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Tim Marchese

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The post installation usage = 1950 kWh

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Related Information 

  • Basic home information:

    • size – square footage

    • number of stories

    • age

    • number of occupants

    • times mostly occupied (e.g., evenings/weekends)

    • vacation times – monthly, seasonally, annually

    • insulation level

    • window pane information

  • EV information

    • make and model

    • miles driven per day 

  • Natural gas consumption (if applicable) – therms 

  • Applicable energy efficiency incentives to be included in savings projections

Note: not all EnergyStar datasets contain information about the american standard of consumption/usage. 

Calculation Methods

For each hour at a specific location, we want to estimate how much energy is used by the homeowner for an equipment type. Then we want to estimate the reduction in usage the homeowner would see from upgrading their equipment.

Typical Load Breakdown

Get the typical hourly shape of usage by type (AC, Heating, Lighting, etc.) as a percentage of all usage

  • TMY Typical

  • Explore other datasets (PSM3/NSRB??)

  • What are the exact equipment/usage categories we need?

    • This dataset might not have them

    • If they dont we need to find typical profiles somewhere else or generate them ourselves

  • Store data in Solar DB for each station

Equipment Specific Reduction

Get estimated % reduction in equipment type specific usage from upgrading to specific equipment (i.e. A typical older model uses 1250kWh/yr and with the LG 2018 29.7 Cu Ft fridge you would now use 500kWh/yr, so the reduction for that piece of equipment is 60%.

ENERGY STAR Unique ID

Brand Name

Model Number

Annual Energy Use (kWh/yr)

US Federal Standard (kWh/yr)

% Better than US Federal Standard (kWh/yr)

Energy Factor (EF)

2253929

Beko

DUT28430*

225

307

27


2302468

Bertazzoni

DW18PR

234

307

24


  • Use % Better than US Federal Standard (kWh/yr) (or Energy Factor?)

  • Stored on Equipment with other data in django on Efficiency Equipment model (webapp.apps.equipment.models)

  • Allows us to calculate the new category specific usage by scaling the 8760 category-specific usage profile using the % reduction from the typical equipment.

  • Similarly, we will store the usage amount, so we have more flexibility to alter out baseline, etc. in our calculations

DETAILS

Required Inputs:

  • 8760 usage profile

  • Energy efficient product

  • Homeowner persona

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