Enclosure Fire Dynamics Chapter 1: Introduction Chapter 2: Qualitative description of enclosure fires Chapter 3: Energy release rates, Design fires Chapter 4: Plumes and flames Chapter 5: Pressure and vent flows Chapter 6: Gas temperatures (Chapter 7: Heat transfer) Chapter 8: Smoke filling (Chapter 9: Products of combustion) Chapter 10: Computer modeling Each course unit represents breaking down the problem into individual pieces
Goals and expectations Account for MLR and HRR including time dependance. Get a feel for the size of HRR Account for different test metods, weaknesses, strenghts and results Account for the t-squared fire and its limitations Account for enclosure effects on the HRR Be able to produce a HRR-time curve
Your challenge… There are an infinite number of fire scenarios possible for a building What are some for this room? When evaluating fire safety, a limited (small) number of fire scenarios can actually be reviewed and tested Fire safety requires the selection of the most severe fires With natural fires, we do not know the fuel in advance => assumed design fire
Fuel packages
Fire scenarios Evaluating fire development in a building requires that a number of fire scenarios be developed These include a prediction of heat release, but also involve Location, ventilation Suppression, structural fire protection For example: 5 MW fire in the base of the atrium with ventilation system turned off and sprinklers at the top of the space
Heat release rate-definitions Heat (energy) release rate Energy released from mass burned J/s W kJ/s kW MJ/s MW A very good measure of the size of fire and potential for injury to people and buildings
Heat release rate (HRR) Time dependence for most fuels Both area and mass loss rate change with time Are these a function of only the fuel? Combustion efficiency The growth rate of fire (area) and mass loss rate are functions of the conditions inside the enclosure
It is important to gain a feeling for the size of typical fires Light bulb 60-100 W Wastebasket 50-100 kW Wood chair with foam seat 200–500 kW Upholstered chair 500 – 1500 kW Upholstered couch 1000 – 3000 kW 1 m2 pool of gasoline 2.5 MW 3m high stack of wood pallets 7 MW 2 m2 plastic commodity 4.9 m high 30-40 MW
Fire testing Measure how much oxygen is used while material burns For every kg O2 used 13.000 kJ of energy are formed Enormous amounts of data are available showing Heat Release Rate for very many materials Databases
Cone calorimeter Measure heat release and mass loss at different flux levels Almost constant 13kJ/g O2 consumed
Example heat release rate as a function of external flux
Furniture calorimeter Results represent burning in open Cone calorimeter data can be used to predict performance
HRR for furniture
HRR for mattress
HRR for workstation
HRR for Christmas trees
Room Calorimeter
Mass loss rate (MLR) from pool fires MLR = f(pool diameter & fuel) Values for each fuel from tables, Finally calculate HRR Limiting regression rate is the value found for pool fires generally > 1m in diameter where the MLR no longer increases as pool size increases. K=extinction absorption coefficient of the flame and is a function of the liquid Beta = mean beam length correction Do not need to know k and beta separately, thus only give the product in tables.
t2 Fire Growth Rates Q=t2
t2 Fire Growth Rates Q=t2
t2 Fire Growth Rates Heat release rate increases with time n is usually taken equal to 2 to=600 =0.003 kW/s2 (slow) to=300 =0.012 kW/s2 (medium) to=150 =0.047 kW/s2 (fast) to= 75 =0.190 kW/s2 (ultra fast) The times, to, are how long in seconds each fire growth rate takes to reach 1 MW
Use of t2 fires Simplification to a complicated problem Appear to match some test results Represents a constant flame spread velocity Increase in area of a circle with radius
Examples given in the literature: Ultra fast fire growth Upholstered furniture Stacked furniture Packing materials in rubbish pile Non-fire retarded foam plastics Boxes in vertical storage arrangement
Examples given in the literature: Fast fire growth Displays and padded work stations Bedding Hotels Schools, offices
Examples given in the literature: Medium fire growth Shop counters Office furniture Dwellings
Examples given in the literature: Slow fire growth Floor coverings Fire retardant mattress
Storage fire growth measurements with 10 MW calorimeter
Rack storage fires grow faster than t2
Creating a design fire Decide growth rate using knowledge of Type of building or occupancy (industry, discotek, school, office) => decide growth rate Or use knowledge combustible material (stack of pallets, mattreses, etc) Decide maximum Heat Relesase Rate (HRR) Use data or calculations or both Sprinkler? Then often use 5 MW
Complex HRR Curve
What design fire would you use in this space?
Any questions? Next unit: Plumes and flames