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Leapfrogging energy system
flexibility for integrating high
share of renewable electricity
Peter D. Lund 1Aalto University, School of Science Espoo-Otaniemi, Finland [email protected]
IEEE SEGE 2013, Oshawa 28-30 August 2013
Global energy & climate nexus
Sustainable energy transition
Energy systems innovations
Cases on high RE share
Outline
Dynamics of the global
energy system
Peter Lund 2013
The Energy-Climate
challenge ahead
in simple terms
Peter Lund 2013
I. Fossil fuels >80% of energy, oil>98% of traffic
II. Coal (power) and oil (traffic) 80% of CO2
III.Goal: CO2 down by 60% 2050, >80% in industrialized countries
IV. 65% of energy used in cities(80% in2040)
V. Energy issues shifting from industrialized countries to emerging economies, e.g. in Asia
Current trend: New record in
human carbon emissions 2012
Peter Lund 2013 Lhde : IEA, 2012
1990 2035
45
Gt
20
22 Gt
CO2
20% of population use 80% of all [energy] resources 1/2 of all people earn less than 2$ a day
Peter Lund 2013
Energy technology
options by 2050 (IEA 2008)
Ref: IEA, Energy Technology Perspectives, 2008
Renewable electricity is
more than adequate to
supply 80% of U.S.
electricity in 2050;
Increased electric system
flexibility is needed
(supply- and demand-side
options);
Multiple combinations of
renewable technologies
possible.
U.S. Renewable Electricity
Futures Study (RE Futures)
Peter Lund 2013
Source: NREL: Exploration of High-Penetration Renewable Electricity Futures, 2012
Trends in new energy
- growing markets and falling prices
Peter Lund 2013
0.1
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Cu
mu
lati
ve v
olu
me, M
W
Pri
ce
, $/W
Progress in solar PV and wind power
price (PV) price (wind) volume (PV) volume (wind)
Take-off of Solar PV?
Peter Lund 2013
Ref Lund PD. Fast market penetration of energy technologies in retrospect with application to clean energy futures. Applied Energy (2010), doi:10.1016/j.apenergy.2010.05.024; P.D. Lund:Exploring past energy changes and their implications for the pace of penetration of new energy technologies. Energy 35 (2010) 647656
PV share of world electricity 2013 < 1%; By 2050: 5% (slowing progress) 25% (fast-track)
10% of world electricity 2050
20% of world electricity 2050
Several studies and scenarios indicate high future market
shares of renewable energy and electricity
Peter Lund 2013
Shifting to sustainable energy
Distributed and renewable energy
generation technologies
Peter Lund 2013
Distributed power topology
Peter Lund 2013
http://www.google.fi/imgres?imgurl=http://www.nicholas.duke.edu/thegreengrok/graphics/electricity-graphic/image&imgrefurl=http://nicholas.duke.edu/thegreengrok/smartgridpt1&usg=__bwruLvnZSsedsUdVMyR7tQwbC8U=&h=211&w=600&sz=49&hl=fi&start=0&zoom=1&tbnid=7gix3sE1foPhYM:&tbnh=67&tbnw=190&ei=0MU2TdXEJcSl8QPVpfiCDA&prev=/images?q=distributed+electricity+generation&hl=fi&sa=X&rls=com.microsoft:fi:IE-SearchBox&rlz=1I7SUNA_en&biw=1255&bih=730&tbs=isch:1&prmd=ivns&itbs=1&iact=hc&vpx=727&vpy=451&dur=3485&hovh=133&hovw=379&tx=183&ty=86&oei=0MU2TdXEJcSl8QPVpfiCDA&esq=1&page=1&ndsp=22&ved=1t:429,r:20,s:0http://www.google.fi/imgres?imgurl=http://midwestgreenenergy.com/images/PV-GridSystem2.jpg&imgrefurl=http://midwestgreenenergy.com/howdoespvwork.html&usg=__bF7PFSvqmoTA3b_TgNdfhLvwSwY=&h=275&w=441&sz=19&hl=fi&start=0&zoom=1&tbnid=V86cm7QY3iCgbM:&tbnh=131&tbnw=210&ei=WcY2TeqQN8S48gPLgvyTDA&prev=/images?q=grid+connected+PV&hl=fi&sa=X&rls=com.microsoft:fi:IE-SearchBox&rlz=1I7SUNA_en&biw=1255&bih=730&tbs=isch:1&prmd=ivns&itbs=1&iact=hc&vpx=345&vpy=86&dur=1362&hovh=177&hovw=284&tx=186&ty=101&oei=WcY2TeqQN8S48gPLgvyTDA&esq=1&page=1&ndsp=20&ved=1t:429,r:1,s:0http://www.google.fi/imgres?imgurl=http://www.pvsystem.net/~k.otani/data/bipvphoto/98030827.jpg&imgrefurl=http://www.pvsystem.net/~k.otani/data/bipvphoto-e.htm&usg=__buYzCbD9Cf6HUHQ820pgp9ysz7Q=&h=480&w=640&sz=42&hl=fi&start=0&zoom=1&tbnid=60MFkn4_wslTJM:&tbnh=131&tbnw=174&prev=/images?q=Building+integrated+PV&hl=fi&sa=X&rls=com.microsoft:fi:IE-SearchBox&rlz=1I7SUNA_en&biw=1255&bih=730&tbs=isch:1&prmd=ivns&itbs=1&iact=rc&dur=400&ei=W8A2TYKhKcnA8QO3rc2WBA&oei=LMA2TcWLIoy28QPr95W9Aw&esq=10&page=1&ndsp=25&ved=1t:429,r:10,s:0&tx=132&ty=48http://www.google.fi/imgres?imgurl=http://www.burnsmcd.com/portal/pls/portal/docs/1/196589.JPG&imgrefurl=http://www.burnsmcd.com/portal/page/portal/451B9DA9BEEC304BE040030A1B0D57A7&usg=__EQCvK55pHUHgAYF_cmuxuksJ120=&h=216&w=324&sz=34&hl=fi&start=25&zoom=1&tbnid=FEq3EXJ9xQIVJM:&tbnh=114&tbnw=171&prev=/images?q=Building+integrated+PV&hl=fi&sa=X&rls=com.microsoft:fi:IE-SearchBox&rlz=1I7SUNA_en&biw=1255&bih=730&tbs=isch:1&prmd=ivns&itbs=1&iact=rc&dur=0&ei=pending&oei=LMA2TcWLIoy28QPr95W9Aw&esq=2&page=2&ndsp=26&ved=1t:429,r:0,s:25&tx=133&ty=78
RE (PV) resource variability
on different time scales
0
100
200
300
400
500
600
700
800
900
0 5000 10000 15000 20000 25000 30000 35000
Ho
url
y an
d d
aily
glo
bal
rad
iati
on
(W
/m2
)
0
100
200
300
400
500
600
700
800
900
0 20 40 60 80 100 120 140
Ho
url
y an
d d
aily
glo
bal
rad
iati
on
(W
/m2)
Yearly Daily
Hourly 0.1 sec
Temporal market effects from
large-scale RE (Germany)
(c) Peter Lund 2013
Spatial effects from RE
schemes
Peter Lund 2013
Large-scale RE schemes require
systemic bridging innovations
Peter Lund 2013
Old 100% New 100%
New 0% Old 0%
Multi-energy networks Flexible demand
EV,ICT
Storage E2T,V2G,E2Gas
How does the energy system
work with much renewable energy?
Smart infrastructures provide
spatiotemporal flexibility
Peter Lund 2013
Smart built environment provide
spatiotemporal flexibility
Peter Lund 2013
Energy systems perspective to
high-shares of RE power
Q1: matching supply and demand of electricity with RE sources
Q2: integrating distributed RE power into the energy system
Examples of solutions:
1. RE in urban context
2. Grid infrastructures
3. Smart Grids
4. Electricity markets
5. Co-generation (CHP)
6. RE coupled with end-use
7. Electricity-to-Gas
8. RE+Gas integration
9. Demand flexibility
10.Storage
Peter Lund 2013
5 3
1
2
4
7
8
9
6
10
http://www.google.fi/imgres?imgurl=http://www.renewbl.com/wp-content/uploads/2010/12/masdar-city.jpg&imgrefurl=http://www.renewbl.com/2010/12/06/first-masdar-city-building-completed-features-1-mw-solar-rooftop-installation.html&usg=___tbgfcooGcyAElU9bQcuH_acXpU=&h=462&w=600&sz=111&hl=fi&start=120&zoom=1&tbnid=QW3yOqD0TeJfQM:&tbnh=127&tbnw=165&ei=5ME2TZjWNsao8AO2ws2DDA&prev=/images?q=Masdar&hl=fi&sa=X&rls=com.microsoft:fi:IE-SearchBox&rlz=1I7SUNA_en&biw=1255&bih=730&tbs=isch:1&prmd=ivns&itbs=1&iact=rc&dur=0&oei=sME2TcLJHs6s8QOGzMWLDA&esq=6&page=6&ndsp=24&ved=1t:429,r:12,s:120&tx=108&ty=93
Peter Lund 2013
Simple control of large-amounts of RE:
Ex. Curtailing PV power
0 %
20 %
40 %
60 %
80 %
100 %
0 % 20 % 40 % 60 % 80 % 100 % Red
ucti
on
in
so
lar
yie
ld
Power cut-off limit (% of nominal PV power installed)
Peter Lund 2013
Examples of
grid extension
plans in
Europe
Integrated electricity market
a Nordic system innovation for large-scale use variable renewables
Nordic electricity market has a common power reserve which can be accessed through the power exchange
How much wind power is possible without major reserve power increase?
If wind 10% of all electricity extra cost for reserve power is 1 /MWh
If 20% 1-7 /MWh (source: H.Holttinen, VTT)
Vision: 20-25 % of all Nordic electricity wind power by 2030; Norwegian hydropower buffers
Peter Lund 2013
REF IEA 2012
RE&Gas: better power plant flexibility
A
B C
Ref. Wrtsil, Smart
Power Generation, 2011
Ref. IEA, Golden Rules
for a Golden Age of Gas
Final energy in urban environment
thermal energy forms dominate end-use side
Final energy use forms in buildings: heating, cooling, electricity
EU-27household energy:
Peter Lund 2013
67 %
15 %
14 % 4 %
Space heating
Appl&Light
Hot water
Cooking
Electricity-to-thermal conversion of
surplus renewable electricity
Peter Lund 2013
Picture: Helsinki Energy Annual Report 2010
Peter Lund 2013
How much wind power could
be utilized in Helsinki?
Generating spatiotemporal (load)
profiles (x,y,t)
Peter Lund 2013
Annual load per type
1 5 9 13 17 21
Typical hourly load profiles per type
1 5 9 13 17 21
Total hourly load profile over a year
(x,y)-distributions e.g. building type
Scaled
profiles Fitted
profiles
Spatiotemporal
loadprofile (x,y,t)
Peter Lund 2013
Electric (left) and District Heating
Networks and Loads (right) in Helsinki
Matching power demand and supply
each hour of the year!
Peter Lund 2013
0 %
10 %
20 %
30 %
40 %
50 %
60 %
70 %
80 %
90 %
100 %
Tuu
livo
iman
tu
nti
-ja
viik
oar
vot
[su
ht.
teh
o]
winter summer autumn
winter summer autum
Helsinki power demand Wind power production
Win
d p
ow
er
variation
(re
l. u
nits)
486 MW
How does wind power match demand?
Wind = power and heat demand 1349 MW wind power = 71% of electricity per year (2% of heat)
Ref: R. Niemi, J. Mikkola, P.D. Lund: Urban energy systems with smart multi-carrier energy networks and renewable energy generation. Renewable Energy, 2012. Ref: Lund, P. : Large-scale urban renewable electricity schemes - integration and interfacing aspects. Energy Conversion and Management, 2012
Wind power supply
Heat demand
Electricity demand
1349 MW
Wind = power demand 486 MW wind power = 25% of yearly electricity in Helsinki
Worst day for wind power: Feb 6
Peter Lund 2013
Peter Lund 2013
Mismatch between PV and electricity
demand case Shanghai
Different levels of PV
Ref: Lund, P. : Large-scale urban renewable electricity schemes - integration
and interfacing aspects. Energy Conversion and Management, 2012
Smart energy may 2-3 x feasible PV capacity in Shanghai Base case (PV peak equals to electric load): 31% daily energy share, 25% of yearly electricity share Advanced case (PV peak equals to total load: 50-70% of daily energy demand (40-55% of yearly electricity)
Example of power distributions with
large PV schemes in Shanghai
Peter Lund 2013
Niemi, R., Mikkola, J., Lund P., Urban energy systems with smart
multi-carrier energy networks and renewable energy generation,
Renewable Energy 48 (2012) 524-536.
Pushing the share of RE power
2-3-fold beyond the traditional limit
Peter Lund 2013
Electricity-to-Thermal strategy: RE system is oversized, surplus turned into and stored as thermal energy (heat or cold) ; or curteiled
Ref: Lund,P.: Large-scale urban renewable electricity schemes - integration and interfacing aspects. Energy Conversion and Management, 2012
0 20 40 60 80 100
Shanghai, China (solar)
Dhahran, Saudi-Arabia (solar)
Helsinki, Finland (wind)
Share of renewable energy,%/a
4 RE provides 100% of daily cooling demand during peak RE conditions
3 RE provides 100% of daily heat demand during peak RE conditions
2 RE matches hourly demand of electricity and heat during peak RE conditions
1 RE matches hourly demand of electricity during peak RE conditions
1 2
3 4
Base case
Electrified vehicles providing
electricity servives (E2V, V2G)
Peter Lund 2013
Tesla Motors - Model S lithium-ion battery pack
Source IEA
Key parameters for the simulation:
battery capacity10 kWh
electricity consumption 0.2 kWh/km
charging efficiency 0.9
power coefficient @ home: kW
power coefficient @ work: kW
sockets: plenty (no queuing)
socket power limit 7.4 kW
battery recharge limit: 1-hour 0100%
EV & PV & Grid
Case Helsinki Metropolitan region Area (1 million people)
Peter Lund 2013
Maximum PV power overflow at peak conditions:
on consumption
and evenly
100% of PV placed
based on load
100% of PV evenly
placed
0 EVs 50,000 EVs (a 10kWh) 100,000 EVs
Large-scale PV+EV case for Helsinki:
2 GWp PV (1/3 of yearly demand, 6x min. summer demand)
EXTRA
Peter Lund 2013
How to build your own
power plant in 1 minute ?
Peter Lund 2013
http://vimeo.com/66544428
http://vimeo.com/66544428http:///http://vimeo.com/66544428
Peter Lund 2013
1 wind turbine = 3-10 GWh electricity
(ca1000-3000 households)
Peter Lund 2013
Wind power: now 3 % of world electricity, 25% in 2050 ? Costs may drop by
Solar electricity (PV) : % of world electricity ($100 B business), 5-25% in 2050; Price
Mass-production (roll-to-roll) of
solar cells
Peter Lund 2013
Source: Janne Halme
Fuel
Electrochemical conversion of fuel to electricity
Fuel Cell (solid oxide fuel cell)
electrolyte
O2 + 4e- = 2 O2-
2 O2- + 2 H2 = 2 H2O + 4 e-
4 e-
anode
cathode
O2-
Courtesy Bin Zhu
Oxidant
Peter Lund 2013