Influence of the Inherent Safety Principles on Quantitative Risk in Process Industry: Application of Genetic Algorithm Process Optimization (GAPO)

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Constrains</td><td class="align_center">Base case</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">C1 recovery % (from demethanizer (T-2211)) &gt; 80</td><td class="align_center">82</td></tr><tr><td class="align_left">Minimum approach temperature of 10-E-2211 A-F &gt; 4.1°C</td><td class="align_center">4.3</td></tr><tr><td class="align_left">Minimum approach temperature of 10-E-2212 A-F &gt; 0.54°C</td><td class="align_center">0.54</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Constraints of genetic algorithm.</div>

Mathematical Problems in Engineering

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Table 3

Table 3: Influence of the Inherent Safety Principles on Quantitative Risk in Process Industry: Application of Genetic Algorithm Process Optimization (GAPO) 

Table 3 | Influence of the Inherent Safety Principles on Quantitative Risk in Process Industry: Application of Genetic Algorithm Process Optimization (GAPO) 