As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Types for Google Maps Solar v1 API

class google.maps.solar_v1.types.BuildingInsights(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Response message for Solar.FindClosestBuildingInsights. Information about the location, dimensions, and solar potential of a building.

name

The resource name for the building, of the format building/<place ID>.

Type

str

center

A point near the center of the building.

Type

google.type.latlng_pb2.LatLng

bounding_box

The bounding box of the building.

Type

google.maps.solar_v1.types.LatLngBox

imagery_date

Date that the underlying imagery was acquired. This is approximate.

Type

google.type.date_pb2.Date

imagery_processed_date

When processing was completed on this imagery.

Type

google.type.date_pb2.Date

postal_code

Postal code (e.g., US zip code) this building is contained by.

Type

str

administrative_area

Administrative area 1 (e.g., in the US, the state) that contains this building. For example, in the US, the abbreviation might be “MA” or “CA.”.

Type

str

statistical_area

Statistical area (e.g., US census tract) this building is in.

Type

str

region_code

Region code for the country (or region) this building is in.

Type

str

solar_potential

Solar potential of the building.

Type

google.maps.solar_v1.types.SolarPotential

imagery_quality

The quality of the imagery used to compute the data for this building.

Type

google.maps.solar_v1.types.ImageryQuality

class google.maps.solar_v1.types.CashPurchaseSavings(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Cost and benefit of an outright purchase of a particular configuration of solar panels with a particular electricity usage.

out_of_pocket_cost

Initial cost before tax incentives: the amount that must be paid out-of-pocket. Contrast with upfront_cost, which is after tax incentives.

Type

google.type.money_pb2.Money

upfront_cost

Initial cost after tax incentives: it’s the amount that must be paid during first year. Contrast with out_of_pocket_cost, which is before tax incentives.

Type

google.type.money_pb2.Money

rebate_value

The value of all tax rebates.

Type

google.type.money_pb2.Money

payback_years

Number of years until payback occurs. A negative value means payback never occurs within the lifetime period.

This field is a member of oneof _payback_years.

Type

float

savings

How much is saved (or not) over the lifetime period.

Type

google.maps.solar_v1.types.SavingsOverTime

class google.maps.solar_v1.types.DataLayerView(value)

Bases: proto.enums.Enum

What subset of the solar information to return.

Values:

DATA_LAYER_VIEW_UNSPECIFIED (0):

Equivalent to FULL.

DSM_LAYER (1):

Get the DSM only.

IMAGERY_LAYERS (2):

Get the DSM, RGB, and mask.

IMAGERY_AND_ANNUAL_FLUX_LAYERS (3):

Get the DSM, RGB, mask, and annual flux.

IMAGERY_AND_ALL_FLUX_LAYERS (4):

Get the DSM, RGB, mask, annual flux, and monthly flux.

FULL_LAYERS (5):

Get all data.

class google.maps.solar_v1.types.DataLayers(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Information about the solar potential of a region. The actual data are contained in a number of GeoTIFF files covering the requested region, for which this message contains URLs: Each string in the DataLayers message contains a URL from which the corresponding GeoTIFF can be fetched. These URLs are valid for a few hours after they’ve been generated. Most of the GeoTIFF files are at a resolution of 0.1m/pixel, but the monthly flux file is at 0.5m/pixel, and the hourly shade files are at 1m/pixel. If a pixel_size_meters value was specified in the GetDataLayersRequest, then the minimum resolution in the GeoTIFF files will be that value.

imagery_date

When the source imagery (from which all the other data are derived) in this region was taken. It is necessarily somewhat approximate, as the images may have been taken over more than one day.

Type

google.type.date_pb2.Date

imagery_processed_date

When processing was completed on this imagery.

Type

google.type.date_pb2.Date

dsm_url

The URL for an image of the DSM (Digital Surface Model) of the region. Values are in meters above EGM96 geoid (i.e., sea level). Invalid locations (where we don’t have data) are stored as -9999.

Type

str

rgb_url

The URL for an image of RGB data (aerial photo) of the region.

Type

str

mask_url

The URL for the building mask image: one bit per pixel saying whether that pixel is considered to be part of a rooftop or not.

Type

str

annual_flux_url

The URL for the annual flux map (annual sunlight on roofs) of the region. Values are kWh/kW/year. This is unmasked flux: flux is computed for every location, not just building rooftops. Invalid locations are stored as -9999: locations outside our coverage area will be invalid, and a few locations inside the coverage area, where we were unable to calculate flux, will also be invalid.

Type

str

monthly_flux_url

The URL for the monthly flux map (sunlight on roofs, broken down by month) of the region. Values are kWh/kW/year. The GeoTIFF pointed to by this URL will contain twelve bands, corresponding to January…December, in order.

Type

str

hourly_shade_urls

Twelve URLs for hourly shade, corresponding to January…December, in order. Each GeoTIFF will contain 24 bands, corresponding to the 24 hours of the day. Each pixel is a 32 bit integer, corresponding to the (up to) 31 days of that month; a 1 bit means that the corresponding location is able to see the sun at that day, of that hour, of that month. Invalid locations are stored as -9999 (since this is negative, it has bit 31 set, and no valid value could have bit 31 set as that would correspond to the 32nd day of the month).

An example may be useful. If you want to know whether a point (at pixel location (x, y)) saw sun at 4pm on the 22nd of June you would:

1. fetch the sixth URL in this list (corresponding to June).

2. look up the 17th channel (corresponding to 4pm).

3. read the 32-bit value at (x, y).

4. read bit 21 of the value (corresponding to the 22nd of the month).

5. if that bit is a 1, then that spot saw the sun at 4pm 22 June.

More formally: Given month (1-12), day (1…month max; February has 28 days) and hour (0-23), the shade/sun for that month/day/hour at a position (x, y) is the bit

(hourly_shade[month - 1])(x, y)[hour] & (1 << (day - 1))

where (x, y) is spatial indexing, [month - 1] refers to fetching the month - 1st URL (indexing from zero), [hour] is indexing into the channels, and a final non-zero result means “sunny”. There are no leap days, and DST doesn’t exist (all days are 24 hours long; noon is always “standard time” noon).

Type

MutableSequence[str]

imagery_quality

The quality of the result’s imagery.

Type

google.maps.solar_v1.types.ImageryQuality

class google.maps.solar_v1.types.FinancedPurchaseSavings(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Cost and benefit of using a loan to buy a particular configuration of solar panels with a particular electricity usage.

annual_loan_payment

Annual loan payments.

Type

google.type.money_pb2.Money

rebate_value

The value of all tax rebates (including Federal Investment Tax Credit (ITC)).

Type

google.type.money_pb2.Money

loan_interest_rate

The interest rate on loans assumed in this set of calculations.

Type

float

savings

How much is saved (or not) over the lifetime period.

Type

google.maps.solar_v1.types.SavingsOverTime

class google.maps.solar_v1.types.FinancialAnalysis(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Analysis of the cost and benefits of the optimum solar layout for a particular electric bill size.

monthly_bill

The monthly electric bill this analysis assumes.

Type

google.type.money_pb2.Money

default_bill

Whether this is the bill size selected to be the default bill for the area this building is in. Exactly one FinancialAnalysis in BuildingSolarPotential should have default_bill set.

Type

bool

average_kwh_per_month

How much electricity the house uses in an average month, based on the bill size and the local electricity rates.

Type

float

panel_config_index

Index in [solar_panel_configs] [google.maps.solar.v1.SolarPotential.solar_panel_configs] of the optimum solar layout for this bill size. This can be -1 indicating that there is no layout. In this case, the remaining submessages will be omitted.

This field is a member of oneof _panel_config_index.

Type

int

financial_details

Financial information that applies regardless of the financing method used.

Type

google.maps.solar_v1.types.FinancialDetails

leasing_savings

Cost and benefit of leasing the solar panels.

Type

google.maps.solar_v1.types.LeasingSavings

cash_purchase_savings

Cost and benefit of buying the solar panels with cash.

Type

google.maps.solar_v1.types.CashPurchaseSavings

financed_purchase_savings

Cost and benefit of buying the solar panels by financing the purchase.

Type

google.maps.solar_v1.types.FinancedPurchaseSavings

class google.maps.solar_v1.types.FinancialDetails(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Details of a financial analysis. Some of these details are already stored at higher levels (e.g., out of pocket cost). Total money amounts are over a lifetime period defined by the [panel_lifetime_years] [google.maps.solar.v1.SolarPotential.panel_lifetime_years] field in [SolarPotential] [google.maps.solar.v1.SolarPotential]. Note: The out of pocket cost of purchasing the panels is given in the [out_of_pocket_cost] [google.maps.solar.v1.CashPurchaseSavings.out_of_pocket_cost] field in [CashPurchaseSavings] [google.maps.solar.v1.CashPurchaseSavings].

initial_ac_kwh_per_year

How many AC kWh we think the solar panels will generate in their first year.

Type

float

remaining_lifetime_utility_bill

Utility bill for electricity not produced by solar, for the lifetime of the panels.

Type

google.type.money_pb2.Money

federal_incentive

Amount of money available from federal incentives; this applies if the user buys (with or without a loan) the panels.

Type

google.type.money_pb2.Money

state_incentive

Amount of money available from state incentives; this applies if the user buys (with or without a loan) the panels.

Type

google.type.money_pb2.Money

utility_incentive

Amount of money available from utility incentives; this applies if the user buys (with or without a loan) the panels.

Type

google.type.money_pb2.Money

lifetime_srec_total

Amount of money the user will receive from Solar Renewable Energy Credits over the panel lifetime; this applies if the user buys (with or without a loan) the panels.

Type

google.type.money_pb2.Money

cost_of_electricity_without_solar

Total cost of electricity the user would have paid over the lifetime period if they didn’t install solar.

Type

google.type.money_pb2.Money

net_metering_allowed

Whether net metering is allowed.

Type

bool

solar_percentage

Percentage (0-100) of the user’s power supplied by solar. Valid for the first year but approximately correct for future years.

This field is a member of oneof _solar_percentage.

Type

float

percentage_exported_to_grid

The percentage (0-100) of solar electricity production we assumed was exported to the grid, based on the first quarter of production. This affects the calculations if net metering is not allowed.

This field is a member of oneof _percentage_exported_to_grid.

Type

float

class google.maps.solar_v1.types.FindClosestBuildingInsightsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Request message for Solar.FindClosestBuildingInsights.

location

Required. The longitude and latitude from which the API looks for the nearest known building.

Type

google.type.latlng_pb2.LatLng

required_quality

Optional. The minimum quality level allowed in the results. No result with lower quality than this will be returned. Not specifying this is equivalent to restricting to HIGH quality only.

Type

google.maps.solar_v1.types.ImageryQuality

exact_quality_required

Optional. Whether to require exact quality of the imagery. If set to false, the required_quality field is interpreted as the minimum required quality, such that HIGH quality imagery may be returned when required_quality is set to MEDIUM. If set to true, required_quality is interpreted as the exact required quality and only MEDIUM quality imagery is returned if required_quality is set to MEDIUM.

Type

bool

class google.maps.solar_v1.types.GetDataLayersRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Request message for Solar.GetDataLayers.

location

Required. The longitude and latitude for the center of the region to get data for.

Type

google.type.latlng_pb2.LatLng

radius_meters

Required. The radius, in meters, defining the region surrounding that centre point for which data should be returned. The limitations on this value are:

• Any value up to 100m can always be specified.

• Values over 100m can be specified, as long as radius_meters <= pixel_size_meters * 1000.

• However, for values over 175m, the DataLayerView in the request must not include monthly flux or hourly shade.

Type

float

view

Optional. The desired subset of the data to return.

Type

google.maps.solar_v1.types.DataLayerView

required_quality

Optional. The minimum quality level allowed in the results. No result with lower quality than this will be returned. Not specifying this is equivalent to restricting to HIGH quality only.

Type

google.maps.solar_v1.types.ImageryQuality

pixel_size_meters

Optional. The minimum scale, in meters per pixel, of the data to return. Values of 0.1 (the default, if this field is not set explicitly), 0.25, 0.5, and 1.0 are supported. Imagery components whose normal resolution is less than pixel_size_meters will be returned at the resolution specified by pixel_size_meters; imagery components whose normal resolution is equal to or greater than pixel_size_meters will be returned at that normal resolution.

Type

float

exact_quality_required

Optional. Whether to require exact quality of the imagery. If set to false, the required_quality field is interpreted as the minimum required quality, such that HIGH quality imagery may be returned when required_quality is set to MEDIUM. If set to true, required_quality is interpreted as the exact required quality and only MEDIUM quality imagery is returned if required_quality is set to MEDIUM.

Type

bool

class google.maps.solar_v1.types.GetGeoTiffRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Request message for Solar.GetGeoTiff.

id

Required. The ID of the asset being requested.

Type

str

class google.maps.solar_v1.types.ImageryQuality(value)

Bases: proto.enums.Enum

The quality of the imagery used to compute some API result.

Note: Regardless of imagery quality level, DSM outputs always have a resolution of 0.1 m/pixel, monthly flux outputs always have a resolution of 0.5 m/pixel, and hourly shade outputs always have a resolution of 1 m/pixel.

Values:

IMAGERY_QUALITY_UNSPECIFIED (0):

No quality is known.

HIGH (1):

The underlying imagery and DSM data were processed at 0.1 m/pixel.

MEDIUM (2):

The underlying imagery and DSM data were processed at 0.25 m/pixel.

LOW (3):

The underlying imagery and DSM data were processed at 0.5 m/pixel.

class google.maps.solar_v1.types.LatLngBox(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

A bounding box in lat/lng coordinates.

sw

The southwest corner of the box.

Type

google.type.latlng_pb2.LatLng

ne

The northeast corner of the box.

Type

google.type.latlng_pb2.LatLng

class google.maps.solar_v1.types.LeasingSavings(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Cost and benefit of leasing a particular configuration of solar panels with a particular electricity usage.

leases_allowed

Whether leases are allowed in this juristiction (leases are not allowed in some states). If this field is false, then the values in this message should probably be ignored.

Type

bool

leases_supported

Whether leases are supported in this juristiction by the financial calculation engine. If this field is false, then the values in this message should probably be ignored. This is independent of leases_allowed: in some areas leases are allowed, but under conditions that aren’t handled by the financial models.

Type

bool

annual_leasing_cost

Estimated annual leasing cost.

Type

google.type.money_pb2.Money

savings

How much is saved (or not) over the lifetime period.

Type

google.maps.solar_v1.types.SavingsOverTime

class google.maps.solar_v1.types.RoofSegmentSizeAndSunshineStats(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Information about the size and sunniness quantiles of a roof segment.

pitch_degrees

Angle of the roof segment relative to the theoretical ground plane. 0 = parallel to the ground, 90 = perpendicular to the ground.

This field is a member of oneof _pitch_degrees.

Type

float

azimuth_degrees

Compass direction the roof segment is pointing in. 0 = North, 90 = East, 180 = South. For a “flat” roof segment (pitch_degrees very near 0), azimuth is not well defined, so for consistency, we define it arbitrarily to be 0 (North).

This field is a member of oneof _azimuth_degrees.

Type

float

stats

Total size and sunlight quantiles for the roof segment.

Type

google.maps.solar_v1.types.SizeAndSunshineStats

center

A point near the center of the roof segment.

Type

google.type.latlng_pb2.LatLng

bounding_box

The bounding box of the roof segment.

Type

google.maps.solar_v1.types.LatLngBox

plane_height_at_center_meters

The height of the roof segment plane, in meters above sea level, at the point designated by center. Together with the pitch, azimuth, and center location, this fully defines the roof segment plane.

This field is a member of oneof _plane_height_at_center_meters.

Type

float

class google.maps.solar_v1.types.RoofSegmentSummary(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Information about a roof segment on the building, with some number of panels placed on it.

pitch_degrees

Angle of the roof segment relative to the theoretical ground plane. 0 = parallel to the ground, 90 = perpendicular to the ground.

This field is a member of oneof _pitch_degrees.

Type

float

azimuth_degrees

Compass direction the roof segment is pointing in. 0 = North, 90 = East, 180 = South. For a “flat” roof segment (pitch_degrees very near 0), azimuth is not well defined, so for consistency, we define it arbitrarily to be 0 (North).

This field is a member of oneof _azimuth_degrees.

Type

float

panels_count

The total number of panels on this segment.

Type

int

yearly_energy_dc_kwh

How much sunlight energy this part of the layout captures over the course of a year, in DC kWh, assuming the panels described above.

Type

float

segment_index

Index in [roof_segment_stats] [google.maps.solar.v1.SolarPotential.roof_segment_stats] of the corresponding RoofSegmentSizeAndSunshineStats.

This field is a member of oneof _segment_index.

Type

int

class google.maps.solar_v1.types.SavingsOverTime(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Financial information that’s shared between different financing methods.

savings_year1

Savings in the first year after panel installation.

Type

google.type.money_pb2.Money

savings_year20

Savings in the first twenty years after panel installation.

Type

google.type.money_pb2.Money

present_value_of_savings_year20

Using the assumed discount rate, what is the present value of the cumulative 20-year savings?

Type

google.type.money_pb2.Money

savings_lifetime

Savings in the entire panel lifetime.

Type

google.type.money_pb2.Money

present_value_of_savings_lifetime

Using the assumed discount rate, what is the present value of the cumulative lifetime savings?

Type

google.type.money_pb2.Money

financially_viable

Indicates whether this scenario is financially viable. Will be false for scenarios with poor financial viability (e.g., money-losing).

Type

bool

class google.maps.solar_v1.types.SizeAndSunshineStats(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Size and sunniness quantiles of a roof, or part of a roof.

area_meters2

The area of the roof or roof segment, in m^2. This is the roof area (accounting for tilt), not the ground footprint area.

Type

float

sunshine_quantiles

Quantiles of the pointwise sunniness across the area. If there are N values here, this represents the (N-1)-iles. For example, if there are 5 values, then they would be the quartiles (min, 25%, 50%, 75%, max). Values are in annual kWh/kW like [max_sunshine_hours_per_year] [google.maps.solar.v1.SolarPotential.max_sunshine_hours_per_year].

Type

MutableSequence[float]

ground_area_meters2

The ground footprint area covered by the roof or roof segment, in m^2.

Type

float

class google.maps.solar_v1.types.SolarPanel(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

SolarPanel describes the position, orientation, and production of a single solar panel. See the [panel_height_meters] [google.maps.solar.v1.SolarPotential.panel_height_meters], [panel_width_meters] [google.maps.solar.v1.SolarPotential.panel_width_meters], and [panel_capacity_watts] [google.maps.solar.v1.SolarPotential.panel_capacity_watts] fields in [SolarPotential] [google.maps.solar.v1.SolarPotential] for information on the parameters of the panel.

center

The centre of the panel.

Type

google.type.latlng_pb2.LatLng

orientation

The orientation of the panel.

Type

google.maps.solar_v1.types.SolarPanelOrientation

yearly_energy_dc_kwh

How much sunlight energy this layout captures over the course of a year, in DC kWh.

Type

float

segment_index

Index in [roof_segment_stats] [google.maps.solar.v1.SolarPotential.roof_segment_stats] of the RoofSegmentSizeAndSunshineStats which corresponds to the roof segment that this panel is placed on.

This field is a member of oneof _segment_index.

Type

int

class google.maps.solar_v1.types.SolarPanelConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

SolarPanelConfig describes a particular placement of solar panels on the roof.

panels_count

Total number of panels. Note that this is redundant to (the sum of) the corresponding fields in [roof_segment_summaries] [google.maps.solar.v1.SolarPanelConfig.roof_segment_summaries].

Type

int

yearly_energy_dc_kwh

How much sunlight energy this layout captures over the course of a year, in DC kWh, assuming the panels described above.

Type

float

roof_segment_summaries

Information about the production of each roof segment that is carrying at least one panel in this layout. roof_segment_summaries[i] describes the i-th roof segment, including its size, expected production and orientation.

Type

MutableSequence[google.maps.solar_v1.types.RoofSegmentSummary]

class google.maps.solar_v1.types.SolarPanelOrientation(value)

Bases: proto.enums.Enum

The orientation of a solar panel. This must be interpreted relative to the azimuth of the roof segment that the panel is placed on.

Values:

SOLAR_PANEL_ORIENTATION_UNSPECIFIED (0):

No panel orientation is known.

LANDSCAPE (1):

A LANDSCAPE panel has its long edge perpendicular to the azimuth direction of the roof segment that it is placed on.

PORTRAIT (2):

A PORTRAIT panel has its long edge parallel to the azimuth direction of the roof segment that it is placed on.

class google.maps.solar_v1.types.SolarPotential(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: proto.message.Message

Information about the solar potential of a building. A number of fields in this are defined in terms of “panels”. The fields [panel_capacity_watts] [google.maps.solar.v1.SolarPotential.panel_capacity_watts], [panel_height_meters] [google.maps.solar.v1.SolarPotential.panel_height_meters], and [panel_width_meters] [google.maps.solar.v1.SolarPotential.panel_width_meters] describe the parameters of the model of panel used in these calculations.

max_array_panels_count

Size of the maximum array - that is, the maximum number of panels that can fit on the roof.

Type

int

panel_capacity_watts

Capacity, in watts, of the panel used in the calculations.

Type

float

panel_height_meters

Height, in meters in portrait orientation, of the panel used in the calculations.

Type

float

panel_width_meters

Width, in meters in portrait orientation, of the panel used in the calculations.

Type

float

panel_lifetime_years

The expected lifetime, in years, of the solar panels. This is used in the financial calculations.

Type

int

max_array_area_meters2

Size, in square meters, of the maximum array.

Type

float

max_sunshine_hours_per_year

Maximum number of sunshine hours received per year, by any point on the roof. Sunshine hours are a measure of the total amount of insolation (energy) received per year. 1 sunshine hour = 1 kWh per kW (where kW refers to kW of capacity under Standard Testing Conditions).

Type

float

carbon_offset_factor_kg_per_mwh

Equivalent amount of CO2 produced per MWh of grid electricity. This is a measure of the carbon intensity of grid electricity displaced by solar electricity.

Type

float

whole_roof_stats

Total size and sunlight quantiles for the part of the roof that was assigned to some roof segment. Despite the name, this may not include the entire building. See [building_stats] [google.maps.solar.v1.SolarPotential.building_stats].

Type

google.maps.solar_v1.types.SizeAndSunshineStats

building_stats

Size and sunlight quantiles for the entire building, including parts of the roof that were not assigned to some roof segment. Because the orientations of these parts are not well characterised, the roof area estimate is unreliable, but the ground area estimate is reliable. It may be that a more reliable whole building roof area can be obtained by scaling the roof area from [whole_roof_stats] [google.maps.solar.v1.SolarPotential.whole_roof_stats] by the ratio of the ground areas of building_stats and whole_roof_stats.

Type

google.maps.solar_v1.types.SizeAndSunshineStats

roof_segment_stats

Size and sunlight quantiles for each roof segment.

Type

MutableSequence[google.maps.solar_v1.types.RoofSegmentSizeAndSunshineStats]

solar_panels

Each [SolarPanel] [google.maps.solar.v1.SolarPanel] describes a single solar panel. They are listed in the order that the panel layout algorithm placed this. This is usually, though not always, in decreasing order of annual energy production.

Type

MutableSequence[google.maps.solar_v1.types.SolarPanel]

solar_panel_configs

Each [SolarPanelConfig] [google.maps.solar.v1.SolarPanelConfig] describes a different arrangement of solar panels on the roof. They are in order of increasing number of panels. The SolarPanelConfig with [panels_count] [google.maps.solar.v1.SolarPanelConfig.panels_count]=N is based on the first N panels in the solar_panels list. This field is only populated if at least 4 panels can fit on a roof.

Type

MutableSequence[google.maps.solar_v1.types.SolarPanelConfig]

financial_analyses

A [FinancialAnalysis] [google.maps.solar.v1.FinancialAnalysis] gives the savings from going solar assuming a given monthly bill and a given electricity provider. They are in order of increasing order of monthly bill amount. This field will be empty for buildings in areas for which the Solar API does not have enough information to perform financial computations.

Type

MutableSequence[google.maps.solar_v1.types.FinancialAnalysis]