The Experts below are selected from a list of 1965 Experts worldwide ranked by ideXlab platform
Massimo La Scala - One of the best experts on this subject based on the ideXlab platform.
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classification procedure of the Explosion Risk areas in presence of hydrogen rich syngas biomass gasifier and molten carbonate fuel cell integrated plant
Fuel, 2012Co-Authors: Antonio Molino, F. A. Marraffa, Silvia Lamonaca, Ugo Stecchi, Giseppe Fiorenza, Giuseppe Rotondo, Giacobbe Braccio, G. Giordano, Massimo La ScalaAbstract:Abstract This paper deals with the safety aspects of a 500 kW th (thermal power) biomass gasification plant coupled with a 125 kW e (electric power) molten carbonate fuel cell. In particular, it describes the procedure for assessing the Explosion Risk in presence of hydrogen-rich syngas and compares the results given by the application of technical standards with those obtained by the implementation of a fluid dynamic model for the potential emission scenarios.
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Classification procedure of the Explosion Risk areas in presence of hydrogen-rich syngas: Biomass gasifier and molten carbonate fuel cell integrated plant
Fuel, 2012Co-Authors: Antonio Molino, F. A. Marraffa, Silvia Lamonaca, Ugo Stecchi, Giseppe Fiorenza, Giuseppe Rotondo, Giacobbe Braccio, G. Giordano, Massimo La ScalaAbstract:This paper deals with the safety aspects of a 500 kW th (thermal power) biomass gasification plant coupled with a 125 kW e (electric power) molten carbonate fuel cell. In particular, it describes the procedure for assessing the Explosion Risk in presence of hydrogen-rich syngas and compares the results given by the application of technical standards with those obtained by the implementation of a fluid dynamic model for the potential emission scenarios. © 2012 Elsevier Ltd. All rights reserved.
Antonio Molino - One of the best experts on this subject based on the ideXlab platform.
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classification procedure of the Explosion Risk areas in presence of hydrogen rich syngas biomass gasifier and molten carbonate fuel cell integrated plant
Fuel, 2012Co-Authors: Antonio Molino, F. A. Marraffa, Silvia Lamonaca, Ugo Stecchi, Giseppe Fiorenza, Giuseppe Rotondo, Giacobbe Braccio, G. Giordano, Massimo La ScalaAbstract:Abstract This paper deals with the safety aspects of a 500 kW th (thermal power) biomass gasification plant coupled with a 125 kW e (electric power) molten carbonate fuel cell. In particular, it describes the procedure for assessing the Explosion Risk in presence of hydrogen-rich syngas and compares the results given by the application of technical standards with those obtained by the implementation of a fluid dynamic model for the potential emission scenarios.
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Classification procedure of the Explosion Risk areas in presence of hydrogen-rich syngas: Biomass gasifier and molten carbonate fuel cell integrated plant
Fuel, 2012Co-Authors: Antonio Molino, F. A. Marraffa, Silvia Lamonaca, Ugo Stecchi, Giseppe Fiorenza, Giuseppe Rotondo, Giacobbe Braccio, G. Giordano, Massimo La ScalaAbstract:This paper deals with the safety aspects of a 500 kW th (thermal power) biomass gasification plant coupled with a 125 kW e (electric power) molten carbonate fuel cell. In particular, it describes the procedure for assessing the Explosion Risk in presence of hydrogen-rich syngas and compares the results given by the application of technical standards with those obtained by the implementation of a fluid dynamic model for the potential emission scenarios. © 2012 Elsevier Ltd. All rights reserved.
Jingde Li - One of the best experts on this subject based on the ideXlab platform.
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stochastic analysis of Explosion Risk for ultra deep water semi submersible offshore platforms
Ocean Engineering, 2019Co-Authors: Depeng Kong, Jingde Li, Fasial Khan, Guoming ChenAbstract:Abstract The Response Surface Method (RSM)-based non-intrusive method has been widely used to reduce the computational cost for stochastic Explosion Risk Analysis (ERA) in oil and gas industry. However, the RSM, which may cause the overfitting problem, can reduce robustness and efficiency of the ERA procedure. Therefore, a more robust Bayesian Regularization Artificial Neural Network (BRANN) is introduced in this study. The BRANN-based non-intrusive method is developed along with its executive procedure for stochastic ERA. The BRANN-Dispersion-Deterministic (BDD) models and the BRANN-Explosion-Deterministic (BED) models are firstly developed based on representative simulations. Optimal simulation input numbers of the aforementioned deterministic models are then identified. Furthermore, the exceedance frequency curve is generated by combing the deterministic models with Latin Hypercube Sampling (LHS). Sensitivity analysis of simulation input numbers with regard to the exceedance frequency curve is conducted. Eventually, comparison of the exceedance probability curves between the BRANN-based method and the RSM-based method is carried out. The ultra-deep-water semi-submersible offshore platform is used to demonstrate the advantages of the BRANN-based non-intrusive method.
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multi level Explosion Risk analysis for vces in super large flng facilities
2019Co-Authors: Yimiao Huang, Jingde LiAbstract:This chapter illustrates a multi-level Explosion Risk analysis method for super-large oil and gas facilities, so as of the FLNG platform. Three levels of Risk analyses, i.e., a qualitative Risk screening, a semi-quantitative Risk classification and a quantitative Risk assessment, are implemented. The CFD method is applied for detailed Risk quantification, and an as low as reasonably practical (ALARP) method is adopted as a calibration tool. Safety barriers are introduced as extra Risk indicators and a case study is conducted based on a cylindrical FLNG model.
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standard based lifecycle Risk management of Explosion events
2019Co-Authors: Yimiao Huang, Jingde LiAbstract:This chapter outlines the prevailing Explosion Risk management methods based on worldwide industrial standards. Wherein, a lifecycle Risk management procedure for Explosion accidents based on structural integrity management (SIM) is introduced. A quantitative Risk assessment process including frequency analysis and consequence modelling is explained, and Risk reduction methods including Explosion Risk reduction and structural strengthening are demonstrated.
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cfd based Explosion Risk analysis of blast wall effects on flng platforms
2019Co-Authors: Yimiao Huang, Jingde LiAbstract:This chapter presents a comprehensive safety design of blast wall layout on a cylindrical floating liquefied natural gas (FLNG) platform. The computational fluid dynamics (CFD) simulation results of more than 120 gas cloud sizes and 16,000 gas Explosion overpressures indicate that blast walls are exclusively beneficial for mitigating flammable gas cloud and Explosion overpressure only if the initial gas leak rates are highly momentous. A series of different blast wall layouts are designed for the cylindrical FLNG.
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grid based Risk screening for Explosion accidents at large onshore facilities
2019Co-Authors: Yimiao Huang, Jingde LiAbstract:This chapter demonstrates a grid-based Risk mapping method of Explosion Risk screening for large oil and gas facilities in the immediate neighbourhood of living areas. A target area is divided into a number of grids, and a total Risk mapping can be depicted based on Risk evaluations of all grids. A Bayesian network (BN) model is implemented to consider multi-consequences and the complex interrelationships between consequences and basic factors. Exemplification is demonstrated with a refinery factory.
F. A. Marraffa - One of the best experts on this subject based on the ideXlab platform.
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classification procedure of the Explosion Risk areas in presence of hydrogen rich syngas biomass gasifier and molten carbonate fuel cell integrated plant
Fuel, 2012Co-Authors: Antonio Molino, F. A. Marraffa, Silvia Lamonaca, Ugo Stecchi, Giseppe Fiorenza, Giuseppe Rotondo, Giacobbe Braccio, G. Giordano, Massimo La ScalaAbstract:Abstract This paper deals with the safety aspects of a 500 kW th (thermal power) biomass gasification plant coupled with a 125 kW e (electric power) molten carbonate fuel cell. In particular, it describes the procedure for assessing the Explosion Risk in presence of hydrogen-rich syngas and compares the results given by the application of technical standards with those obtained by the implementation of a fluid dynamic model for the potential emission scenarios.
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Classification procedure of the Explosion Risk areas in presence of hydrogen-rich syngas: Biomass gasifier and molten carbonate fuel cell integrated plant
Fuel, 2012Co-Authors: Antonio Molino, F. A. Marraffa, Silvia Lamonaca, Ugo Stecchi, Giseppe Fiorenza, Giuseppe Rotondo, Giacobbe Braccio, G. Giordano, Massimo La ScalaAbstract:This paper deals with the safety aspects of a 500 kW th (thermal power) biomass gasification plant coupled with a 125 kW e (electric power) molten carbonate fuel cell. In particular, it describes the procedure for assessing the Explosion Risk in presence of hydrogen-rich syngas and compares the results given by the application of technical standards with those obtained by the implementation of a fluid dynamic model for the potential emission scenarios. © 2012 Elsevier Ltd. All rights reserved.
Silvia Lamonaca - One of the best experts on this subject based on the ideXlab platform.
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classification procedure of the Explosion Risk areas in presence of hydrogen rich syngas biomass gasifier and molten carbonate fuel cell integrated plant
Fuel, 2012Co-Authors: Antonio Molino, F. A. Marraffa, Silvia Lamonaca, Ugo Stecchi, Giseppe Fiorenza, Giuseppe Rotondo, Giacobbe Braccio, G. Giordano, Massimo La ScalaAbstract:Abstract This paper deals with the safety aspects of a 500 kW th (thermal power) biomass gasification plant coupled with a 125 kW e (electric power) molten carbonate fuel cell. In particular, it describes the procedure for assessing the Explosion Risk in presence of hydrogen-rich syngas and compares the results given by the application of technical standards with those obtained by the implementation of a fluid dynamic model for the potential emission scenarios.
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Classification procedure of the Explosion Risk areas in presence of hydrogen-rich syngas: Biomass gasifier and molten carbonate fuel cell integrated plant
Fuel, 2012Co-Authors: Antonio Molino, F. A. Marraffa, Silvia Lamonaca, Ugo Stecchi, Giseppe Fiorenza, Giuseppe Rotondo, Giacobbe Braccio, G. Giordano, Massimo La ScalaAbstract:This paper deals with the safety aspects of a 500 kW th (thermal power) biomass gasification plant coupled with a 125 kW e (electric power) molten carbonate fuel cell. In particular, it describes the procedure for assessing the Explosion Risk in presence of hydrogen-rich syngas and compares the results given by the application of technical standards with those obtained by the implementation of a fluid dynamic model for the potential emission scenarios. © 2012 Elsevier Ltd. All rights reserved.
