Baselight

Statewide Commercial Baseline Study Of New York Means Of Energy Using Equipment: 2019

State of New York

@usgov.state_of_new_york_statewide_commercial_baseline_study__e8a3d75f

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About this Dataset

Statewide Commercial Baseline Study Of New York Means Of Energy Using Equipment: 2019

The overall objective of the Statewide Commercial Baseline research was to understand the existing commercial building stock in New York State and associated energy use, including the means of energy using equipment. This dataset provides all characteristics that are presented as averages, such as the average square footage of businesses or the average cooling capacity of split systems. All supporting summary statistics are also provided. For more information, see the Final Report at https://www.nyserda.ny.gov/About/Publications/Building-Stock-and-Potential-Studies/Commercial-Statewide-Baseline-Study

NYSERDA offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and accelerate economic growth. reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.
Organization: State of New York
Last updated: 2021-08-06T15:25:11.838158
Tags: baseline-study, business-characteristics, cbsa, commercial, commercial-building-stock-assessment, commercial-buildings, efficiency, energy, environment, equipment-characteristics, market-research, mw, mwh, penetration, saturation, scbs

Tables

Table 1

@usgov.state_of_new_york_statewide_commercial_baseline_study__e8a3d75f.table_1
  • 1.08 MB
  • 54004 rows
  • 15 columns
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CREATE TABLE table_1 (
  "survey_type" VARCHAR,
  "region" VARCHAR,
  "segment" VARCHAR,
  "usage_category" VARCHAR,
  "end_use_category" VARCHAR,
  "question" VARCHAR,
  "equipment_category" VARCHAR,
  "question_response" VARCHAR,
  "means_variable_label" VARCHAR,
  "valid_n_respondents" BIGINT,
  "valid_quantity" DOUBLE,
  "unweighted_mean" DOUBLE,
  "weighted_mean" DOUBLE,
  "weighted_and_adjusted_mean" DOUBLE,
  "standard_error_of_weighted_mean" DOUBLE
);

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