This document summarizes energy projects from the TSSG Energy Discussion in December 2013. It outlines both active projects and recently completed projects. The active projects include optimizing energy usage within an industrial park using distributed generation and storage, managing electric car chargers, using electric cars as battery storage, and analyzing wind turbine data. The recently completed projects focused on developing energy savings software, integrating building management systems, improving energy demand and price forecasting, optimizing data center resource allocation, and predicting natural gas prices.

1. TSSG Energy
Discussion
Dec
2013

2. Energy
Projects
AcBve
Recently
Completed
1.
2.
3.
4.
5.
1. GreenT
FINESCE
SECO
eCar
Charger
Mgmt
eCar
BaKery
Storage
Wind
Turbine
Data
2. ASTRAL
3. EMPATH
4. Green
Data
Centres
5. Commodity
Prices
Upcoming
…
2!

3. Ac9ve
Energy
Projects
1. FINESCE
2. Smart
Energy
Cluster
OpBmisaBon
3. eCar
Charger
Management
4. eCar
BaKery
Storage
(V2G)
5. Wind
Turbine
Data
3!

4. FINSENY,
FINESCE
–
ESB,
InTune
4!

5. FINSENY,
FINESCE
–
ESB,
InTune
• FINSENY
-­‐
determined
ICT
challenges
of
the
future
energy
grid
• FINESCE
-­‐
trialling
2
use
cases:
1. Renewable
energy
and
EV
integraBon
into
the
grid
•
•
•
Develop
and
test
charging
control
systems
Use
both
WiMAX
and
LTE
technology
Measure
system
response
Bme
2. Smart
grid
communicaBons
over
IP-­‐based
network
•
•
•
Legacy
systems
a
problem
–
no
innovaBon,
no
economies
benefits
compared
to
IP-­‐based
Stringent
electrical
protecBon
requirements
(µ-­‐seconds)
CriBcal
grid
security
tesBng
5!

6. SECO
–
Smart
Energy
Cluster
OpBmisaBon
Storage!
Battery, Thermal,
Pumped Hydro, CAES!
Distributed Generation!
Renewables – Wind, Solar!
CHP!
SECO!
Smart Energy
Cluster
Optimisation!
Market!
SEM Pricing!
Wind Forecasting!
Tariffs!
Demand Prediction!
DSUʼs AGUʼs!
Load – Selectable,
Predictable!
EVʼs, Thermal, Pumping, Data Centres!
6!

7. SECO
–
Smart
Energy
Cluster
OpBmisaBon
Create
a
SoDware
applica9on
including
management
algorithms
to
maximise
the
workings
of
an
industry
park
with:
• Many
businesses
with
different
energy
demand
needs
and
demand
profiles.
• Mul9ple
Energy
Sources
including
Electricity
Grid,
Wind
Turbine,
Solar,
Geothermal,
Generator(s)
and
Storage
Capacity.
7!

8. Electric
Car
Charger
Management
Car
Charger
Event
Management
and
Maintenance
System
(CEMMS)
for
Intelligent
Transport
Devices.
8!

9. Electric
Cars
as
Storage
(Vehicle
to
Grid)
9!

10. Electric
Cars
as
Storage
• Power
storage
can
smooth
peaks
and
troughs
in
power
consump9on
–
also
can
enhance
produc9on
in
microgrid
clusters.
• Electric
cars
as
a
virtual
baXery
bank
-­‐
requires
accurate
forecas9ng
of
capacity
and
demand.
• Driver
behaviour
can
be
inferred
from
electronic
work
calendars,
car
chargers
and
GPS.
• Developing
simulators
to
predict
daily
storage
capacity
and
how
this
could
be
traded
at
key
9mes.
• Op9mising
charging
schedules
for
electric
cars
in
a
microgrid
cluster.
10
10!

11. Wind
Turbine
Data
Check
Wind
Speed
è
Power
Output
against
Manufacturer’s
Spec.
11!

12. Recently
Completed
Energy
Projects
1. GreenT
2. ASTRAL
3. FINSENY
4. EMPATH
5. Green
Data
Centres
6. Commodity
Prices
12!

13. GreenT
13!

14. GreenT
Ø Energy
Savings
Sobware
for
Android
User
Devices
(Phones,
Tablets)
Ø AutomaBcally
choose
one
interface
(2G/3G/
Wifi)
based
on
locaBon
and
usage.
Ø Self-­‐Learning
of
OpBmal
interface
for
locaBon/
Bme/usage.
Ø Turn
off
other
interfaces
unBl
condiBons
change.
14!

15. ASTRAL
Office/Industry/Campus
PCs,
Servers
Lighting
Heating
EMS
Controlling
Device
Car Charger
Plugged
Devices
15!

16. ASTRAL
Ø People-­‐Centric
Building
Management
System.
Ø IntegraBng
all
systems
in
the
building
from
lighBng/heaBng
to
individual
plugged
in
devices.
Ø Policy
Managed
–
for
example,
when
one
staff
member
leaves
the
office,
their
PC,
desk
devices,
heaBng
and
lighBng
gets
turned
off
Ø Integrated
Hierarchical
Policies
at
the
level
of
person,
office,
floor,
building
and
campus.
16!

17. EMPATH
17!

18. EMPATH
For
the
next
24
hours
predict:
1. Overall
Energy
Demand
at
every
15
minute
level.
2.76%
accuracy.
Eirgrid
sampled
at
>7%.
2.
Wind
Energy
Supply.
43%
inaccuracy.
BeKer
than
Eirgrid
46%.
3.
Price.
21%
inaccuracy.
Same
as
Eirgrid.
18!

19. Ac9ve
Green
Data
Centres
Sustainability
• Data-­‐Centres
cause
2%
of
global
CO2
emissions.
• Renewable
Energy
fluctuates
across
countries.
• Cooling
Efficiency
dependant
on
temperature
SoluBon
Allocate
resources
in
different
countries,
based
on
energy
availability.
19!

20. Ac9ve
Green
Data
Centres
Breeding BeXer
Solu9ons
• Evolu9onary
Compu9ng
models
the
natural
evolu9on
process
to
find
the
op9mal
solu9on
to
a
problem.
• Use
Gene9c
Algorithm
to
maximise
the
renewable
energy
consumed
and
minimise
the
cooling
energy
used.
• Determine
best
loca9on
for
services
based
on
where
renewable
energy
is
most
available.
20!

21. Commodity
Price
Predic9on
Un-­‐named
client.
Design
a
System
to
use
past
events
to
show
impact
on
the
price
of
Natural
Gas.
Including:
• Weather
• Economic
• Conflict
• PoliBcal
Use
this
and
our
knowledge
of
future
events
to
predict
future
prices.
21!

22. Upcoming
Energy
Projects
To
be
updated
as
new
projects
become
confirmed
…
Inquiries
to
energy@tssg.org
22!