what makes a successful workplace environment and … · influence on comfort, productivity and...

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WHAT M A KES A SUCC ESSF UL WORKPL AC E

ENV IRONM ENT A ND C A N WE M EA SURE I T ?

WO RKP L ACE ANALY T ICS

Daniel Knott

Associate Sustainability Engineer

[email protected]


The big picture - creating a successful workplace…

Floor Building Site Urban


S U CC E S S F U L W O R K P L AC E

We probably all have an idea of what is a successful working environment and what is not

Views – interesting range of

internal and external

Natural

daylight

Fresh air feel

but not cold

Satisfactory

noise levels

Ease of movement -

connectedness

Collaborative but with

areas that provide privacy




We are biased by our role

HR

For an asset owner, it might be

about the highest revenue returns, and lowest void periods.

A Facilities Manager, it might be the

ability to easily control and optimise

the building, and keep maintenance and running costs down.

it might be about control

of absenteeism,

For a company director it

might be about the number of

quality interactions between staff, or even staff retention,

.

And for an individual, it might be

about a sense of belonging, having

the ability to control their

workspace, or the ability to get their job done, efficiently and enjoyably.




We are biased by our role

Within design stages, new build is often computationally optimised but can this optimisation

process continue in occupation?

Sensors

Raw data Processed data

Controls revised


T H E S T U D Y A R E A :

F LO O R O F A LO N D O N H Q ( F T S E 1 0 0 )

Hot desking open plan office space with meeting

rooms.


T H E S T U D Y A R E A :

F LO O R O F A LO N D O N H Q ( F T S E 1 0 0 )

Project Summary:

Environmental conditions have a strong

influence on comfort, productivity and

wellbeing in workplaces.

Our innovative work is leveraging real-time data

to bring people, space and environment

together.

Having such a holistic view of a workplace allows

our client to gain insights in to how people use

spaces and make evidence based strategic

decisions relating to processes and strategies to

enhance success.

This approach could directly support our client

to optimize their spatial layouts to provide a

better environment for their employees.

We access live and historical data from

office sensors capturing people activities,

environmental conditions (temperature,

noise, CO2 etc.), and space utilization. A

bespoke dashboard communicates the

trends in this data in a highly visual way –

providing high level insights that can help

ultimately enhance wellbeing productivity.


DATA AVA I L A B I L I T Y

Sensor placement for current data analysis

Open work space: Co2 [ppm], Humidity [%

RH], Light [lx], Noise [dB], Temperature [°C]

Open work space: Co2 [ppm], Humidity [%


Meeting room 3: Co2 [ppm], Humidity [%


Meeting room 2: Co2 [ppm], Humidity [%

RH], Light [lx], Temperature [°C]

Meeting room 1: Humidity [% RH], Light

[lx], Temperature [°C]

7

11

48

52

53

Kitchen: Humidity [% RH], Light [lx],

Temperature [°C]

Print room: Humidity [% RH], Light [lx],

Temperature [°C]64

57

7

11 48 52

57

6453

ID


DATA P R O C E S S I N G

Internet of Things / Sensors

Buro Happold

Analytics IP &

Data Lake

Environment

Buro Happold DisciplineTeams

Specialists

SustainabilityDashboard & Apps

Decision makers

Staff

Client

BMS

BIM / GIS

Raw Data

Processed Data

Space

People

Infrastructure

Access to

1

2

3


DA S H B OA R D - I N T R O D U C T I O N

Clear interface for distilling large data set

Interactive user experience

Control result detail

Easy access – hosted online

Dashboard & Apps


DA S H B OA R D - E X P L A N AT I O N

High level review of Data



Heat Map


Spatial representation of data




Suggested comfort ranges with

dial representing data points



Data profiles for user inputted

time period


Measuring the success,

and influencing it

Temperature

Humidity

CO2

Noise

Light

Space utilisation

Meeting room utilisation

Desk utilisation

Elevator usage

People location

Footfall

Level of interaction

Dwell time

Productivity

Movements

P E O P L E

CO M F O RT

S PAC E


S PAC E

0

200

400

600

800

1000

1200

0 1 2 3 4 5 6M

inu

tes

spen

t in

ro

om

Number of people in the room

Meeting Rooms Occupancy

Room 1

Room 2

Room 3

P E O P L E

CO M F O RT

low occupancy in large meeting

rooms.

.

48 52 53

48

52

53

Meeting room is statistically most likely

not to be used as a ‘meeting’ room!


S PAC E

0

200

400

600

800

1000

1200

0 1 2 3 4 5 6

P E O P L E

CO M F O RT

We would hypothesise that this high

frequency of single occupancy in meeting

rooms is a reaction to the open plan office

and is probably common to most open plan

offices

Solution would be to provide a variety of

partitioned room sizes.

On the day note: This supports previous discussions on Privacy


S PAC E P E O P L E

CO M F O RT

63%

37%

Co2

100%

Light

12%

88%

Humidity

21%

79%

Temperature

Comfort ranges

CO2: < 1000 ppm

Light: > 300 Lux

Humidity: between 30% and 60%

Temperature: between 20°C and 28°C

Within comfort range

Outside of comfort range


S PAC E P E O P L E

CO M F O RT

1/3 people hours out of Co2 target range

0

200

400

600P

eo

ple

* H

ou

r

Co2 levels [ppm]

Occupancy – Co2 Correlations:

Open work space

400 1200


S PAC E P E O P L E

CO M F O RT

Why are certain hot desks empty

while others are very popular?


We want to continually develop this process so that ultimately the

subjective and perception based metrics are as robust as recorded metrics, such as air temperature.

In this space highly successful office spaces will exist.

W H E R E N E X T ? - V I S I O N


W H E R E N E X T ?

Remainder of presentation details our current development areas

Potentially realised on upcoming Buro Happold projects

Expand study area

Current

client

Our new office space

(2019)

Your project


S PAC E P E O P L E

CO M F O RT

O V E R L AY I N G R E CO R D E D DATA A N D

P R E D I C T I V E M O D E L L I N G

Sunlight on desk spaces

Link to BMS blinds to determine

occupancy override

Do people prefer different sunlight

conditions for various spaces?


S PAC E P E O P L E

CO M F O RT

O V E R L AY I N G R E CO R D E D DATA A N D

P R E D I C T I V E M O D E L L I N G

Daylight distribution

Combine data recorded from

sensors with daylight analysis to

map full daylight distribution across

spaces

Data then can correctly adjust

artificial lighting across office

48


S PAC E P E O P L E

CO M F O RT

63%

37%

Co2

100%

Light

12%

88%

Humidity

21%

79%

Temperature

T E S T K N O W N CO M F O RT I N D I C E S

- P OT E N T I A L TO C R E AT E B E S P O K E

CO M F O RT I N D E X

Statistically comfortable?

Using occupancy as a proxy for comfort, recorded data

has indicated that occupants are willing to be in spaces

that would be classed as overheating

Process is likely to support

adaptive comfort principles.


S PAC E P E O P L E

CO M F O RTIs low occupancy due to

proximity to glazing?

D E V E LO P N E W S PAT I A L R U L E O F T H U M B

Reconfigure desk to create

perimeter circulation routes


S PAC E P E O P L E

CO M F O RT

Create three differing meeting room

environments and test to see which is most used.

For example:

- Relax conditioning set points

- Introduce circadian lighting strategy

- Install standing tables / no seats

‘ G A M E ’ T H E S PAC E

1 2 3

Proactive engagement with the space


Use of proxy’s are normal practice but process could be more robust with feedback loop

When an occupant seemingly has a choice we assume that the option taken is preferred.

For example, we would use occupant location within a office as a proxy for comfort – by

choosing a location they are happy/comfortable. However there might be reasons that

this proxy is not always correctly assumed – Someone using a particular desk because it

has the require IT support (screen, thin client, etc).

W H E R E N E X T ? - P R OX Y ’ S

Quick Comfort question

Is your current environment/workplace comfortable ?

Please feel free to consider the following before answering:

- Noise levels

- Air temperature

- Draughts / lack of fresh air

- Access to natural daylight / glare

By introducing a feedback loop we can accurately

record whether an occupant is comfortable.

A pop-up along with occupant location would be

enough to start compiling stronger comfort

metrics


www.smart-space . io

S M A R T S P A C E

Daniel Knott

Associate Sustainability Engineer

[email protected]

http://www.burohappold.com/

http://www.burohappold.com/

http://www.burohappold.com/think-again/specialisms/smart-space/

http://www.twitter.com/bh_smart

https://www.youtube.com/user/BHsmartSolutions

http://www.smart-solutions-network.com/

http://www.grasshopper3d.com/profile/SmartSpace

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