicherheit und Effizienz im urbanen Management beitragen.}, language = {de} } @inproceedings{PrellGuentherReiffStephan2021, author = {Prell, Bastian and G{\"u}nther, Norman and Reiff-Stephan, J{\"o}rg}, title = {Cyber-Physical Production Systems in Settings with Limited Infrastructure}, series = {2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021)}, booktitle = {2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021)}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-14993}, pages = {229 -- 238}, year = {2021}, abstract = {During the last decade production innovation was mainly focused on connectivity aspects. The vision of smart factories running on software, that uses collected machine data, has become true but foremost for leading industrial companies in highly developed countries. Apart from these, production can also be found in non-industrialized craft professions as well as in less developed countries. As digitalization does not necessarily require an industrial or developed setting the latter could possibly benefit from it as well. Socio-cyber-physical production systems have been used to describe the interdependencies of linked production systems but usually focus on highly developed regions as well as for industrial applications. This paper lines out similarities and differences for each case, introduces the concept of cyber-physical production systems (CPPS) and its extension to socio-CPPS (SCPPS), which emphasizes the role of human workers in the production environment. The relation between industrial, non-industrial production and innovations is examined. Furthermore, the widening of SCCPS concepts for non-industrial production is discussed.}, language = {en} } @inproceedings{FalkvandeSandCorasanitietal.2021, author = {Falk, Constantin and van de Sand, Ron and Corasaniti, Sandra and Reiff-Stephan, J{\"o}rg}, title = {A Comparison Study of Data-Driven Anomaly Detection Approaches for Industrial Chillers}, series = {2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021)}, booktitle = {2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021)}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-14970}, pages = {165 -- 174}, year = {2021}, abstract = {Faults in industrial chiller systems can lead to higher energy consumption, increasing wear of system components and shorten equipment life. While they gradually cause anomalous system operating conditions, modern automatic fault detection models aim to detect them at low severity by using real-time sensor data. Many scientific contributions addressed this topic in the past and presented data-driven approaches to detect faulty system states. Although many promising results were presented to date, there is lack of suitable comparison studies that show the effectiveness of the proposed models by use of data stemming from different chiller systems. Therefore this study aims at detecting a suitable data-driven approach to detect faults reliable in different domains of industrial chillers. Thus, a unified procedure is developed, to train all algorithms in an identical way with same data-basis. Since most of the reviewed papers used only one dataset for training and testing, the selected approaches are trained and validated on two different datasets from real refrigeration systems. The data-driven approaches are evaluated based on their accuracy and true negative rate, from which the most suitable approach is derived as a conclusion.}, language = {en} } @inproceedings{vandeSandCorasanitiReiffStephan2021, author = {van de Sand, Ron and Corasaniti, Sandra and Reiff-Stephan, J{\"o}rg}, title = {Positive-Unlabelled Learning based Novelty Detection for Industrial Chillers}, series = {2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021)}, volume = {1}, booktitle = {2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021)}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-14965}, pages = {155 -- 164}, year = {2021}, abstract = {Chiller systems are used in many different applications in both the industrial and the commercial sector. They are considered major energy consumers and thus contribute a non-negligible factor to environmental pollution as well as to the overall operating cost. In addition, chillers, especially in industrial applications, are often associated with high reliability requirements, as unplanned system downtimes are usually costly. As many studies over the past decades have shown, the presence of faults can lead to significant performance degradation and thus higher energy consumption of these systems. Thus, data-driven fault detection plays an ever-increasing role in terms of energy efficient control strategies. However, labelled data to train associated algorithms are often only available to a limited extent, which consequently inhibits the broad application of such technologies. Therefore, this paper presents an approach that exploits only a small amount of labelled and large amounts of unlabelled data in the training phase in order to detect fault related anomalies. For this, the model utilizes the residual space of the data transformed through principal component analyses in conjunction with a biased support vector machine, which can be ascribed to the concept of semi-supervised learning, or more specifically, positive-unlabelled learning.}, language = {en} } @misc{vonLipinskiRichterReiffStephan2015, author = {von Lipinski, Ren{\´e} and Richter, Markus and Reiff-Stephan, J{\"o}rg}, title = {Informationsgewinnung im cyberphysischen Produktionssystem}, series = {Wissenschaftliche Beitr{\"a}ge 2015}, volume = {19}, journal = {Wissenschaftliche Beitr{\"a}ge 2015}, issn = {0949-8214}, doi = {10.15771/0949-8214_2015_1_7}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-3574}, pages = {55 -- 60}, year = {2015}, abstract = {Im Fokus vieler industrieller Forschungsprojekte steht die intelligente Vernetzung von Entit{\"a}ten im produktionstechnischen Umfeld. Im Rahmenkonzept Industrie 4.0 wird zum Wandel bestehender hierarchischer Betriebsstrukturen in ein cyberphysisches Produktionssystem beigetragen. Priorit{\"a}t haben Untersuchungen sensorischer Komponenten und deren Verkettung als F{\"u}hrungselement im zuk{\"u}nftigen Produktionsumfeld, welches durch Selbstanalyse, Selbstorganisation und Selbstoptimierung gepr{\"a}gt sein wird. Ziel des Hochschulprojektes (iSensPK) ist die Abwandlung bestehender Sensorkonzepte und deren Nutzbarmachung f{\"u}r das Internet der Dinge. Einen Schwerpunkt wird dabei insbesondere die Definition und Verkn{\"u}pfung stabiler Kommunikationswege darstellen. Als Demonstrator erfolgt der Aufbau eines 6-Komponenten Kraftmesssystems zur Pr{\"u}fung und Kalibrierung moderner Greifertechnologien unter Feldbedingungen. Durch die umfangreiche Vernetzung verschiedener Sensoren erfolgt die Erfassung von St{\"o}rgr{\"o}ßen im Testumfeld. Das gewonnene Abbild der physischen Umgebung dient zur Korrektur der Kraftmessungsergebnisse. F{\"u}r die Realisierung eines derartigen Kraftmess- und Umfelderfassungssystems wird in den sensorisch relevanten Bereichen der Kommunikation, Sensordatenfusion, Multifunktionsintegration und Selbstorganisation nach L{\"o}sungsans{\"a}tzen gesucht.}, language = {de} } @misc{vonLipinskiReiffStephan2014, author = {von Lipinski, Ren{\´e} and Reiff-Stephan, J{\"o}rg}, title = {Nutzung regenerativer Energie als Tr{\"a}ger mechanischer Leistung in der Savannenregion Westafrikas}, series = {Wissenschaftliche Beitr{\"a}ge 2014}, volume = {18}, journal = {Wissenschaftliche Beitr{\"a}ge 2014}, issn = {0949-8214}, doi = {10.15771/0949-8214_2014_1_5}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-3320}, pages = {37 -- 43}, year = {2014}, abstract = {Ein Großteil des afrikanischen Kontinents ist noch immer von Armut betroffen. Im besonderen Maße ist dieser Zustand pr{\"a}gend f{\"u}r die westafrikanische Republik Togo. Kennzeichnend f{\"u}r die Region ist, dass sie {\"u}ber ein sehr schlecht ausgebautes Energienetz verf{\"u}gt. Dieses hindert die Entwicklungsbedingungen sowohl im wirtschaftlichen als auch bildungspolitischen Bereich. Um die Weiterentwicklung des Landes zu f{\"o}rdern, hat sich die Technische Hochschule Wildau zum Ziel gestellt, Projektarbeiten im Bereich der Nutzbarmachung regenerativer Energien zu unterst{\"u}tzen und so einen Beitrag zur „Hilfe durch Selbsthilfe" zu leisten. Im folgenden Artikel wird eine Analyse der Savannenregion hinsichtlich der klimatischen Bedingungen aufgezeigt. Die Analyseergebnisse dienen als Basis f{\"u}r die Ableitung m{\"o}glicher regenerativer Energietr{\"a}ger und Konzepte zu deren dezentraler Nutzung. Am Fallbeispiel einer Lehmsteinpresse wird gezeigt, inwieweit der f{\"u}r die Region optimale regenerative Energietr{\"a}ger sinnvoll in mechanische Leistung {\"u}berf{\"u}hrt werden kann. Eine Berechnungsgrundlage zur Auslegung entsprechender Leistungsbedarfe wird abgeleitet. Hiermit wird ein Beitrag zum nachhaltigen Verbessern der Lebensbedingungen in Westafrika geleistet.}, language = {de} } @inproceedings{WilbersvandeSandPrelletal.2025, author = {Wilbers, Simon and van de Sand, Ron and Prell, Bastian and Reiff-Stephan, J{\"o}rg}, title = {Agentic Recommender System Konzept f{\"u}r nachhaltiges Wissensmanagement}, series = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, booktitle = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, editor = {Reiff-Stephan, J{\"o}rg and Beuster, Anja}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20764}, year = {2025}, abstract = {Unternehmen stehen vor erheblichen Herausforderungen beim Erhalt, bei der Nutzung und Weitergabe zentralen Wissens. Demografischer Wandel, zunehmender Mitarbeiterfluktuation und steigende organisatorische Komplexit{\"a}t erschweren klassische Dokumentations- und Austauschprozesse, welche auf erhebliche Mitarbeitendenmitwirkung angewiesen sind. Mithilfe generativer KI und agentischer Recommender-Systeme lassen sich diese Hindernisse {\"u}berwinden, indem wichtiges Wissen "on-the-fly" und weitestgehend automatisiert erfasst wird. Ein zentrales Element bildet hierbei die Kombination aus semantischen Embeddings, einer Graphdatenbank und spezialisierten KI-Agenten, die Dokumente und Chatverl{\"a}ufe analysieren, Mitarbeiter gezielt mit Vorschl{\"a}gen unterst{\"u}tzen und Wissen so kontinuierlich aktualisieren. So entsteht eine effektive Wissenskultur mit niedrigen Barrieren f{\"u}r die Nutzung dank minimalem Mehraufwand f{\"u}r die menschlichen Nutzer.}, language = {de} } @inproceedings{ReiffStephanZeise2025, author = {Reiff-Stephan, J{\"o}rg and Zeise, Dominique}, title = {AI-Based Cooperation Management in the Early Stages of Entrepreneurship: Matchmaking at Start-Up Events}, series = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, booktitle = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, editor = {Reiff-Stephan, J{\"o}rg and Beuster, Anja}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20779}, year = {2025}, abstract = {In today's dynamic industry, successful start-ups require not only innovative ideas, but also the right partners - artificial intelligence can help bring them together efficiently and in a targeted manner. This article discusses the role of artificial intelligence (AI) in cooperation management at start-up events. The authors present the AI-supported matchmaking tool 'KIKma', which uses profile and interest analyses to make targeted cooperation suggestions to founders, investors and mentors. The system is based on a transformer model that classifies participant profiles and generates suggestions for targeted speed dating slots. The results show a high degree of accuracy, but occasional misclassifications occur due to ambiguities. This could be improved by fine-tuning the model or optimising the questionnaires. The aim is to facilitate exchange in the start-up landscape and establish an intelligent, adaptive cooperation network in the long term. The authors see great potential for future applications in innovation management in the continuous optimisation of the matching algorithm.}, language = {de} } @inproceedings{FiebelkornKugelGuentheretal.2025, author = {Fiebelkorn, Richard and Kugel, Rafael and G{\"u}nther, Norman and Reiff-Stephan, J{\"o}rg}, title = {Predictive Maintenance in Tree Care - TreeAngel}, series = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, booktitle = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, editor = {Reiff-Stephan, J{\"o}rg and Beuster, Anja}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20801}, year = {2025}, abstract = {Ensuring the traffic safety of trees poses a significant challenge for urban authorities. Conventional manual inspection methods are both time-consuming and resource-intensive, and they are subject to human error. The following paper presents an innovative system for automated tree condition assessment using modern camera technologies and artificial intelligence (AI). As part of a feasibility study, image data generated by various camera systems was analyzed. Based on this data, a YOLOv8 model was trained, which enables precise detection of trees and damage, such as deadwood. The results of the prototype system presented are promising in terms of accuracy and efficiency, suggesting the potential to supplement or replace manual spections with automated procedures. The results of this study lay the foundation for sustainable and scalable approaches in tree care and can contribute to increasing public safety and efficiency in urban management.}, language = {en} } @inproceedings{DietrichvandeSandReiffStephan2021, author = {Dietrich, Alexander and van de Sand, Ron and Reiff-Stephan, J{\"o}rg}, title = {Implementation of a Machine Tool Retrofit System}, series = {2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021)}, booktitle = {2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021)}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-15004}, pages = {239 -- 247}, year = {2021}, abstract = {Small and medium-sized companies increasingly turning their attention towards the fourth industrial revolution. In order to increase their own long-term competitiveness, there is a growing desire to make production smarter, more efficient, safer and more sustainable through new technologies. Often, however, existing plants cannot be easily replaced by modern equipment. The reasons for this can be high investment costs, excessive downtimes or the unavailability of an equivalent machine. An alternative solution to the purchase of new equipment is the modernisation or expansion of existing systems, also called retrofitting. Thus, this paper deals with the retrofit process of a machine tool, whereby the software architecture of the control unit is the primary concern of this work.}, language = {en} } @inproceedings{GieseReiffStephan2021, author = {Giese, Lutz B. and Reiff-Stephan, J{\"o}rg}, title = {Hydrogen and Usability of Hydrogen Storage Technologies}, series = {2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021)}, booktitle = {2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021)}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-14937}, pages = {97 -- 106}, year = {2021}, abstract = {Science, technology and politics agree: hydrogen will be the energy carrier of the future. It will replace fossil fuels based on a sufficient supply from sustainable energy. Since the possibilities of storing and transporting hydrogen play a decisive role here, the so-called LOHC (Liquid Organic Hydrogen Carriers) can be used as carrier materials. LOHC carrier materials can reversibly absorb hydrogen, store it without loss and release it again when needed. Since little or no pressure is required, normal containers or tanks can be used. The volume or mass-related energy densities can reach around a quarter of liquid fossil fuels. This paper is to give an introduction to the field of hydrogen storage and usage of those LOHC, in particular. The developments of the last ten years have been related to the storage and transport of hydrogen with LOHC. These are crucial to meet the future demand for energy carriers e.g. for mobile applications. For this purpose, all transport systems are under consideration as well as the decentralized supply of rural areas with low technological penetration, e.g. regions of Western Africa which are often characterized by a lack of energy supply. Hydrogen bound in LOHC can provide a hazard-free alternative for distribution. The paper provides an overview of the conversion forms as well as the chemical carrier materials. Dibenzyltoluene as well as N-ethylcarbazole - as examples for LOHC - are discussed as well as chemical hydrogen storage materials like ammonia boranes as alternatives to LOHC.}, language = {en} }