SC-GS/PI Fabio Corsanego SC-GS/PI CERN - European Organization for Nuclear Research 1 Computer Fluid Dynamic Simulation of Fire and Evacuation Scenarios.

Slides:



Advertisements
Similar presentations
H. BIOLLAY, E. CASALE SCETAUROUTE Tunneling and underground works division – Annecy, France J. OUAZZANI ARCOFLUID, Aix en Provence, France J.C. HANON Annecy.
Advertisements

Topic 4: Panel Discussions 1 April 5, 2014 EFC Panelist-inspired Open Discussion 1.Assessment of 4.1Dave Reuss 2.Assessment of 4.2 Dan Haworth 3.Assessment.
Hongjie Zhang Purge gas flow impact on tritium permeation Integrated simulation on tritium permeation in the solid breeder unit FNST, August 18-20, 2009.
Fire Development in An Underground Corridor — Studies on Ceiling-jet Flow and Flashover Mechanism Mr. Songyang Li STATE KEY LABORATORY OF FIRE SCIENCE,
Using Computational Fluid Dynamics (CFD) for improving cooling system efficiency for Data centers Data Centre Best Practises Workshop 17 th March 2009.
Coupling a Network HVAC Model to a Computational Fluid Dynamics Model Using Large Eddy Simulation Jason Floyd Hughes Associates, Inc Fire + Evacuation.
University of Western Ontario
Fluidyn-VENTCLIM Fluidyn-VENTIL-VENTCLIMFluidyn-VENTIL-VENTCLIM For Ventilation, Smoke evacuation and Air – conditioning Modelling - VENTCLIM fluidyn-VENTCLIM.
MINISTERO DELL’INTERNO DIPARTIMENTO DEI VIGILI DEL FUOCO, DEL SOCCORSO PUBBLICO E DELLA DIFESA CIVILE DIREZIONE CENTRALE PER LA FORMAZIONE An Application.
Waller Creek 8 th Street Side Weir CFD Modeling and Simulation ALDEN Research Laboratory Inc. 30 Shrewsbury St., Holden, MA Preliminary Results September.
Phoenics Conference 2004 Phoenics in Safety Analysis of Offshore and Underground Constructions Dr Terje Toften, Dr Bård Venås.
TS/CV/DC CFD Team CFD Simulation of a Fire in CERN Globe of Science and Innovation Sara C. Eicher CERN, CH.
Computational Fluid Dynamics (CFD) Study on the Influence of Airflow Patterns on Carbon Dioxide Distribution and Emission Rate in a Scaled Livestock Building.
Mr. D. Cannoletta - Environmental Control System Department Mr. E. Riegel - Environmental Control System Department ENVIRONMENTAL CONTROL SYSTEM CABIN.
The simulation analysis of passenger evacuation in one Subway station based on Exodus Speaker: YE Yongfeng TONGJI UNIVERSITY 7th,November, 2008.
Platzhalter für Bild, Bild auf Titelfolie hinter das Logo einsetzen MPA TU BRAUNSCHWEIG Engineering Team Trebes™ Coupled Heat Transfer Processes during.
Enclosure Fire Dynamics
CFD Modeling for Helium Releases in a Private Garage without Forced Ventilation Papanikolaou E. A. Venetsanos A. G. NCSR "DEMOKRITOS" Institute of Nuclear.
1 JRC – IE Pisa on CFD modelling of accidental hydrogen release from pipelines. H. Wilkening - D. Baraldi Int. Conf. on Hydrogen Safety Pisa Sept.
University of South Carolina FCR Laboratory Dept. of Chemical Engineering By W. K. Lee, S. Shimpalee, J. Glandt and J. W. Van Zee Fuel Cell Research Laboratory.
Enclosure Fire Dynamics
Enclosure Fire Dynamics
Pipeline Qra Seminar Title slide Title slide.
Fire Simulation Software Carlos Gonzalez Garza. Objectives  European Building Regulations.  Combustion  Computational Fluid Dynamics  Discretization.
FIRE MODELING OF THE SANDIA TESTS (NUREG/CG-4681) An Educational Program to Improve the Level of Teaching Risk-Informed, Performance-based Fire Protection.
Conventional Facilities and Siting Global Design Effort Safety Requirements for IR Conventional Facilities and Siting Group Safety Requirements for IR.
CFD team supports CERN development 19 May M.Battistin CERN May 19 th 2011 C omputational F luid D ynamics team C omputational F luid D ynamics team.
Natural Convection in free flow: Boussinesq fluid in a square cavity
1 Challenge the future To do list. add extra slide about the coupling, at pressure level. Burn CD.
Towards the Enhancement of Aircraft Cargo Compartment Fire Detection System Certification using Smoke Transport Modeling Walt Gill and Jill Suo-Anttila.
Address: Washington street 40 B-1050 Brussels Belgium Tel: Fax: rehva Federation of European.
TS/CV/DC CFD Team Computational Fluid Dynamics at CERN Michele Battistin CERN, Geneva - Switzerland.
Modelling of Complex Urban Systems and Areas of Possible Improvements
Lecture Objectives Discuss specific class of problems
CLIC CES Webex 12 Nov Summary: – Set of fire safety measures defined in CERN Safety Report – Proposed Structure for CLIC/ILC Fire Safety Report Fabio.
RRC”Kurchatov institute” HYDROGEN SUBSONIC UPWARD RELEASE and DISPERSION EXPERIMENTS in CLOSED CYLINDRICAL VESSEL HYDROGEN SUBSONIC UPWARD RELEASE and.
The Use of Computational Fluid Dynamics (CFD) in Achieving Energy Reductions in New Zealand’s Industrial Energy Consumption Energy Research Group Department.
Lund University / Faculty of Engineering / Department of Fire Safety Engineering and Systems Safety SIMULATION OF CRITICAL EVACUATION CONDITIONS FOR FIRE.
Page 1 SIMULATIONS OF HYDROGEN RELEASES FROM STORAGE TANKS: DISPERSION AND CONSEQUENCES OF IGNITION By Benjamin Angers 1, Ahmed Hourri 1 and Pierre Bénard.
CLIC CES Meeting 14 jan 2009 A resume table for fire safety in LHC, and a possible scheme for other machine – part 1 CERN –SC Fabio Corsanego.
Objective of the investigation: Determine the number and arrangement of jet fans to be installed in the Acapulco Tunnel that will ensure an air quality.
Wu. Y., International Conference on Hydrogen Safety, September Initial Assessment of the Impact of Jet Flame Hazard From Hydrogen Cars In.
FDS5 Simulation Results for VESDA Performance in HKCEC 2MW Fire Test (For internal info only) AEG, Xtralis Jan
2 DGS-SEE SEMINAR ON FIRE PROTECTION FOR PHYSICS RESEARCH FACILITIES OCTOBER 2015 CERN FIRE SIMULATIONS IN THE PS ACCELERATOR TUNNEL TO DEFINE A.
Case Study Example using SFPE Guidelines for Substantiating a Fire Model for a Given Application Stephen M. Hill, P.E. Craig E. Hofmeister, P.E., LEED.
Acetylene Storage in Enclosed Vehicle Compartments Thomas Kamm, P.Eng. Safety Engineering Specialist.
DGS/SEE Seminar on Fire Protection for Physics Research Facilities 7 and 8 October 2015 CERN Introduction status and perspectives S. La Mendola DGS/SEE/XP.
Jet Fuel Vaporization and Condensation: Modeling and Validation Robert Ochs and C.E. Polymeropoulos Rutgers, The State University of New Jersey International.
Fire Resistance of the Load Bearing Structure of High Bay and Instrument Halls Fire and Egress Safety Analysis of the Instrument Halls Björn Yndemark WSP.
Modeling Smoke Transport in Aircraft Cargo Compartments Jill Suo-Anttila ‡, Stefan Domino †, Walt Gill ‡, Paul DesJardin ‡, and Lou Gritzo ‡ ‡ Fire Science.
TS/CV/DC CFD Team June 2005 – CERN & CFD Presentation1M. Battistin TS/CV/Detector Cooling - CFD Team CERN June 24 th 2005 Michele Battistin CERN presentation.
MULTI-COMPONENT FUEL VAPORIZATION IN A SIMULATED AIRCRAFT FUEL TANK C. E. Polymeropoulos Department of Mechanical and Aerospace Engineering, Rutgers University.
Comparison of 5 MW fires in UXC with different geometries Michael Plagge Physics Department Compact Muon Solenoid Experiment Group European Organization.
ERMSAR 2012, Cologne March 21 – 23, 2012 Post-test calculations of CERES experiments using ASTEC code Lajos Tarczal 1, Gabor Lajtha 2 1 Paks Nuclear Power.
Heat Transfer Su Yongkang School of Mechanical Engineering # 1 HEAT TRANSFER CHAPTER 6 Introduction to convection.
CONVECTION : An Activity at Solid Boundary P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi Identify and Compute Gradients.
Fire scenarios of CMS underground installations and model building Michael Plagge Physics Department Compact Muon Solenoid Experiment Group European Organization.
CFD Simulation Investigation of Natural Gas Components through a Drilling Pipe RASEL A SULTAN HOUSSEMEDDINE LEULMI.
Computational Fluid Dynamics P AVEL P ETRUNEAC B ACHELOR OF S CIENCE D ISSERTATION R ENEWABLE E NERGY OF TURBULENCE EFFECTS ON THE SEABED Supervisor(s):
Fire Behavior & Extinguisher Use.
S.G. Giannissi1,2, I.C.Tolias1,2, A.G. Venetsanos1
International Topical Meeting on Nuclear Reactor Thermal Hydraulics
WATER AND LEAD-BISMUTH EXPERIMENTS: FLUENT AND STAR-CD SIMULATION
Simulation of Pipe Flow Using FlowLab 1.1 (PreLab 1)
SOME PROBLEMS FOR ASSESSMENT OF FIRE IN ROAD TUNNELS
Lecture Objectives Learn about particle dynamics modeling
Computational Fluid Dynamic at CERN
COMSOL Simulation of Air Pollutant Particle Transmission in a Building
Preliminary Analysis of Loss of Vacuum Events in ARIES-RS
Blasch Precision Ceramics
Presentation transcript:

SC-GS/PI Fabio Corsanego SC-GS/PI CERN - European Organization for Nuclear Research 1 Computer Fluid Dynamic Simulation of Fire and Evacuation Scenarios for Large Experiments of Physics 5 th HEP Technical Safety Forum at SLAC Apr 2005

SC-GS/PI CERN - European Organization for Nuclear Research2 Topics Introduction CFD Codes Validation Applications Evacuation Codes Validation Applications

SC-GS/PI CERN - European Organization for Nuclear Research3 How to assess fires..let’s begin with the answer which we need; we want to know:… –…For structural integrity Long term wall temperatures Hot gases temperatures –…For life protection Early stage visibility Smoke dilution & composition Gas temperatures (Radiant heat) Mixture fraction Iso-surface plot Gas Temperature slice plot Gas Velocity vector plot Walls and objects Surface Temperature plot

SC-GS/PI CERN - European Organization for Nuclear Research4 The idea is : –To run fully instrumented small scale real fire tests (record fire power, T, p, soot, chemical species and concentration) –to obtain results by interpolation of the real fire tests by means of semi-empirical equation Bigger precision and extrapolation of the small scale tests are possible, to a certain extent (*), with Computational Flow Dynamic (CFD) How to assess fires (continued) …a glance at the CFD method… (*) CFD growing precision and validation means chance to downsize real test on materials and money saved!

SC-GS/PI CERN - European Organization for Nuclear Research5 FDS – (National Institute of Science and Technology –MD-US) (free) Phoenics (Concentr. Heat and Momentum Ldt, GB) ( eu) Fluent (Fluent Inc. GB) (price requested) Flow3d (Flow Science Inc. NM-US) Smartfire (University of Greenwich)(2500eu edu) Jasmine (Ies Limited GB) (12000eu ) Sofie (University of Cranfield – GB)(150eu) CFX Here are reported the most referenced &used CFD codes for Smoke transport-diffusion modeling Dedicated Gen.Purpose Market Survey CFD Codes (most referenced)

SC-GS/PI CERN - European Organization for Nuclear Research6 Heiss Dampf Nuclear Reactor at Karlsrhue –~50, fully instrumented oil, propane, cables fire tests in the dismantled reactor vessel (20m large, 50 m high) –FDS2 was back-validated against these data at Maryland University Memorial Tunnel Fire Test in US –~100 fully instrumented oil fire and ventilation tests –FDS2 was back-validated against these data at CERN Validation Validation effort at CERN and elsewhere on FDS2 Large scale test, well representative of large experiment halls Long tunnel test, well representative of Accelerator Tunnels

SC-GS/PI CERN - European Organization for Nuclear Research7 FDS2 Validation Heiss-Dampf Reaktor Karlsruhe Gasoil 2-4 MW fire (Test T52) Propane 1 MW fire (Test T51)

SC-GS/PI CERN - European Organization for Nuclear Research8 HDR Propane TEST T51 Data comparison FIRE room ceiling level layer Doorway ceiling level layer FIRE room floor level layer ~5% ~11% ~100% ~15% Doorway temperature profile

SC-GS/PI CERN - European Organization for Nuclear Research9 HDR TEST T52 OIL 2 MW Data comparison Doorway velocity Doorway temperature Fire room temperature ~12% ~27% ~14% ~45% O 2 ~ 8% Upper Hatch temperature More on the geometry

SC-GS/PI CERN - European Organization for Nuclear Research10 FDS2 MEMORIAL TUNNEL FIRE TEST VALIDATION The Memorial tunnel test program has provided a huge amount of raw data on road tunnel fire 8m high 8m large 850m long Flight view inside tunnel Tests

SC-GS/PI CERN - European Organization for Nuclear Research11 CASE T501: 20 MW Natural Ventilation – (Temperature) 16’ from ignition TEMPERATURES ~ F = C OBSERVED : FDS2 RESULT ~ F = C

SC-GS/PI CERN - European Organization for Nuclear Research12 Validation Overall Judgment different situations The average results of the FDS2 in different situations(*) is as follows : –Long term quasi steady Gas temperatures 20-30% of the  Terrors of the order of 20-30% of the  T –Gas Concentration errors, of ~ 1 order of magnitudelarge errors, of ~ 1 order of magnitude –Velocity of transients, like smoke layers descent and movement errors of the order of %.errors of the order of %. different situations (*) different situations: small room-small fire, small room-big fire, high bay-small fire, high bay-big fire, tunnel fire, pre-flashover, post-flashover, poor ventilation, rich ventilation, etc……!!!!!!

SC-GS/PI CERN - European Organization for Nuclear Research13 Evacuation Simulation M. Survey Evacuation simulation codes: Simulex (I.E.S. International) –License 2500€/yr Exodus 3D Greenwich University (Fire Safety Group) –License 5000 €/yr

SC-GS/PI CERN - European Organization for Nuclear Research14 What we have to assess on fires : (continued) ‘…The construction works must be designed and built in such a way that in the event of an outbreak of fire:.. –…(d) occupants can leave the construction works or be rescued –…(e) the safety of rescue teams is taken into consideration Ship muster point video Will occupants leave the structure before the smoke/fire produces untenable conditions?

SC-GS/PI CERN - European Organization for Nuclear Research15 Exodus Validation References The Validation of Evacuation Models. Authors: E Galea. CMS Press, Paper No. 97/IM/22, ISBN , 1997 The EXODUS Evacuation Model Applied to Building Evacuation Scenarios. Authors: M Owen, E Galea, P Lawrence. Journal of Fire Protection Engineering 1996, Vol.8(2), pp The Collection and Analysis of Pre-Evacuation Times from Evacuation Trials and their Application to Evacuation Modelling”. Gwynne S, Galea E.R., Parke J, Hickson J. Fire Technology, Kluwer Associates, US, pp , vol 39, number 2, 2003.

SC-GS/PI CERN - European Organization for Nuclear Research16 APPLICATIONS AT CERN

SC-GS/PI CERN - European Organization for Nuclear Research17 The fire Parabolic ramping fire power 0 -> 5MW then steadyParabolic ramping fire power 0 -> 5MW then steady Two different growth rates ( 5 MW in 700s, 1500s)Two different growth rates ( 5 MW in 700s, 1500s) Located in 3 different position (bottom, top, side)Located in 3 different position (bottom, top, side) 6 different runs per each experimental cavern6 different runs per each experimental cavern

SC-GS/PI CERN - European Organization for Nuclear Research18 ATLAS

SC-GS/PI CERN - European Organization for Nuclear Research19 Atlas Fires Locations Under Detector Top of Detector In front of one exit

SC-GS/PI CERN - European Organization for Nuclear Research20 ATLAS Videos ATLAS THE CONSTRUCTION OF THE MODEL2.avi ATLASLARGE.avi

SC-GS/PI CERN - European Organization for Nuclear Research21 ATLAS Slices (Fire under det. 5Mw 300s) t=100 s t=150 s Smoke fills upper level t=200 s Smoke starts to descend on upper gangways t= s Smoke at level of upper exits

SC-GS/PI CERN - European Organization for Nuclear Research22 CMS

SC-GS/PI CERN - European Organization for Nuclear Research23 Smoke development and transport within the cavern CMS model showcase CMS Fire Under Detector 5 MW

SC-GS/PI CERN - European Organization for Nuclear Research24 Smoke layer position on the xz plane of the cavern t=3’ t=6’t=7’ t=5’ 3 rd level gangway flooded by smoke 2 rd level gangway flooded by smoke 1 st level gangway flooded by smoke

SC-GS/PI CERN - European Organization for Nuclear Research25 Evacuation modelling 130 people in ATLAS Snapshot of the Atlas Evacuation Simulation Snapshots of the CMS Model 100 people in CMS

SC-GS/PI CERN - European Organization for Nuclear Research26 Results Overview ATLAS ATLAS: Smoke propagation to exit level gangways: 300s (medium propagation) to 480s (moderate propagation) Evacuation Time: [120s for discovery] + 90to160s= 210s to 280s Evacuation Validated

SC-GS/PI CERN - European Organization for Nuclear Research27 Results Overview CMS ATLAS: Smoke propagation to exit level gangways: 250s (medium propagation) to 360s (moderate propagation) Evacuation Time: [120s for discovery] +85 to 110s= 205 to 230s Evacuation Validated

SC-GS/PI CERN - European Organization for Nuclear Research28 Conclusions CFD and evacuation simulation tools allowed simulation and reasoned validation of complex and non standard geometries The findings show that the gap between evacuation and smoke propagation is not high Several measures have to be in place in order to minimize delays and difficulties in case of emergency …(but this is by itself a different and huge subject)