diff --git a/qsdsan/processes/_adm1_p_extension.py b/qsdsan/processes/_adm1_p_extension.py index 1c1a81cb..ab342969 100644 --- a/qsdsan/processes/_adm1_p_extension.py +++ b/qsdsan/processes/_adm1_p_extension.py @@ -239,7 +239,6 @@ def _rhos_adm1_p_extension(state_arr, params, h=None): rhos[9] *= Inh3 rhos[-3:] = kLa * (biogas_S - KH * biogas_p) - # print(rhos) return rhos def dydt_Sh2_AD(S_h2, state_arr, h, params, f_stoichio, V_liq, S_h2_in): @@ -355,6 +354,42 @@ class ADM1_p_extension(ADM1): >>> adm1_p.show() ADM1_p_extension([hydrolysis_carbs, hydrolysis_proteins, hydrolysis_lipids, uptake_sugars, uptake_amino_acids, uptake_LCFA, uptake_valerate, uptake_butyrate, uptake_propionate, uptake_acetate, uptake_h2, decay_Xsu, decay_Xaa, decay_Xfa, decay_Xc4, decay_Xpro, decay_Xac, decay_Xh2, storage_Sva_in_XPHA, storage_Sbu_in_XPHA, storage_Spro_in_XPHA, storage_Sac_in_XPHA, lysis_XPAO, lysis_XPP, lysis_XPHA, h2_transfer, ch4_transfer, IC_transfer]) + >>> import numpy as np + >>> state_arr = np.ones(cmps.size + len(adm1_p._biogas_IDs) + 2) # liquid-phase concentrations, gas-phase concentrations, liquid flowrate, and temperature + >>> state_arr[-1] = 273.15+35 # Temperature + >>> rhos = adm1_p.rate_function(state_arr) # reaction rate for each process + >>> for i,j in zip(adm1_p.IDs, rhos): + ... print(f'{i}{(40-len(i))*" "}{j:.3g}') + hydrolysis_carbs 10 + hydrolysis_proteins 10 + hydrolysis_lipids 10 + uptake_sugars 20 + uptake_amino_acids 38.4 + uptake_LCFA 2.14e-05 + uptake_valerate 8.32e-05 + uptake_butyrate 8.32e-05 + uptake_propionate 4.13e-05 + uptake_acetate 1.93 + uptake_h2 34.9 + decay_Xsu 0.02 + decay_Xaa 0.02 + decay_Xfa 0.02 + decay_Xc4 0.02 + decay_Xpro 0.02 + decay_Xac 0.02 + decay_Xh2 0.02 + storage_Sva_in_XPHA 0.747 + storage_Sbu_in_XPHA 0.747 + storage_Spro_in_XPHA 0.747 + storage_Sac_in_XPHA 0.747 + lysis_XPAO 0.2 + lysis_XPP 0.2 + lysis_XPHA 0.2 + h2_transfer 139 + ch4_transfer -181 + IC_transfer -1.66e+03 + + References ---------- [1] Batstone, D. J.; Keller, J.; Angelidaki, I.; Kalyuzhnyi, S. V;