2. CITYOPT
Holistic simulation and optimization
of energy systems in Smart Cities.
• EU FP7 funded R&D project
• 7 partners from the EU
• Total budget 3,8 million euros
• Feb 2014 – Feb 2017
CITYOPT project
2
3. CITYOPT 3
Organisation No,
short name, country
Business Activity RTD Role in project
1 VTT, Finland Research
organisation
Coordination. Applications development. Lead of optimization
methods.
2 AIT, Austria Research
organisation
Leader of specification activities
Contribution to applications development (optimization method,
system component modelling)
Contribution to the development of the virtual city model.
Implementation of the Viennese demonstration project
3 CSTB, France Research
organisation
Contribution to specification & CITYOPT applications
implementation
French case study implementation
Leader of evaluation activities
Leader of dissemination activities
4 EXP, Italy User experience and
design
Conduction of user research;
User interfaces design;
Leader of demonstration activities;
Promotion tools design;
5 EDF France Energy utility
company
Contribution to specification & evaluation ;
French case study implementation
6 HEL, Finland Energy utility
company and city
planning
Contribution to the development of the CITYOPT tool and
exploiting the knowledge in CHP energy production and
distribution.
7 NCA, France Local Authority
4. CITYOPT
• Tavoitteena on luoda applikaatioita joilla voidaan aluesuunittelussa löytää
optimaaliset energiaratkaisut eri kriteerein. Tavoitteena on myös luoda
applikaatio joka optimoi energiankäyttöä kulutuspiikkien vähentämiseksi
4
Projektin tavoitteet
6. CITYOPT
CITYOPT
planning
applica3on
• Target
groups:
– City
planners,
energy
u3li3es
• Aim
of
the
tool:
– Find
op3mal
energy
solu3ons
for
districts
in
the
planning
phase
• How
it
will
work:
– 1)
user
creates
different
energy
scenarios,
scenarios
are
simulated
by
a
simula3on
program
connected,
OR
simula3on
results
can
be
imported.
The
tool
op3mises
which
scenario
is
the
best.
User
sets
weighing
criteria
(Economic/Emissions).
OR
– 2)
the
user
sets
only
basic
informa3on
and
the
tool
finds
out
through
gene3c
algorithms
what
is
the
most
op3mal
energy
solu3ons.
This
requires
the
tool
to
be
connected
to
a
simula3on
soRware
7. CITYOPT
Helsinki study case - Kalasatama
Tavoite: analysoida optimaaliset sähkövarastoratkaisut.
Alueen
energiavirrat
simuloidaan
APROS
simuloin3ohjelmalla.
Eri
skenaarioita
mallinnetaan
ja
haetaan
maksimaalista
aurinkoenergiapoten3aalia.
Anlyyseissä
fokuksena
on
sähkövarastot
ja
niiden
op3maalinen
suunniXtelu.
Tarkastellaan/op3moidaan:
• Varastojen
eri
koot
• Eri
sijoitusvaihtoehtoja
(hajauteXu/keskiteXy/
maanalainen/
rakennuskohtainen
etc...)
• Demand
response
ac3vi3es’
influence
on
storage
needs
(connec3on
to
Nice
demo)
• Liiketoimintamallit