Anders Troi - Open Smart City 2012
Post on 28-Nov-2014
904 Views
Preview:
DESCRIPTION
Transcript
Welcome to Open Smart City 2012
Anders Troi
Head of Intelligent Energy Systems
DTU Electrical Engineering, Technical University of Denmark Intelligent Energy Systems 2
Anders Troi M.Sc. Ph.D. Head of Intelligent Energy Systems
2010 Risø DTU - Head of Intelligent Energy Systems
1997-2010 Siemens A/S - 1989-1996 ABB A/S
Heading iPower , a national Research and Innovation platform developing methods, tools, systems and products for Smart grid.
Chairman of the Danish Government Smart Grid council with special responsibility for Research, Development and Demonstration projects.
EDISON Project ( Electric Vehicles), Cell Project, Next Gen, EV Infrastructure design etc.
Board Member of Danish EV Association
Risø DTU, Technical University of Denmark Risø DTU, Technical University of Denmark
History
• Hans Christian Ørsted founds the College of Advanced Technology, predecessor to the modern DTU, in 1829 with two degree programs: chemistry and mechanical engineering; civil engineering is added in 1857 and electrical engineering in 1903
• The name is changed to the Technical University of Denmark in 1933
• DTU Professor Henrik Dam receives the Nobel Prize in Chemistry in 1943 for discovering vitamin K
• DTU moves to a new campus in Lundtofte in 1963 that is officially inaugurated in 1974
• DTU merges with the Engineering Academy of Denmark in 1995
• In 2001, DTU achieves full financial and real property autonomy and a Board of Governors with a majority of external members that appoints the Executive Board
• Merged in 2007 with Risø National Laboratory, Danish Institute for Fisheries Research, Danish Institute for Food and Veterinary Research, Danish National Space Center and Danish Transport Research Institute
H.C. Ørsted
21.03
.2012
Facts about DTU 4
Total students ~8.500
including Ph.D. 1.200
and Int. M.Sc. 650
Research publications 3.600
Leiden Crown Indicator 2010:
no. 1 in Scandinavia
no. 7 in Europe
DTU Electrical Engineering, Technical University of Denmark
Education
6,560 BSc, MSc and BEng students, including
338 international MSc students
1.048 PhD fellows (3 years)
625 Exchange students (3–6 months)
290 DTU students abroad
Research
3,251 Research publications 1.978 Scientific articles i ISI journals 148 PhD dissertations
Innovation
73 Inventions reported 44 Patent applications submitted
Employees (head counts)
1,522 Faculty and research staff 1,562 Technical and administrativ personnel in departments 611 Administration, campus service
Public-sector consultancy
About 2000 consulting assignments
Finances
Income (2009): €540 million
From the annual report: key figures (dtu.dk)
Facts and figures
Study speed and retainment:
BSc: 67% finish within 3+1 year BEng: 54% finish within 3.5+1 year MSc: 92% finish within 2+1 year
DTU Electrical Engineering, Technical University of Denmark 17/04/2008 Presentation
6
Organisation
9 Research Groups
5 Centres In
tellig
en
t En
erg
y
Syste
ms
Ele
ctr
ic E
nerg
y S
yste
ms
Ele
ctr
ic C
om
po
nen
ts
New center
Au
tom
ati
on
an
d C
on
tro
l
PLAY
AD
DTU Electrical Engineering, Technical University of Denmark
DTU Electrical Engineering: Intelligent Energy systems
Basic and applied research in cooperation with Utilities and industry
• Current Research areas
SYSLAB
• Grid integration
• Modelling
• Experiments
Modelling of energy markets
• Optimisation of prices and investments
Storage technologies
Solar/ PV Wind
Flexhouse Diesel
E-Car Wind Storag
e 8
DTU Electrical Engineering, Technical University of Denmark
Electrical systems
Gas system
District heating net
Electrical Vehicles
Add. Electrical consumption
Heat pumps Heating Industry, process etc.
Fuel (Hybrid cars etc.)
Gas storage
Bio mass
S
ervic
es
S
YS
TE
M
Re
sso
urc
es
In
te
rn
atio
na
l
In
te
rn
atio
na
l
Fluctuating electricity
De
nm
ark
The future energy system Electricity, Gas, Heat …..
Risø DTU, Technical University of Denmark Risø DTU, Technical University of Denmark
The Energy Storage Landscape C
ap
ac
ity r
ati
ng
(k
Wh
-MW
h-G
Wh
-TW
h)
Securing
power quality
Shifting
night and day
Storing for
the weather
Leveling the
seasons
Supercaps,
Flywheels,
Batteries
Electric vehicles,
Heat pumps,
Battery's 2nd life,
Smart Grid
Central heat
storage, CAES,
Biomass,
Interconnectors
Central gas storage,
Electrolysis,
Interconnectors,
pumped hydro/
Energy Island
Within an hour Within a day Weeks to months Year
10
DTU Electrical Engineering, Technical University of Denmark 11 Intelligent Energy Systems
The future Energy System Fundamentals
• Market place
Understanding of market and customer behaviour.
• Power flow control Understand the power flow
and the congestion issues.
• Communication system
Data requirements and privacy issues.
• Consumer behaviour
Understand consumer
reaction and participation
Risø DTU, Technical University of Denmark Risø DTU, Technical University of Denmark
Energy Market and consumer reactions
• Professional customers to react to hourly prices would improve market efficiency, reduce price volatility, and increase welfare.
• Private customers need additional incentives.
• Danish tax policy must be considered, if a dynamic consumer market is desired.
• Price structures are dependant on the penetration of the technologies in the customer base.
DTU Electrical Engineering, Technical University of Denmark
Structure of power markets
Weeks to years Day before Hours before Operation hour
Financial
markets:
- Hedging,
speculation
- Forward, futures,
options
Auctioning of
transmission
capacity
Fuel contracts
Procurement of
ancillary services
Day-ahead
power market:
-Hourly contracts for
physical power
delivery
- Flow on
transmission lines
Estimate need for
reserve power
Procurement
reserve power
Intra-day
market:
- Rescheduling
production and
power exchange
Regulating
power market
(real-time market):
-Activation minute
reserves
Automatic
regulation
(spinning reserves)
DTU Electrical Engineering, Technical University of Denmark
Power system modelling – different time scales
Investment model
Balmorel
Intra-hour model
Unit commitment and dispatch model
Wilmar
Optimal portfolios
Hourly UC and
dispatch Up and down
regulation
Optimisation period
Yearly
Day-ahead
1-2 hours
DTU Electrical Engineering, Technical University of Denmark
SYSLAB – Distributed Energy System Laboratory –a part of
10+10+7kW 11kW
13*1kW 48kW/60kVA
10kW/7,2kWh 15kW/120kWh
10kW
Peugeot iOn
3kW/16kWhh
Back
to
back
Con-
verter
New ressources
2011-12
Aircon turbine
DTU Electrical Engineering, Technical University of Denmark
Cell Controller
Industry
Wind turbines
Local CHP units
Households
Households
Electric Vehicle
Power Exchange
Balance Responsible
Power Dealer
Electric Vehicle
Power Exchange
Balance Responsible
Power Dealer
Socio-
economi
c
and
investor
End
users
WP1 + WP2
WP3
WP4
WP6
WP5
16 Intelligent Energy Systems
20.03
.2012
Selected Research projects in Denmark from Cell Controller to EcoGrid and iPower
Cell Controller Pilot Project
DTU Electrical Engineering, Technical University of Denmark 17 Intelligent Energy Systems
20.03
.2012
EDISON project Electrical Vehicles in a smart Grid
Electrical Vehicles technology and infrastructure 8 Partners, (Universities, Small and Large Companies) Duration 3 years , 60 Mio DKK ~ 8 Mio. € ~ 11 Mio $ Risoe DTU / IES Experimental site and Charging concepts
First European
EV Project
• EV Communication
• Battery characteristics
• Charging Concepts
• Grid Impact
• VPP/Market place
• Demonstration
DTU Electrical Engineering, Technical University of Denmark
Intelligent Energy Systems 18
Electric Vehicles : The EDISON Project
Risø DTU, Technical University of Denmark Risø DTU, Technical University of Denmark KBE-2010 19
EDISON Risø
Smart Grids aspect: Capacity for EV charging Case study in 0.4 kV cable with 48 private houses in NRGi-Net, Horsens
Max. Capacity in cable
3 EV’s charging at the same time with 16 A 3-Phase in the Peak Hour at dinner time 18:00 !!
65 EV’s might charge their daily consumption if distributed between 16:00 and 7:00
High value of Smart Grids for balancing the grid !
EV are typical not home
in day hours
Risø DTU, Technical University of Denmark Risø DTU, Technical University of Denmark Intelligent Energy Systems 20
Nordic Electric Vehicle
Interoperability Centre
I Business Partners
and Project Participants
Copenhagen Cleantech
Cluster
The Danish EV Alliance
DONG Energy
Better Place
ChoosEV
CleanCharge
Independent test centre for
EV infrastructure
Semi commercial service
for EV business
DTU Electrical Engineering, Technical University of Denmark
Control policy classification for buildings
• External behavior:
• Reaction to signals:
• Direct control
• Indirect control
• Local signals
• Participation in markets
• Internal operation
• Decision making mechanism
• Behavior pattern
• Reaction to loss of a signal
• Architecture
DTU Electrical Engineering, Technical University of Denmark 23 Intelligent Energy Systems
20.03
.2012
Source: Based on drawing from Danish Energy Association
iPower Intelligent power and Demand response
Largest Danish
Smart Grid Project
• Research & Development
• Products/Solutions
• Identification
• Communication
• Demand Control
• Integration
Socio-
economic
and
investor
End users
WP1 + WP2 WP3
WP4
WP6
WP5
Developed and Headed by DTU Elektro
32 Partners, (Universities, Small and Large Companies)
Duration 5 years, 120 Mio DKK ~ 16 Mio. € ~ 22 Mio $
Cross Disciplinary Research and Innovation platform
DTU Electrical Engineering, Technical University of Denmark
The iPower platform focuses on power system integration of large amounts of electricity from fluctuating renewable energy sources such as wind power and photovoltaic’s by activation of flexible consumer demand.
The iPower platform links research and demonstration to
actual product development by specifying methods,
technologies and requirements for smart grid products, and
enables the industry partners to become first movers in a new
and growing world market.
Objective
DTU Electrical Engineering, Technical University of Denmark
Socio-economic
and investor
End users
WP1 + WP2
WP3
WP4
WP6
WP5
Source: Based on drawing from Danish Energy Association
iPower coverage area
DTU Electrical Engineering, Technical University of Denmark
Smart Grid requirements in
identification,
communication
demand control
integration
with small industry and households.
The intelligent interaction with many decentralized
prosumers, requires tools and systems to handle
the near-to-real-time market place
congestions
demand priorities
And requires understanding of Consumer Behaviour
Focus areas
Risø DTU, Technical University of Denmark Risø DTU, Technical University of Denmark
Partners and associates
32 Partners, 5 yrs , 120 Mio DKK ~ 16 Mio. € ~ 22 Mio $
Cross Disciplinary Research and Innovation platform
Risø DTU, Technical University of Denmark Risø DTU, Technical University of Denmark
Energy for the future
top related