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Prof Paul Fleming
Director of Sustainable Development
De Montfort University
Leicester
Local and County
1.
2.
3.
4.
5.
6.

Background
Leicester
Smart Cities
SmartSpaces – Leicester
Engaging with young people
Next Steps
1. Background
Strategy
•
•
•
•

Leadership
Emissions inventory
Action plan
Implementation
– New developments
– Existing development
– Ongoing management

• People
Guidance
• Energy Cities
• ICLEI
• Climate Alliance
• Fedarene
• Covenant of Mayors

Covenant of Mayors
Committed to local sustainable energy
International issue
•
•
•
•
•

International commitment
EU commitment
National
Regional
Local
Energy and Greenhouse gas related
Data
•
•
•
•

Reducing our carbon footprint
New employment opportunities
Health and pollution
Quality of Life

• Ethical and privacy issues
• Data security issues
ENERGY?
•
•
•
•

Heat and power our homes
Heat and power businesses
Move us around
Produce goods and services

• Linked to most things we do
• Not just technical problem
ENERGY SERVICES
• We do not want gas or electricity – we want
heat, light, power and mobility
• Low unit energy costs
• Affordable energy service
NON TECHNICAL BARRIERS
• How do you overcome non-technical barriers?
• How do you implement energy efficiency
improvements?
• How do you implement renewable energy systems?
– Attitudes and behaviour
– Decision Makers
– Public Dialogue
IMPLEMENTATION
“Boring” Energy Efficiency measures
• Time controls
• Heating controls
• Lighting controls
• Thermal insulation
• Energy-efficient equipment
“Exciting” renewable
• PV
• Solar thermal
• Biomass
• wind
2. Leicester
Ambitious vision
• 1990 UK’s First Environment City
• 50% emissions reduction by 2025 based on
1990 levels
• Leicester as a low carbon city
– homes
– Non-domestic buildings
– Waste
– Transport
– Public engagement
Long history
• 1990, Leicester, UK first environment city
• 1992, Leicester, received honours at the Earth
summit in Rio de Janeiro
• 1995, Leicester, European sustainable city
• 2003, Leicester. Climate change strategy
• 2010, low carbon city key priority of newly
elected Mayor
• 2012, launch of the citywide combined heat and
power scheme
Citywide
•
•
•
•
•
•

Planning Regulations
Combined heat and power
Cavity wall insulation
External wall insulation
Solar thermal
Solar photovoltaic

• Smart grids
• Attitudes and behaviour
• Community energy schemes
Making Leicester a low carbon city
3. Smart Cities
Smart Cities: Integrative Approach
• Focus on the data on the
physical structure of the city
Jobs

• Buildings
–
–
–
–

Residential
Commercial
Industrial
Public

Technology

• External Spaces
–
–
–
–

Functional
Wellbeing
Aesthetic
Environment

Efficiency

Wealth

Ideally, the
structure and
systems of the
city optimise
all these

Wellbeing

• Thoroughfares
–
–
–
–

Location
Layout
Access
Mobility

Behaviour

Health

Environment
Data
• Energy Supply
–
–
–
–

Fossil fuel electricity
Renewable electricity
Fossil fuel heat
Renewable heat

• Energy Demand (temperature and other data)
– Homes
– Business
– transport

• Air Quality
– Locally measures
– Satellite

• Other Data?
• Map supply and demand across the City.
– Whole System, based on individual businesses and modes of travel
– City wide combined heat and power scheme, energy storage
– “Shift” demand to different times of the day
Carbon Sequestration data
• Carbon stored in soils
• Carbon stored in open spaces
• Carbon stored in trees
Smart Grid Energy Flows
Smart Grids: Communications &
Intelligence
•

What signals are required?
–
–
–
–

•

Frequency: indicates national supply/demand balance
Voltage: due to local grid constraints
Price: e.g. Time of Use tariff
Other status and/or control signals

What method of communication is most effective?
–
–
–
–
–
–

GPS
Internet
Power Line Communication (PLC)
Downstream status monitoring
Control box with WiFi/Bluetooth/ZigBee
Smart meters
Cross-Sectoral Integration
•

Until recently power, thermal and transport sectors have
been relatively separate and self-contained
– Due to the dominance of a different fuel type for each

•

Oil and natural gas are becoming less sustainable
– Due energy security and climate change issues
• So where else can we get the energy from for the transport
sector?

•

Gas will be available for decades, coal for longer
– But it must incorporate Carbon Capture and Storage (CCS)

•

In a low carbon energy system, the sectors merge
– Primary supply will be increasingly electricity based
• Power sector: supply from renewables, nuclear, ‘clean’ coal/gas
• Transport sector: electric vehicles and electrolytic hydrogen
production use grid power
• Thermal sector: heat pumps, ‘storable’ electric heating/cooling
Buildings and Transport Integration
•

Net zero-energy only feasible in highly efficient buildings in low-density areas
– Building-integrated renewables not sufficient for high-rise or energy hungry buildings
(e.g. hospitals)
– However, avoid incentivising urban sprawl
•
•

•

Increases car dependence and transport energy use
Public transport not economical in low-density urban areas

Off-site supply of electricity
– Usually less expensive than on-site PV (solar photo voltaic)
•

Achieves more CO2 mitigation per £

– However:
•
•
•

•

PV electricity is becoming more competitive
Competes against the retail price
Improves grid reliability by relieving bottlenecks

Smart EV (electric vehicle)charging
–
–
–
–

Eliminate emissions cased by transport from urban sprawl
Improve efficiency of transport from urban sprawl
Maximise benefit of PV by avoiding export to grid (mobility is high value service)
Improve (heat led) CHP (Combined Heat and Power) performance by balancing electrical supply
What Are We Trying to Achieve?

Slid
e 27
Dispatchable Demand
•

The demand side solution
– Time-shifting of demand
• ...with intrinsic energy storage capability

– What methods of control?
• Active customer participation?
• Automatic (‘invisible’) control?
• Centralised or local control?

– Current focus is on
• Domestic loads & electric vehicle charging
• Demand levelling
• Short-period time-shifting

– also addresses
• Industrial demand response
– Especially in hydrogen fuel production

• Supply matching
• Long-period time-shifting
Example of modelling results
•
•

Proportional prosumer response – initial
findings (“milestone version”)
Domestic demand flattening achieved:
–

Intermediary ‘Smart Signal’ eliminates
instabilities seen in other models that use price
optimisation strategy for domestic customers

3000

Price optimising
response
creates
instabilities

2500

2000

1500

1000

500

0

0

5

10

15

20

25

Baseline demand (1000
prosumers, kW)

30

35

40

45

‘Smart Signal’
reduces peakmean ratio
Detailed data
• Energy and water meters
– Remote switching of “non essential loads”
– Automatic, remote charging of electric vehicles.

• Data for homes and businesses
– Temperature data from bedrooms
– Smart spaces example, engaging with non domestic
building users via social media

• Transport
– Vehicle and bus movements, traffic flows and car parks etc

• Air Quality
– Satellite data, providing local information
Data available to public
• Virtual power plant - supply and demand in
Leicester
• Homes
– Database of home with real time (or day plus one)
data?
– Compare with similar house types.

• Lifestyle is key issue
Conflicts
• Local renewable (biomass) and local air
quality?
Smart Cities: Jobs and Wealth Creation
•

Business opportunities
–
–
–
–
–

•

Growing cleantech sector
Construction (and operation)
Service orientated (more people, less materials)
International markets
Leadership

New business models
–

Services
•
•
•
•
•
•

–

Energy services
Car clubs, etc
System integration
Operation and maintenance
Skills and training
Free Electric Vehicle ownership is even being used as a sales incentive in the property market!

Manufacture
•
•
•
•
•

High tech (high added value)
Offsite construction of buildings
Offsite production of bespoke, modular, retrofit assemblies for low-carbon refurbs.
Series production of low carbon vehicles
Existing local expertise, plus interested in-comers
Links to Other Data
• Health
– Energy poverty, air quality, room temperatures

• Economy
– Leicester the place to invest for low carbon
technologies
– Businesses more energy efficient –so running costs
lower

• Education
– All local schools are “outstanding schools”, so pupils
walk to their local school so reducing transport energy
and local pollution
Issues to addressed from the outset
• Data privacy
– Data is anonymous and people providing the data
are well informed

• Data Security
– Security is essential requirement. People not able
to “hack into system” and switch all freezers off
Green Segment
• Proposal to
integrate city
centre and
suburban
issues, use
‘Green
Segment’
concept
Green Segment Components
•

Low Carbon Zone :
–

Strict building/refurb.
Codes
•

–
–

LED street lighting
Integrated train and
bus services
•
•

–

–

Location
Smart card

Pedestrian + Zero
Emission Vehicle
streets
•

–

Connect to CHP or
renewable
generation

FREE Park &
Charge points

1-way, per mile Battery
Electric Vehicle hire
Hydrogen Car Club
•

•
•

Discounts for
Battery Electric
Vehicle owners
Overcomes range
anxiety
Smart Grid
enabling

Wind
Turbine +
PV farm

BEV (LCC
fleet) charging
from CHP

Satellite
logistics
hub

CHP
from
waste
Low-C
manufacturing
hub
Many workers
from Beaumont
Leys live here

Low
Carbon
Zone

Smart grid
trials
(Wattbox)
Low carbon
residential
buildings
Hythane
(grid to gas)
for homes
BEV (domestic)
charging from
smart grid

Square
Mile
project

Railway
Station
Data
• Major opportunities to use data to help
improve economy and health of the city
4. Smart Spaces – Leicester
Pilot sites map
Services

• Energy Decision Support and Awareness Services (EDSS),
– Delivering direct timely and comprehensible feedback on the
impact of behaviour on a full range of energy uses
– Enabling professionals / staff / visitors of public buildings to
avoid existing energy waste

• Energy Management Services (EMS)
– Using automatic control systems for production, (local)
distribution and consumption
– Using remote control
EU Municipal Buildings
• Multiple and diverse buildings (c 500) and staff (c 11,000)

Automatic Meter Readers collecting data
(c 2000)
Potential for 10% savings on energy
wastage
– € 1.2 million per year
Day+1 half-hourly data
c 36.8 million bits of data per year
(but what to do with it?)
User Engagement
• Focus groups collecting requirements

Logical
View

Development

View
Scenarios

• Two iterations for:

Process
View

Deployment
View

– Requirement collection, prioritisation and use case
tracing
– Use Case collection and drafting

• Some detail:

SMARTSPACES SERVICES – OVERVIEW OF USE CASES

– >500 Individuals involved in system outline
– >300 Requirements collected
– 49 generic Use Cases defined in 4 layers

Multi-level
L ighting /Dim
ming

Daylight
Harvesting

Peak
shaving
Supply

Network
Diagnostic
and
Operations

Visual
Incentive
Servic e
Availability

Occupancy
Sensing

Peak
Prevention

Domain
Operations

Storage
Maintenanc e

Servic e
Acc essibility

Peak
c ontrol
Authorisation
check
Peak
shaving
Demand

BEMS

SERVICE
PROVIDER
Manage
Schedules

Manage
Alarms

Add
User

Update
Content

Delete
Content

Add
Content
Manage
C ontent

Update
building
configuration

Metering
Equipment
Administra
tion

Building
Administ
ration

PROFESSIONAL
Export
C onsumption
Information

INHERITANCE

SERVIC E
PROVIDER

Benchmark
C onsumption

Configure
Personalised
Dashboard

Change
zone
settings
Manage
Settings

C onsumption
activity

Energy C oach
Communication

View
Report

L ogin

STAFF
Give
Feedback

Action
Awareness

Share
Explore

PROFESSIONAL

Resource
Awareness

Subscribe
Get
Advice
STAFF

Awareness
Interac tion

Get
Visitor ’s
Pass

VISITOR
VISITOR

Register
New
Metering
Equipment
Metering
Equipment
Report

Event
Reac tion

Plan
Occ upanc y

Activate/Deac
tivate
Metering
Equipment

Register
Leicester Pilot
•
•
•
•
•
•
•
•

5 x university
7 x leisure centres
7 x schools
2 x community
1 x concert hall
1 x museum
1 x office
1 x library

• Existing metering network provides data to
energy professionals
• smartspaces will make these data available
to all building users
• Aim is to facilitate a change in culture and
achieve carbon savings
Approach:
Use Cases Testing

• Questionnaire Based Assessment
– To evaluate the case studies. To assist in the assessment of each case study
questionnaires were provided to each focus group outlining each test case with a
common evaluation framework.

• The “Feedback” Loop
•
•

The testing was designed to assess the use
cases with test cases (feedback
The Process Models were assessed using
the question “Did you follow the process
as set out above?”
Approach
• Look for effects at three levels:
– institutional-level effects and drivers (which aspects of
Energy Decision Support and Awareness Services
EDSS/ Energy Management Services EMS)?
– individual-level effects and do these help explain what
features of the Energy Decision Support and
Awareness Services EDSS has most impact/what the
barriers were?
– effects at the social-level? e.g. Was there social
interaction and is this reflected in a change of norms?
Simplicity through sophistication
Advanced consumption modelling produces a reliable, simple indicator. This is
used to generate “smartfaces”. The key information is provided in an
immediate, user-friendly format. There is no need for interpretation, users
can absorb the information in a few seconds.
Community building
Dynamic content creates interest
Report problems
Identify solutions
Active discussions
Show off best practice
Build a community
Makes co-ordinated action possible
A small number of active users
The majority of users are passive
Challenges and Goals
• A vibrant comments section is essential but...
• It is likely that most users will NOT contribute
– It is possible that none will
– The comments section could be perpetually empty
– The system will appear abandoned

• Ideas
–
–
–
–

Recruit ‘champions’ for each building to seed discussions
User group sessions in each building
Continually create content in initial stages
Target of 100 active users is less than 3% of the total

Live Demo www.smartspaces.dmu.ac.uk
LLEIDA
Application

Different uses of the application
Service
provider

Staff building

Visitors

Data server

Data and Servers
Connectivity

Application features

Building
professional

Application server

Database: PostgreSQL
Scalability: Yes
Security: Data encryption, access ctrl.

Web Server: IIS 7.5

Technology: .NET
Security: Firewalls, access control

Router

Corversor
ZigBeeModbus

Ethernet

Router

Data collecting

Dexgate
Hermes LC2
GPRS/GSM

Modbus
Modbus

Xenta 511

Pulse

ZigBee
Public Weather
Station data

Electric Utility meter
with modem

Temperature
humidity

Electric meter

Gas Utility meter

Existent
Schneider
SCADA
5. Engaging young people
Staff and Student Training
Inspirational Visits
Workshops
Thermal Imaging
Capturing Design
Requirements
Discussing Ideas with Experts
What can you remember from the
sustainability workshops
What are the 5 principles of low-energy building
design?
– Insulation
– Site Orientation and the use of natural daylight
– Minimizing energy demand
– Ventilation
– Renewable Energy
Results of Engagement
6. Next Steps
Implementation
• Technology
– Energy efficiency
– Renewable energy
– Monitoring
– Smart meters
– Smart transport

• People
– Share data
– Make more informed decisions
Smart Cities
•
•
•
•
•

Move from buildings to cities
Electricity network
Heat networks
Energy storage (heat and electricity)
Monitoring and feedback
– Buildings, transport,
– People, social media

• Local and County role

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Paul Fleming a Coenercat, sessió de Girona (28.11.2013)

  • 1. Prof Paul Fleming Director of Sustainable Development De Montfort University Leicester
  • 2. Local and County 1. 2. 3. 4. 5. 6. Background Leicester Smart Cities SmartSpaces – Leicester Engaging with young people Next Steps
  • 4. Strategy • • • • Leadership Emissions inventory Action plan Implementation – New developments – Existing development – Ongoing management • People
  • 5. Guidance • Energy Cities • ICLEI • Climate Alliance • Fedarene • Covenant of Mayors Covenant of Mayors Committed to local sustainable energy
  • 7. Energy and Greenhouse gas related Data • • • • Reducing our carbon footprint New employment opportunities Health and pollution Quality of Life • Ethical and privacy issues • Data security issues
  • 8. ENERGY? • • • • Heat and power our homes Heat and power businesses Move us around Produce goods and services • Linked to most things we do • Not just technical problem
  • 9. ENERGY SERVICES • We do not want gas or electricity – we want heat, light, power and mobility • Low unit energy costs • Affordable energy service
  • 10. NON TECHNICAL BARRIERS • How do you overcome non-technical barriers? • How do you implement energy efficiency improvements? • How do you implement renewable energy systems? – Attitudes and behaviour – Decision Makers – Public Dialogue
  • 11. IMPLEMENTATION “Boring” Energy Efficiency measures • Time controls • Heating controls • Lighting controls • Thermal insulation • Energy-efficient equipment “Exciting” renewable • PV • Solar thermal • Biomass • wind
  • 13.
  • 14. Ambitious vision • 1990 UK’s First Environment City • 50% emissions reduction by 2025 based on 1990 levels • Leicester as a low carbon city – homes – Non-domestic buildings – Waste – Transport – Public engagement
  • 15. Long history • 1990, Leicester, UK first environment city • 1992, Leicester, received honours at the Earth summit in Rio de Janeiro • 1995, Leicester, European sustainable city • 2003, Leicester. Climate change strategy • 2010, low carbon city key priority of newly elected Mayor • 2012, launch of the citywide combined heat and power scheme
  • 16. Citywide • • • • • • Planning Regulations Combined heat and power Cavity wall insulation External wall insulation Solar thermal Solar photovoltaic • Smart grids • Attitudes and behaviour • Community energy schemes
  • 17. Making Leicester a low carbon city
  • 18.
  • 20. Smart Cities: Integrative Approach • Focus on the data on the physical structure of the city Jobs • Buildings – – – – Residential Commercial Industrial Public Technology • External Spaces – – – – Functional Wellbeing Aesthetic Environment Efficiency Wealth Ideally, the structure and systems of the city optimise all these Wellbeing • Thoroughfares – – – – Location Layout Access Mobility Behaviour Health Environment
  • 21. Data • Energy Supply – – – – Fossil fuel electricity Renewable electricity Fossil fuel heat Renewable heat • Energy Demand (temperature and other data) – Homes – Business – transport • Air Quality – Locally measures – Satellite • Other Data? • Map supply and demand across the City. – Whole System, based on individual businesses and modes of travel – City wide combined heat and power scheme, energy storage – “Shift” demand to different times of the day
  • 22. Carbon Sequestration data • Carbon stored in soils • Carbon stored in open spaces • Carbon stored in trees
  • 24. Smart Grids: Communications & Intelligence • What signals are required? – – – – • Frequency: indicates national supply/demand balance Voltage: due to local grid constraints Price: e.g. Time of Use tariff Other status and/or control signals What method of communication is most effective? – – – – – – GPS Internet Power Line Communication (PLC) Downstream status monitoring Control box with WiFi/Bluetooth/ZigBee Smart meters
  • 25. Cross-Sectoral Integration • Until recently power, thermal and transport sectors have been relatively separate and self-contained – Due to the dominance of a different fuel type for each • Oil and natural gas are becoming less sustainable – Due energy security and climate change issues • So where else can we get the energy from for the transport sector? • Gas will be available for decades, coal for longer – But it must incorporate Carbon Capture and Storage (CCS) • In a low carbon energy system, the sectors merge – Primary supply will be increasingly electricity based • Power sector: supply from renewables, nuclear, ‘clean’ coal/gas • Transport sector: electric vehicles and electrolytic hydrogen production use grid power • Thermal sector: heat pumps, ‘storable’ electric heating/cooling
  • 26. Buildings and Transport Integration • Net zero-energy only feasible in highly efficient buildings in low-density areas – Building-integrated renewables not sufficient for high-rise or energy hungry buildings (e.g. hospitals) – However, avoid incentivising urban sprawl • • • Increases car dependence and transport energy use Public transport not economical in low-density urban areas Off-site supply of electricity – Usually less expensive than on-site PV (solar photo voltaic) • Achieves more CO2 mitigation per £ – However: • • • • PV electricity is becoming more competitive Competes against the retail price Improves grid reliability by relieving bottlenecks Smart EV (electric vehicle)charging – – – – Eliminate emissions cased by transport from urban sprawl Improve efficiency of transport from urban sprawl Maximise benefit of PV by avoiding export to grid (mobility is high value service) Improve (heat led) CHP (Combined Heat and Power) performance by balancing electrical supply
  • 27. What Are We Trying to Achieve? Slid e 27
  • 28. Dispatchable Demand • The demand side solution – Time-shifting of demand • ...with intrinsic energy storage capability – What methods of control? • Active customer participation? • Automatic (‘invisible’) control? • Centralised or local control? – Current focus is on • Domestic loads & electric vehicle charging • Demand levelling • Short-period time-shifting – also addresses • Industrial demand response – Especially in hydrogen fuel production • Supply matching • Long-period time-shifting
  • 29. Example of modelling results • • Proportional prosumer response – initial findings (“milestone version”) Domestic demand flattening achieved: – Intermediary ‘Smart Signal’ eliminates instabilities seen in other models that use price optimisation strategy for domestic customers 3000 Price optimising response creates instabilities 2500 2000 1500 1000 500 0 0 5 10 15 20 25 Baseline demand (1000 prosumers, kW) 30 35 40 45 ‘Smart Signal’ reduces peakmean ratio
  • 30. Detailed data • Energy and water meters – Remote switching of “non essential loads” – Automatic, remote charging of electric vehicles. • Data for homes and businesses – Temperature data from bedrooms – Smart spaces example, engaging with non domestic building users via social media • Transport – Vehicle and bus movements, traffic flows and car parks etc • Air Quality – Satellite data, providing local information
  • 31. Data available to public • Virtual power plant - supply and demand in Leicester • Homes – Database of home with real time (or day plus one) data? – Compare with similar house types. • Lifestyle is key issue
  • 32. Conflicts • Local renewable (biomass) and local air quality?
  • 33. Smart Cities: Jobs and Wealth Creation • Business opportunities – – – – – • Growing cleantech sector Construction (and operation) Service orientated (more people, less materials) International markets Leadership New business models – Services • • • • • • – Energy services Car clubs, etc System integration Operation and maintenance Skills and training Free Electric Vehicle ownership is even being used as a sales incentive in the property market! Manufacture • • • • • High tech (high added value) Offsite construction of buildings Offsite production of bespoke, modular, retrofit assemblies for low-carbon refurbs. Series production of low carbon vehicles Existing local expertise, plus interested in-comers
  • 34. Links to Other Data • Health – Energy poverty, air quality, room temperatures • Economy – Leicester the place to invest for low carbon technologies – Businesses more energy efficient –so running costs lower • Education – All local schools are “outstanding schools”, so pupils walk to their local school so reducing transport energy and local pollution
  • 35. Issues to addressed from the outset • Data privacy – Data is anonymous and people providing the data are well informed • Data Security – Security is essential requirement. People not able to “hack into system” and switch all freezers off
  • 36. Green Segment • Proposal to integrate city centre and suburban issues, use ‘Green Segment’ concept
  • 37. Green Segment Components • Low Carbon Zone : – Strict building/refurb. Codes • – – LED street lighting Integrated train and bus services • • – – Location Smart card Pedestrian + Zero Emission Vehicle streets • – Connect to CHP or renewable generation FREE Park & Charge points 1-way, per mile Battery Electric Vehicle hire Hydrogen Car Club • • • Discounts for Battery Electric Vehicle owners Overcomes range anxiety Smart Grid enabling Wind Turbine + PV farm BEV (LCC fleet) charging from CHP Satellite logistics hub CHP from waste Low-C manufacturing hub Many workers from Beaumont Leys live here Low Carbon Zone Smart grid trials (Wattbox) Low carbon residential buildings Hythane (grid to gas) for homes BEV (domestic) charging from smart grid Square Mile project Railway Station
  • 38. Data • Major opportunities to use data to help improve economy and health of the city
  • 39. 4. Smart Spaces – Leicester
  • 41. Services • Energy Decision Support and Awareness Services (EDSS), – Delivering direct timely and comprehensible feedback on the impact of behaviour on a full range of energy uses – Enabling professionals / staff / visitors of public buildings to avoid existing energy waste • Energy Management Services (EMS) – Using automatic control systems for production, (local) distribution and consumption – Using remote control
  • 42. EU Municipal Buildings • Multiple and diverse buildings (c 500) and staff (c 11,000) Automatic Meter Readers collecting data (c 2000) Potential for 10% savings on energy wastage – € 1.2 million per year Day+1 half-hourly data c 36.8 million bits of data per year (but what to do with it?)
  • 43. User Engagement • Focus groups collecting requirements Logical View Development View Scenarios • Two iterations for: Process View Deployment View – Requirement collection, prioritisation and use case tracing – Use Case collection and drafting • Some detail: SMARTSPACES SERVICES – OVERVIEW OF USE CASES – >500 Individuals involved in system outline – >300 Requirements collected – 49 generic Use Cases defined in 4 layers Multi-level L ighting /Dim ming Daylight Harvesting Peak shaving Supply Network Diagnostic and Operations Visual Incentive Servic e Availability Occupancy Sensing Peak Prevention Domain Operations Storage Maintenanc e Servic e Acc essibility Peak c ontrol Authorisation check Peak shaving Demand BEMS SERVICE PROVIDER Manage Schedules Manage Alarms Add User Update Content Delete Content Add Content Manage C ontent Update building configuration Metering Equipment Administra tion Building Administ ration PROFESSIONAL Export C onsumption Information INHERITANCE SERVIC E PROVIDER Benchmark C onsumption Configure Personalised Dashboard Change zone settings Manage Settings C onsumption activity Energy C oach Communication View Report L ogin STAFF Give Feedback Action Awareness Share Explore PROFESSIONAL Resource Awareness Subscribe Get Advice STAFF Awareness Interac tion Get Visitor ’s Pass VISITOR VISITOR Register New Metering Equipment Metering Equipment Report Event Reac tion Plan Occ upanc y Activate/Deac tivate Metering Equipment Register
  • 44. Leicester Pilot • • • • • • • • 5 x university 7 x leisure centres 7 x schools 2 x community 1 x concert hall 1 x museum 1 x office 1 x library • Existing metering network provides data to energy professionals • smartspaces will make these data available to all building users • Aim is to facilitate a change in culture and achieve carbon savings
  • 45. Approach: Use Cases Testing • Questionnaire Based Assessment – To evaluate the case studies. To assist in the assessment of each case study questionnaires were provided to each focus group outlining each test case with a common evaluation framework. • The “Feedback” Loop • • The testing was designed to assess the use cases with test cases (feedback The Process Models were assessed using the question “Did you follow the process as set out above?”
  • 46. Approach • Look for effects at three levels: – institutional-level effects and drivers (which aspects of Energy Decision Support and Awareness Services EDSS/ Energy Management Services EMS)? – individual-level effects and do these help explain what features of the Energy Decision Support and Awareness Services EDSS has most impact/what the barriers were? – effects at the social-level? e.g. Was there social interaction and is this reflected in a change of norms?
  • 47. Simplicity through sophistication Advanced consumption modelling produces a reliable, simple indicator. This is used to generate “smartfaces”. The key information is provided in an immediate, user-friendly format. There is no need for interpretation, users can absorb the information in a few seconds.
  • 48. Community building Dynamic content creates interest Report problems Identify solutions Active discussions Show off best practice Build a community Makes co-ordinated action possible A small number of active users The majority of users are passive
  • 49. Challenges and Goals • A vibrant comments section is essential but... • It is likely that most users will NOT contribute – It is possible that none will – The comments section could be perpetually empty – The system will appear abandoned • Ideas – – – – Recruit ‘champions’ for each building to seed discussions User group sessions in each building Continually create content in initial stages Target of 100 active users is less than 3% of the total Live Demo www.smartspaces.dmu.ac.uk
  • 50. LLEIDA Application Different uses of the application Service provider Staff building Visitors Data server Data and Servers Connectivity Application features Building professional Application server Database: PostgreSQL Scalability: Yes Security: Data encryption, access ctrl. Web Server: IIS 7.5 Technology: .NET Security: Firewalls, access control Router Corversor ZigBeeModbus Ethernet Router Data collecting Dexgate Hermes LC2 GPRS/GSM Modbus Modbus Xenta 511 Pulse ZigBee Public Weather Station data Electric Utility meter with modem Temperature humidity Electric meter Gas Utility meter Existent Schneider SCADA
  • 52. Staff and Student Training
  • 58. What can you remember from the sustainability workshops What are the 5 principles of low-energy building design? – Insulation – Site Orientation and the use of natural daylight – Minimizing energy demand – Ventilation – Renewable Energy
  • 61. Implementation • Technology – Energy efficiency – Renewable energy – Monitoring – Smart meters – Smart transport • People – Share data – Make more informed decisions
  • 62. Smart Cities • • • • • Move from buildings to cities Electricity network Heat networks Energy storage (heat and electricity) Monitoring and feedback – Buildings, transport, – People, social media • Local and County role