Blar i NTNU Open på forfatter "Paltrinieri, Nicola"
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A Machine Learning Approach to Predict the Materials' Susceptibility to Hydrogen Embrittlement
Campari, Alessandro; Alikhani Darabi, Maryam; Alvaro, Antonio; Ustolin, Federico; Paltrinieri, Nicola (Journal article; Peer reviewed, 2023) -
Managing Heterogeneous Datasets for Dynamic Risk Analysis of Large-Scale Infrastructures
Pacevicius, Michael Felix; Ramos, Marilia Abilio; Roverso, Davide; Eriksen, Christian Thun; Paltrinieri, Nicola (Peer reviewed; Journal article, 2022)Risk assessment and management are some of the major tasks of urban power-grid management. The growing amount of data from, e.g., prediction systems, sensors, and satellites has enabled access to numerous datasets originating ... -
Mathematical modeling and simulation of hydrogen-fueled solid oxide fuel cell system for micro-grid applications - Effect of failure and degradation on transient performance
Colombo, Konrad Werner Eichhorn; Kharton, Vladislav V.,; Berto, Filippo; Paltrinieri, Nicola (Peer reviewed; Journal article, 2020)We use a detailed solid oxide fuel cell (SOFC) model for micro-grid applications to analyze the effect of failure and degradation on system performance. Design and operational constraints on a componentand system level are ... -
Medium-scale Tests to Investigate the Possibility and Effects of BLEVEs of Storage Vessels Containing Liquified Hydrogen
van Wingerden, Kees; Kluge, Martin; Habib, Abdel Karim; Ustolin, Federico; Paltrinieri, Nicola (Peer reviewed; Journal article, 2022)Experiments have been performed to determine the consequences of a storage vessel containing liquified hydrogen (LH2) is engulfed by a fire. The tests were performed at the Test Site Technical Safety of the Bundesanstalt ... -
Meta-learning for Safety Management
Paltrinieri, Nicola; Patriarca, Riccardo; Stefana, Elena; Brocal, Francisco; Reniers, Genserik (Peer reviewed; Journal article, 2020)The experience gathered from normal industrial operations allows us to associate its degrading conditions with the potential for an accident. Such association is the basis for the definition of the system risk and appropriate ... -
Meta-Learning Potential to Assess Uncertainties in Dynamic Risk Management
Stefana, Elena; Paltrinieri, Nicola (Chapter, 2020)Meta-learning studies how learning systems can increase in efficiency through experience. Its purpose is to understand how learning itself can become flexible according to the tasks or contexts under study. These properties ... -
Modelling and simulation of an Offshore Wind-Hydrogen combined system for hydrogen production using an anion exchange membrane electrolyzer
Mosca, Federica (Master thesis, 2023)Numerous researchers suggest utilizing renewable energy to replace fossil fuels, which have limitations and contribute to pollution. Renewable energy sources are boundless and do not generate pollution during their operation. ... -
Modelling hazardous event scenarios for decision support
Lee, Shenae; Liu, Yiliu; Paltrinieri, Nicola (Chapter, 2017)Quantitative risk analysis has been a successful tool to support decision-making related to the design of technical (safety) barriers. A quantitative risk model may comprise a combination of event trees and fault trees, ... -
Modelling of Accident Scenarios from Liquid Hydrogen Transport and Use
Ustolin, Federico (Doctoral theses at NTNU;2021:241, Doctoral thesis, 2021)Hydrogen is one of the most suitable candidates to replace hydrocarbons and reduce the environmental pollution and CO2 emissions. Hydrogen is valuable energy carrier, potentially clean and renewable thanks to its peculiar ... -
Moka Digital Twin: A Small-Scale Study for Process Engineering Applications
Bairampalli, Siddanth Nayak (Master thesis, 2020)Digital twins have emerged as an important tool being used in the industry for monitoring equipment. Data generated from a physical device or a process provides an opportunity to apply machine learning algorithms for anomaly ... -
Monitoring approaches for safe road transport of hydrogen
Tuhi, Farhana Yasmine (Master thesis, 2022)Hydrogen er den mest lovende kandidaten for å erstatte fossilt brensel ettersom det under forbrenning ikke produserer karbondioksid så vel som det er rikelig i naturen og inneholder høy gravimetrisk energitetthet. Det har ... -
On Disaster Risk Reduction in Norwegian Oil and Gas Industry Through Life-Cycle Perspective
Ibrion, Mihaela; Paltrinieri, Nicola; Rasekhi Nejad, Amir (Chapter, 2019)This paper presents the risk reduction in Norwegian oil & gas industry over the time (1975-2016) through a life cycle perspective analysis with the aim to identify the critical stage(s) both in terms of accident occurrence ... -
On hierarchical bayesian based predictive maintenance of autonomous natural gas regulating operations
Leoni, Leonardo; BahooToroody, Ahmad; Abaei, Mohammed Mahdi; De Carlo, Filippo; Paltrinieri, Nicola; Sgarbossa, Fabio (Peer reviewed; Journal article, 2021)Safety Improvement of engineering processes, especially Oil & Gas operations, has gained a lot of attention during the last decades. This fundamental vision results in risk remediation programs, minimizing the risks of ... -
On Improving Ocean Safety Culture: Interdisciplinary Learning from Offshore Oil & Gas, Cruise Ships, Aviation, Nuclear and Natural Hazards
Ibrion, Mihaela (Doctoral theses at NTNU;2021:118, Doctoral thesis, 2021) -
On Reliability Challenges of Repairable Systems Using Hierarchical Bayesian Inference and Maximum Likelihood Estimation
Toroody, Ahmad Bahoo; Abaei, Mohammed Mahdi; Arzaghi, Ehsan; Song, Guozheng; De Carlo, Filippo; Paltrinieri, Nicola; Abbassi, Rouzbeh (Journal article; Peer reviewed, 2019)Failure modelling and reliability assessment of repairable systems has been receiving a great deal of attention due to its pivotal role in risk and safety management of process industries. Meanwhile, the level of uncertainty ... -
On Risk of Digital Twin Implementation in Marine Industry: Learning from Aviation Industry
Ibrion, Mihaela; Paltrinieri, Nicola; Rasekhi Nejad, Amir (Journal article; Peer reviewed, 2019)This paper presents some aspects of the risk and challenges associated with digital twin implementation in the marine industry by learning from the aviation industry where the digital twin is more widely employed. The ... -
On risk-based maintenance: A comprehensive review of three approaches to track the impact of consequence modelling for predicting maintenance actions
Leoni, Leonardo; De Carlo, Filippo; Paltrinieri, Nicola; Sgarbossa, Fabio; BahooToroody, Ahmad (Journal article; Peer reviewed, 2021)Since gas plants are progressively increasing near urban areas, a comprehensive tool to plan maintenance and reduce the risk arising from their operations is required. To this end, a comparison of three Risk-Based Maintenance ... -
On the Mechanical Energy Involved in the Catastrophic Rupture of Liquid Hydrogen Tanks
Ustolin, Federico; Giannini, Leonardo; Pio, Gianmaria; Salzano, Ernesto; Paltrinieri, Nicola (Peer reviewed; Journal article, 2022)Hydrogen can play a central role in the energy transition thanks to its unique properties. However, its low density is one of the main drawbacks. The liquefaction process can drastically increase its density up to virtually ... -
Online Classification of Alarm Floods Using a Word2vec Algorithm
Tamascelli, Nicola; Mohan Rao, Harikrishna Rao; Cozzani, Valerio; Paltrinieri, Nicola; Chen, Tongwen (Chapter, 2023)Alarm floods are periods of intense alarm activity that may hinder control room operators' ability to diagnose and respond to process abnormalities. In this context, a method to guide and assist operators during alarm ... -
Prediction of Condensed Phase Formation during an Accidental Release of Liquid Hydrogen
Ustolin, Federico; Ferrari, Federica; Paltrinieri, Nicola (Peer reviewed; Journal article, 2022)Hydrogen can be adopted as a clean alternative to hydrocarbons fuels in the marine sector. Liquid hydrogen (LH2) is an efficient solution to transport and store hydrogen onboard of large ships. LH2 will be implemented in ...