junte/Model
1
0
Fork 0
mirror of https://github.com/Hestia-Homes/Model.git synced 2026-06-08 11:17:27 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

tweaking google solar api ranking algorithm

Browse source
This commit is contained in:
Khalim Conn-Kowlessar 2024-10-07 12:43:40 +01:00
parent 88e4630c25
commit f67668eb41
2 changed files with 10 additions and 13 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

20
backend/apis/GoogleSolarApi.py
View file

@ -69,7 +69,7 @@ class GoogleSolarApi:
self.floor_area = None
self.roof_area = None
self.roof_segment_indexes = None
self.panel_area = None
self.panel_area = assumptions.RDSAP_AREA_PER_PANEL
self.panel_wattage = None
self.panel_performance = None
@ -166,10 +166,6 @@ class GoogleSolarApi:
self.roof_area = self.insights_data["solarPotential"]["wholeRoofStats"]['areaMeters2']
self.floor_area = self.insights_data["solarPotential"]["wholeRoofStats"]['groundAreaMeters2']
self.panel_area = (
self.insights_data["solarPotential"]["panelHeightMeters"] *
self.insights_data["solarPotential"]["panelWidthMeters"]
)
self.panel_wattage = self.insights_data["solarPotential"]["panelCapacityWatts"]
if self.panel_wattage != 400:
# In the API documentation, it claims that the default output is 250W, however we've only seen 400W, so if
@ -450,8 +446,8 @@ class GoogleSolarApi:
# We want max roi, minimal generation deficit, and max generation value - we create a ranking score
# Assign equal weights to each metric
weights = {'roi': 0.6, 'generation_value': 0.2, 'generation_deficit': 0.2}
metrics = panel_performance[['roi', 'generation_value', 'generation_deficit']]
weights = {'roi': 0.8, 'generation_value': 0.2}
metrics = panel_performance[['roi', 'generation_value']].copy()
# Normalize the columns (0 to 1 scale)
scaler = MinMaxScaler()
@ -459,12 +455,11 @@ class GoogleSolarApi:
# Convert normalized metrics back to a dataframe
normalized_metrics_df = pd.DataFrame(
normalized_metrics, columns=['roi', 'generation_value', 'generation_deficit']
normalized_metrics, columns=['roi', 'generation_value']
)
normalized_metrics_df['combined_score'] = (
normalized_metrics_df['roi'] * weights['roi'] +
normalized_metrics_df['generation_value'] * weights['generation_value'] +
(1 - normalized_metrics_df['generation_deficit']) * weights['generation_deficit']
normalized_metrics_df['generation_value'] * weights['generation_value']
)
panel_performance['combined_score'] = normalized_metrics_df['combined_score'].values
@ -799,7 +794,6 @@ class GoogleSolarApi:
"panel_performance": solar_api_client.panel_performance,
"unit_share_of_energy": 1
},
roof_area=solar_api_client.roof_area
)
return input_properties
@ -825,7 +819,7 @@ class GoogleSolarApi:
n_panels=10, has_battery=False, n_floors=property_instance.number_of_floors
)["total"],
'weighted_ratio': None,
'panneled_roof_area': 10 * 1.8,
'panneled_roof_area': 10 * assumptions.RDSAP_AREA_PER_PANEL,
'array_wattage': 4000,
'initial_ac_kwh_per_year': 4000 * 0.95, # Assumed 95% efficient wattage -> ac
'lifetime_ac_kwh': None,
@ -845,7 +839,7 @@ class GoogleSolarApi:
n_panels=6, has_battery=False, n_floors=property_instance.number_of_floors
)["total"],
'weighted_ratio': None,
'panneled_roof_area': 6 * 1.8,
'panneled_roof_area': 6 * assumptions.RDSAP_AREA_PER_PANEL,
'array_wattage': 2400,
'initial_ac_kwh_per_year': 2400 * 0.95, # Assumed 95% efficient wattage -> ac
'lifetime_ac_kwh': None,

3
backend/app/assumptions.py
View file

@ -7,6 +7,9 @@ AVERAGE_ASHP_EFFICIENCY = 250
# be exported
SOLAR_CONSUMPTION_PROPORTION = 0.5
# Typically, each solar panel takes up around 3.4 m2 of roof space under RdSAP. This was been verified in Elmhurst
RDSAP_AREA_PER_PANEL = 3.4
DESCRIPTIONS_TO_FUEL_TYPES = {
"Air source heat pump, radiators, electric": {
"fuel": "Electricity", "cop": AVERAGE_ASHP_EFFICIENCY / 100