an approach for risk reduction (methodology) based on...
TRANSCRIPT
MKOPSC Symposium
QRA
CFD
OPT
An approach for risk reduction (methodology) based on optimizing
the facility layout and siting in fire and explosion scenarios
1
Dedy Ng,
Seungho Jung, Christian Diaz Ovalle, Richart Roman Vazquez,
M. Sam Mannan
Contents
2
Introduction Overview Motivation Research objectives
Flowchart of the Proposed Methodology Overall theme (QRA – Optimization - CFD)
Case study with Hexane distillation plant Description for case study 1st approach 2nd approach 3rd approach Evaluations with RealityLINx and FLACS
Conclusion & Future work
Overview
E-1 E-2
E-3
E-4
E-5 E-6
E-7
P-4
Process Design
Equipment Layout
+ Piping Route
Facility Layout
3
MotivationBP Texas city (2005)
TrailersPasadena (1989)
Control room
Bhopal (1984)
Affecting nearby
residential area
San Juanico disaster (1984)
Residential area
Domino effect
Separation Distance
Hazardous point vs. Occupied buildings
Residential Area
Between hazardous facilities
4www.abc.net.au/news/photos/2007/10/26/2070854.htm http://www.acusafe.com/Incidents/PasadentTexas1989/incident-pasadenatexas1989.html www.ens-newswire.com/.2004-11-30-10.asp upload.wikimedia.org/.../250px-Gaskessel_gr.jpg http://www.bbc.co.uk/threecounties/read_this/2006/12/review_of_the_year_2006.shtml (Victor Carreto reproduced)
Buncefield (2005)
Storages
Literature review
Research Objectives
Combine economic concept and safety concept
Facility layout optimization using QRA
Aim for realistic prediction! – Consider obstacle effects
– Adopt real scenarios in the model formulation
Develop a layout optimization model
Help in a decision-making for safer siting & layout
Optimization (MINLP)
GAMS
5
Methodology for 3 different approaches
FLACS-CFD code
6
Optimization
Interconnection cost
Land cost
Risk cost
Separation constraints
Layout resultsFLACS
Overpressure evaluation
QRA
Release frequency
Event tree analysis
Consequence analysis
Facility (equipment) type
Optimization
Interconnection cost
Land cost
Separation constraints
Optimization
Interconnection cost
Land cost
Risk cost
QRA
Release frequency
Event tree analysis
Consequence analysis
(1) Distance-based approach
(2) Overpressure estimation approach
(3) Integrated method based on recommended separation distance and overpressure
http://www.gexcon.co.uk/products_explo.html
Separation distance from boundary
Case Study – C6 distillation column
Description- A distillation column is used to
separate hexane and heptane
Incident outcome
Release frequency
(yr-1)
Incident outcome
probability
Incident outcomefrequency
(yr-1)
BLEVE 2.3 X 10-5 0.25 5.7 X 10-6
VCE 2.3 X 10-5 0.34 7.8 X 10-6
Flash fire 2.3 X 10-5 0.34 7.8 X 10-6
Incident outcome probability via ETA
7
AICHE/CCPS (2007) Guidelines for chemical process quantitative risk analysis
Case study – Hexane distillation plant
8
i Type Length (m-m) Boundary (m) Facility cost, FCi ($)
1 Control room (non-pressurized) 10-10 30 1,000,000
2 Administrative building 20-15 8 300,000
3 Warehouse 5-10 8 200,000
4 High pressure storage sphere 10-10 30 150,000
5 Atmospheric liquid storage tank 1 4-4 30 100,000
6 Atmospheric liquid storage tank 2 4-4 30 100,000
7 Cooling tower 20-10 30 500,000
8 Process unit 30-40 30 .
Facility I Unit interconnection cost, UICi,j ($ / m)
Re
com
me
nd
ed
se
par
atio
n
dis
tan
ce b
etw
ee
n f
acili
tie
s , D
i,j(
m) 1 0.1 0.1 10 10 10 10 10
5 2 0.1 0 0 0 0 0
5 5 3 0.1 0.1 0.1 0.1 0.1
30 60 60 4 0.1 0.1 100 0
60 60 60 10 5 0.1 100 0
60 60 60 10 4 6 100 0
30 30 30 30 30 30 7 100
30 60 60 15 5 5 30 8
1st Approach (Distance based) - formulations
Min( Land cost + ∑Interconnection costi,j )
Land cost = UL X Max(xi + 0.5 Lxi) X Max(yi + 0.5 Lyi)
Interconnection costi,j = UICi,j X di,j
di,j2 = (xi - xj)
2 + (yi - yj)2
Objective function
Constraints
"𝐿𝑒𝑓𝑡"
𝑥𝑗 ≤ 𝑥𝑖 − 𝐷𝑖 ,𝑗𝑁𝑂,𝑥 ⋁
"𝑅𝑖𝑔𝑡"
𝑥𝑗 ≥ 𝑥𝑖 + 𝐷𝑖 ,𝑗𝑁𝑂 ,𝑥 ⋁
"𝐴𝑏𝑜𝑣𝑒", "𝐷𝑜𝑤𝑛"
𝑥𝑗 ≥ 𝑥𝑖 − 𝐷𝑖 ,𝑗𝑁𝑂 ,𝑥
𝑥𝑗 ≤ 𝑥𝑖 + 𝐷𝑖 ,𝑗𝑁𝑂 ,𝑥
"𝐴𝑏𝑜𝑣𝑒"
𝑦𝑗 ≥ 𝑦𝑖 + 𝐷𝑖 ,𝑗𝑁𝑂 ,𝑦 ⋁
"𝐷𝑜𝑤𝑛"
𝑥𝑗 ≤ 𝑦𝑖 − 𝐷𝑖 ,𝑗𝑁𝑂 ,𝑦
9
𝐷𝑖 ,𝑗𝑁𝑂 ,𝑥 =
𝐿𝑥𝑖+𝐿𝑦𝑗
2+ 𝐷𝑖,𝑗 𝐷𝑖 ,𝑗
𝑁𝑂 ,𝑦=
𝐿𝑦𝑖 + 𝐿𝑦𝑗
2+ 𝐷𝑖,𝑗 where,
Non-overlapping constraints
Facility kFacility s
Region Left
Region Right
Region Above
Region Down
min,
,
min,
,min, min,
, ,
min, min,
, ,
" "," "
" " " "
" " " "
x
s k s k
x
s k s kx x
s k s k s k s k
y y
s k s k s k s k
A D
x x DL R
x x Dx x D x x D
A D
y y D y y D
10
Disjunctions
Plant unit
Cooling
tower
At
1
At
2
HP
M.
B. Administrative
Building
Control
Room
Plant unit
Cooling
tower
At
1
At
2
HP
W.
H. Administrative
Building
Control
Room
x (m)
(85,123)
50 100
50
10
0
1st Approach – Distance based
11
2nd Approach (Overpressure based) consequence modeling
BLEVE VCE
Probability of Structure Damage
)ln(92.28.23Pr op
12
)}(exp{1 0
b
xx
ay
Sigmoid equation
a b x0
BLEVE 1.00 -8.01 64.69
VCE 1.01 -64.88 513.22
x (m)
y (
m)
(60,100)
Plant unit
Cooling
Tower
At
1
At
2
HP
W.
H.
Administrative
Building
Control
Room
50 100
50
10
02nd Approach – Overpressure based
13
Min (Land cost + ∑Interconnection costi,j + ∑PSDCi )
Potential Structure Damage Cost of i-th facility (PSDCi) =
Plant lifetime X Incident outcome frequency
X % of structural damage X Fci
Constraint: 5 meters separation between all facilities
Separation distance from the property boundary
3rd Approach – integrated with W.F. - formulations
14
Min (Land cost + ∑Interconnection costi,j + ∑PSDCWi )
Potential Structure Damage Cost of i-th facility (PSDCWi) with Weighting Factor
PSDCWi = Plant lifetime X Incident outcome frequency X % of structural damage X FCi X WFi
Objective function
i Type Population Weighting Factor, WFi
1 Control room (non-pressurized) 10 100
2 Administrative building 15 150
3 Warehouse 2.5 25
4 High pressure storage sphere 0 20
5 Atmospheric liquid storage tank 1 0 10
6 Atmospheric liquid storage tank 2 0 10
7 Cooling tower 0 1
i Type Probit function Explosion a b x0
1General
Building-23.8+2.92ln(p0)
BLEVE 1.000 -8.009 64.694
2VCE 1.006 -64.89 513.22
3
4Pressurized
vessel-42.44+4.33ln(p0)
BLEVE 1.005 -2.558 33.838
VCE 1.014 -23.22 208.78
5Atmospheric
Vessel-18.96+2.44ln(p0)
BLEVE 1.019 -10.05 66.186
6VCE 1.002 -74.53 524.12
7
3rd Approach – Probit functions
(Salzano, 2006)
15
)}(exp{1 0
b
xx
ay
3rd Approach – integrated with W.F.
16
x (m)
y (
m)
(60,100)
Plant unit
Cooling
Tower
At
1
At
2
HP
W.
H.
Administrative
Building
Control
Room
50 100
50
10
0
2. Overpressure estimation approach
x (m)
y (
m)
(85,124)
Plant unit
Cooling
Tower
At
1
At
2
HP
W.
H.
Administrative
Building
Control
Room
50 100
50
10
0
3. Integrated approach
Plant unit
Cooling
tower
At
1
At
2
HP
M.
B. Administrative
Building
Control
Room
Plant unit
Cooling
tower
At
1
At
2
HP
W.
H. Administrative
Building
Control
Room
x (m)
(85,123)
50 100
50
10
0
1. Distance-based approach
Evaluation - Asset Visualization Solution -FLACS
17
Facility #, i
Overpressure of the 1st layout result (barg)
Overpressure of the 2nd layout result (barg)
Overpressure of the 3rd layout result (barg)
Control rm 0.130 0.185 0.113Admin bld 0.092 0.131 0.089
Warehouse 0.086 0.116 0.091High press. sphere 0.218 0.241 0.215
Atm tank 1 0.233 0.207 0.226Atm tank 2 0.254 0.225 0.269
Cooling tower 0.170 0.355 0.170
Use RealityLINx 5.3 (INOVx Inc.) to obtain real geometry of the process plant
Summary Comparing three different approaches to choose the best layout
Evaluating layouts with RealityLINX and FLACS
S. Jung et. al. A New approach to Optimizing the Facility Siting and Layout for Fire and Explosion Scenarios,
I&EC Research, submitted
Conclusion
18
Compare with Grid-based plane approach
Propylene plant case study
Developing solver options
Comparing three different approaches to choose the best layout
Case study for Hexane-Heptane separation plant was demonstrated to obtain the optimal layout of 7 facilities around the process unit using MINLP
Evaluating layouts with RealiLINX and FLACS
Future work
Dr. M. Sam Mannan
Dr. Richart Vazquez
Christian Diaz Ovalle
All members of MKOPSC
Acknowledgements
Thank you!