{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Extra – Steam Tables" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Saturated Steam table\n", "\n", "The table below is the saturated liquid and vapour water. The temperatures range from $0.01 ^{\\circ} C$ to $370.00 ^{\\circ} C$ at $5 ^{\\circ} C$ increments." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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Temperature (C)Pressure (MPa)Volume (l, m3/kg)Volume (v, m3/kg)Internal Energy (l, kJ/kg)Δ Internal Energy of Vapourization (kJ/kg)Internal Energy (v, kJ/kg)Enthalpy (l, kJ/kg)Δ Enthalpy of Vapourization (kJ/kg)Enthalpy (v, kJ/kg)Entropy (l, J/g*K)Δ Entropy of Vapourization (kJ/kg)Entropy (v, J/g*K)
00.010.0006120.001000205.9900000.0002374.9002374.90.0002500.9002500.90.0000009.1555009.1555
15.000.0008730.001000147.01000021.0192360.7812381.821.0202489.0802510.10.0762548.9485469.0248
210.000.0012280.001000106.30000042.0202346.5802388.642.0212477.1792519.20.1510908.7487108.8998
315.000.0017060.00100177.87500062.9802332.5202395.562.9812465.3192528.30.2244608.5558408.7803
420.000.0023390.00100257.75700083.9122318.3882402.383.9142453.4862537.40.2964808.3695208.6660
525.000.0031700.00100343.337000104.8302304.2702409.1104.8302441.6702546.50.3672208.1893808.5566
630.000.0042470.00100432.878000125.7302290.1702415.9125.7302429.7702555.50.4367508.0152508.4520
735.000.0056290.00100625.205000146.6302276.0702422.7146.6302417.8702564.50.5051307.8465708.3517
840.000.0073850.00100819.515000167.5302261.8702429.4167.5302405.9702573.50.5724007.6831008.2555
945.000.0095950.00101015.252000188.4302247.6702436.1188.4302393.9702582.40.6386107.5246908.1633
1050.000.0123520.00101212.027000209.3302233.3702442.7209.3402381.9602591.30.7038107.3709908.0748
1155.000.0157620.0010159.564300230.2402219.0602449.3230.2602369.8402600.10.7680207.2217807.9898
1260.000.0199460.0010177.667200251.1602204.7402455.9251.1802357.6202608.80.8312907.0768107.9081
1365.000.0250420.0010206.193500272.0902190.3102462.4272.1202345.3802617.50.8936506.9359507.8296
1470.000.0312010.0010235.039500293.0302175.8702468.9293.0702333.0302626.10.9551306.7988707.7540
1575.000.0385950.0010264.128900313.9902161.2102475.2314.0302320.5702634.61.0158006.6654007.6812
1680.000.0474140.0010293.405200334.9602146.6402481.6335.0102307.9902643.01.0756006.5355007.6111
1785.000.0578670.0010322.825800355.9502131.8502487.8356.0102295.2902651.31.1346006.4088007.5434
1890.000.0701820.0010362.359100376.9702117.0302494.0377.0402282.4602659.51.1929006.2852007.4781
1995.000.0846080.0010401.980600398.0002102.0002500.0398.0902269.5102667.61.2504006.1647007.4151
20100.000.1014200.0010431.671800419.0602086.9402506.0419.1702256.4302675.61.3072006.0469007.3541
21105.000.1209000.0010471.418400440.1502071.7502511.9440.2702243.1302683.41.3633005.9319007.2952
22110.000.1433800.0010521.209300461.2602056.4402517.7461.4202229.6802691.11.4188005.8193007.2381
23115.000.1691800.0010561.035800482.4102040.8902523.3482.5902216.0102698.61.4737005.7091007.1828
24120.000.1986700.0010600.891210503.6002025.3002528.9503.8102202.0902705.91.5279005.6012007.1291
25125.000.2322400.0010650.770030524.8302009.4702534.3525.0702188.0302713.11.5816005.4954007.0770
26130.000.2702800.0010700.668000546.0901993.4102539.5546.3802173.7202720.11.6346005.3918007.0264
27135.000.3132300.0010750.581730567.4101977.2902544.7567.7402159.1602726.91.6872005.2900006.9772
28140.000.3615400.0010800.508450588.7701960.8302549.6589.1602144.2402733.41.7392005.1901006.9293
29145.000.4156800.0010850.445960610.1901944.2102554.4610.6402129.1602739.81.7907005.0919006.8826
..........................................
45225.002.5497000.0011990.078403963.7401638.4602602.2966.8001835.3002802.12.5640003.6843006.2483
46230.002.7971000.0012090.071503986.8101616.0902602.9990.1901812.7102802.92.6101003.6027006.2128
47235.003.0625000.0012190.0652981010.0001593.2002603.21013.8001789.4002803.22.6561003.5214006.1775
48240.003.3469000.0012290.0597051033.4001569.7002603.11037.6001765.4002803.02.7020003.4403006.1423
49245.003.6512000.0012400.0546541057.0001545.7002602.71061.5001740.7002802.22.7478003.3594006.1072
50250.003.9762000.0012520.0500831080.8001521.0002601.81085.8001715.1002800.92.7935003.2786006.0721
51255.004.3229000.0012640.0459381104.8001495.7002600.51110.2001688.9002799.12.8392003.1977006.0369
52260.004.6923000.0012760.0421731129.0001469.7002598.71135.0001661.6002796.62.8849003.1167006.0016
53265.005.0853000.0012890.0387461153.4001443.1002596.51160.0001633.5002793.52.9307003.0354005.9661
54270.005.5030000.0013030.0356211178.1001415.6002593.71185.3001604.4002789.72.9765002.9539005.9304
55275.005.9464000.0013180.0327661203.1001387.2002590.31210.9001574.3002785.23.0224002.8720005.8944
56280.006.4166000.0013330.0301531228.3001358.1002586.41236.9001543.0002779.93.0685002.7894005.8579
57285.006.9147000.0013490.0277561253.9001327.9002581.81263.2001510.5002773.73.1147002.7062005.8209
58290.007.4418000.0013660.0255551279.9001296.6002576.51290.0001476.7002766.73.1612002.6222005.7834
59295.007.9991000.0013850.0235291306.2001264.3002570.51317.3001441.4002758.73.2080002.5371005.7451
60300.008.5879000.0014040.0216601332.9001230.7002563.61345.0001404.6002749.63.2552002.4507005.7059
61305.009.2094000.0014250.0199331360.2001195.7002555.91373.3001366.1002739.43.3028002.3629005.6657
62310.009.8651000.0014480.0183351387.9001159.2002547.11402.2001325.7002727.93.3510002.2734005.6244
63315.0010.5560000.0014720.0168511416.3001120.9002537.21431.8001283.3002715.13.3998002.1818005.5816
64320.0011.2840000.0014990.0154711445.3001080.7002526.01462.2001238.4002700.63.4494002.0878005.5372
65325.0012.0510000.0015280.0141831475.1001038.3002513.41493.5001190.8002684.33.5000001.9908005.4908
66330.0012.8580000.0015610.0129791505.800993.4002499.21525.9001140.1002666.03.5518001.8904005.4422
67335.0013.7070000.0015970.0118471537.600945.4002483.01559.5001085.9002645.43.6050001.7856005.3906
68340.0014.6010000.0016380.0107811570.600893.8002464.41594.5001027.3002621.83.6601001.6755005.3356
69345.0015.5410000.0016850.0097691605.300837.8002443.11631.500963.4002594.93.7176001.5586005.2762
70350.0016.5290000.0017400.0088021642.100776.0002418.11670.900892.7002563.63.7784001.4326005.2110
71355.0017.5700000.0018080.0078681682.000706.4002388.41713.700812.9002526.63.8439001.2941005.1380
72360.0018.6660000.0018950.0069491726.300625.5002351.81761.700719.8002481.53.9167001.1369005.0536
73365.0019.8210000.0020170.0060121777.800526.0002303.81817.800605.1002422.94.0014000.9483004.9497
74370.0021.0460000.0022160.0049521844.200385.9002230.11890.900443.4002334.34.1114000.6894004.8008
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75 rows × 13 columns

\n", "
" ], "text/plain": [ " Temperature (C) Pressure (MPa) Volume (l, m3/kg) Volume (v, m3/kg) \\\n", "0 0.01 0.000612 0.001000 205.990000 \n", "1 5.00 0.000873 0.001000 147.010000 \n", "2 10.00 0.001228 0.001000 106.300000 \n", "3 15.00 0.001706 0.001001 77.875000 \n", "4 20.00 0.002339 0.001002 57.757000 \n", "5 25.00 0.003170 0.001003 43.337000 \n", "6 30.00 0.004247 0.001004 32.878000 \n", "7 35.00 0.005629 0.001006 25.205000 \n", "8 40.00 0.007385 0.001008 19.515000 \n", "9 45.00 0.009595 0.001010 15.252000 \n", "10 50.00 0.012352 0.001012 12.027000 \n", "11 55.00 0.015762 0.001015 9.564300 \n", "12 60.00 0.019946 0.001017 7.667200 \n", "13 65.00 0.025042 0.001020 6.193500 \n", "14 70.00 0.031201 0.001023 5.039500 \n", "15 75.00 0.038595 0.001026 4.128900 \n", "16 80.00 0.047414 0.001029 3.405200 \n", "17 85.00 0.057867 0.001032 2.825800 \n", "18 90.00 0.070182 0.001036 2.359100 \n", "19 95.00 0.084608 0.001040 1.980600 \n", "20 100.00 0.101420 0.001043 1.671800 \n", "21 105.00 0.120900 0.001047 1.418400 \n", "22 110.00 0.143380 0.001052 1.209300 \n", "23 115.00 0.169180 0.001056 1.035800 \n", "24 120.00 0.198670 0.001060 0.891210 \n", "25 125.00 0.232240 0.001065 0.770030 \n", "26 130.00 0.270280 0.001070 0.668000 \n", "27 135.00 0.313230 0.001075 0.581730 \n", "28 140.00 0.361540 0.001080 0.508450 \n", "29 145.00 0.415680 0.001085 0.445960 \n", ".. ... ... ... ... \n", "45 225.00 2.549700 0.001199 0.078403 \n", "46 230.00 2.797100 0.001209 0.071503 \n", "47 235.00 3.062500 0.001219 0.065298 \n", "48 240.00 3.346900 0.001229 0.059705 \n", "49 245.00 3.651200 0.001240 0.054654 \n", "50 250.00 3.976200 0.001252 0.050083 \n", "51 255.00 4.322900 0.001264 0.045938 \n", "52 260.00 4.692300 0.001276 0.042173 \n", "53 265.00 5.085300 0.001289 0.038746 \n", "54 270.00 5.503000 0.001303 0.035621 \n", "55 275.00 5.946400 0.001318 0.032766 \n", "56 280.00 6.416600 0.001333 0.030153 \n", "57 285.00 6.914700 0.001349 0.027756 \n", "58 290.00 7.441800 0.001366 0.025555 \n", "59 295.00 7.999100 0.001385 0.023529 \n", "60 300.00 8.587900 0.001404 0.021660 \n", "61 305.00 9.209400 0.001425 0.019933 \n", "62 310.00 9.865100 0.001448 0.018335 \n", "63 315.00 10.556000 0.001472 0.016851 \n", "64 320.00 11.284000 0.001499 0.015471 \n", "65 325.00 12.051000 0.001528 0.014183 \n", "66 330.00 12.858000 0.001561 0.012979 \n", "67 335.00 13.707000 0.001597 0.011847 \n", "68 340.00 14.601000 0.001638 0.010781 \n", "69 345.00 15.541000 0.001685 0.009769 \n", "70 350.00 16.529000 0.001740 0.008802 \n", "71 355.00 17.570000 0.001808 0.007868 \n", "72 360.00 18.666000 0.001895 0.006949 \n", "73 365.00 19.821000 0.002017 0.006012 \n", "74 370.00 21.046000 0.002216 0.004952 \n", "\n", " Internal Energy (l, kJ/kg) Δ Internal Energy of Vapourization (kJ/kg) \\\n", "0 0.000 2374.900 \n", "1 21.019 2360.781 \n", "2 42.020 2346.580 \n", "3 62.980 2332.520 \n", "4 83.912 2318.388 \n", "5 104.830 2304.270 \n", "6 125.730 2290.170 \n", "7 146.630 2276.070 \n", "8 167.530 2261.870 \n", "9 188.430 2247.670 \n", "10 209.330 2233.370 \n", "11 230.240 2219.060 \n", "12 251.160 2204.740 \n", "13 272.090 2190.310 \n", "14 293.030 2175.870 \n", "15 313.990 2161.210 \n", "16 334.960 2146.640 \n", "17 355.950 2131.850 \n", "18 376.970 2117.030 \n", "19 398.000 2102.000 \n", "20 419.060 2086.940 \n", "21 440.150 2071.750 \n", "22 461.260 2056.440 \n", "23 482.410 2040.890 \n", "24 503.600 2025.300 \n", "25 524.830 2009.470 \n", "26 546.090 1993.410 \n", "27 567.410 1977.290 \n", "28 588.770 1960.830 \n", "29 610.190 1944.210 \n", ".. ... ... \n", "45 963.740 1638.460 \n", "46 986.810 1616.090 \n", "47 1010.000 1593.200 \n", "48 1033.400 1569.700 \n", "49 1057.000 1545.700 \n", "50 1080.800 1521.000 \n", "51 1104.800 1495.700 \n", "52 1129.000 1469.700 \n", "53 1153.400 1443.100 \n", "54 1178.100 1415.600 \n", "55 1203.100 1387.200 \n", "56 1228.300 1358.100 \n", "57 1253.900 1327.900 \n", "58 1279.900 1296.600 \n", "59 1306.200 1264.300 \n", "60 1332.900 1230.700 \n", "61 1360.200 1195.700 \n", "62 1387.900 1159.200 \n", "63 1416.300 1120.900 \n", "64 1445.300 1080.700 \n", "65 1475.100 1038.300 \n", "66 1505.800 993.400 \n", "67 1537.600 945.400 \n", "68 1570.600 893.800 \n", "69 1605.300 837.800 \n", "70 1642.100 776.000 \n", "71 1682.000 706.400 \n", "72 1726.300 625.500 \n", "73 1777.800 526.000 \n", "74 1844.200 385.900 \n", "\n", " Internal Energy (v, kJ/kg) Enthalpy (l, kJ/kg) \\\n", "0 2374.9 0.000 \n", "1 2381.8 21.020 \n", "2 2388.6 42.021 \n", "3 2395.5 62.981 \n", "4 2402.3 83.914 \n", "5 2409.1 104.830 \n", "6 2415.9 125.730 \n", "7 2422.7 146.630 \n", "8 2429.4 167.530 \n", "9 2436.1 188.430 \n", "10 2442.7 209.340 \n", "11 2449.3 230.260 \n", "12 2455.9 251.180 \n", "13 2462.4 272.120 \n", "14 2468.9 293.070 \n", "15 2475.2 314.030 \n", "16 2481.6 335.010 \n", "17 2487.8 356.010 \n", "18 2494.0 377.040 \n", "19 2500.0 398.090 \n", "20 2506.0 419.170 \n", "21 2511.9 440.270 \n", "22 2517.7 461.420 \n", "23 2523.3 482.590 \n", "24 2528.9 503.810 \n", "25 2534.3 525.070 \n", "26 2539.5 546.380 \n", "27 2544.7 567.740 \n", "28 2549.6 589.160 \n", "29 2554.4 610.640 \n", ".. ... ... \n", "45 2602.2 966.800 \n", "46 2602.9 990.190 \n", "47 2603.2 1013.800 \n", "48 2603.1 1037.600 \n", "49 2602.7 1061.500 \n", "50 2601.8 1085.800 \n", "51 2600.5 1110.200 \n", "52 2598.7 1135.000 \n", "53 2596.5 1160.000 \n", "54 2593.7 1185.300 \n", "55 2590.3 1210.900 \n", "56 2586.4 1236.900 \n", "57 2581.8 1263.200 \n", "58 2576.5 1290.000 \n", "59 2570.5 1317.300 \n", "60 2563.6 1345.000 \n", "61 2555.9 1373.300 \n", "62 2547.1 1402.200 \n", "63 2537.2 1431.800 \n", "64 2526.0 1462.200 \n", "65 2513.4 1493.500 \n", "66 2499.2 1525.900 \n", "67 2483.0 1559.500 \n", "68 2464.4 1594.500 \n", "69 2443.1 1631.500 \n", "70 2418.1 1670.900 \n", "71 2388.4 1713.700 \n", "72 2351.8 1761.700 \n", "73 2303.8 1817.800 \n", "74 2230.1 1890.900 \n", "\n", " Δ Enthalpy of Vapourization (kJ/kg) Enthalpy (v, kJ/kg) \\\n", "0 2500.900 2500.9 \n", "1 2489.080 2510.1 \n", "2 2477.179 2519.2 \n", "3 2465.319 2528.3 \n", "4 2453.486 2537.4 \n", "5 2441.670 2546.5 \n", "6 2429.770 2555.5 \n", "7 2417.870 2564.5 \n", "8 2405.970 2573.5 \n", "9 2393.970 2582.4 \n", "10 2381.960 2591.3 \n", "11 2369.840 2600.1 \n", "12 2357.620 2608.8 \n", "13 2345.380 2617.5 \n", "14 2333.030 2626.1 \n", "15 2320.570 2634.6 \n", "16 2307.990 2643.0 \n", "17 2295.290 2651.3 \n", "18 2282.460 2659.5 \n", "19 2269.510 2667.6 \n", "20 2256.430 2675.6 \n", "21 2243.130 2683.4 \n", "22 2229.680 2691.1 \n", "23 2216.010 2698.6 \n", "24 2202.090 2705.9 \n", "25 2188.030 2713.1 \n", "26 2173.720 2720.1 \n", "27 2159.160 2726.9 \n", "28 2144.240 2733.4 \n", "29 2129.160 2739.8 \n", ".. ... ... \n", "45 1835.300 2802.1 \n", "46 1812.710 2802.9 \n", "47 1789.400 2803.2 \n", "48 1765.400 2803.0 \n", "49 1740.700 2802.2 \n", "50 1715.100 2800.9 \n", "51 1688.900 2799.1 \n", "52 1661.600 2796.6 \n", "53 1633.500 2793.5 \n", "54 1604.400 2789.7 \n", "55 1574.300 2785.2 \n", "56 1543.000 2779.9 \n", "57 1510.500 2773.7 \n", "58 1476.700 2766.7 \n", "59 1441.400 2758.7 \n", "60 1404.600 2749.6 \n", "61 1366.100 2739.4 \n", "62 1325.700 2727.9 \n", "63 1283.300 2715.1 \n", "64 1238.400 2700.6 \n", "65 1190.800 2684.3 \n", "66 1140.100 2666.0 \n", "67 1085.900 2645.4 \n", "68 1027.300 2621.8 \n", "69 963.400 2594.9 \n", "70 892.700 2563.6 \n", "71 812.900 2526.6 \n", "72 719.800 2481.5 \n", "73 605.100 2422.9 \n", "74 443.400 2334.3 \n", "\n", " Entropy (l, J/g*K) Δ Entropy of Vapourization (kJ/kg) Entropy (v, J/g*K) \n", "0 0.000000 9.155500 9.1555 \n", "1 0.076254 8.948546 9.0248 \n", "2 0.151090 8.748710 8.8998 \n", "3 0.224460 8.555840 8.7803 \n", "4 0.296480 8.369520 8.6660 \n", "5 0.367220 8.189380 8.5566 \n", "6 0.436750 8.015250 8.4520 \n", "7 0.505130 7.846570 8.3517 \n", "8 0.572400 7.683100 8.2555 \n", "9 0.638610 7.524690 8.1633 \n", "10 0.703810 7.370990 8.0748 \n", "11 0.768020 7.221780 7.9898 \n", "12 0.831290 7.076810 7.9081 \n", "13 0.893650 6.935950 7.8296 \n", "14 0.955130 6.798870 7.7540 \n", "15 1.015800 6.665400 7.6812 \n", "16 1.075600 6.535500 7.6111 \n", "17 1.134600 6.408800 7.5434 \n", "18 1.192900 6.285200 7.4781 \n", "19 1.250400 6.164700 7.4151 \n", "20 1.307200 6.046900 7.3541 \n", "21 1.363300 5.931900 7.2952 \n", "22 1.418800 5.819300 7.2381 \n", "23 1.473700 5.709100 7.1828 \n", "24 1.527900 5.601200 7.1291 \n", "25 1.581600 5.495400 7.0770 \n", "26 1.634600 5.391800 7.0264 \n", "27 1.687200 5.290000 6.9772 \n", "28 1.739200 5.190100 6.9293 \n", "29 1.790700 5.091900 6.8826 \n", ".. ... ... ... \n", "45 2.564000 3.684300 6.2483 \n", "46 2.610100 3.602700 6.2128 \n", "47 2.656100 3.521400 6.1775 \n", "48 2.702000 3.440300 6.1423 \n", "49 2.747800 3.359400 6.1072 \n", "50 2.793500 3.278600 6.0721 \n", "51 2.839200 3.197700 6.0369 \n", "52 2.884900 3.116700 6.0016 \n", "53 2.930700 3.035400 5.9661 \n", "54 2.976500 2.953900 5.9304 \n", "55 3.022400 2.872000 5.8944 \n", "56 3.068500 2.789400 5.8579 \n", "57 3.114700 2.706200 5.8209 \n", "58 3.161200 2.622200 5.7834 \n", "59 3.208000 2.537100 5.7451 \n", "60 3.255200 2.450700 5.7059 \n", "61 3.302800 2.362900 5.6657 \n", "62 3.351000 2.273400 5.6244 \n", "63 3.399800 2.181800 5.5816 \n", "64 3.449400 2.087800 5.5372 \n", "65 3.500000 1.990800 5.4908 \n", "66 3.551800 1.890400 5.4422 \n", "67 3.605000 1.785600 5.3906 \n", "68 3.660100 1.675500 5.3356 \n", "69 3.717600 1.558600 5.2762 \n", "70 3.778400 1.432600 5.2110 \n", "71 3.843900 1.294100 5.1380 \n", "72 3.916700 1.136900 5.0536 \n", "73 4.001400 0.948300 4.9497 \n", "74 4.111400 0.689400 4.8008 \n", "\n", "[75 rows x 13 columns]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_excel('../figures/Module-4/SatTandPofSteam.xlsx', sheet_name='Sheet2', index_col=None, na_values=['NA'])\n", "df.head(75)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Super Heated Steam Table\n", "\n", "The following tables are Isobaric superheated steam tables ranging from 1 MPa to 10 Mpa with 1 Mpa increaments\n", "\n", "### 1 MPa" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Temperature (C)Pressure (MPa)Volume (m3/kg)Internal Energy (kJ/kg)Enthalpy (kJ/kg)Entropy (J/g*K)
0179.8810.194362582.72777.16.5850
1200.0010.206022622.22828.36.6955
2250.0010.232752710.42943.16.9265
3300.0010.257992793.63051.67.1246
4350.0010.282502875.73158.27.3029
5400.0010.306612957.93264.57.4669
6450.0010.330453040.93371.37.6200
7500.0010.354113125.03479.17.7641
8550.0010.377663210.53588.17.9008
9600.0010.401113297.53698.68.0310
10650.0010.424493386.03810.58.1557
11700.0010.447833476.23924.18.2755
12750.0010.471123568.14039.38.3909
13800.0010.494383661.74156.18.5024
14850.0010.517623757.04274.68.6103
15900.0010.540833853.94394.88.7150
16950.0010.564033952.54516.58.8166
171000.0010.587214052.74639.98.9155
\n", "
" ], "text/plain": [ " Temperature (C) Pressure (MPa) Volume (m3/kg) Internal Energy (kJ/kg) \\\n", "0 179.88 1 0.19436 2582.7 \n", "1 200.00 1 0.20602 2622.2 \n", "2 250.00 1 0.23275 2710.4 \n", "3 300.00 1 0.25799 2793.6 \n", "4 350.00 1 0.28250 2875.7 \n", "5 400.00 1 0.30661 2957.9 \n", "6 450.00 1 0.33045 3040.9 \n", "7 500.00 1 0.35411 3125.0 \n", "8 550.00 1 0.37766 3210.5 \n", "9 600.00 1 0.40111 3297.5 \n", "10 650.00 1 0.42449 3386.0 \n", "11 700.00 1 0.44783 3476.2 \n", "12 750.00 1 0.47112 3568.1 \n", "13 800.00 1 0.49438 3661.7 \n", "14 850.00 1 0.51762 3757.0 \n", "15 900.00 1 0.54083 3853.9 \n", "16 950.00 1 0.56403 3952.5 \n", "17 1000.00 1 0.58721 4052.7 \n", "\n", " Enthalpy (kJ/kg) Entropy (J/g*K) \n", "0 2777.1 6.5850 \n", "1 2828.3 6.6955 \n", "2 2943.1 6.9265 \n", "3 3051.6 7.1246 \n", "4 3158.2 7.3029 \n", "5 3264.5 7.4669 \n", "6 3371.3 7.6200 \n", "7 3479.1 7.7641 \n", "8 3588.1 7.9008 \n", "9 3698.6 8.0310 \n", "10 3810.5 8.1557 \n", "11 3924.1 8.2755 \n", "12 4039.3 8.3909 \n", "13 4156.1 8.5024 \n", "14 4274.6 8.6103 \n", "15 4394.8 8.7150 \n", "16 4516.5 8.8166 \n", "17 4639.9 8.9155 " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_excel('../figures/Module-4/Steam_1MPa.xlsx', sheet_name='Sheet2', index_col=None, na_values=['NA'])\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2 MPa" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Temperature (C)Pressure (MPa)Volume (m3/kg)Internal Energy (kJ/kg)Enthalpy (kJ/kg)Entropy (J/g*K)
0212.3820.0995852599.12798.36.3390
1250.0020.1115002680.22903.26.5475
2300.0020.1255102773.23024.26.7684
3350.0020.1386002860.53137.76.9583
4400.0020.1512102945.93248.37.1292
5450.0020.1635403031.13358.27.2866
6500.0020.1756803116.93468.27.4337
7550.0020.1877003203.63579.07.5725
8600.0020.1996103291.53690.77.7043
9650.0020.2114603380.83803.87.8302
10700.0020.2232603471.63918.27.9509
11750.0020.2350203564.04034.18.0670
12800.0020.2467403658.04151.58.1790
13850.0020.2584403753.64270.58.2874
14900.0020.2701203850.94391.18.3925
15950.0020.2817803949.84513.38.4945
161000.0020.2934204050.24637.08.5936
\n", "
" ], "text/plain": [ " Temperature (C) Pressure (MPa) Volume (m3/kg) Internal Energy (kJ/kg) \\\n", "0 212.38 2 0.099585 2599.1 \n", "1 250.00 2 0.111500 2680.2 \n", "2 300.00 2 0.125510 2773.2 \n", "3 350.00 2 0.138600 2860.5 \n", "4 400.00 2 0.151210 2945.9 \n", "5 450.00 2 0.163540 3031.1 \n", "6 500.00 2 0.175680 3116.9 \n", "7 550.00 2 0.187700 3203.6 \n", "8 600.00 2 0.199610 3291.5 \n", "9 650.00 2 0.211460 3380.8 \n", "10 700.00 2 0.223260 3471.6 \n", "11 750.00 2 0.235020 3564.0 \n", "12 800.00 2 0.246740 3658.0 \n", "13 850.00 2 0.258440 3753.6 \n", "14 900.00 2 0.270120 3850.9 \n", "15 950.00 2 0.281780 3949.8 \n", "16 1000.00 2 0.293420 4050.2 \n", "\n", " Enthalpy (kJ/kg) Entropy (J/g*K) \n", "0 2798.3 6.3390 \n", "1 2903.2 6.5475 \n", "2 3024.2 6.7684 \n", "3 3137.7 6.9583 \n", "4 3248.3 7.1292 \n", "5 3358.2 7.2866 \n", "6 3468.2 7.4337 \n", "7 3579.0 7.5725 \n", "8 3690.7 7.7043 \n", "9 3803.8 7.8302 \n", "10 3918.2 7.9509 \n", "11 4034.1 8.0670 \n", "12 4151.5 8.1790 \n", "13 4270.5 8.2874 \n", "14 4391.1 8.3925 \n", "15 4513.3 8.4945 \n", "16 4637.0 8.5936 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_excel('../figures/Module-4/Steam_2MPa.xlsx', sheet_name='Sheet2', index_col=None, na_values=['NA'])\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 3 MPa" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Temperature (C)Pressure (MPa)Volume (m3/kg)Internal Energy (kJ/kg)Enthalpy (kJ/kg)Entropy (J/g*K)
0233.8530.0666642603.22803.26.1856
1250.0030.0706272644.72856.56.2893
2300.0030.0811792750.82994.36.5412
3350.0030.0905562844.43116.16.7449
4400.0030.0993792933.53231.76.9234
5450.0030.1078903021.23344.87.0856
6500.0030.1162003108.63457.27.2359
7550.0030.1243703196.63569.77.3768
8600.0030.1324503285.53682.87.5103
9650.0030.1404503375.63796.97.6373
10700.0030.1484103467.03912.27.7590
11750.0030.1563203559.94028.97.8758
12800.0030.1642003654.34146.97.9885
13850.0030.1720503750.34266.58.0973
14900.0030.1798803847.94387.58.2028
15950.0030.1876903947.04510.18.3051
161000.0030.1954904047.74634.18.4045
\n", "
" ], "text/plain": [ " Temperature (C) Pressure (MPa) Volume (m3/kg) Internal Energy (kJ/kg) \\\n", "0 233.85 3 0.066664 2603.2 \n", "1 250.00 3 0.070627 2644.7 \n", "2 300.00 3 0.081179 2750.8 \n", "3 350.00 3 0.090556 2844.4 \n", "4 400.00 3 0.099379 2933.5 \n", "5 450.00 3 0.107890 3021.2 \n", "6 500.00 3 0.116200 3108.6 \n", "7 550.00 3 0.124370 3196.6 \n", "8 600.00 3 0.132450 3285.5 \n", "9 650.00 3 0.140450 3375.6 \n", "10 700.00 3 0.148410 3467.0 \n", "11 750.00 3 0.156320 3559.9 \n", "12 800.00 3 0.164200 3654.3 \n", "13 850.00 3 0.172050 3750.3 \n", "14 900.00 3 0.179880 3847.9 \n", "15 950.00 3 0.187690 3947.0 \n", "16 1000.00 3 0.195490 4047.7 \n", "\n", " Enthalpy (kJ/kg) Entropy (J/g*K) \n", "0 2803.2 6.1856 \n", "1 2856.5 6.2893 \n", "2 2994.3 6.5412 \n", "3 3116.1 6.7449 \n", "4 3231.7 6.9234 \n", "5 3344.8 7.0856 \n", "6 3457.2 7.2359 \n", "7 3569.7 7.3768 \n", "8 3682.8 7.5103 \n", "9 3796.9 7.6373 \n", "10 3912.2 7.7590 \n", "11 4028.9 7.8758 \n", "12 4146.9 7.9885 \n", "13 4266.5 8.0973 \n", "14 4387.5 8.2028 \n", "15 4510.1 8.3051 \n", "16 4634.1 8.4045 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_excel('../figures/Module-4/Steam_3MPa.xlsx', sheet_name='Sheet2', index_col=None, na_values=['NA'])\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 4 MPa" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Temperature (C)Pressure (MPa)Volume (m3/kg)Internal Energy (kJ/kg)Enthalpy (kJ/kg)Entropy (J/g*K)
0250.3540.0497762601.72800.86.0696
1300.0040.0588702726.22961.76.3639
2350.0040.0664732827.43093.36.5843
3400.0040.0734312920.73214.56.7714
4450.0040.0800433011.03331.26.9386
5500.0040.0864423100.33446.07.0922
6550.0040.0927003189.53560.37.2355
7600.0040.0988593279.43674.97.3705
8650.0040.1049403370.33790.17.4988
9700.0040.1109803462.43906.37.6214
10750.0040.1169703555.84023.67.7390
11800.0040.1229203650.64142.37.8523
12850.0040.1288503747.04262.47.9616
13900.0040.1347603844.84383.98.0674
14950.0040.1406503944.24506.88.1701
151000.0040.1465204045.14631.28.2697
\n", "
" ], "text/plain": [ " Temperature (C) Pressure (MPa) Volume (m3/kg) Internal Energy (kJ/kg) \\\n", "0 250.35 4 0.049776 2601.7 \n", "1 300.00 4 0.058870 2726.2 \n", "2 350.00 4 0.066473 2827.4 \n", "3 400.00 4 0.073431 2920.7 \n", "4 450.00 4 0.080043 3011.0 \n", "5 500.00 4 0.086442 3100.3 \n", "6 550.00 4 0.092700 3189.5 \n", "7 600.00 4 0.098859 3279.4 \n", "8 650.00 4 0.104940 3370.3 \n", "9 700.00 4 0.110980 3462.4 \n", "10 750.00 4 0.116970 3555.8 \n", "11 800.00 4 0.122920 3650.6 \n", "12 850.00 4 0.128850 3747.0 \n", "13 900.00 4 0.134760 3844.8 \n", "14 950.00 4 0.140650 3944.2 \n", "15 1000.00 4 0.146520 4045.1 \n", "\n", " Enthalpy (kJ/kg) Entropy (J/g*K) \n", "0 2800.8 6.0696 \n", "1 2961.7 6.3639 \n", "2 3093.3 6.5843 \n", "3 3214.5 6.7714 \n", "4 3331.2 6.9386 \n", "5 3446.0 7.0922 \n", "6 3560.3 7.2355 \n", "7 3674.9 7.3705 \n", "8 3790.1 7.4988 \n", "9 3906.3 7.6214 \n", "10 4023.6 7.7390 \n", "11 4142.3 7.8523 \n", "12 4262.4 7.9616 \n", "13 4383.9 8.0674 \n", "14 4506.8 8.1701 \n", "15 4631.2 8.2697 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_excel('../figures/Module-4/Steam_4MPa.xlsx', sheet_name='Sheet2', index_col=None, na_values=['NA'])\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 5 MPa" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Temperature (C)Pressure (MPa)Volume (m3/kg)Internal Energy (kJ/kg)Enthalpy (kJ/kg)Entropy (J/g*K)
0263.9450.0394462597.02794.25.9737
1300.0050.0453462699.02925.76.2110
2350.0050.0519692809.53069.36.4516
3400.0050.0578372907.53196.76.6483
4450.0050.0633233000.63317.26.8210
5500.0050.0685833091.73434.76.9781
6550.0050.0736943182.43550.97.1237
7600.0050.0787043273.33666.87.2605
8650.0050.0836393365.03783.27.3901
9700.0050.0885183457.73900.37.5136
10750.0050.0933553551.64018.47.6320
11800.0050.0981583646.94137.77.7458
12850.0050.1029303743.64258.37.8556
13900.0050.1076903841.84380.27.9618
14950.0050.1124203941.54503.68.0648
151000.0050.1171504042.64628.38.1648
\n", "
" ], "text/plain": [ " Temperature (C) Pressure (MPa) Volume (m3/kg) Internal Energy (kJ/kg) \\\n", "0 263.94 5 0.039446 2597.0 \n", "1 300.00 5 0.045346 2699.0 \n", "2 350.00 5 0.051969 2809.5 \n", "3 400.00 5 0.057837 2907.5 \n", "4 450.00 5 0.063323 3000.6 \n", "5 500.00 5 0.068583 3091.7 \n", "6 550.00 5 0.073694 3182.4 \n", "7 600.00 5 0.078704 3273.3 \n", "8 650.00 5 0.083639 3365.0 \n", "9 700.00 5 0.088518 3457.7 \n", "10 750.00 5 0.093355 3551.6 \n", "11 800.00 5 0.098158 3646.9 \n", "12 850.00 5 0.102930 3743.6 \n", "13 900.00 5 0.107690 3841.8 \n", "14 950.00 5 0.112420 3941.5 \n", "15 1000.00 5 0.117150 4042.6 \n", "\n", " Enthalpy (kJ/kg) Entropy (J/g*K) \n", "0 2794.2 5.9737 \n", "1 2925.7 6.2110 \n", "2 3069.3 6.4516 \n", "3 3196.7 6.6483 \n", "4 3317.2 6.8210 \n", "5 3434.7 6.9781 \n", "6 3550.9 7.1237 \n", "7 3666.8 7.2605 \n", "8 3783.2 7.3901 \n", "9 3900.3 7.5136 \n", "10 4018.4 7.6320 \n", "11 4137.7 7.7458 \n", "12 4258.3 7.8556 \n", "13 4380.2 7.9618 \n", "14 4503.6 8.0648 \n", "15 4628.3 8.1648 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_excel('../figures/Module-4/Steam_5MPa.xlsx', sheet_name='Sheet2', index_col=None, na_values=['NA'])\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 6 MPa" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Temperature (C)Pressure (MPa)Volume (m3/kg)Internal Energy (kJ/kg)Enthalpy (kJ/kg)Entropy (J/g*K)
0275.5860.0324482589.92784.65.8901
1300.0060.0361892668.42885.56.0703
2350.0060.0422512790.43043.96.3357
3400.0060.0474192893.73178.26.5432
4450.0060.0521662989.93302.96.7219
5500.0060.0566713083.13423.16.8826
6550.0060.0610213175.23541.37.0307
7600.0060.0652653267.23658.77.1693
8650.0060.0694343359.63776.27.3001
9700.0060.0735453453.03894.37.4246
10750.0060.0776143547.54013.27.5438
11800.0060.0816483643.24133.17.6582
12850.0060.0856553740.34254.27.7685
13900.0060.0896413838.84376.67.8751
14950.0060.0936083938.74500.37.9784
151000.0060.0975604040.14625.48.0786
\n", "
" ], "text/plain": [ " Temperature (C) Pressure (MPa) Volume (m3/kg) Internal Energy (kJ/kg) \\\n", "0 275.58 6 0.032448 2589.9 \n", "1 300.00 6 0.036189 2668.4 \n", "2 350.00 6 0.042251 2790.4 \n", "3 400.00 6 0.047419 2893.7 \n", "4 450.00 6 0.052166 2989.9 \n", "5 500.00 6 0.056671 3083.1 \n", "6 550.00 6 0.061021 3175.2 \n", "7 600.00 6 0.065265 3267.2 \n", "8 650.00 6 0.069434 3359.6 \n", "9 700.00 6 0.073545 3453.0 \n", "10 750.00 6 0.077614 3547.5 \n", "11 800.00 6 0.081648 3643.2 \n", "12 850.00 6 0.085655 3740.3 \n", "13 900.00 6 0.089641 3838.8 \n", "14 950.00 6 0.093608 3938.7 \n", "15 1000.00 6 0.097560 4040.1 \n", "\n", " Enthalpy (kJ/kg) Entropy (J/g*K) \n", "0 2784.6 5.8901 \n", "1 2885.5 6.0703 \n", "2 3043.9 6.3357 \n", "3 3178.2 6.5432 \n", "4 3302.9 6.7219 \n", "5 3423.1 6.8826 \n", "6 3541.3 7.0307 \n", "7 3658.7 7.1693 \n", "8 3776.2 7.3001 \n", "9 3894.3 7.4246 \n", "10 4013.2 7.5438 \n", "11 4133.1 7.6582 \n", "12 4254.2 7.7685 \n", "13 4376.6 7.8751 \n", "14 4500.3 7.9784 \n", "15 4625.4 8.0786 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_excel('../figures/Module-4/Steam_6MPa.xlsx', sheet_name='Sheet2', index_col=None, na_values=['NA'])\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 7 MPa" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Temperature (C)Pressure (MPa)Volume (m3/kg)Internal Energy (kJ/kg)Enthalpy (kJ/kg)Entropy (J/g*K)
0285.8370.0273782581.02772.65.8148
1300.0070.0294922633.52839.95.9337
2350.0070.0352622770.13016.96.2304
3400.0070.0399582879.53159.26.4502
4450.0070.0441872979.03288.36.6353
5500.0070.0481573074.33411.46.8000
6550.0070.0519663167.93531.66.9506
7600.0070.0556653260.93650.67.0910
8650.0070.0592863354.33769.37.2231
9700.0070.0628503448.33888.27.3486
10750.0070.0663703543.34007.97.4685
11800.0070.0698553639.54128.47.5836
12850.0070.0733143736.94250.17.6944
13900.0070.0767503835.74373.07.8014
14950.0070.0801683935.94497.17.9050
151000.0070.0835714037.54622.58.0055
\n", "
" ], "text/plain": [ " Temperature (C) Pressure (MPa) Volume (m3/kg) Internal Energy (kJ/kg) \\\n", "0 285.83 7 0.027378 2581.0 \n", "1 300.00 7 0.029492 2633.5 \n", "2 350.00 7 0.035262 2770.1 \n", "3 400.00 7 0.039958 2879.5 \n", "4 450.00 7 0.044187 2979.0 \n", "5 500.00 7 0.048157 3074.3 \n", "6 550.00 7 0.051966 3167.9 \n", "7 600.00 7 0.055665 3260.9 \n", "8 650.00 7 0.059286 3354.3 \n", "9 700.00 7 0.062850 3448.3 \n", "10 750.00 7 0.066370 3543.3 \n", "11 800.00 7 0.069855 3639.5 \n", "12 850.00 7 0.073314 3736.9 \n", "13 900.00 7 0.076750 3835.7 \n", "14 950.00 7 0.080168 3935.9 \n", "15 1000.00 7 0.083571 4037.5 \n", "\n", " Enthalpy (kJ/kg) Entropy (J/g*K) \n", "0 2772.6 5.8148 \n", "1 2839.9 5.9337 \n", "2 3016.9 6.2304 \n", "3 3159.2 6.4502 \n", "4 3288.3 6.6353 \n", "5 3411.4 6.8000 \n", "6 3531.6 6.9506 \n", "7 3650.6 7.0910 \n", "8 3769.3 7.2231 \n", "9 3888.2 7.3486 \n", "10 4007.9 7.4685 \n", "11 4128.4 7.5836 \n", "12 4250.1 7.6944 \n", "13 4373.0 7.8014 \n", "14 4497.1 7.9050 \n", "15 4622.5 8.0055 " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_excel('../figures/Module-4/Steam_7MPa.xlsx', sheet_name='Sheet2', index_col=None, na_values=['NA'])\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 8 MPa" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Temperature (C)Pressure (MPa)Volume (m3/kg)Internal Energy (kJ/kg)Enthalpy (kJ/kg)Entropy (J/g*K)
0295.0180.0235262570.52758.75.7450
1300.0080.0242792592.32786.55.7937
2350.0080.0299752748.32988.16.1321
3400.0080.0343442864.63139.46.3658
4450.0080.0381942967.83273.36.5579
5500.0080.0417673065.43399.56.7266
6550.0080.0451723160.53521.86.8799
7600.0080.0484633254.73642.47.0221
8650.0080.0516753348.93762.37.1556
9700.0080.0548283443.63882.27.2821
10750.0080.0579373539.14002.67.4028
11800.0080.0610113635.74123.87.5184
12850.0080.0640573733.54246.07.6297
13900.0080.0670823832.64369.37.7371
14950.0080.0700883933.14493.87.8411
151000.0080.0730794035.04619.67.9419
\n", "
" ], "text/plain": [ " Temperature (C) Pressure (MPa) Volume (m3/kg) Internal Energy (kJ/kg) \\\n", "0 295.01 8 0.023526 2570.5 \n", "1 300.00 8 0.024279 2592.3 \n", "2 350.00 8 0.029975 2748.3 \n", "3 400.00 8 0.034344 2864.6 \n", "4 450.00 8 0.038194 2967.8 \n", "5 500.00 8 0.041767 3065.4 \n", "6 550.00 8 0.045172 3160.5 \n", "7 600.00 8 0.048463 3254.7 \n", "8 650.00 8 0.051675 3348.9 \n", "9 700.00 8 0.054828 3443.6 \n", "10 750.00 8 0.057937 3539.1 \n", "11 800.00 8 0.061011 3635.7 \n", "12 850.00 8 0.064057 3733.5 \n", "13 900.00 8 0.067082 3832.6 \n", "14 950.00 8 0.070088 3933.1 \n", "15 1000.00 8 0.073079 4035.0 \n", "\n", " Enthalpy (kJ/kg) Entropy (J/g*K) \n", "0 2758.7 5.7450 \n", "1 2786.5 5.7937 \n", "2 2988.1 6.1321 \n", "3 3139.4 6.3658 \n", "4 3273.3 6.5579 \n", "5 3399.5 6.7266 \n", "6 3521.8 6.8799 \n", "7 3642.4 7.0221 \n", "8 3762.3 7.1556 \n", "9 3882.2 7.2821 \n", "10 4002.6 7.4028 \n", "11 4123.8 7.5184 \n", "12 4246.0 7.6297 \n", "13 4369.3 7.7371 \n", "14 4493.8 7.8411 \n", "15 4619.6 7.9419 " ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_excel('../figures/Module-4/Steam_8MPa.xlsx', sheet_name='Sheet2', index_col=None, na_values=['NA'])\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 9 MPa" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Temperature (C)Pressure (MPa)Volume (m3/kg)Internal Energy (kJ/kg)Enthalpy (kJ/kg)Entropy (J/g*K)
0303.3490.0204902558.52742.95.6791
1350.0090.0258162724.92957.36.0380
2400.0090.0299602849.23118.86.2876
3450.0090.0335242956.33258.06.4872
4500.0090.0367933056.33387.46.6603
5550.0090.0398853153.03512.06.8164
6600.0090.0428613248.43634.16.9605
7650.0090.0457553343.43755.27.0953
8700.0090.0485893438.83876.17.2229
9750.0090.0513783534.93997.37.3443
10800.0090.0541323632.04119.17.4606
11850.0090.0568583730.24241.97.5724
12900.0090.0595623829.64365.77.6802
13950.0090.0622483930.34490.67.7844
141000.0090.0649184032.44616.77.8855
\n", "
" ], "text/plain": [ " Temperature (C) Pressure (MPa) Volume (m3/kg) Internal Energy (kJ/kg) \\\n", "0 303.34 9 0.020490 2558.5 \n", "1 350.00 9 0.025816 2724.9 \n", "2 400.00 9 0.029960 2849.2 \n", "3 450.00 9 0.033524 2956.3 \n", "4 500.00 9 0.036793 3056.3 \n", "5 550.00 9 0.039885 3153.0 \n", "6 600.00 9 0.042861 3248.4 \n", "7 650.00 9 0.045755 3343.4 \n", "8 700.00 9 0.048589 3438.8 \n", "9 750.00 9 0.051378 3534.9 \n", "10 800.00 9 0.054132 3632.0 \n", "11 850.00 9 0.056858 3730.2 \n", "12 900.00 9 0.059562 3829.6 \n", "13 950.00 9 0.062248 3930.3 \n", "14 1000.00 9 0.064918 4032.4 \n", "\n", " Enthalpy (kJ/kg) Entropy (J/g*K) \n", "0 2742.9 5.6791 \n", "1 2957.3 6.0380 \n", "2 3118.8 6.2876 \n", "3 3258.0 6.4872 \n", "4 3387.4 6.6603 \n", "5 3512.0 6.8164 \n", "6 3634.1 6.9605 \n", "7 3755.2 7.0953 \n", "8 3876.1 7.2229 \n", "9 3997.3 7.3443 \n", "10 4119.1 7.4606 \n", "11 4241.9 7.5724 \n", "12 4365.7 7.6802 \n", "13 4490.6 7.7844 \n", "14 4616.7 7.8855 " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_excel('../figures/Module-4/Steam_9MPa.xlsx', sheet_name='Sheet2', index_col=None, na_values=['NA'])\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 10 MPa" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Temperature (C)Pressure (MPa)Volume (m3/kg)Internal Energy (kJ/kg)Enthalpy (kJ/kg)Entropy (J/g*K)
0311100.0180302545.22725.55.6160
1350100.0224402699.62924.05.9459
2400100.0264362833.13097.46.2141
3450100.0297822944.53242.36.4219
4500100.0328113047.03375.16.5995
5550100.0356543145.43502.06.7585
6600100.0383783242.03625.86.9045
7650100.0410183337.93748.17.0408
8700100.0435973434.03870.07.1693
9750100.0461313530.73992.07.2916
10800100.0486293628.24114.57.4085
11850100.0510993726.84237.87.5207
12900100.0535473826.54362.07.6290
13950100.0559763927.54487.37.7335
141000100.0583904029.94613.87.8349
\n", "
" ], "text/plain": [ " Temperature (C) Pressure (MPa) Volume (m3/kg) Internal Energy (kJ/kg) \\\n", "0 311 10 0.018030 2545.2 \n", "1 350 10 0.022440 2699.6 \n", "2 400 10 0.026436 2833.1 \n", "3 450 10 0.029782 2944.5 \n", "4 500 10 0.032811 3047.0 \n", "5 550 10 0.035654 3145.4 \n", "6 600 10 0.038378 3242.0 \n", "7 650 10 0.041018 3337.9 \n", "8 700 10 0.043597 3434.0 \n", "9 750 10 0.046131 3530.7 \n", "10 800 10 0.048629 3628.2 \n", "11 850 10 0.051099 3726.8 \n", "12 900 10 0.053547 3826.5 \n", "13 950 10 0.055976 3927.5 \n", "14 1000 10 0.058390 4029.9 \n", "\n", " Enthalpy (kJ/kg) Entropy (J/g*K) \n", "0 2725.5 5.6160 \n", "1 2924.0 5.9459 \n", "2 3097.4 6.2141 \n", "3 3242.3 6.4219 \n", "4 3375.1 6.5995 \n", "5 3502.0 6.7585 \n", "6 3625.8 6.9045 \n", "7 3748.1 7.0408 \n", "8 3870.0 7.1693 \n", "9 3992.0 7.2916 \n", "10 4114.5 7.4085 \n", "11 4237.8 7.5207 \n", "12 4362.0 7.6290 \n", "13 4487.3 7.7335 \n", "14 4613.8 7.8349 " ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_excel('../figures/Module-4/Steam_10MPa.xlsx', sheet_name='Sheet2', index_col=None, na_values=['NA'])\n", "df" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.1" } }, "nbformat": 4, "nbformat_minor": 2 }