QuadReal is proud to have achieved the top ranking for a diversified portfolio in both Canada and North America in the 2020 Global Real Estate Sustainability Benchmark (GRESB) results. The company’s diversified portfolio of office, industrial, retail and residential properties was also ranked 2nd globally. This accomplishment demonstrates our commitment to environmental, social and governance practices. To learn more about the GRESB results, please see our news release.
ENERGY DISCLOSURE
Energy disclosure is important because it allows us to track our performance and identify opportunities for improvement. This page includes the performance metrics of all our Canadian buildings and four case studies that illustrate how we use analytics to keep learning and pushing further.
We believe in a transparent marketplace. You will find our energy, water and carbon emissions data (shown as greenhouse gases (GHG) intensity) for office and residential properties on the map below (also available on the leasing pages). This is a way of tracking a building’s carbon emissions over time. We encourage the industry to share benchmarked data and make a commitment to transparency, sustainability leadership and combating climate change.
This is our 5-step guide to energy disclosure.
BUILDING PERFORMANCE
We participate in the Global Real Estate Sustainability Benchmark (GRESB). This is an international assessment that allows us to compare and continuously improve our performance relative to our past performance and to our peers. Over 95% of our Canadian portfolio has a green certification and our property teams set annual energy reduction targets. This process has helped us stay on track to achieve our 2020 goal of reducing absolute carbon emissions by 50% compared to the 2007 baseline year.
Explore the interactive map to learn more about our buildings and their performance.
- Alberta
- British Columbia
- Manitoba
- Ontario
- Quebec
- Saskatchewan
- Industrial
- Office
- Residential
- Retail
- 2010's
- 2000's
- 1990's
- 1980's
- 1970's
- 1960's
- 1950's
- BOMA
- ENERGY STAR
- FITWEL
- LEED
- Map
- List
OUR PROGRESS IS A PATH OF CONTINUOUS LEARNING
We believe it is important for us to provide a complete and transparent picture of QuadReal’s performance. Tools like our Environmental Management System (EMS) are utilized to guide portfolio-wide operational improvements. The design, management and maintenance of the EMS undergo continual improvement to ensure we reach our goals. We are certified in accordance with ISO 14001. View our 2019-2022 certificate.
Please see our 2020 performance update which uses all the real estate management metrics of Sustainability Accounting Standards Board (SASB) to enable easy comparison to other firms. QuadReal has chosen to voluntarily disclose our Canadian portfolio emissions data in accordance with the GHG Protocol and in addition to SASB metrics. See our GHG emissions methodology.
These charts on carbon emissions, energy intensity, waste diversion and water normalization demonstrate the analysis we undertake, and the actionable insights generated. The rich data and critical analysis help us avoid incorrect assumptions and inaction. Our curiosity continues to drive innovation that supports sustainability.
CARBON WATERFALL
Challenge:
We wanted to know how to drive an 80% absolute carbon emission reduction in our growing portfolio.
QuadReal GHG Emissions - 2017 vs. 2007 | Absolute Emissions (tCO2e) | Cumulative Emissions (tCO2e) | Percent Difference | Description |
---|---|---|---|---|
2007 Total | 259,630 | 259,630 | 0 | Total greenhouse gas emissions of QuadReal’s portfolio in 2007, including emissions resulting from energy, water and waste consumption at the properties we manage. |
Grid Intensity | -49,986 | 209,645 | -19 | The Grid Intensity describes how much GHG emissions are associated with the electrical grid in a province. It changes in-line with the mix of energy generation in that province in a given year, with coal generation being highly carbon intensive versus hydro, nuclear, wind and solar being low carbon sources of electricity generation. |
Developments | 31,936 | 241,580 | 12 | GHG emissions that are added to the portfolio through new property developments. |
Normalization | -7,778 | 233,803 | -3 | In order to compare buildings across regions and across years, the energy and emissions have been normalized for weather, occupancy and exceptional tenant loads. By removing these variables we get a clearer sense of the energy performance of buildings that we can affect through operations and capital improvements. |
RECs & Offsets | -40,265 | 193,537 | -16 | In line with the accounting principles of LEED and the GHG Protocol, some of our properties purchase Renewable Energy Credits (RECs) and Verified Emissions Reductions (VERs) in order to reduce their GHG emissions. These purchases financially reward clean energy projects and make the business case viable for the construction of more wind projects and methane capture from projects. We retire the GHG emissions and it is tracked through third-party audited certification such as Green-e. |
Operations | -30,026 | 163,511 | -12 | A reduction in GHG emissions due to operational excellence and energy conservation projects. |
2017 Total | 163,511 | 327,022 | -37 | Total GHG emissions of QuadReal’s portfolio in 2017 including emissions resulting from energy, water and waste consumption at the properties we manage. |
Insights:
Energy efficiency is necessary; best-in-class operations teams and capital upgrades are key to driving progress. However, efficiency plays only a small part in overall reduction when compared to fuel switching, grid intensity changes, new developments and renewable energy. To achieve our ambitious goal, we need the entire real estate sector to innovate and deliver low-carbon solutions.
Actions:
Existing properties set and deliver on energy targets every year. In the case of new developments, we are embedding sustainability early in the design phase to encourage integration of healthy spaces, smart technology and low carbon alternatives such as renewable energy systems.
ENERGY INTENSITY FOR OFFICE
Challenge:
We wanted to understand how buildings can age gracefully. In the graph below, the size of the bubble corresponds to the size of the office building (in Ft2).
Energy Use Intensity [kWh / Ft²] | Year Built | Gross Living Area (Ft²) | Province |
---|---|---|---|
28.42 | 2013 | 22,823 | British Columbia |
48.26 | 2013 | 33,530 | Alberta |
9.9 | 1988 | 39,576 | Ontario |
20.75 | 1974 | 50,200 | Ontario |
22.65 | 1975 | 50,953 | Ontario |
24.86 | 1974 | 51,018 | Ontario |
18.82 | 1975 | 52,460 | Ontario |
27.08 | 1972 | 53,548 | Alberta |
31.46 | 2009 | 61,138 | Alberta |
15.04 | 2001 | 61,169 | Ontario |
22.13 | 1976 | 69,669 | Ontario |
7.77 | 2010 | 72,973 | Ontario |
18.71 | 2010 | 78,445 | British Columbia |
48.26 | 2013 | 33,530 | Alberta |
46.91 | 1968 | 85,994 | Alberta |
26.61 | 1987 | 91,820 | Ontario |
17.39 | 1992 | 93,121 | Ontario |
21.26 | 1985 | 94,909 | Ontario |
16.42 | 1982 | 95,775 | Ontario |
20.68 | 1984 | 95,840 | Ontario |
26.84 | 1988 | 101,434 | Ontario |
21.55 | 1985 | 106,753 | Alberta |
57.61 | 1987 | 112,378 | Ontario |
16.99 | 2002 | 112,412 | British Columbia |
14.93 | 2010 | 112,933 | British Columbia |
20.51 | 2008 | 113,041 | British Columbia |
27.91 | 1990 | 113,553 | Ontario |
18.99 | 2007 | 125,789 | Ontario |
14.64 | 2011 | 126,807 | Ontario |
36.08 | 1979 | 129,686 | Alberta |
22.09 | 2002 | 146,560 | British Columbia |
50.15 | 1968 | 150,692 | British Columbia |
29.87 | 2013 | 157,066 | Alberta |
27.19 | 2012 | 172,798 | British Columbia |
14.59 | 2006 | 178,508 | Ontario |
15.5 | 2014 | 194,737 | Alberta |
29.87 | 2013 | 157,066 | Alberta |
25.46 | 1980 | 226,747 | British Columbia |
21.16 | 2000 | 251,004 | Ontario |
27.07 | 1969 | 348,007 | British Columbia |
26.54 | 1991 | 364,486 | Ontario |
14.61 | 2015 | 400,755 | British Columbia |
27.96 | 1980 | 464,497 | Alberta |
25.26 | 1983 | 471,929 | Ontario |
19.77 | 2012 | 592,923 | Ontario |
20.34 | 1984 | 593,849 | British Columbia |
37.39 | 1972 | 641,377 | Ontario |
30.53 | 1988 | 653,723 | Alberta |
18.35 | 2014 | 709,412 | Ontario |
35.63 | 1989 | 722,652 | British Columbia |
24.98 | 2009 | 786,775 | Alberta |
23.84 | 2007 | 844,228 | Alberta |
32.08 | 1983 | 1,097,655 | Alberta |
35.78 | 1972 | 1,962,036 | Ontario |
Insights:
With the adoption of LEED and other certifications, the operating performance of new buildings has rapidly improved in the last decade. It is clear that operational best practices and proactive capital upgrades are key to closing the gap for older buildings. Ambitious and innovative changes are also necessary to keep up with growing energy performance expectations.
Actions:
We aim to make our office buildings smart-ready so that we can collect interval data and make use of operational analytics and retro-commissioning.
WASTE DIVERSION VS. COST PER SQUARE FOOT
Challenge:
We wanted to know how to increase waste diversion rates.
Building | Annual Cost per Square Foot ($) | Annual Diversion Rate (%) | Waste Intensity (kg/ft²) |
---|---|---|---|
Bldg 1 | 0.13 | 72 | 11 |
Bldg 2 | 0.16 | 60 | 9 |
Bldg 3 | 0.12 | 60 | 10 |
Bldg 4 | 0.08 | 70 | 5 |
Bldg 5 | 0.19 | 75 | 9 |
Bldg 6 | 0.12 | 60 | 10 |
Bldg 7 | 0.4 | 33 | 94 |
Bldg 8 | 0.06 | 50 | 13 |
Bldg 9 | 0.07 | 63 | 10 |
R² = 0.11 The r-squared of cost vs. diversion rate is 0.11. Roughly meaning that very little of the difference in cost is correlated to diversion rate.
Insights:
Waste diversion rates and cost per square foot are not correlated. In fact, what we found is that the most economical cost-per-square-foot buildings had the highest waste diversion rates, while the highest cost-per-square-foot buildings significantly underperformed in comparison.
Actions:
We created an internal waste target-setting process for all buildings. It established a baseline across regions and asset classes and included initiatives to improve performance. We also conducted waste audits and provided support to buildings that were underperforming. Waste volumes were reduced by half in the first month through extensive training and clear communications with operators, cleaners and tenants with a focus on those in food and beverage. This waste diversion process and the reduced frequency of pickups provided significant cost savings for these properties.
HOW NOW WITH WATER?
Challenge:
We wanted to know how to compare water usage performance by building so that we could identify effective processes and technologies while identifying which buildings needed additional attention.
Month | Normalized (L/ft²) | Non Normalized (L/ft²) |
---|---|---|
Jan 2014 | 39.25 | 42.56 |
Feb 2014 | 39.24 | 42.58 |
Mar 2014 | 39.14 | 42.49 |
Apr 2014 | 38.89 | 42.26 |
May 2014 | 38.68 | 41.66 |
Jun 2014 | 38.41 | 41.76 |
Jul 2014 | 38.4 | 40.87 |
Aug 2014 | 38.2 | 40.34 |
Sep 2014 | 37.76 | 40.2 |
Oct 2014 | 37.28 | 39.58 |
Nov 2014 | 36.91 | 39.25 |
Dec 2014 | 36.65 | 39.01 |
Jan 2015 | 36.1 | 38.61 |
Feb 2015 | 35.57 | 38.23 |
Mar 2015 | 35.26 | 38.22 |
Apr 2015 | 34.58 | 37.87 |
May 2015 | 33.32 | 37.6 |
Jun 2015 | 32.71 | 36.43 |
Jul 2015 | 30.94 | 35.87 |
Aug 2015 | 30.31 | 35.9 |
Sep 2015 | 28.98 | 35.89 |
Oct 2015 | 28.37 | 35.65 |
Nov 2015 | 28.2 | 35.93 |
Dec 2015 | 28.02 | 36.17 |
Jan 2016 | 28.06 | 36.51 |
Feb 2016 | 28.19 | 36.89 |
Mar 2016 | 27.97 | 36.8 |
Apr 2016 | 27.88 | 36.8 |
May 2016 | 27.89 | 36.66 |
Jun 2016 | 27.39 | 37.35 |
Jul 2016 | 26.59 | 37.29 |
Aug 2016 | 25.4 | 37.74 |
Sep 2016 | 25.27 | 37.44 |
Oct 2016 | 24.93 | 37.48 |
Nov 2016 | 24.92 | 37.41 |
Dec 2016 | 24.84 | 37.31 |
Jan 2017 | 24.91 | 37.36 |
Feb 2017 | 25 | 37.42 |
Mar 2017 | 24.95 | 37.35 |
Apr 2017 | 24.7 | 37.26 |
May 2017 | 25.01 | 36.87 |
Jun 2017 | 25.26 | 36.73 |
Jul 2017 | 26.16 | 36.62 |
Aug 2017 | 27.59 | 36.11 |
Sep 2017 | 27.77 | 36.12 |
Oct 2017 | 27.86 | 36.36 |
Nov 2017 | 28.06 | 36.5 |
Dec 2017 | 27.97 | 36.4 |
Jan 2018 | 28.18 | 36.6 |
Feb 2018 | 27.97 | 36.39 |
Mar 2018 | 28.22 | 36.63 |
Apr 2018 | 28.62 | 36.8 |
May 2018 | 28.16 | 37.42 |
Jun 2018 | 27.95 | 37.31 |
Jul 2018 | 28.26 | 38.57 |
Aug 2018 | 28.28 | 39.97 |
Sep 2018 | 28.97 | 40.73 |
Oct 2018 | 29.16 | 40.52 |
Insights:
We worked with RealPAC and Energy Profiles Limited to beta test a water normalization methodology that will help us see how water use is changing over the years independent of the weather. This will highlight which buildings are more efficient and why. In this example, water intensity was largely maintained despite a large increase in the number of building occupants.
Actions:
Water normalization is live at all our office properties and we are working on implementing it at our residential properties. In addition to weather and exceptional water use normalization, we are developing a normalization for occupancy that will allow us to better understand the data and water use across the portfolio.