whole life performance plus (wlp+) · non-domestic bpe study • innovate uk bpe programme...
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Whole Life Performance plus (WLP+)
Professor Rajat Gupta
Oxford Institute for Sustainable Development
Oxford Brookes University
Project overview
• Project aims and details
• Market landscape
• Insights from literature review: existing evidence
• Meta-analysis Innovate UK non-domestic data set
• Work performance indicators
• Key findings and implications for WLP+
• Dissemination
Structure of presentation
Develop a software model and commercial service for optimising internal building conditions to improve productivity by at least 10%, reduce energy use by 30%, and improve occupant comfort and wellbeing.
Objectives are to:
• Empirically validate the link between IEQ and staff productivity
• Test the solution in a number of trial commercial buildings
• Develop a software-based supervisory control and reporting solution operating in a cloud environment
Project aim
• Innovate UK competition – Building whole-life performance
• Project value: £530,000 part funded by Innovate UK and EPSRC
• Project duration – 24 months from 1 Feb 2016
• Project lead – Low Carbon Maintenance Limited (LCMB)
• Academic lead: Oxford Brookes University
• Test bed will be commercial offices buildings provided by Argent, Emcor and Kings College
• BCO and CE to lead on industry exploitation and dissemination
Project details
Project details
Work
PackageDescription
WP1 Project management and reporting
WP2 Technical definition of project parameters
WP3 Baseline data capture
WP4 Deploy improvement interventions
WP5 Software development
WP6 Testing and validation
WP7 Dissemination and knowledge exchange
Market landscape
Market research
• Market research exercises conducted by LCMB to gain insight from leading industry figures on productivity and indoor environments.
• Review of Leesman Index which is a workplace effectiveness rating based on employee feedback of their environment.
• Market analysis on the commercial opportunities for WLP+ exploitation in the UK and Europe
Key findings from market research
• There is a lot of interest in productivity which is accompanied by health and wellbeing in discussions.
• There is less interest in indoor environments and a tendency to think about productivity in the context of generation Y employees engaged in flexible working patterns.
• Leesman reports productivity as a headline outcome, although productivity is only assessed from one question
• An assessment criteria has been developed to capture workplace productivity, workplace utilisation, work life balance and building energy costs.
• The final report will identify companies that may be interested in the WLP+ product or have existing expertise in workplace environment productivity
Existing evidence
Literature review
• To understand the standards and protocols that can be used to measure and influence occupant productivity in the workspace
• Review of existing studies
• Review of optimal IEQ parameters• Journal articles and conference proceedings on studies
conducted in office environments only
• Determine measures of productivity for business
• Determine monitoring requirements for WLP+
Optimal IEQ:CIBSE guidance
IEQ parameters Recommended limits (CIBSE Guide A, EN15251)
Air temperature
(mechanically ventilated office space)
Summer: 22 - 25°C
Winter: 21 - 23°C
Air temperature
(naturally ventilated spaces)
Depends on outdoor temperature: 5°C - 7°C comfort
band for 80-90% acceptability
Indoor relative humidity 40 - 70%
Air speedAbove 0.1m/s, temperature should be increased to
maintain thermal comfort
Ventilation rate 10 l/s per person
CO2 concentration 1500 ppm
Other office air pollutants (VOCs,
formaldehyde, odour from materials)
TVOC: < 0.2mg/m2h
Formaldehyde: < 0.05mg/m2h
Odour: dissatisfaction with odour below 15%
Noise (ambience levels) 35 – 45dBA
Lighting (maintained illuminance) 300 – 500 lux
Studies on environmental parameters and productivity
Study AuthorStudy location
Study type & sample size
Conditions monitored / Interventions
Findings: impact on productivity and cost
1 Allen et al(2015)
USA Intervention in climate chamber(24 subjects)
CO2 - 550ppm, 945ppm, 1400ppmVOC – low and high (increase by 0.5mg/m3)
21% decrease with 400ppm increase in CO2
13% decrease with 0.5mg/m3
increase in TVOCs
2 Park & Yoon(2011)
Korea Intervention in climate chamber(24 subjects)
Ventilation:5, 10, 20l/s/person
2.5 - 5% increase when ventilation is increased from 5 to 20l/s/person
3 Wittersehet al (2002)
Denmark Intervention in offices(30 subjects)
Temperature: 22°C, 26°C, 30°CNoise: 35dBA, 55dBA
3% decrease in 55dBA 55% more mistakes in 30°C
5 Fisk et al(2002), Federspielet al (2002)
USA Observational(3 months in a call centre)
Ventilation rate:CO2 as proxyTemperatureManagement
16% decrease at temp > 25.4°CLowest call handling time when indoor CO2 is up to 75ppm higher than outdoor CO2
6 Milton et al(2000)
USA Observational(40 buildings)
Ventilation:rated as moderate or high
Sick leave associated with moderate ventilation rate
7 Fisk et al(2012)
USA Theoretical study
Ventilation:8, 10, 15l/s/person
0.91% increase with 7l/s/person increase (8-15l/s/person)$38b annual saving 7l/s/person increase
Impact of IEQ on productivity
Addition
Text typing
Impact of ventilation rateImpact of temperature
Addition
3.8
4.0
4.2
4.4
4.6
4.8
22°C 30°C
Un
its
/ m
in
143.4
143.5
143.6
143.7
143.8
143.9
144.0
144.1
22°C 30°C
Ch
ara
cte
rs /
min
Text typing – more errors
found at 30°C
92
93
94
95
96
97
98
99
5 l/s/person 10 l/s/person 20 l/s/person
Co
un
t /
15
min
350
355
360
365
370
375
380
385
5 l/s/person 10 l/s/person 20 l/s/person
Ch
ara
cte
rs /
20
min
Cost implications
4.2
10.2
7.2
2.3
0.06
0.11
0.05
1.1
1.4
3.2
4.7
0.5-0.02 -0.04 -0.1
-2
0
2
4
6
8
10
12
14
16
Increase
ventilation rate
(to 10l/s/person)
Increase
ventilation rate
(15l/s/person)
Add economisers
to AC system
(to reduce energy cost)
Eliminate winter
overheating
(>23°C)
Reduce
dampness/mould
(through better
maintenance)
Av
era
ge
an
nu
al
ec
on
om
ic b
en
efi
ts (
$ b
illi
on
)
Improved work performance Improved health (reduced SBS symptoms) Avoided absence Energy cost/saving
Recommended
ventilation rate
Some energy cost
Energy saving offset
by installation cost
Meta-analysis of existing datasets
(Innovate UK BPE programme:
non-domestic buildings)
Non-domestic BPE study
• Innovate UK BPE programme 2010-2015
• Case study buildings (domestic and non-
domestic) designed to low energy
performance. 101 project out of which 47
non-domestic projects.
• Non-domestic buildings include education,
offices, public service and culture
• Meta-analysis in WLP+ included projects
where data on building performance were
available
• Focus on fabric performance, energy
consumption, environmental performance
and occupant feedback and satisfaction
BUS questionnaire
• Structured questionnaire to record
feedback from building users
• Enables benchmarking against 45 key
variables: environmental and control of
the environment and building and
working space related variables
• Variables rated on a 7-point scale
1 - unsatisfactory/uncomfortable/no
control
7 – satisfactory/comfortable/full control
• Perceived productivity rated:-40% to
+40%
Non-domestic BPE study:Office spaces (n=21)• 21 out of 47 projects were in
offices
• High level of insulation in the
buildings
• Floor area: 705 – 37,000m2
• BUS surveys conducted in all
buildings
• 45 – 5,250 occupants
• In 12 out of 21 projects,
perceived productivity
increased by an average of
4.9% and maximum of 10%
• Over 5000 occupants
• Personal controls for
lighting and HVAC
• 5% increase in perceived
productivity
• Excellent BREEAM rating
• Good daylighting and
natural ventilation using
BMS-controlled louvers
• 5% increase in perceived
productivity
• Ground source heat pump and
Solar PV systems Exemplary
for low carbon emissions
• 10% increase in perceived
productivity
Non-domestic BPE study:Office spaces (n=21)
VariablesCoefficient of
determination (r2)
Overall comfort 0.72
Air in summer : overall 0.51
Air in summer: fresh/stuffy (-)0.41
Overall lighting 0.50
Overall noise 0.23
Perceived health 0.61
Building design 0.53
Furniture provided 0.58
All r2 values are statistically significant: p<0.05
Air in summer: overall
1 – unsatisfactory 7 - satisfactory
Air in summer: fresh/stuffy
1 – fresh 7 – stuffy
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
1 2 3 4 5 6 7
Pro
du
ctiv
ity
(Pe
rce
ive
d)
Air in summer: Overall
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
1 2 3 4 5 6 7P
rod
uct
ivit
y (P
erc
eiv
ed
)Air in summer: Fresh/stuffy
Work performance indicators
Measuring productivity
• Task performance metrics
• Total time from initiation to completion of discrete tasks
• Accuracy of task results
• Self assessment metrics
• Perceived productivity, health, wellbeing
• Perceived environment and control of environment
• Business oriented metrics
• Health cost, sick leave, accidents
• Overtime and accepting extra work or responsibilities
Key findings and
implications for WLP+
Key findings from existing evidence
• Intervention studies in climate chambers and real life offices have quantified the influence of IEQ on work place productivity and energy cost.
• From the review of intervention studies conducted, productivity can be increased by up to 16% with improvements in IEQ.
• From BUS assessments conducted in non-domestic BPE studies, there are positive correlations between perceived environment and control and increase in self-reported productivity.
• Other contextual factors such as building design and furniture are also important factors that have an effect on perceived productivity.
• Several factors are used to measure and monitor productivity in offices. These include task output (speed and accuracy), absence from work, perceived wellbeing at work.
Implications for WLP+
• Findings from market research show the evidence that IEQ can influence productivity would leverage funding for improvement works
• Findings from the literature review have highlighted the essential parameters to be monitored in this project:
• Environmental factors – IEQ
• Building characteristics and performance
• Demographics of occupants
• Performance indicators (for measuring productivity)
• Energy consumption data is essential in order to quantify energy costs/benefits of interventions
• Some measures of performance are organisation specific so site visits will be necessary in order to monitor relevant parameters
Dissemination to date
Poster presentation at UK Indoor Environmental Group (UKIEG) 2016 annual conference
Paper and oral presentation at International SEEDS conference 2016
Thank you