usaid-gov/building-energy-performance-survey-data-ysq6-gikg
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Updated 4 years ago
Indexed 1 month ago

Building Energy Performance Survey Data

One of the specific objectives of the USAID/Vietnam Clean Energy Program is to develop a comprehensive database of buildings in collaboration with the Departments of Constructions in five cities to identify almost all larger buildings (with Gross Floor Area GFA equal to or greater than 2,500 m2) that have been constructed during the last 10 years (building stock). The Building Stock Sample contains some 1,400 large buildings of all categories and representative of 3 typical climate zones:

• Northern zone (Hanoi & Hai Phong cities): 490 buildings

• Central zone (Danang city): 316 buildings

• Southern zone (Ho Chi Minh and Can Tho cities): 623 buildings

The stock data contains basic information for each building, including building type, year built, total floor area; many buildings contain extra information such as number of stories, number of lifts, type and size of electric generator, etc. For the detailed building energy performance survey, the Program’s approach is to randomly select 280 buildings (20%) from Departments of Construction sample stocks of buildings for a detailed survey. For the credibility of collected data, surveyed buildings must be statistically representative of each climate zone and building type/size category. For each climate zone, the optimal sample size will contain at least five buildings in each of the building categories. All data went through a third party quality assurance check.

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 \"usaid-gov/building-energy-performance-survey-data-ysq6-gikg\".\"building_energy_performance_survey_data\"
    LIMIT 100 
"}
EOF

See the Splitgraph documentation for more information.

 
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