Fang Ren, Ph.D.
Mark P. Kumler, Ph.D.
Carbon dioxide is a major greenhouse gas associated with climate change and global warming. The California Global Warming Solutions Act of 2006 requires local governments, such as the City of Redlands, to plan and implement carbon dioxide emissions reduction programs by the year 2012, and reduce carbon emissions by the year 2020 to their 1990 level. Therefore, this project was developed as an initial assessment to analyze and estimate the distribution of indirect carbon dioxide emissions due to electricity and natural gas consumption from the residential and commercial sectors.
The most straightforward and accurate way to analyze the distribution of carbon dioxide emissions from end-use energy consumption is to examine the energy consumption data from the utility companies, such as the actual electricity meter readings of each household or each community. However, due to utility consumer confidentiality issues, only city-level aggregated data can be provided. This has made it difficult for local governments to determine indirect emissions at finer resolutions, such as parcel or building level. This project was designed to provide a tool to help city officials and planners estimate and analyze the spatial distribution of indirect carbon dioxide emissions.
A bottom-up approach was used to estimate the carbon dioxide emissions from the end-use energy consumption in the residential and commercial sectors. The CO2-Model application was built using ESRI‘s ArcGIS 9.3 ModelBuilder platform. Using energy intensity and unit energy consumption values with GIS parcels data is a cost effective way to estimate and analyze the change in carbon dioxide emissions over time.
Giri, S. (2010). Building a Carbon Dioxide Emissions Model for the City of Redlands (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/68