Difficulty: novice
Content
Learning Objectives
After reading this article, you’ll be able to:
- Read the Space Simulator Dashboard
Through historical* occupancy data, Space Simulator allows you to
- calculate possible m2 and cost savings, and
- simulate shrink and growth scenario’s, that answer following questions:
How many people can be added to a building, floor or zone without the risk of not having enough space available?
- What is the impact on the opportunity (m2, cost or # people) when implementing a 1 hour, 2 hour or 4 hour clean desk policy?
- Make an impact analysis when simulating between no risk simulations and x% risk simulations
- Visualize and calculate the differences between a full building flexible desk concept and a flexible desk concept at floor or zone level
- …
Info
Opportunities need to be analyzed per building or floor.
*Historical data means that the visualized data in the dashboard was gathered from 6 months ago until yesterday.
What’s the difference between Space Monitor and Space Simulator?
“Space Simulator” page
Space Simulator page in detail
Passive occupancy (clear desk)
To simulate the impact of occupied spaces (laptop, papers, …) without being physical presence (going to toilet, coffee, meeting) we have introduced the passive occupancy concept.
The passive occupancy aggregates the active occupancy (sensor data) to one, two or four hours depending on the used clear desk concept or aggregation level (1/2/4)
For one hour clear desk level
All sensor measurements that measure an activity (within an hour range) longer than 15 min will be aggregated to one hour occupancy being 100% for that hour and the related space (only within office hours)
For two hour clear desk level
Idem as for one hour + next hour will be seen as 100% occupied for the related space (only within office hours)
For four hour clear desk level
Idem as for one hour + next 3 hours will be seen as 100% occupied for the related space (only within office hours)
% workplaces available concept
To exclude extreme high maximums (sales meeting, event, ...) we have introduced a possibility to exclude these maximums. When the %workplaces available slider is reduced with 5% it means that the higest 5% of the measurements are excluded.
Vacancy concept
Remark: When “% workplaces available” = 100%, this is a so called ‘no risk’ vacancy
Simulation with 100% workplaces available – ’no risk’ vacancy
Simulation with 90% workplaces available – ’10% risk’ vacancy
Vacancy Buffer concept
The vacancy buffer concept allows to build-in a extra buffer in the vacancy calculation (0-25%) to improve the comfort of the end users.
Use the slider to check scernarios with other vacancy buffer percentages.
Max concept
- Vacancy concept is highlighted in yellow
- Max concept is highlighted in red
- Simulation sliders are highlighted in blue
Max work and concentration spaces that could be reduced |
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Optimal sizes of the collaboration spaces (only when utilization is measured) Remark: The number of collaboration spaces for the max concept is taken from the vacancy simulation |
Rental cost
“Space simulator” start page
Step 1: Choose simulation type
Select which scenario you want to simulate:
Saving simulation = Calculating savings at building flexibility for work spaces, concentration spaces and collaboration spaces (click to expand and see an example)
Capacity simulation = Calculating possible opportunities (spaces, m2 and People) for workspaces by comparing results at building, floor, and zone flexibility (click to expand and see an example)
Depending on the selection you can calculate the vacancy per building or per floor or per zone.
The result will be:
Info
Vacancy at building level > Sum(vacancy at floor level) > Sum(vacancy at zone level)
When calculating the vacancy at floor level it might be that a certain floor is reaching its maximum, even if at an other floor there are still spaces available. The calculation at floor level is not taking the open spaces in the other floors into account meaning that in total less vacancy will be calculated.
Scroll down to see the following part of the page:
Benchmarking = Calculating for all buildings, floors or zones how they perform compared to benchmark via adaptable color coding (click to expand and see an example)
Benchmarking scoring analysis
Step 2: Select data range
Graphs at the right hand side can help defining the best period
Step 3: Set parameters for simulation
- Select building : Choose building when simulation type 1 or 2 has been selected
- Select currency: Select the currency to be used for the savings simulation
- Select clear desk policy: Select clear desk policy (1, 2 or 4 hours)
- Select calendar day: Select “holidays” if needed to be taken into account
- Select rental cost per m2/year:
- Set vacancy buffer: If a certain % buffer is important to improve the comfort of a building, floor or zone a buffer can be selected
- Set m2 parameters for the different space categories (Remark: For collaboration spaces the m2 from FMIS are taken into account)
Step 4: Start simulation or benchmarking (depending on selection of simulation type)
More information
Frequently Asked Questions on Dashboards
Check out FAQ on Dashboards