Source code for cea.demand.rc_model_crank_nicholson_procedure

# -*- coding: utf-8 -*-


from __future__ import division
from cea.demand import airconditioning_model, rc_model_SIA, control_heating_cooling_systems, \
    space_emission_systems

__author__ = "Gabriel Happle"
__copyright__ = "Copyright 2016, Architecture and Building Systems - ETH Zurich"
__credits__ = ["Gabriel Happle"]
__license__ = "MIT"
__version__ = "0.1"
__maintainer__ = "Daren Thomas"
__email__ = "thomas@arch.ethz.ch"
__status__ = "Production"


[docs]def calc_rc_model_demand_heating_cooling(bpr, tsd, t, gv): """ Crank-Nicholson Procedure to calculate heating / cooling demand of buildings following the procedure in 2.3.2 in SIA 2044 / Korrigenda C1 zum Merkblatt SIA 2044:2011 / Korrigenda C2 zum Mekblatt SIA 2044:2011 Special procedures for updating ventilation air AC-heated and AC-cooled buildings Author: Gabriel Happle Date: 01/2017 :param bpr: building properties row object :param tsd: time series data dict :param t: time step / hour of year [0..8760] :param gv: globalvars :return: updates values in tsd """ # following the procedure in 2.3.2 in SIA 2044 / Korrigenda C1 zum Merkblatt SIA 2044:2011 # / Korrigenda C2 zum Mekblatt SIA 2044:2011 # ++++++++++++++++++++++++++++++ # CASE 0 - NO HEATING OR COOLING # ++++++++++++++++++++++++++++++ if not control_heating_cooling_systems.is_active_heating_system(bpr, tsd, t) \ and not control_heating_cooling_systems.is_active_cooling_system(bpr, tsd, t): # STEP 1 # ****** # calculate temperatures rc_model_temperatures = rc_model_SIA.calc_rc_model_temperatures_no_heating_cooling(bpr, tsd, t) # write to tsd tsd['theta_a'][t] = rc_model_temperatures['theta_a'] tsd['theta_m'][t] = rc_model_temperatures['theta_m'] tsd['theta_c'][t] = rc_model_temperatures['theta_c'] tsd['theta_o'][t] = rc_model_temperatures['theta_o'] update_tsd_no_cooling(tsd, t) update_tsd_no_heating(tsd, t) tsd['system_status'][t] = 'systems off' # ++++++++++++++++ # CASE 1 - HEATING # ++++++++++++++++ elif control_heating_cooling_systems.is_active_heating_system(bpr, tsd, t): # case for heating tsd['system_status'][t] = 'Radiative heating' # STEP 1 # ****** # calculate temperatures with 0 heating power rc_model_temperatures_0 = rc_model_SIA.calc_rc_model_temperatures_no_heating_cooling(bpr, tsd, t) theta_a_0 = rc_model_temperatures_0['theta_a'] # STEP 2 # ****** # calculate temperatures with 10 W/m2 heating power phi_hc_10 = 10 * bpr.rc_model['Af'] rc_model_temperatures_10 = rc_model_SIA.calc_rc_model_temperatures_heating(phi_hc_10, bpr, tsd, t) theta_a_10 = rc_model_temperatures_10['theta_a'] theta_a_set = tsd['ta_hs_set'][t] # interpolate heating power # (64) in SIA 2044 / Korrigenda C1 zum Merkblatt SIA 2044:2011 / Korrigenda C2 zum Mekblatt SIA 2044:2011 phi_hc_ul = phi_hc_10*(theta_a_set - theta_a_0) / (theta_a_10 - theta_a_0) # STEP 3 # ****** # check if available power is sufficient phi_h_max = bpr.hvac['Qhsmax_Wm2'] * bpr.rc_model['Af'] if 0 < phi_hc_ul <= phi_h_max: # case heating with phi_hc_ul # calculate temperatures with this power phi_h_act = phi_hc_ul elif 0 < phi_hc_ul > phi_h_max: # case heating with max power available # calculate temperatures with this power phi_h_act = phi_h_max else: raise # STEP 4 # ****** rc_model_temperatures = rc_model_SIA.calc_rc_model_temperatures_heating(phi_h_act, bpr, tsd, t) # write necessary parameters for AC calculation to tsd tsd['theta_a'][t] = rc_model_temperatures['theta_a'] tsd['theta_m'][t] = rc_model_temperatures['theta_m'] tsd['theta_c'][t] = rc_model_temperatures['theta_c'] tsd['theta_o'][t] = rc_model_temperatures['theta_o'] tsd['Qhs_sen'][t] = phi_h_act tsd['Qhs_sen_sys'][t] = phi_h_act tsd['Qhs_lat_sys'][t] = 0 tsd['Ehs_lat_aux'][t] = 0 tsd['ma_sup_hs'][t] = 0 tsd['Ta_sup_hs'][t] = 0 tsd['Ta_re_hs'][t] = 0 tsd['m_ve_recirculation'][t] = 0 # STEP 5 - latent and sensible heat demand of AC systems # ****** if control_heating_cooling_systems.heating_system_is_ac(bpr): air_con_model_loads_flows_temperatures = airconditioning_model.calc_hvac_heating(tsd, t, gv) tsd['system_status'][t] = 'AC heating' # update temperatures for over heating case if air_con_model_loads_flows_temperatures['q_hs_sen_hvac'] > phi_h_act: phi_h_act_over_heating = air_con_model_loads_flows_temperatures['q_hs_sen_hvac'] rc_model_temperatures = rc_model_SIA.calc_rc_model_temperatures_heating( phi_h_act_over_heating, bpr, tsd, t) # update temperatures tsd['theta_a'][t] = rc_model_temperatures['theta_a'] tsd['theta_m'][t] = rc_model_temperatures['theta_m'] tsd['theta_c'][t] = rc_model_temperatures['theta_c'] tsd['theta_o'][t] = rc_model_temperatures['theta_o'] tsd['system_status'][t] = 'AC over heating' # update AC energy demand tsd['Qhs_sen_sys'][t] = air_con_model_loads_flows_temperatures['q_hs_sen_hvac'] tsd['Qhs_lat_sys'][t] = air_con_model_loads_flows_temperatures['q_hs_lat_hvac'] tsd['ma_sup_hs'][t] = air_con_model_loads_flows_temperatures['ma_sup_hs'] tsd['Ta_sup_hs'][t] = air_con_model_loads_flows_temperatures['ta_sup_hs'] tsd['Ta_re_hs'][t] = air_con_model_loads_flows_temperatures['ta_re_hs'] tsd['Ehs_lat_aux'][t] = air_con_model_loads_flows_temperatures['e_hs_lat_aux'] tsd['m_ve_recirculation'][t] = air_con_model_loads_flows_temperatures['m_ve_hvac_recirculation'] # STEP 6 - emission system losses # ****** q_em_ls_heating = space_emission_systems.calc_q_em_ls_heating(bpr, tsd, t) # set temperatures to tsd for heating tsd['theta_a'][t] = rc_model_temperatures['theta_a'] tsd['theta_m'][t] = rc_model_temperatures['theta_m'] tsd['theta_c'][t] = rc_model_temperatures['theta_c'] tsd['theta_o'][t] = rc_model_temperatures['theta_o'] tsd['Qhs_lat_sys'][t] = 0 tsd['Qhs_em_ls'][t] = q_em_ls_heating tsd['Qhs_sen'][t] = phi_h_act tsd['Qhsf'][t] = 0 tsd['Qhsf_lat'][t] = 0 update_tsd_no_cooling(tsd, t) # ++++++++++++++++ # CASE 2 - COOLING # ++++++++++++++++ elif control_heating_cooling_systems.is_active_cooling_system(bpr, tsd, t): # case for cooling tsd['system_status'][t] = 'Radiative cooling' # STEP 1 # ****** # calculate temperatures with 0 heating power rc_model_temperatures_0 = rc_model_SIA.calc_rc_model_temperatures_no_heating_cooling(bpr, tsd, t) theta_a_0 = rc_model_temperatures_0['theta_a'] # STEP 2 # ****** # calculate temperatures with 10 W/m2 cooling power phi_hc_10 = 10 * bpr.rc_model['Af'] rc_model_temperatures_10 = rc_model_SIA.calc_rc_model_temperatures_cooling(phi_hc_10, bpr, tsd, t) theta_a_10 = rc_model_temperatures_10['theta_a'] theta_a_set = tsd['ta_cs_set'][t] # interpolate heating power # (64) in SIA 2044 / Korrigenda C1 zum Merkblatt SIA 2044:2011 / Korrigenda C2 zum Mekblatt SIA 2044:2011 phi_hc_ul = phi_hc_10 * (theta_a_set - theta_a_0) / (theta_a_10 - theta_a_0) # STEP 3 # ****** # check if available power is sufficient phi_c_max = -bpr.hvac['Qcsmax_Wm2'] * bpr.rc_model['Af'] if 0 > phi_hc_ul >= phi_c_max: # case heating with phi_hc_ul # calculate temperatures with this power phi_c_act = phi_hc_ul elif 0 > phi_hc_ul < phi_c_max: # case heating with max power available # calculate temperatures with this power phi_c_act = phi_c_max else: raise # STEP 4 # ****** rc_model_temperatures = rc_model_SIA.calc_rc_model_temperatures_cooling(phi_c_act, bpr, tsd, t) # write necessary parameters for AC calculation to tsd tsd['theta_a'][t] = rc_model_temperatures['theta_a'] tsd['theta_m'][t] = rc_model_temperatures['theta_m'] tsd['theta_c'][t] = rc_model_temperatures['theta_c'] tsd['theta_o'][t] = rc_model_temperatures['theta_o'] tsd['Qcs_sen'][t] = phi_c_act tsd['Qcs_sen_sys'][t] = phi_c_act tsd['Qcs_lat_sys'][t] = 0 tsd['ma_sup_cs'][t] = 0 tsd['m_ve_recirculation'][t] = 0 # STEP 5 - latent and sensible heat demand of AC systems # ****** if control_heating_cooling_systems.cooling_system_is_ac(bpr): tsd['system_status'][t] = 'AC cooling' air_con_model_loads_flows_temperatures = airconditioning_model.calc_hvac_cooling(tsd, t, gv) # update temperatures for over cooling case if air_con_model_loads_flows_temperatures['q_cs_sen_hvac'] < phi_c_act: phi_c_act_over_cooling = air_con_model_loads_flows_temperatures['q_cs_sen_hvac'] rc_model_temperatures = rc_model_SIA.calc_rc_model_temperatures_cooling(phi_c_act_over_cooling, bpr, tsd, t) # update temperatures tsd['theta_a'][t] = rc_model_temperatures['theta_a'] tsd['theta_m'][t] = rc_model_temperatures['theta_m'] tsd['theta_c'][t] = rc_model_temperatures['theta_c'] tsd['theta_o'][t] = rc_model_temperatures['theta_o'] tsd['system_status'][t] = 'AC over cooling' # update AC energy demand tsd['Qcs_sen_sys'][t] = air_con_model_loads_flows_temperatures['q_cs_sen_hvac'] tsd['Qcs_lat_sys'][t] = air_con_model_loads_flows_temperatures['q_cs_lat_hvac'] tsd['ma_sup_cs'][t] = air_con_model_loads_flows_temperatures['ma_sup_cs'] tsd['Ta_sup_cs'][t] = air_con_model_loads_flows_temperatures['ta_sup_cs'] tsd['Ta_re_cs'][t] = air_con_model_loads_flows_temperatures['ta_re_cs'] tsd['m_ve_recirculation'][t] = air_con_model_loads_flows_temperatures['m_ve_hvac_recirculation'] # STEP 6 - emission system losses # ****** q_em_ls_cooling = space_emission_systems.calc_q_em_ls_cooling(bpr, tsd, t) # set temperatures to tsd for heating tsd['theta_a'][t] = rc_model_temperatures['theta_a'] tsd['theta_m'][t] = rc_model_temperatures['theta_m'] tsd['theta_c'][t] = rc_model_temperatures['theta_c'] tsd['theta_o'][t] = rc_model_temperatures['theta_o'] tsd['Qcs'][t] = 0 tsd['Qcs_em_ls'][t] = q_em_ls_cooling tsd['Qcsf'][t] = 0 tsd['Qcsf_lat'][t] = 0 update_tsd_no_heating(tsd, t) return
[docs]def update_tsd_no_heating(tsd, t): """ updates NaN values in tsd for case of no heating demand Author: Gabriel Happle Date: 01/2017 :param tsd: time series data dict :param t: time step / hour of year [0..8760] :return: updates tsd values """ tsd['Qhs_sen'][t] = 0 tsd['Qhs_sen_sys'][t] = 0 tsd['Qhs_lat_sys'][t] = 0 tsd['Qhs_em_ls'][t] = 0 tsd['ma_sup_hs'][t] = 0 tsd['Ta_sup_hs'][t] = 0 # TODO: this is dangerous as there is no temperature needed, 0 is necessary for 'calc_temperatures_emission_systems' to work tsd['Ta_re_hs'][t] = 0 # TODO: this is dangerous as there is no temperature needed, 0 is necessary for 'calc_temperatures_emission_systems' to work tsd['Ehs_lat_aux'][t] = 0 tsd['m_ve_recirculation'][t] = 0 return
[docs]def update_tsd_no_cooling(tsd, t): """ updates NaN values in tsd for case of no cooling demand Author: Gabriel Happle Date: 01/2017 :param tsd: time series data dict :param t: time step / hour of year [0..8760] :return: updates tsd values """ tsd['Qcs_sen'][t] = 0 tsd['Qcs_sen_sys'][t] = 0 tsd['Qcs_lat_sys'][t] = 0 tsd['Qcs_em_ls'][t] = 0 tsd['ma_sup_cs'][t] = 0 tsd['Ta_sup_cs'][t] = 0 # TODO: this is dangerous as there is no temperature needed, 0 is necessary for 'calc_temperatures_emission_systems' to work tsd['Ta_re_cs'][t] = 0 # TODO: this is dangerous as there is no temperature needed, 0 is necessary for 'calc_temperatures_emission_systems' to work tsd['m_ve_recirculation'][t] = 0 return