new business models - constructing...

@ constructingexc @G4Cnet @UK_CCG

New business models

CE asset management task group, November 2016

@ constructingexc @G4Cnet @UK_CCG

Introductions

John O’Brien Colm Quinn

Group chair Group secretary

@ constructingexc @G4Cnet @UK_CCG

Meeting objectives

Share leading thinking and insights

Share CE's members lessons learnt

Update group on WLP+ project progress

Capture key insights for wider dissemination

@ constructingexc @G4Cnet @UK_CCG

Agenda

“Innovative financing models for built assets” – Madoc Batcup, Partner, Synaps Partners LLP

“Why you should pay for the energy you don’t use – new disruptive energy models” – Paul Burnett, Asset-Plus

WLP+ update – John O’Brien, LCMB

Whole Life Performance Plus (WLP+)

John O’Brien

LCMB

john@lcmb.co.uk

www.lcmb.co.uk www.wlpplus.com

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 – LCMB

• Academic lead: Oxford Brookes University

• Research conducted in commercial office buildings provided by Argent, Emcor and Kings College

• BCO and CE to lead on industry exploitation and dissemination

Project details

Project stages

Dates Status

1Project management and

reporting1 Feb 16 – 31 Jan 18 On-going

2Technical definition of

project parameters1 Feb 16 – 31 July 26 Complete

3 Baseline data capture 1 Aug 16 – 31 Jan 17 Active

4Deploy improvement

interventions1 Feb 17 – 31 July 17

5 Software development 1 Feb 17 – 31 Oct 17

6 Testing and validation 1 Aug 17 – 31 Jan 18

7 Dissemination 1 Feb 16 – 31 Jan 18 On-going

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+

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

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 7

Pro

du

ctiv

ity

(Pe

rce

ive

d)

Air in summer: Fresh/stuffy

Baseline Testing

EMCOR Facility

• Two identical spaces on two floors suitable for control and intervention studies

• Sensors installed to record temperature, CO2, RH, noise, light intensity and other indoor and external environmental factors

• Energy data also recorded

• Data collected through the BMS and using on-site data loggers

King’s College London

• Waterloo Campus next to a busy roundabout and a busy train station (~ 150m)

• Spaces identified for control and intervention studies

• Interesting environment for studying the impact of natural ventilation and air quality

Location

www.lcmb.co.uk

www.wlpplus.com

Further Details

@ constructingexc @G4Cnet @UK_CCG

Agenda

“Innovative financing models for built assets” – Madoc Batcup, Partner, Synaps LLP

“Delivering product as a service” – Martin Townsend, Director of Sustainability, BRE

Why you should pay for the energy you don’t use – new disruptive energy models” – Paul Burnett, Asset-Plus

WLP+ update – John O’Brien, LCMB

@ constructingexc @G4Cnet @UK_CCG

Dates for your diary

1.30pm 25th

January 2017

How process can improve

operational performance

Examining the use of BIM, soft landings etc. to

improve the operational performance of built assets

1.30pm 26th April

2017

The use of big data to

improve built asset

performance

Unlocking and using big data to improve built asset

performance

1.30pm 12th July

2017Integrating data systems

How to improve the performance of built assets by

joining up data systems

1.30pm 20th

September 2017

Making existing built

asset work

How to improve the performance of existing built

assets

1.30pm 24th

January 2018

Asset management

summit

Joining up guidance and insights for CE members to

help differentiate their services