About Model Projections

A representation of the city’s energy and emissions was developed for the baseline year: 2011. The 2011 baseline inventory includes greenhouse gas emissions from buildings, transportation, energy production, and solid waste and liquid waste. GHG emissions associated with change in land cover and sequestration are not included.

The CityInSight model forecasts the GHG emission future for Toronto between the baseline year and 2050. These projections illustrate energy use and GHG emissions for the City of Toronto under two scenarios: the Business as Planned (BAP) and Low Carbon.

About Inventory Inclusions

The data inventory includes model projections for carbon dioxide (CO2), methane (CH4) and nitrous oxide (N20). These are not expressed explicitly but as a measure of mass of the Carbon dioxide equivalent (written as eCO2).

Hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), Sulfur hexafluoride (SF6) and Nitrogen triflouride (NF3) are not included.

About Heating Degree Days

The BAP numbers were adjusted from those in the 2016 Staff Report to incorporate the impacts of decreased heating degree days (HDD) on energy used in commercial buildings, as the previous results had only applied the change in HDD to residential buildings. As HDD decrease, particularly towards 2050, there is a decrease in emissions due to a decrease in space heating, which is partially offset by an increased demand for air conditioning. The update also includes the treatment of GHG emissions from biogas and biodiesel as biogenic emissions, or carbon neutral, and the reclassification of some vehicle classes, which had a minor impact on fuel use in transportation in 2050

About Maximum Values

All TransformTO Data Library maps use a sequential colour code to represent 6 linearly increasing data classes. Data classes for map legends are linear with the exception of the last data class. Where this exception exists, the map scale is then labelled "MAX." This labelling is used when the extent of the last data class goes beyond the linear range of this data class. For visualization purposes, the use of "MAX" to encompass all data over the last data class is more effective for communication than adding more data classes. Please use the hover-over feature of the maps for numerical distinction between areas that are labelled with "Max."