Primary tabs

National Renewable Energy Laboratory

NOTICE The solar and wind data from NREL available on DR POWER is considered a poor choice. NREL now publishes 5 minute solar data from 2018 to present, with much more validation applied to it, so https://nsrdb.nrel.gov/data-sets/us-data may be a better choice.

License

License Not Specified

Other Access

The information on this page (the dataset metadata) is also available in these formats.

JSON RDF

via the DKAN API

DOI Information

No DOI assigned at this time.

Bay Area Synthetic Network

San Francisco Synthetic Network version 0.1

A fully synthetic distribution dataset for San Francisco Bay Area has been created using the U.S. Reference Network Model (RNM-US). It includes urban, sub-urban and rural areas.

The network models seven counties:
· Alameda.
· Contra Costa
· Napa
· San Francisco
· Santa Clara
· Santa Cruz
· Solano

covering an area of 18966 km2. The synthetic network for each area can be visualized using the set of provided GIS files. The base network is provided in Open-DSS format. The Open-DSS files are available at county level, or aggregated in a single file for each type of equipment.

Network summary

Number of buildings 1,702,004
Number of medium voltage buildings 997
Number of low voltage buildings 1,700,982
Number of consumers 2,200,568
Number of medium voltage consumers 5,826
Number of low voltage consumers 2,194,742
Number of buses 3,371,941
Number of electrical nodes 6,973,989
Number of trasmission substations 87
Number of sub-transmission substations 451
Number of distribution Transformers 333,413
Length of power lines (km) 79,267.30
High voltage (sub-transmission) 2,393.90
Medium voltage 31,194.80
Low voltage (secondaries) 45,678.50
Number of feeders 2,388

Development Team:

IIT: Carlos Mateo Domingo, Fernando Postigo, Fernando de Cuadra, Tomás Gómez
NREL: Tarek Elgindy, Nicolas Gensollen, Michael Rossol, Elaine Hale, and Bryan Palmintier
MIT: Pablo Duenas Martinez

Data and Resources

FieldValue
Publisher
Modified
2020-03-17
Release Date
2018-03-02
Identifier
8947f95c-de84-4720-93c5-a6ad32b931b8
License
License Not Specified
Author
Carlos Mateo Domingo
Contact Name
Carlos Mateo Domingo
Contact Email
Public Access Level
Public