ny-gov/residential-existing-homes-one-to-four-units-jtrr-tvq4
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Updated 3 years ago
Indexed 5 hours ago

Residential Existing Homes (One to Four Units) Predicted First Year Savings for Energy Efficiency Measures: 2007 – 2012

IMPORTANT! PLEASE READ DISCLAIMER BEFORE USING DATA. This data set includes modeled savings for specific energy efficiency measures by measure category and measure sub-category for a subset of 2007-2012 completed projects in the Residential Existing Homes (One to Four Units) Energy Efficiency Projects with Income-based Incentives by Customer Type: Beginning 2010 (https://data.ny.gov/d/assk-vu73) dataset. It is anticipated that this dataset will be most helpful when used in conjunction with the project-level dataset, Residential Existing Homes (one to Four Units) Energy Efficiency Meter Evaluated Project Data: 2007-2012 (https://data.ny.gov/d/5vqm-4rpf). When used together these datasets backcast estimated measure-level savings and project-level estimated (modeled) savings against normalized savings calculated by an open source energy efficiency meter available at: https://www.openee.io/.

This dataset includes the following data points for a subset of projects completed in 2007-2012: Project ID, Measure ID, Measure Category, Measure Sub-category, Measure Cost ($), Measure Quantity, Measure Life, Measure SIR, Measure Incremental Energy Savings (MMBtu), Measure Estimated Annual Electric Savings (kWh), Measure Estimated Annual Energy Savings (MMBtu), Measure Estimated Annual Natural Gas Savings (MMBtu), Measure Estimated Oil Savings (MMBtu), Measure Estimated Propane Savings (MMBtu), Measure Estimated Coal Savings (MMBtu), Measure Estimated Kerosene Savings (MMBtu), Measure Estimated Pellets Savings (MMBtu), Measure Estimated Wood Savings (MMBtu).

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

Querying over HTTP

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

curl https://data.splitgraph.com/sql/query/ddn \
    -H "Content-Type: application/json" \
    -d@-<<EOF
{"sql": "
    SELECT *
    FROM \"ny-gov/residential-existing-homes-one-to-four-units-jtrr-tvq4\".\"residential_existing_homes_one_to_four_units\"
    LIMIT 100 
"}
EOF

See the Splitgraph documentation for more information.

 
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