About five years ago (I’m too lazy to look it up right now), the City of Chicago adopted an energy benchmarking law. This means that owners of buildings of a certain size would soon be required to report how much energy (electricity, natural gas, district steam, chilled water, and other fuels) their buildings use. Every few years they have to audit their reports.
The city has posted three years of energy reports for the “covered” buildings (the ones of a certain size) on its data portal. I copied the Chicago Energy Benchmarking dataset into the Chicago Cityscape database (for future features) and then loaded it into QGIS so I could analyze the data and find the least efficient buildings in Chicago.
The dataset has all three years so I started the analysis by filtering only for the latest year, 2016. I first visualized the data using the “ghg_intensity_kg_co2e_sq_ft” column, which is “greenhouse gas intensity, measured in kilograms of carbon dioxide equivalent per square foot”. In other words, how much carbon does the building cause to be emitted based on its energy usage and normalized by its size.
In QGIS, to symbolize this kind of quantitative data, it helps to show them in groups. Here are “small fry” emitters, medium emitters, and bad emitters. I used the “Graduated” option in the Symbology setting and chose the Natural Breaks (Jenks) mode of dividing the greenhouse gas intensity values into four groups.
There are four groups, divided using the Natural Breaks (Jenks) method. There’s only one building in the “worst” energy users group, which is Salem Baptist Church, marked by a large red dot. The darker red the dot, the more energy per square foot that building consumes.
Among the four groups, only one building in Chicago that reported in 2016 was in the “worst emitters” group: Salem Baptist Church of Chicago at 10909 S Cottage Grove Avenue in Pullman.
The Salem Baptist Church building was built in 1960, has a gross floor area of 91,800 square feet, and an Energy Star rating of 1 because it emits 304.6 kilograms of carbon dioxide equivalent per square foot (kgco2esf). (The Energy Star rating scale is from 1 to 100.)
The next “worse” emitter in the same “Worship Facility” category as Salem Baptist Church is several magnitudes of order lower. That’s St. Peter’s Church at 110 W Madison Street in the Loop, built in 1900, which emits 11.7 kilograms of carbon dioxide equivalent per square foot (but which also has an Energy Star rating of 1).
The vast difference is concerning: Did the church report its energy usage correctly, or are they not maintaining their HVAC equipment or the building and it’s leaking so much air?
A different building was in the “worst” emitter category in 2015 but improved something about the building by 2016 to use a lot less energy. Looking deeper at the data for Piper’s Alley, however, something else happened.
In 2015, Piper’s Alley reported a single building with 137,176 gross square feet of floor area. The building’s owner also reported 5,869,902 kBTUs of electricity usage and 1,099,712,681 kBTUs of natural gas usage. Since these are reported in kilo-BTUs that means that you multiply each number by 1,000. Piper’s Alley reported using 1 trillion BTUs of natural gas. Which seems like an insane amount of energy usage, but could be totally reasonable – I’m not familiar with data on how much energy a “typical” large building uses.
Piper’s Alley in Old Town is the building that reported two different floor areas and vastly different energy usage in 2015 and 2016. The building’s owner didn’t report data for 2014 (although it may not have been required to).
There’s another problem with the reporting for Piper’s Alley, however: For 2016, it reported a gross floor area of 217,250 square feet, which is 36 percent larger than the area it reported in 2015. The building reported using significantly more electricity (58 percent more) and significantly less natural gas (137 percent less), for a vastly lowered kgco2esf value.
I think the energy benchmarking data set needs more eyes on it. Discuss in the comments below, or reply to my Twitter thread.