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Table 5 Optimal solutions under two CO 2 emission scenarios

From: An interval mixed-integer non-linear programming model to support regional electric power systems planning with CO2 capture and storage under uncertainty

  Facility High emission scenario Low emission scenario
t = 1 t = 2 t = 3 t = 1 t = 2 t = 3
IM t (PJ)   [68.47, 68.47] [39.85, 39.85] [40.18, 40.18] [74.40, 74.40] [103.50, 103.50] [133.00, 133.00]
X it (PJ) i = 1 [495.00, 507.66] [636.50, 636.50] [650.00, 657.68] [434.78, 471.05] [353.26, 353.26] [312.50, 329.18]
i = 2 [200.00, 220.00] [212.50, 212.50] [315.00, 315.00] [229.32, 252.25] [280.50, 280.50] [309.68, 309.68]
i = 3 [73.50, 83.87] [67.60, 80.65] [58.80, 69.35] [47.50, 47.50] [219.24, 219.24] [290.89, 290.89]
i = 4 [89.00, 115.20] [187.50, 223.70] [216.00, 263.50] [140.00, 150.00] [187.50, 236.70] [216.00, 263.50]
i = 5 [4.00, 4.80] [6.00, 6.80] [50.00, 54.29] [4.00, 4.80] [6.00, 6.80] [67.94, 73.76]
Y it (GW) i = 1 [0.00, 0.00] [1.20, 1.20] [1.00, 1.00] [0.00, 0.00] [0.00, 0.00] [0.00, 0.00]
i = 2 [0.00, 0.00] [0.00, 0.00] [1.00, 1.00] [0.37, 0.37] [0.80, 0.80] [0.94, 0.94]
i = 3 [0.27, 0.34] [0.18, 0.25] [0.06, 0.13] [0.00, 0.00] [1.69, 1.69] [2.27, 2.27]
i = 4 [0.78, 1.04] [2.00, 2.30] [2.20, 2.60] [1.50, 1.50] [2.00, 2.46] [2.20, 2.60]
i = 5 [0.00, 0.00] [0.00, 0.00] [1.23, 1.23] [0.00, 0.00] [0.00, 0.00] [1.74, 1.74]
f ($106)   [53714.63, 69399.39] [65326.26, 81953.30]