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Item type:Publication, Enhancing alarm management in green hydrogen plants: A comprehensive analysis of the V-NETS-based methodology(Ecopetrol S.A., 2024-12-01)This paper presents a novel V-nets-Based Alarm Management (VBAM) methodology designed to enhance supervision and safety in Green Hydrogen Plants (GHPs). The proposed approach integrates visual modeling and temporal pattern analysis to accurately detect and manage alarms, seeking to reduce false positives and optimize response times. The methodology starts with a Preliminary Hazard and Operability (HAZOP) analysis to identify potential hazards and critical operational conditions, which are the foundation for constructing V-nets that map the temporal relationships between discrete events. By systematically capturing event sequences and their interdependencies, the VBAM approach allows for early fault detection and a proactive alarm management system fit for varying operational scenarios. A case study of the EL30N Green Hydrogen Plant proves the efficacy of the VBAM methodology in reducing downtime, improving system safety, and enhancing overall operational efficiency. This work provides a comprehensive framework for addressing discrete event challenges in alarm management, paving the way for safer and more resilient practices in green hydrogen production. Future directions will include expanding the application of VBAM to other operational phases and incorporating real-time analytics for further performance optimization. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Alarm management approach for supervision of green hydrogen plants(Elsevier Ltd, 2024-10-20)Amid the increasing significance of renewable energy sources, Green Hydrogen Plants (GHPs) have emerged as pivotal contributors to sustainable energy solutions. However, efficient and reliable alarm management in such complex systems remains a significant challenge. This paper presents a novel methodology called V-nets-based alarm management (VBAM), designed to improve supervision by addressing the intricacies of discrete event management in industrial applications such as GHPs. VBAM offers a powerful formalism that integrates visual modeling and temporal patterns, enabling the precise detection and handling of alarms. The proposed methodology is applied to a case study in a GHP, where critical operational parameters are continuously monitored. By analyzing discrete events and their temporal patterns, V-nets facilitate early fault detection, minimize false positives, and optimize alarm response. The theoretical application of VBAM demonstrates its efficacy in improving system safety, reducing downtime, and enhancing overall operational efficiency within GHPs. The contributions of this work to the state of the art include the development of a comprehensive VBAM methodology tailored to GHPs, as well as the theoretical and practical demonstration of its potential impact on alarm management within GHP operations. The outcomes from the experiments showcase the adaptability and effectiveness of VBAM in addressing the complexities of alarm management in GHPs, thereby contributing to enhanced safety, efficiency, and resilience in the operation of GHPs. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, V-nets(Elsevier B.V., 2024-06-01)This article presents an actualization of the formalism V-nets which is a tool of supervision that deals with diagnosis problems of industrial processes, situations such as simultaneity, and false positives in sequences of discrete events. In particular, in fault detection applications, industrial processes need the dependability of their control and supervisory systems. Since the start of the investigation into automata and simulation theories, almost 50 years ago, simultaneous occurrences have been a crucial and challenging subject. This situation is a false problem that comes from the notion of "state", that is to say, that model Petri Nets, DEVS, and State Charts, among others, do not come from the concrete process under consideration. Therefore, this new formalism is based on the model of Chronicles and improved with other tools and elements that permit an increase in its functionality. V-nets are provided as a way to represent dynamic processes without using the state machine paradigm, with robustness and the capacity to distinguish discrete event sequences. An analysis of alarm management in a Green Hydrogen Plant (GHP) is presented and concludes with a comparative analysis of Time Petri Nets (TPN), Timed Automata (TA), Chronicles, and V-nets.