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Savings Methodology

Last Updated: March 18, 2026  ·  Questions: info@homeshark.ai

This document explains how HomeShark calculates energy savings estimates, efficiency scores, neighbor comparisons, and solar projections. All estimates are models based on publicly available data — they are not guarantees of actual savings. See our Terms of Service for full disclaimers.

Data Sources

Data TypeSourceNotes
Property characteristics (sqft, year built, stories, HVAC, roof)ATTOM Data SolutionsPublic property records; may lag recent renovations
Solar potential, roof area, peak sun hoursGoogle Solar APIBased on satellite imagery and irradiance modeling
Street view photographyGoogle Street ViewFalls back to satellite imagery if street view unavailable
Geocoding and address validationGoogle Geocoding API
Utility bill dataUser-uploaded (optional)Extracted via Anthropic Claude AI; bill deleted after processing
Regional electricity ratesEIA (Energy Information Administration)State-level averages updated annually
Federal tax credit amountsIRS guidance, IRA legislationReflects law as of effective date; subject to change
State rebate programsDSIRE (Database of State Incentives for Renewables)Updated periodically; verify current amounts with providers

Efficiency Score (0–100)

The HomeShark Efficiency Score is a composite index from 0 to 100, where 100 represents a home using energy at maximum efficiency. It is calculated as:

Score = 100 × (1 − relative_usage_penalty) × age_factor × solar_opportunity_factor

The score is an estimate. A professional energy audit by a BPI- or RESNET-certified auditor will produce a more accurate assessment.

Monthly kWh Estimation (when no bill is uploaded)

When no utility bill is provided, monthly energy usage is estimated using:

Estimated kWh = (square_footage × regional_intensity_factor) + heating_adjustment + cooling_adjustment

When an actual bill is uploaded, the extracted kWh figure replaces this estimate entirely, making all downstream calculations significantly more accurate.

Solar Savings Calculation

System Size

Maximum system size is determined by Google Solar API's maxArrayPanelsCount and roof area measurements. We model a system using standard 400W panels.

system_kW = panel_count × 0.4 kW per panel

Annual Energy Production

Google Solar API provides yearlyEnergyDcKwh for the maximum panel configuration. We apply a standard 80% performance ratio to account for inverter losses, wiring losses, and temperature derating:

annual_kWh_produced = yearlyEnergyDcKwh × 0.80

Annual Dollar Savings

annual_savings = annual_kWh_produced × local_rate_per_kWh

This assumes full net metering (1:1 credit for exported power). Many utilities offer full net metering, but policies vary and are subject to change. Homes with battery storage may see different outcomes.

Federal Tax Credit

The 30% Investment Tax Credit (ITC) under IRA Section 25D is applied to the estimated gross installation cost:

federal_credit = install_cost × 0.30

Installation cost is estimated at $2,800 per kW of system size, based on NREL benchmark data for residential solar (2024). Actual prices vary by market, installer, and system design.

Important: The ITC is a non-refundable tax credit. You must have sufficient federal tax liability to use it. Excess credit may be carried forward one year. Consult a tax professional.

Payback Period

payback_years = (install_cost − federal_credit) ÷ annual_savings

This is a simple payback calculation. It does not account for loan financing costs, utility rate escalation, system degradation, or state incentives (which would shorten payback). A full financial model from a licensed installer will be more accurate.

Neighbor Comparison

The "vs. Neighbors" percentage compares your estimated (or actual) monthly kWh usage to the estimated average for similar homes in your ZIP code. "Similar" is defined as homes within 20% of your square footage and built within 15 years of your home's year built.

This comparison uses EIA RECS data segmented by state, home size, and construction era. It is a statistical comparison, not a direct measurement of your specific neighbors' usage.

Recommendation Savings Estimates

RecommendationSavings BasisSource
Solar panelsAnnual production × local rateGoogle Solar API + EIA rates
Heat pump / HVAC upgrade~18–25% reduction in HVAC energy cost based on home size and existing system typeENERGY STAR, DOE HVAC studies
Attic/wall insulation~15–20% reduction in heating/cooling costsDOE Building Technologies Office
Smart thermostat~8% heating, ~10% cooling savingsENERGY STAR program data
EV chargerAvoided Level 1 charging costs + public charging premiumDOE Alternative Fuels Data Center
Windows~7–15% reduction in heating/cooling based on climate zoneENERGY STAR window savings estimates
Air sealing~11% reduction in heating/cooling costsDOE Building Technologies Office

Limitations and Caveats

How to Get a More Accurate Assessment

For a professional-grade energy audit, we recommend:

HomeShark's quote request feature can connect you with licensed local installers in all these categories.