Commercial and Residential Hourly Load Data Now Available on OpenEI!

Load data

Image source: NREL

 

I am pleased to announce that simulated hourly residential and commercial building load datasets are now available on OpenEI. These datasets are available for all TMY3 locations in the United States. They contain hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). In addition to various building categories, the simulations also consider variations in building construction due to local climate. The data can be accessed here:

 

http://en.openei.org/datasets/node/961

 

You may browse and download individual load profiles (for example, hourly load profile for a large hotel in Tulsa, Oklahoma). You can also download the entire dataset (beware: 4.8 GB zipped, 19 GB uncompressed!). Building load profiles are useful/essential for a variety of applications, including calculating utility bill savings for rooftop solar systems, demand response analyses, and residential/commercial renewable energy feasibility studies. A few examples of projects and publications that relied on earlier versions of the data include:

 

Impacts of Regional Electricity Prices and Building Type on the Economics of Commercial Photovoltaic Systems

http://www.nrel.gov/docs/fy13osti/56461.pdf

 

Breakeven Prices for Photovoltaics on Supermarkets in the United States

http://www.nrel.gov/docs/fy13osti/57276.pdf

 

Maximizing the Value of Photovoltaic Installations on Schools in California: Choosing the Best Electricity Rates

http://www.nrel.gov/docs/fy11osti/51694.pdf

 

The Impacts of Commercial Electric Utility Rate Structure Elements on the Economics of Photovoltaic Systems

http://www.nrel.gov/docs/fy10osti/46782.pdf

 

Special thanks goes to Nathan Clark, who has been working on these datasets for over a year! Nathan has also developed a System Advisor Model (SAM) program that allows users to automatically download appropriate load profiles directly into SAM for analysis and visualization. I’ve attached the program to this post, in case anyone would like to use it (you may need to download the latest SAM version to use it).  This program will also be included in the next public release of SAM (as a sample samUL file). 

 

Questions and comments are always welcome below!

Comments

Bazouing

Residential 8760hr load per TMY zone

Hi, 

I am wondering what kind of residential building the loads are calculated for in the commercial and residential load data.

Size?

Nr of rooms?

etc

Thank you for your help!

 

Ewilson

The OpenEI page says "This

The OpenEI page says "This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location," so I would guess that the average size, number of bedrooms, foundation type, etc. according to RECS was used for each climate.