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

working on unit level solar api integration - need to make adjusted to the energy consumtpion

Browse source
This commit is contained in:
Khalim Conn-Kowlessar 2024-07-26 17:50:29 +01:00
parent 24508b2a84
commit 971a74017e
1 changed files with 39 additions and 7 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

46
backend/app/plan/router.py
View file

@ -434,9 +434,11 @@ async def trigger_plan(body: PlanTriggerRequest):
"longitude": p.spatial["longitude"],
"latitude": p.spatial["latitude"],
# Energy consumption is adjusted for the property's expected post retrofit state
# We set the target rating to EPC C, which is the typical EPC rating we would expect the
# property to achieve post retrofit of just the fabric
"energy_consumption": energy_consumption_client.estimate_new_consumption(
current_rating=p.data["current-energy-rating"],
target_rating=body.goal_value,
target_rating="C",
current_consumption=p.current_adjusted_energy
),
"property_id": p.id,
@ -507,12 +509,42 @@ async def trigger_plan(body: PlanTriggerRequest):
p.set_solar_panel_configuration(unit_solar_panel_configuration)
else:
# # Model the solar potential at the property level
# for p in input_properties:
# # TODO: Complete me! - we probably won't do this for individual flats
# solar_performance = solar_api_client.get(
# longitude=p.spatial["longitude"], latitude=p.spatial["latitude"]
# )
# Model the solar potential at the property level
for p in input_properties:
# TODO: Complete me! - we probably won't do this for individual flats - IGNORE FLATS FROM THIS WITHOUT
# BUILDING IDS
# if the property is already very close to an EPC C, we don't adjust the energy consumption based on
# expected movement to EPC C.
# To extend this, what we could do is adjust the based on the expected movement from the current SAP
# rating to the target SAP rating (ie 69C)
# TODO: Update this!
energy_consumption = energy_consumption_client.estimate_new_consumption(
current_rating=p.data["current-energy-rating"],
target_rating="C",
current_consumption=p.current_adjusted_energy
)
# TODO: Should energy_consumption to adjusted to just electricity requirement?
# We should align our calculation of required energy consumption with expectations around decarbonising
# heating and hot water, so worse case we should take just the electrical consumption of the property
# if the property is current using gas for heating and hot water, then we should adjust the kwh demand
# to reflect the 200-400% efficiency of an ASHP with electrified heating, so that the solar panel can
# cover heating generation. While
# If the main fuel is electricity (not community) then we don't need to change the kwh demand, if it's
# gas we should adjust on the suitability of an ashp!
solar_performance = solar_api_client.get(
longitude=p.spatial["longitude"],
latitude=p.spatial["latitude"],
energy_consumption=energy_consumption,
is_building=False,
session=session,
uprn=p.uprn
)
# TODO: Insert the pitched roof area into the property class as we store the solar performance
# in the property class
print("Implement me")
# TODO: We can set the pitched roof area based on the results of the solar api!