TSSG Energy  Discussion  

Dec  2013  

Recently  Completed  

1.   GreenT  2.   ASTRAL  3.   EMPATH  

4.   Green  Data  Centres  5.   Commodity  Prices  

2!

Energy  Projects  AcBve  1.   FINESCE  2.   SECO  3.   eCar  Charger  Mgmt  4.   eCar  BaKery  Storage  5.   Wind  Turbine  Data  

Upcoming  …  

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

3!

Ac9ve  Energy  Projects  

4!

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!

FINSENY,  FINESCE  –  ESB,  InTune  

Storage!Battery, Thermal,

Pumped Hydro, CAES!

Load – Selectable, Predictable!

EVʼs, Thermal, Pumping, Data Centres!

Market!SEM Pricing!

Wind Forecasting!Tariffs!

Demand Prediction!DSUʼs AGUʼs!

Distributed Generation!Renewables – Wind, Solar!

CHP!

SECO!Smart Energy

Cluster Optimisation!

SECO  –  Smart  Energy  Cluster  OpBmisaBon  

6!

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!

SECO  –  Smart  Energy  Cluster  OpBmisaBon  

Electric  Car  Charger  Management  

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

8!

Electric  Cars  as  Storage  (Vehicle  to  Grid)  

9!

10

•  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!

Electric  Cars  as  Storage  

Wind  Turbine  Data  

Check  Wind  Speed  è  Power  Output  against  Manufacturer’s  Spec.  

11!

1.  GreenT  2.  ASTRAL  3.   FINSENY  4.  EMPATH  

5.  Green  Data  Centres  6.  Commodity  Prices  

12!

Recently  Completed  Energy  Projects  

13!

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!

GreenT  

15!

ASTRAL  

PCs, Servers

Plugged Devices

EMS Controlling

Device

Lighting

Heating

Car Charger

Office/Industry/Campus  

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!

ASTRAL  

17!

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!

EMPATH  

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.  

Ac9ve  Green  Data  Centres  

19!

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.  

Ac9ve  Green  Data  Centres  

20!

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!

Commodity  Price  Predic9on  

To  be  updated  as  new  projects  become  confirmed  …      Inquiries  to  energy@tssg.org  

22!

Upcoming  Energy  Projects