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state4 = np.array([p4, t4, h4, s4]) # State 4b: After Condenser and before Pump p4b=p4 t4b=t4 h4b=CP.PropsSI(’H’,’P’,p4b,’T|liquid’,t4b,fluid) s4b=CP.PropsSI(’S’,’P’,p4b,’T|liquid’,t4b,fluid) state4b = np.array([p4b, t4b, h4b, s4b]) elif x<1: # State 4b: After Condenser and before Pump p4b=p3 s_f=CP.PropsSI(’S’, s_g=CP.PropsSI(’S’, s4b=s_f+x*(s_g-s_f) h4b=CP.PropsSI(’H’, t4b=CP.PropsSI(’T’, state4b = np.array([p4b, t4b, h4b, #STATE 5: After Pump and before Boiler p5=p1 s5s=s4b h5s=CP.PropsSI(’H’, ’P’, p5, ’S’, s5s, h5=h4b+(h5s-h4b)/eta_p s4b]) fluid) ’P’, p4b, ’Q’, ’P’, p4b, ’Q’, 0, fluid) 0, fluid) ’P’, p4b, ’S’, ’P’, p4b, ’S’, s4b, fluid) s4b, fluid) s5 = CP.PropsSI(’S’,’P’,p5,’H’,h5,fluid) t5 = CP.PropsSI(’T’, ’H’, h5, ’S’, s5, fluid) state5 = np.array([p5, t5, h5, s5]) if x>=1: state_vec=np.concatenate((state1,state2,state3,state4,state4b,state5)) state_vec = state_vec.reshape((6, 4)) elif x<1: state_vec=np.concatenate((state1,state2,state3,state4b,state5)) state_vec=state_vec.reshape((5, 4)) return [state_vec,x] A.9 Code: Run ORC function from ORC import * from ph_plot import * from Ts_plot import * import numpy as np import CoolProp.CoolProp as CP # INPUT PARAMETERS # fluid=’R1233ZD(E)’ T_hot_in=273.15+170 T_hot_out=273.15+145 T_cold_in=273.15+0 T_cold_out=273.15+10 TTD_evap=10 TTD_cond=10 dT_crit=5 # Evaporator Terminal temperature difference # Condenser Terminal temperature difference # dT_crit = T_crit - T_evap eta_p=0.8 eta_t=0.8 T_crit=CP.PropsSI(’TCRIT’,fluid) - 273.15 T_triple=CP.PropsSI(’TTRIPLE’,fluid) - 273.15 # Input vector sysvals=[fluid,T_hot_in,T_hot_out,T_cold_in,T_cold_out,TTD_evap,TTD_cond,dT_crit,eta_p,eta_t] # Calling the function 105PDF Image | Analysis of Organic Rankine Cycles for a Boiler Station
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