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Title: Quantification of fossil fuel CO2 emissions at the building/street scale for a large US city

Journal Article · · Environmental Science & Technology, 46(21):12194-12202
DOI:https://doi.org/10.1021/es3011282· OSTI ID:1054436

In order to advance the scientific understanding of carbon exchange with the land surface, build an effective carbon monitoring system and contribute to quantitatively-based U.S. climate change policy interests, fine spatial and temporal quantification of fossil fuel CO2 emissions, the primary greenhouse gas, is essential. Called the ‘Hestia Project’, this research effort is the first to use bottom-up methods to quantify all fossil fuel CO2 emissions down to the scale of individual buildings, road segments, and industrial/electricity production facilities on an hourly basis for an entire urban landscape. a large city (Indianapolis, Indiana USA). Here, we describe the methods used to quantify the on-site fossil fuel CO2 emissions across the city of Indianapolis, Indiana. This effort combines a series of datasets and simulation tools such as a building energy simulation model, traffic data, power production reporting and local air pollution reporting. The system is general enough to be applied to any large U.S. city and holds tremendous potential as a key component of a carbon monitoring system in addition to enabling efficient greenhouse gas mitigation and planning. We compare our estimate of fossil fuel emissions from natural gas to consumption data provided by the local gas utility. At the zip code level, we achieve a bias adjusted pearson r correlation value of 0.92 (p<0.001).

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-76RL01830
OSTI ID:
1054436
Report Number(s):
PNNL-SA-88707; KP1703030
Journal Information:
Environmental Science & Technology, 46(21):12194-12202, Journal Name: Environmental Science & Technology, 46(21):12194-12202
Country of Publication:
United States
Language:
English