Optimization of Facility Layout of Tank farms using Genetic Algorithm and Fireball Scenario
-
S.R. Nabavi
,
A.H. Taghipour
Abstract
In this study a novel approach is presented to optimize the layout of petrochemical units, considering the most likely scenario. To illustrate the method a real case study, exporting petrochemical tank farm (Esfahan petrochemical, Iran), was selected. Three objective functions like, piping cost, occupied land cost and human losses were combined and the total cost function was minimized. The required data for lethality function were obtained using simulation of different scenario by Phast software. A sigmoid function was fitted to the data which can estimate the lethality based on the distance from incident point. Genetic algorithm (GA) was used to minimize the total cost function. Due to vastness of searching area, more than one optimum layout was obtained. Finally, the optimum layouts were simulated with fire ball scenario and a good agreement was obtained between optimum points and simulated data.
Nomenclature
- a
Correlated parameter
- b
Correlated parameter
blood money
human injury cost
piping cost
land cost
a constraint between each two risky units
a constraint between each two residential buildings
distance of ith residential building from incident center
length of land
y-coordinate of ith facility
lower limit for y-coordinate of each facility to prevent locating outside the land region
y-coordinate of jth facility
y-coordinate of a risky facility
y-coordinate of a residential building
lower limit for x-coordinate of each facility to prevent locating outside the land region
probability of death for ith residential building caused by jth tank
piping length between ith tank and L/U shelter
population of ith housing unit
land cost per square length
upper limit for y-coordinate of each facility to prevent locating outside the land region
upper limit for x-coordinate of each facility to prevent locating outside the land region
piping cost per meter
width of land
x-coordinate of ith facility
x-coordinate of jth facility
x-coordinate of a residential building
x-coordinate of a risky facility
Correlated parameter
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©2016 by De Gruyter
Artikel in diesem Heft
- Frontmatter
- Review
- Modeling and Simulation Environments for Sustainable Low-Carbon Energy Production – A Review
- Research Articles
- Thermodynamic Modeling of Propane Reforming Processes to Quantify Hydrogen and Syngas Production with and without Product Removal
- Estimation of Kinetic Parameters by a Hybrid Algorithm of Nonlinear Model Based Differential Evolution for Lactic Acid Production
- Optimization of Facility Layout of Tank farms using Genetic Algorithm and Fireball Scenario
- Research on the Pneumatic Conveying of the Sand in the Horizontal Pipe Based on FLUENT
- A Statistical Comparison of Mathematical Models for Heavy Metal Leaching Phenomena from Solidified Landfill Waste Mortar
Artikel in diesem Heft
- Frontmatter
- Review
- Modeling and Simulation Environments for Sustainable Low-Carbon Energy Production – A Review
- Research Articles
- Thermodynamic Modeling of Propane Reforming Processes to Quantify Hydrogen and Syngas Production with and without Product Removal
- Estimation of Kinetic Parameters by a Hybrid Algorithm of Nonlinear Model Based Differential Evolution for Lactic Acid Production
- Optimization of Facility Layout of Tank farms using Genetic Algorithm and Fireball Scenario
- Research on the Pneumatic Conveying of the Sand in the Horizontal Pipe Based on FLUENT
- A Statistical Comparison of Mathematical Models for Heavy Metal Leaching Phenomena from Solidified Landfill Waste Mortar
