The SMEDIS database and validation exercise

Carissimo, Bertrand; Jagger, S.F.; Daish, NC; Halford, A. J.; Selmer-Olsen, S.; Riikonen, Kari; Perroux, J.M.; Würtz, J.; Bartzis, John G.; Duijm, Nijs Jan; Ham, Kaisar; Schatzmann, Michael; Hall, David

doi:10.1504/ijep.2001.000654

Cited by 21 publications

(21 citation statements)

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“…To extend the previous evaluation work carried out by HGD Expert Group the CEC funded from 1996 to 1999 the SMEDIS project (Scientific Model Evaluation of Dense gas DIspersion Models) [60,61]. The project objective was to develop and test a framework for scientific evaluation of models for dense gas dispersion in complex situations.…”

Section: Experience In Quality Evaluation Of Heavy Gas Dispersion Modmentioning

confidence: 99%

“…The model evaluation protocol developed for SMEDIS is consistent with the MEG protocol and makes use of the HGD protocol. It includes the following sections [60,61]: (i) general model description, which covers: the name, version number and release rate, short description of the model, model type, route of model into evaluation, history of model, quality assurance standards adopted, relations with other models, current model usage, hardware and software requirements, availability and costs; (ii) scientific basis, which comprises: the specification of the source, specification of the environment, model physics and formulation, solution techniques, sources of model uncertainty, limits of applicability, special features, planned scientific developments; (iii) user orientated aspects, which include: the user oriented documentation and help, installation procedures, description of the user interface, internal databases, guidance in selection of model options, assistance in the inputting data, error messages and checks on use of model beyond the scope, computational costs, clarity and flexibility of output results, suitability to users and usage, possible improvements, planned user oriented developments; (iv) verification performed; (v) validation performed; (vi) conclusions.…”

Section: Experience In Quality Evaluation Of Heavy Gas Dispersion Modmentioning

confidence: 99%

“…In the validation exercise which was organised to test the evaluation procedure developed during the SMEDIS project [60,61] the datasets from the REDIPHEM database and the datasets from the field experiments in Thorney Island and from the wind tunnel experiments named EMU-ENFLO (Evaluation of Model Uncertainty, ENvironmental FLOw research centre) were used ( Table 1). The SMEDIS database was created to contain and classify these data based on the following features: source type, gas density, atmospheric conditions, complex effects.…”

Section: Statistical Parameter Name Definition Referencesmentioning

confidence: 99%

“…The SMEDIS database was created as part of the project known under the same acronym [60,61]. It includes the data from the REDIPHEM database and in addition the data sets from Thorney Island and EMU-ENFLO experiments (Table 2).…”

Section: Databases With Experimental Data On Heavy Gas Dispersionmentioning

confidence: 99%

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A Review of Models for the Atmospheric Dispersion of Heavy Gases. Part Ii. Model Quality Evaluation

Markiewicz¹

2013

Ecological Chemistry and Engineering S

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This is the second paper of a two part review. In its first part mathematical models for atmospheric dispersion of heavy gases are classified and the distinguished groups of models are characterised. In this part procedures for the model quality evaluation are described and the main results of model evaluation exercises and databases with experimental data related to the subject are summarised. The quality of a model is clearly of great importance since the decisions concerning the safety of people, environment are based on model calculations. Attention is focused on activities carried out in the European Union countries and in the USA. These include the work of the groups of researchers called MEG, HGDEG, projects known under the names REDIPHEM, SMEDIS, DATABASE and the model evaluation exercise carried out by the Sigma Research Corporation.

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Section: Experience In Quality Evaluation Of Heavy Gas Dispersion Modmentioning

confidence: 99%

Section: Experience In Quality Evaluation Of Heavy Gas Dispersion Modmentioning

confidence: 99%

Section: Statistical Parameter Name Definition Referencesmentioning

confidence: 99%

Section: Databases With Experimental Data On Heavy Gas Dispersionmentioning

confidence: 99%

See 2 more Smart Citations

A Review of Models for the Atmospheric Dispersion of Heavy Gases. Part Ii. Model Quality Evaluation

Markiewicz¹

2013

Ecological Chemistry and Engineering S

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“…An evaluation protocol of dense gas dispersion models has been developed through a program called SMEDIS, a European Union research project funded by the Environment and Climate Research Program [Daish 2000] [Carissimo et al 2001]. Several dense gas dispersion models were assessed from their publication and are listed in Figure 9.…”

Section: Model Evaluation Studiesmentioning

confidence: 99%

Guidance on risk analysis and safety implications of a large liquefied natural gas (LNG) spill over water.

Report¹,

Hightower²,

Gritzo³

et al. 2004

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While recognized standards exist for the systematic safety analysis of potential spills or releases from LNG (Liquefied Natural Gas) storage terminals and facilities on land, no equivalent set of standards or guidance exists for the evaluation of the safety or consequences from LNG spills over water. Heightened security awareness and energy surety issues have increased industry's and the public's attention to these activities. The report reviews several existing studies of LNG spills with respect to their assumptions, inputs, models, and experimental data. Based on this review and further analysis, the report provides guidance on the appropriateness of models, assumptions, and risk management to address public safety and property relative to a potential LNG spill over water. 4 ACKNOWLEDGEMENTThe authors received technical, programmatic, and editorial support on this project from a number of individuals and organizations both inside and outside Sandia National Laboratories. We would particularly like to express our thanks for their support and guidance in the technical evaluations and development of this report.The U.S. Department of Energy was instrumental in providing coordination, management, and technical direction. Special thanks go to DOE personnel in the Office of Oil and Natural Gas, DOE Office of Fossil Energy, for their help in supporting the modeling, analysis, technical evaluations, and risk guidance efforts.To support the technical analysis required for this project, the authors worked with many organizations, including maritime agencies, LNG industry and ship management agencies, LNG shipping consultants, and government intelligence agencies to collect the background information on ship and LNG cargo tank designs, accident and threat scenarios, and LNG ship safety and risk management operations needed to assess LNG spill safety and risk implications.The following individuals were especially helpful in supporting our efforts, providing information, coordinating contacts, and reviewing technical evaluations. Capt. Dave Scott -U.S. Coast Guard Dr. Robin Pitblado -Det Norske Veritas Eric Linsner -PRONAV Ship Management Mike Edens -Office of Naval Intelligence Richard Hoffmann -Federal Energy Regulatory Commission Chris Zerby -Federal Energy Regulatory CommissionTo help in technically reviewing this report, the DOE commissioned an External Peer Review Panel to evaluate the analyses, conclusions, and recommendations presented. The Peer Review Panel consisted of experts in LNG spill testing and modeling, fire modeling, fire protection, and fire safety and risk management. The panel's comments and suggestions were extremely valuable in improving the technical presentation and organization of the report. The authors would like to thank the following members of the External Peer Review Panel for their valuable comments, suggestions, and directions. 10 TABLES 12 FOREWORDThe Energy Information Administration (EIA) estimates that domestic natural gas production is expected to increase more slowly th...

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2010

LNG Risk Based Safety

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The SMEDIS database and validation exercise

Cited by 21 publications

References 3 publications

A Review of Models for the Atmospheric Dispersion of Heavy Gases. Part Ii. Model Quality Evaluation

A Review of Models for the Atmospheric Dispersion of Heavy Gases. Part Ii. Model Quality Evaluation

Guidance on risk analysis and safety implications of a large liquefied natural gas (LNG) spill over water.

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