Fuel Costs Minimization on a Steel Billet Reheating Furnace Using Genetic Algorithms

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Charge temperature </td><td class="align_center">Scenario I</td><td class="align_center">Scenario II</td><td class="align_center">Scenario III</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">50</td><td class="align_center">9.24</td><td class="align_center">7.54</td><td class="align_center">—</td></tr><tr><td class="align_left">250</td><td class="align_center">4.47</td><td class="align_center">2.84</td><td class="align_center">—</td></tr><tr><td class="align_left">450</td><td class="align_center">3.24</td><td class="align_center">2.72</td><td class="align_center">12.28</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Normalized optimal values (US$/t) due to the charge temperature (°C) considering scenarios I, II, and III.

Modelling and Simulation in Engineering

tab5

Table 5

Table 5: Fuel Costs Minimization on a Steel Billet Reheating Furnace Using Genetic Algorithms 