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fix: codes finalized

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Saeed Ranjbar 2024-09-10 21:07:47 -04:00
parent 7c6e693d85
commit 206b5d2c37
8 changed files with 4380 additions and 4328 deletions
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Results.xlsx
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Results_all_together.xlsx Normal file
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new_file_extended.csv Normal file
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optimized_updated.py
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@ -4,7 +4,7 @@ import pandas as pd
# Load data # Load data
data = pd.read_csv('new_file.csv') data = pd.read_csv('new_file_extended.csv')
demand = data['Q_tot_mpc'].to_list() demand = data['Q_tot_mpc'].to_list()
demand_watts = [x * 1000 for x in demand] demand_watts = [x * 1000 for x in demand]
t_out = data['T_out'].to_list() t_out = data['T_out'].to_list()
@ -111,7 +111,7 @@ for j in range(len(demand_watts) - control_horizon): # Adjust loop to avoid exc
hp_cop_curve_coefficients[4] * t_out_fahrenheit ** 2 + hp_cop_curve_coefficients[4] * t_out_fahrenheit ** 2 +
hp_cop_curve_coefficients[5] * t_tank_fahrenheit * t_out_fahrenheit)) * hp_nominal_cop hp_cop_curve_coefficients[5] * t_tank_fahrenheit * t_out_fahrenheit)) * hp_nominal_cop
hp_electricity[j] = q_hp[j] / hp_cop[j] hp_electricity[j] = q_hp[j] / hp_cop[j]
electricity_cost[j] = hp_electricity[j] * p_electricity[j] electricity_cost[j] = hp_electricity[j] * p_electricity[j] / 4000
# Update storage discharge and tank temperature for next step # Update storage discharge and tank temperature for next step
if storage_output[0] > 0.5 * max(demand_window): if storage_output[0] > 0.5 * max(demand_window):
@ -129,6 +129,7 @@ output["demand"] = demand_watts
output["q_hp"] = q_hp output["q_hp"] = q_hp
output["hp_cop"] = hp_cop output["hp_cop"] = hp_cop
output["hp_electricity_consumption"] = hp_electricity output["hp_electricity_consumption"] = hp_electricity
output["electricity_cost"] = electricity_cost
output["m_ch"] = m_ch output["m_ch"] = m_ch
output["m_dis"] = m_dis output["m_dis"] = m_dis
output["t_sup_hp"] = t_sup_hp output["t_sup_hp"] = t_sup_hp

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results_multi_objective.csv
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results_rolling_window.csv
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results_rule_based.csv
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rule_based.py
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@ -31,11 +31,11 @@ for i in range(len(demand) - 1):
q_hp[i + 1] = hp_cap q_hp[i + 1] = hp_cap
m_ch[i + 1] = q_hp[i + 1] / (cp * hp_delta_t) m_ch[i + 1] = q_hp[i + 1] / (cp * hp_delta_t)
t_sup_hp[i + 1] = (q_hp[i + 1] / (m_ch[i + 1] * cp)) + t_tank[i + 1] t_sup_hp[i + 1] = (q_hp[i + 1] / (m_ch[i + 1] * cp)) + t_tank[i + 1]
elif 40 <= t_tank[i + 1] < 55 and q_hp[i] == 0: elif 40 <= t_tank[i + 1] < 50 and q_hp[i] == 0:
q_hp[i + 1] = 0 q_hp[i + 1] = 0
m_ch[i + 1] = 0 m_ch[i + 1] = 0
t_sup_hp[i + 1] = t_tank[i + 1] t_sup_hp[i + 1] = t_tank[i + 1]
elif 40 <= t_tank[i + 1] < 55 and q_hp[i] > 0: elif 40 <= t_tank[i + 1] < 50 and q_hp[i] > 0:
q_hp[i + 1] = hp_cap q_hp[i + 1] = hp_cap
m_ch[i + 1] = q_hp[i + 1] / (cp * hp_delta_t) m_ch[i + 1] = q_hp[i + 1] / (cp * hp_delta_t)
t_sup_hp[i + 1] = (q_hp[i + 1] / (m_ch[i + 1] * cp)) + t_tank[i + 1] t_sup_hp[i + 1] = (q_hp[i + 1] / (m_ch[i + 1] * cp)) + t_tank[i + 1]
@ -51,7 +51,7 @@ for i in range(len(demand) - 1):
hp_cop_curve_coefficients[4] * t_out_fahrenheit ** 2 + hp_cop_curve_coefficients[4] * t_out_fahrenheit ** 2 +
hp_cop_curve_coefficients[5] * t_tank_fahrenheit * t_out_fahrenheit)) * hp_nominal_efficiency hp_cop_curve_coefficients[5] * t_tank_fahrenheit * t_out_fahrenheit)) * hp_nominal_efficiency
hp_electricity[i + 1] = q_hp[i + 1] / hp_cop[i + 1] hp_electricity[i + 1] = q_hp[i + 1] / hp_cop[i + 1]
electricity_cost[i + 1] = hp_electricity[i + 1] * p_electricity[i + 1] electricity_cost[i + 1] = hp_electricity[i + 1] * p_electricity[i + 1] / 4000
else: else:
hp_cop[i + 1] = 0 hp_cop[i + 1] = 0
hp_electricity[i + 1] = 0 hp_electricity[i + 1] = 0
@ -74,6 +74,7 @@ output["demand"] = [x * 1000 for x in demand][1:]
output["q_hp"] = q_hp[1:] output["q_hp"] = q_hp[1:]
output["hp_cop"] = hp_cop[1:] output["hp_cop"] = hp_cop[1:]
output["hp_electricity_consumption"] = hp_electricity[1:] output["hp_electricity_consumption"] = hp_electricity[1:]
output["electricity_cost"] = electricity_cost[1:]
output["m_ch"] = m_ch[1:] output["m_ch"] = m_ch[1:]
output["m_dis"] = m_dis[1:] output["m_dis"] = m_dis[1:]
output["t_sup_hp"] = t_sup_hp[1:] output["t_sup_hp"] = t_sup_hp[1:]