Understanding sustainability performance at the site-level is essential for Property Managers and Portfolio Managers alike. Measuring your site's performance, and identifying areas of improvement are crucial steps in your sustainability journey.
In summary, Measurabl's Site Trends feature allows you to analyze trends and usage performance. To review site data at the portfolio-level, follow this guide.
How to Review Trends at the Site Level:
- From the Measurabl landing page, Click on the 'Sites' tab on the left > Select your property.
- Click on the 'Sites Trends' tab.
- Select the metric you want to review: Electric, Fuel, District, or Water.
- Add a secondary line to track along with your actual performance (weather-normalization or occupancy normalization), if desired.
- Add or remove the year(s) that you want to visualize on the graph.
- Hover over data points on the graphs to see monthly usage averages for each line.
NOTE: Site Trends can be broken out by a visualized graph on this page, or you may select the 'List' option on the top-right to view the metrics in a table.
FAQ & Additional Information
- What is weather normalization?
- Weather normalization is a method for reflecting what energy your building would have used under average weather conditions, given its historical energy usage. This makes it possible to more accurately compare multiple years of energy performance while factoring out the weather.
- Weather normalization is a method for reflecting what energy your building would have used under average weather conditions, given its historical energy usage. This makes it possible to more accurately compare multiple years of energy performance while factoring out the weather.
- How is weather normalization calculated?
- Weather normalization is determined using monthly degree days, which quantify deviations from ideal average weather conditions for a given month. With Measurabl's knowledge of your building's location, we incorporate degree day data into our models to derive normalization factors for precise calculations of weather-normalized usage.
- Weather normalization is determined using monthly degree days, which quantify deviations from ideal average weather conditions for a given month. With Measurabl's knowledge of your building's location, we incorporate degree day data into our models to derive normalization factors for precise calculations of weather-normalized usage.
- What is occupancy normalization?
- Occupancy normalization is a method for reflecting what energy and water your building would have used had occupancy been consistent across the full performance period. This makes it possible to more accurately compare multiple years of performance while factoring out occupancy.
- Occupancy normalization is a method for reflecting what energy and water your building would have used had occupancy been consistent across the full performance period. This makes it possible to more accurately compare multiple years of performance while factoring out occupancy.
- What does normal performance look like?
- How a building uses energy or water from one month to the next will largely depend on the property type, but what you should expect to see is a similar trend line shape for one year and another. Each year’s trend line should lay closely with the other, but of course if you’re making efficiency improvements, each preceding year should show lower usage in each month than that same month a year before.
- How a building uses energy or water from one month to the next will largely depend on the property type, but what you should expect to see is a similar trend line shape for one year and another. Each year’s trend line should lay closely with the other, but of course if you’re making efficiency improvements, each preceding year should show lower usage in each month than that same month a year before.
- When I hover over the dots on the Site Trends graph (or look at the List view), why don’t the numbers match my meter readings?
- These monthly metrics are calendarized, meaning that when readings don’t neatly fall within the days of one month, we divide the usage between the months it touches. For example, if a reading spans Jan 15 -Feb 15, some of its usage gets allocated to January and some to February. More information on calendarization is described here.
- These monthly metrics are calendarized, meaning that when readings don’t neatly fall within the days of one month, we divide the usage between the months it touches. For example, if a reading spans Jan 15 -Feb 15, some of its usage gets allocated to January and some to February. More information on calendarization is described here.
- My Site Trends graph looks like … (what does it mean?)
- Spike in 1-2 months
- A reading may have been entered anomalously and need correcting
- Your utility vendor may have made a mistake in the usage displayed on the bill
- There may have been a significant change in actual consumption
- Gap within a year
- Your meters may contain gaps between readings
- There may be a gap between when one meter’s usage stops and another one’s starts
- Drop in last 1-3 months
- This is likely a normal trend resulting from the lag between when a utility posts their bill and time to process the utility data into the Measurabl system
- U-shape for fuel
- This is likely a reflection of how weather patterns influence consumption
- Significant jump from one month to the next that continues going forward
- You may have gotten access to additional meters that are now contributing towards total usage
- You may have seen a change in how the building operates (change in tenants, change in occupancy, change in function)
- There may be a mistake in how the utility data is being recorded, usually caused by a change in unit-of-measurement
- Significant drop from one month to the next that continues going forward
- You may have lost access to meters that were contributing towards total usage
- You may have seen a change in how the building operates (change in tenants, change in occupancy, change in function)
- There may be a mistake in how the utility data is being recorded, usually caused by a change in unit-of-measurement
- Spike in 1-2 months
