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01/29/13CANADIAN URBAN INSTITUTE, HELPING TO CREATE A WORLD OF THRIVING,
SUSTAINABLE, HARMONIOUS AND ENGAGED URBAN REGIONS.
Visit us online at:
canurb.org
COMMUNITY ENERGY MAPPINGCITY OF BURLINGTON COUNCIL WORKSHOP
ROYAL BOTANICAL GARDENS, APRIL 18TH, 2013, 1:30 AM - 3:30 PM
OVERVIEW
Project overview
Ontario energy supply and end uses
Burlington housing characteristics
Burlington residential energy use
Summary & questions
2
4INTEGRATED ENERGY & WATER
MAPPING GOALS
The purpose of the community energy and water mapping project is to:
Integrate energy (electricity and natural gas), water and demographic information into a single database;
Aggregate and map data in order to help municipal staff, utility staff and stakeholders to better understand community energy and water consumption; and
In turn, help to implement demand management programs and inform long term conservation goals
*Source: NRCan’s Comprehensive Energy End Use 2010 Data Tables
Electricity19%
Natural Gas30%
Diesel, Light Fuel Oil and
Kerosene11%
Gasoline22%
Other18%
Ontario Energy Use by Energy Source (PJ)
*Source: NRCan’s Comprehensive Energy End Use 2010 Data Tables
Residential20%
Commercial16%
Industrial27%
Transportation35%
Agriculture2%
Ontario Energy End Uses
Residential46%
Commercial29%
Industrial7%
Contract Accounts
18%
Burlington 2011 Natural Gas Consumption
Residential42%
Commercial27%
Industrial31%
Ontario2010 Natural Consumption
Ontario source: NRCan’s Comprehensive End Use Database, does not include transportation and agricultural uses
Burlington source: Burlington hydro, Union Gas, MPAC
Residential43%
Commercial21%
Industrial30%
Unclassified6%
Burlington2011 Electricity Consumption
Residential26%
Commercial42%
Industrial32%
Ontario2010 Electricity Consumption
Ontario source: NRCan’s Comprehensive End Use Database, does not include transportation and agricultural uses
Burlington source: Burlington hydro, Union Gas, MPAC
Characteristics of Housing Stock
Structure data helps to understand the built form characteristics of energy use
Nearly half of all electricity and natural gas consumed in Burlington is used in residential buildings
Residential energy use is affected by regulation (OBC), the market (building size), occupant behaviour and preference
Infill development and retrofit opportunities will outweigh new build in Burlington
The biggest gains are likely to come from infill, retrofitting existing housing stock, behaviour modification of occupants
Nearly half of housing units in Burlington were built before 1980
More than half of units are between 1,500 and 2,500 sf
Before 19462%
1946-196926%
1970-197922%1980-1989
15%
1990-199915%
2000-200513%
2006-20117%
Unit Count by Building Vintage
1000 sf or less9%
1001-150015%
1501-200037%
2001-250019%
2500 sf or more20%
Unit Count by Building Size (sf)
* Low density includes properties with less than 25 units per hectare
Medium density includes properties with 26 - 50 units per hectare
High density includes properties with greater than 50 units per hectare
0
2000
4000
6000
8000
10000
12000
14000
MPAC Unit Count by Housing Type and Vintage
High density
Medium density
Low density
* Building space excludes secondary structures (e.g., garages) and unheated basement area
Larger homes were built in 1980’s, 1990’s and after 2007
0
500
1000
1500
2000
2500
Before 1946 1946-1969 1970-1979 1980-1989 1990-1999 2000-2004 2005-2011
Squ
are
fe
et
Average Residential Building Space per Household by Vintage
Residential Energy Use
4 COMMUNITY ENERGY METRICS
Total energy use (GJ)
Energy use per heated area (GJ/m2)
Energy use per household (GJ/hhd)
Energy use per capita (GJ/cap)
Trends in Residential Energy Use:- Newer homes in Burlington are generally more energy efficient
- Homes built in the 1980’s and some built in the 1990’s are larger and therefore use more energy per household and per person
- While homes built after 2005 are large too, they are energy efficient and use less energy per household and per person
- Compact, efficient homes use the least energy
Gas use is lower in new
homes16
* NG Intensity based on total gas consumption and building space for postal codes
where gas data was provided; ‘rolled up’ data excludes some older neighbourhoods
-
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
GJ/
m2
2011 Natural Gas Use Intensity by Vintage
0
10
20
30
40
50
60
70
80
90
100
GJ/
hh
d
2011 Natural Gas Use per Household by Vintage
17
18
Residential Electricity Use19
0
0.05
0.1
0.15
0.2
0.25
0.3
GJ/
m2
2011 Electricity Use Intensity by Vintage
0
5
10
15
20
25
30
35
40
45
50
GJ/
hh
d
2011 Electricity Use per Household by Vintage
20
21
Summary:- This work helps form a baseline which can be used to establish community
energy targets and timelines
- ICI mapping can be used to support CDM/DSM implementation but we need better validation between Burlington Hydro, Union Gas and MPAC
- Enables spatial tracking
- Areas of high energy use; areas of growth
- Monitoring of performance and progress
- This work also can be used to explore future development scenarios and to help identify opportunities for conservation and retrofit
- Land use policy (infill, zoning)
- Programmatic responses (LICs, CDM/DSM programs)
- Next step is to overlay with demographic information and consumer attitudes using the Environics Analytics information to design retrofit and conservation programs
For more information contact:
Katelyn Margerm
Engineering Researcher
Canadian Urban Institute
kmargerm@canurb.org
416-365-0816 x 283
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