@B_chavarria

import matplotlib.pyplot as plt # Datos de los meses y energía producida en GWh meses = ['Enero', 'Febrero', 'Marzo', 'Abril', 'Mayo', 'Junio', 'Julio', 'Agosto', 'Septiembre', 'Octubre', 'Noviembre', 'Diciembre'] energia_electrica = [

import matplotlib.pyplot as plt # Datos de los meses y energía producida en MWh meses = ['Enero', 'Febrero', 'Marzo', 'Abril', 'Mayo', 'Junio', 'Julio', 'Agosto', 'Septiembre', 'Octubre', 'Noviembre', 'Diciembre'] energia_electrica = [

import matplotlib.pyplot as plt # Datos proporcionados rangos = [20, 18, 16, 14, 12, 10, 8, 6, 4] temp_pv = [90.32, 88.38, 86.44, 84.49, 82.55, 80.59, 78.64, 76.67, 74.7] temp_absorbedor = [88.15, 86.43, 84.71, 83.00, 81.28, 79.55, 77.82, 76.09, 74

import matplotlib.pyplot as plt # Datos proporcionados rangos = [20, 18, 16, 14, 12, 10, 8, 6, 4] temp_pv = [90.32, 88.38, 86.44, 84.49, 82.55, 80.59, 78.64, 76.67, 74.7] temp_absorbedor = [88.15, 86.43, 84.71, 83, 81.28, 79.55, 77.82, 76.09, 74.34

import matplotlib.pyplot as plt # Datos proporcionados rangos = [0.9, 0.85, 0.8, 0.75, 0.7, 0.65, 0.6] temp_pv = [81.44, 80.84, 80.23, 79.63, 79.02, 78.42, 77.82] temp_absorbedor = [80.3, 79.76, 79.23, 78.7, 78.16, 77.63, 77.1] temp_sustrato = [80.

import matplotlib.pyplot as plt # Datos proporcionados rangos = [3, 6, 9, 12, 15, 18, 21, 24, 27, 30] temp_pv = [83.82, 81.28, 80.68, 80.51, 80.51, 80.58, 80.69, 80.83, 80.99, 81.15] temp_absorbedor = [80.19, 79.49, 79.51, 79.66, 79.84, 80.04, 80.2

import matplotlib.pyplot as plt # Datos proporcionados rangos = [0.03, 0.025, 0.02, 0.015, 0.01, 0.005] temp_pv = [80.59, 80.58, 80.61, 80.72, 81.14, 83.24] temp_absorbedor = [79.55, 79.54, 79.56, 79.68, 80.1, 82.2] temp_sustrato = [79.46, 79.45, 7

import matplotlib.pyplot as plt # Datos proporcionados rangos = [10, 20, 30, 40, 50, 60] temp_pv = [78.96, 87.09, 95.17, 103.3, 111.4, 119.5] temp_absorbedor = [78.15, 85.25, 92.45, 99.55, 106.75, 113.95] temp_sustrato = [78.02, 85.19, 92.34, 99.5,

import matplotlib.pyplot as plt # Datos rangos = [3, 6, 9, 12, 15, 18, 21, 24, 27, 30] eficiencia_electrica = [0.2656, 0.2562, 0.2504, 0.2461, 0.2428, 0.24, 0.2376, 0.2356, 0.2337, 0.232] eficiencia_termica = [0.5505, 0.5728, 0.5912, 0.6078, 0.6236

import matplotlib.pyplot as plt # Datos rangos = [10, 20, 30, 40, 50, 60] eficiencia_electrica = [0.2469, 0.2537, 0.2566, 0.258, 0.2586, 0.2587] eficiencia_termica = [0.6072, 0.5753, 0.564, 0.5584, 0.5553, 0.5535] # Configuración del gráfico fig,

import matplotlib.pyplot as plt # Nuevos datos rangos = [0.03, 0.025, 0.02, 0.015, 0.01, 0.005] eficiencia_electrica = [0.2488, 0.2488, 0.2488, 0.2488, 0.2486, 0.2476] eficiencia_termica = [0.5969, 0.5969, 0.5969, 0.5969, 0.597, 0.5977] # Configur

import matplotlib.pyplot as plt # Nuevos datos rangos = [0.9, 0.85, 0.8, 0.75, 0.7, 0.65, 0.6] eficiencia_electrica = [0.2694, 0.2547, 0.24, 0.2252, 0.2105, 0.1956, 0.1808] eficiencia_termica = [0.6441, 0.6103, 0.5766, 0.5429, 0.5093, 0.4757, 0.442

import matplotlib.pyplot as plt # Datos proporcionados meses = list(range(1, 13)) temp_htf_cuernavaca = [71.55, 87.84, 97.06, 86.09, 92.03, 90.56, 101.9, 88.03, 54.34, 47.6, 78.65, 71.97] temp_htf_mexicali = [63.23, 82.52, 98.38, 109.7, 112.4, 115.

import matplotlib.pyplot as plt # Datos meses = list(range(1, 13)) eficiencia_termica_cuernavaca = [0.5958, 0.5975, 0.603, 0.6028, 0.5992, 0.6011, 0.6018, 0.5975, 0.5918, 0.5921, 0.5925, 0.5908] eficiencia_termica_mexicali = [0.5768, 0.5893, 0.5988

import matplotlib.pyplot as plt # Datos meses = list(range(1, 13)) eficiencia_cuernavaca = [0.2527, 0.245, 0.2408, 0.2459, 0.2431, 0.2438, 0.2385, 0.2449, 0.2494, 0.2546, 0.2493, 0.2525] eficiencia_mexicali = [0.2565, 0.2475, 0.2401, 0.2349, 0.2336

import matplotlib.pyplot as plt # Datos meses = list(range(1, 13)) energia_termica_cuernavaca = [6743088, 8911746, 10492632, 9158608, 11529427, 10117026, 12718343, 10610885, 4769532, 3553407, 7477019, 6937986] energia_termica_mexicali = [5897151, 7

import matplotlib.pyplot as plt # Datos meses = list(range(1, 13)) energia_elec_cuernavaca = [2859672, 3654675, 4189464, 3736312, 4677218, 4103054, 5039067, 4350135, 2013362, 1539120, 3146569, 2964654] energia_elec_mexicali = [2622541, 3334548, 431

program solve_temperatures implicit none ! Declaración de variables real :: Tem_a, Tem_sky, Tem_f_in, Tem_pv, Tem_conc real :: Tem_abs, Tem_sub, Tem_f_out, P_ele_pv, q_f real :: tol integer :: max_iter ! Variables de la

import numpy as np import matplotlib.pyplot as plt # Definir la ecuación de la parábola en su forma estándar y el rango de valores de x a = 1 / (4 * 0.6) # Calculamos 'a' basado en la distancia desde el vértice hasta el punto focal x = np.linspace

import matplotlib.pyplot as plt # Datos proporcionados meses = list(range(1, 13)) temp_ambiente = [24.65, 23.85, 29.65, 27.85, 23.65, 26.75, 27.25, 23.85, 23.25, 24.25, 25.65, 23.35] temp_cielo = [16.65, 15.85, 21.65, 19.85, 15.65, 18.75, 19.25, 15