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Refactor htcl_adj_rec() method
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@aspeake
aspeake committed May 21, 2024
1 parent 40b5917 commit f15b161
Showing 1 changed file with 120 additions and 121 deletions.
241 changes: 120 additions & 121 deletions scout/ecm_prep.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11201,126 +11201,126 @@ def htcl_adj_rec(self, opts):
opts (object): Stores user-specified execution options.
"""

# If there are both heating/cooling equipment and envelope measures,
# in the package, continue further to check for overlaps
if all([len(x) != 0 for x in [
self.contributing_ECMs_eqp, self.contributing_ECMs_env]]):
# Loop through the heating/cooling equipment measures, check for
# overlaps with envelope measures, and record the overlaps
for ind, m in enumerate(self.contributing_ECMs_eqp):
# Record unique data for each adoption scheme
for adopt_scheme in self.handyvars.adopt_schemes:
# Use shorthand for measure contributing microsegment data
msegs_meas = copy.deepcopy(m.markets[adopt_scheme][
"mseg_adjust"]["contributing mseg keys and values"])
# Loop through all contributing microsegment keys for the
# equipment measure that apply to heating/cooling end uses
# and have not previously been parsed for overlapping data
for cm_key in [x for x in msegs_meas.keys() if (any([
e in x for e in [
"heating", "cooling", "secondary heating"]]) and x
not in self.htcl_overlaps[adopt_scheme]["keys"])]:
# Record that the contributing microsegment key has
# been parsed for overlapping data
self.htcl_overlaps[adopt_scheme]["keys"].append(cm_key)
# Translate the contributing microsegment key (which
# is in string format) to list format
keys = literal_eval(cm_key)
# Pull out region, building type/vintage,
# fuel type, and end use from the key list
cm_key_match = [str(x) for x in [
keys[1], keys[2], keys[-1], keys[3], keys[4]]]
# Determine which, if any, envelope ECMs overlap with
# the region, building type/vintage, fuel type, and
# end use for the current contributing mseg for the
# equipment ECM
dmd_match_ECMs = [
x for x in self.contributing_ECMs_env if
any([all([k in z for k in cm_key_match]) for z in
x.markets[adopt_scheme]["mseg_adjust"][
"contributing mseg keys and values"].keys()])]
# If an overlap is identified, record all necessary
# data for the current contributing microsegment
# across both the equipment and envelope side
# that are needed to remove the overlap subsequently
if len(dmd_match_ECMs) != 0:
# Determine the specific contributing microsegment
# key(s) to use in pulling data from overlapping
# envelope measures for the current region/bldg/
# vintage/fuel/end use combination
cm_keys_dmd = [[x for x in z.markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"].keys()
if all([k in x for k in cm_key_match])] for
z in dmd_match_ECMs]
# Record envelope energy savings across all
# envelope measures that overlap with current mseg
dmd_save = {yr: sum([sum([(
dmd_match_ECMs[m].markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"][
cm_keys_dmd[m][k]]["energy"][
"total"]["baseline"][yr] -
dmd_match_ECMs[m].markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"][
cm_keys_dmd[m][k]]["energy"][
"total"]["efficient"][yr]) for k in range(
len(cm_keys_dmd[m]))]) for
m in range(len(dmd_match_ECMs))]) for yr in
self.handyvars.aeo_years}
# Record envelope energy baselines across all
# envelope measures that overlap with current mseg
dmd_base = {yr: sum([sum([
dmd_match_ECMs[m].markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"][
cm_keys_dmd[m][k]]["energy"][
"total"]["baseline"][yr] for k in range(
len(cm_keys_dmd[m]))]) for
m in range(len(dmd_match_ECMs))]) for yr in
self.handyvars.aeo_years}
# If the user opts to include envelope costs in
# the total costs of the HVAC/envelope package,
# record those overlapping costs
if opts.pkg_env_costs is not False:
dmd_stk_cost = [[
dmd_match_ECMs[m].markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"][
cm_keys_dmd[m][k]]["cost"]["stock"] for
k in range(len(cm_keys_dmd[m]))] for
m in range(len(dmd_match_ECMs))]
dmd_stk = [[
dmd_match_ECMs[m].markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"][
cm_keys_dmd[m][k]]["stock"] for
k in range(len(cm_keys_dmd[m]))] for
m in range(len(dmd_match_ECMs))]
else:
dmd_stk_cost, dmd_stk = (
None for n in range(2))
# If there are both heating/cooling equipment and envelope measures in the package,
# continue further to check for overlaps
if not self.contributing_ECMs_eqp or not self.contributing_ECMs_env:
return

parsed_keys = set()
# Loop through the heating/cooling equipment measures, check for
# overlaps with envelope measures, and record the overlaps
for m in self.contributing_ECMs_eqp:
# Record unique data for each adoption scheme
for adopt_scheme in self.handyvars.adopt_schemes:
msegs_meas = m.markets[adopt_scheme]["mseg_adjust"]["contributing mseg keys and values"]

# Loop through all contributing microsegment keys for the equipment measure that
# apply to heating/cooling end uses and have not previously been parsed for
# overlapping data
hvac_keys = [key for key in msegs_meas.keys() if any(e in key for e in [
"heating", "cooling", "secondary heating"])]
for cm_key in hvac_keys:
if cm_key in parsed_keys:
continue
# Record that the contributing microsegment key has been parsed
parsed_keys.add(cm_key)

# Translate the contributing microsegment key (a str) to list type
keys = literal_eval(cm_key)
# Extract region, building type/vintage, fuel type, & end use from the key list
cm_key_match = [str(x) for x in [keys[1], keys[2], keys[-1], keys[3], keys[4]]]

# Determine which, if any, envelope ECMs overlap with the region, building
# type/vintage, fuel type, and end use for the current contributing mseg for
# the equipment ECM
dmd_match_ECMs = [
x for x in self.contributing_ECMs_env if
any([all([k in z for k in cm_key_match]) for z in
x.markets[adopt_scheme]["mseg_adjust"][
"contributing mseg keys and values"].keys()])]

if not dmd_match_ECMs:
continue

# If an overlap is identified, record all necessary
# data for the current contributing microsegment
# across both the equipment and envelope side
# that are needed to remove the overlap subsequently
cm_keys_dmd = [[x for x in z.markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"].keys()
if all([k in x for k in cm_key_match])] for
z in dmd_match_ECMs]
# Record envelope energy savings across all
# envelope measures that overlap with current mseg
dmd_save = {yr: sum([sum([(
dmd_match_ECMs[m].markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"][
cm_keys_dmd[m][k]]["energy"][
"total"]["baseline"][yr] -
dmd_match_ECMs[m].markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"][
cm_keys_dmd[m][k]]["energy"][
"total"]["efficient"][yr]) for k in range(
len(cm_keys_dmd[m]))]) for
m in range(len(dmd_match_ECMs))]) for yr in
self.handyvars.aeo_years}

# Translate key used to identify overlaps to str
cm_key_store = str(cm_key_match)
# Record the overlap data if it has not already
# been recorded for the current overlapping
# region, building type, building vintage,
# fuel, and end use
if cm_key_store not in self.htcl_overlaps[
adopt_scheme]["data"].keys():
# Data include the overlapping energy savings
# and baselines recorded for the equipment/
# envelope measures above, as well as the
# total energy use that could have overlapped,
# pulled from pre-calculated values
self.htcl_overlaps[adopt_scheme]["data"][
cm_key_store] = {
"affected savings": dmd_save,
"total affected": dmd_base,
"stock costs": dmd_stk_cost,
"stock": dmd_stk}
# Record envelope energy baselines across all
# envelope measures that overlap with current mseg
dmd_base = {yr: sum([sum([
dmd_match_ECMs[m].markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"][
cm_keys_dmd[m][k]]["energy"][
"total"]["baseline"][yr] for k in range(
len(cm_keys_dmd[m]))]) for
m in range(len(dmd_match_ECMs))]) for yr in
self.handyvars.aeo_years}

# If the user opts to include envelope costs in
# the total costs of the HVAC/envelope package,
# record those overlapping costs
if opts.pkg_env_costs is not False:
dmd_stk_cost = [[
dmd_match_ECMs[m].markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"][
cm_keys_dmd[m][k]]["cost"]["stock"] for
k in range(len(cm_keys_dmd[m]))] for
m in range(len(dmd_match_ECMs))]
dmd_stk = [[
dmd_match_ECMs[m].markets[adopt_scheme][
"mseg_adjust"][
"contributing mseg keys and values"][
cm_keys_dmd[m][k]]["stock"] for
k in range(len(cm_keys_dmd[m]))] for
m in range(len(dmd_match_ECMs))]
else:
dmd_stk_cost, dmd_stk = (
None for n in range(2))

# Translate key used to identify overlaps to str
cm_key_store = str(cm_key_match)
# Record the overlap data if it has not already
# been recorded for the current overlapping
# region, building type, building vintage,
# fuel, and end use
if cm_key_store not in self.htcl_overlaps[
adopt_scheme]["data"].keys():
# Data include the overlapping energy savings
# and baselines recorded for the equipment/
# envelope measures above, as well as the
# total energy use that could have overlapped,
# pulled from pre-calculated values
self.htcl_overlaps[adopt_scheme]["data"][
cm_key_store] = {
"affected savings": dmd_save,
"total affected": dmd_base,
"stock costs": dmd_stk_cost,
"stock": dmd_stk}

def merge_direct_overlaps(
self, msegs_meas, cm_key, adopt_scheme, mseg_out_break_adj,
Expand Down Expand Up @@ -12743,8 +12743,7 @@ def prepare_measures(measures, convert_data, msegs, msegs_cpl, handyvars,
# Translate user options to a dictionary for further use in Measures
opts_dict = vars(opts)
# Initialize Measure() objects based on 'measures_update' list
meas_update_objs = [Measure(
base_dir, handyvars, handyfiles, opts_dict, **m) for m in measures]
meas_update_objs = [Measure(base_dir, handyvars, handyfiles, opts_dict, **m) for m in measures]
print("Complete")

# Fill in EnergyPlus-based performance information for Measure objects
Expand Down

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