Energistyring og -Optimering                    Optimering   i Intelligente Bygninger         Kim G. Larsen           Arne...
CISS -             Center For Embedded Software Systems  Regional ICT Center (2003- )      3 research groups         Com...
IES in Denmark              CISS             Aalborg       DAIMI, Alexandra               Aarhus                          ...
(IES in DK) in Europe                                                 IMM/DTU                                             ...
Intelligent Storage ManagementSmart GRID og Intelligente Bygninger, 1.11.11   Kim G. Larsen [5]
Intelligent Storage ManagementSmart GRID og Intelligente Bygninger, 1.11.11   Kim G. Larsen [6]
Design Space Exploration                                            B&O ICEpower case study                               ...
Design Space Exploration                        Max 80% utilization                                                       ...
Model-Based Controller Synthesis                                                                                          ...
Model-Based Controller SynthesisSmart GRID og Intelligente Bygninger, 1.11.11   Kim G. Larsen [10]
Model-Based Controller Synthesis                Synthesis TIGA                                                          Pe...
Sensor Networks                            Quasimodo / CHESS                                                              ...
UPPAAL  Model-Based Analysis and OptimizationSmart GRID og Intelligente Bygninger, 1.11.11   Kim G. Larsen [13]
Energy Efficient BuildingsSmart GRID og Intelligente Bygninger, 1.11.11   Kim G. Larsen [14]
The Energy Aware House,     Dec 2009                                                 Purpose:                            ...
The Energy PlannerSmart GRID og Intelligente Bygninger, 1.11.11   Kim G. Larsen [16]
Homeport Project Facts  (www.energybox.dk)      Period: 2009 – 2011      Budget: 10.6 mill.kr.      Funding: 8 mill. kr...
Homeport Project Facts  (www.energybox.dk)      Period: 2009 – 2011      Budget: 10.6 mill.kr.       GOALS      Funding...
ENCOURAGE Project    Embedded iNtelligent COntrols for bUildings     with Renewable generAtion and storaGE             A...
Concept   Embedded iNtelligent COntrols for    bUildings with Renewable generAtion    and storaGE          di           ...
VisionSmart GRID og Intelligente Bygninger, 1.11.11   21
Approach   Developing supervisory control strategies    that will be able to coordinate larger    subsystems   Developme...
ArchitectureSmart GRID og Intelligente Bygninger, 1.11.11   23
Technological Innovation   Technological innovations at device level          Non intrusive monitoring and control      ...
AAU contribution:  Controller, planning, scheduling synthesis   Timed game                                   Automated too...
AAU contribution:  A flexible SW- infrastructure for Building Devices                                                Servi...
Demonstrators  Private homes and office buildings in the city   of Aalborg, Denmark         A housing co-operative with ...
Next steps   Specification of architecture and    ENCOURAGE components   Milestones            First general meeting: N...
Thank you !                                                www.uppaal.comSmart GRID og Intelligente Bygninger, 1.11.11    ...
Upcoming SlideShare
Loading in...5
×

Energistyring og -optimering i Intelligente Bygninger af Kim Guldstrand Larsen og Arne Skou, CISS, AAU

293

Published on

Oplægget blev holdt ved InfinIT-arrangementet "Workshop: Smart Grid & Intelligente Bygninger" afholdt den 1. november 2011.
Læs mere på http://www.infinit.dk/dk/hvad_kan_vi_goere_for_dig/viden/reportager/danske_virksomheder_paa_rette_vej.htm

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
293
On Slideshare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Energistyring og -optimering i Intelligente Bygninger af Kim Guldstrand Larsen og Arne Skou, CISS, AAU

  1. 1. Energistyring og -Optimering Optimering i Intelligente Bygninger Kim G. Larsen Arne Sko Skou – Aalborg University DENMARK
  2. 2. CISS - Center For Embedded Software Systems Regional ICT Center (2003- )  3 research groups  Computer Science  Control Theory  HW/SW- codesigng  20 Employed  25 Associated  20 PhD St dents Students  50 Industrial projects  10 Elite-students  65+ MDKK  ARTIST Design  ARTEMIS  ... ...Smart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [2]
  3. 3. IES in Denmark CISS Aalborg DAIMI, Alexandra Aarhus IMM DTU ITU, Alexandra MCI, CSI Copenhagen SønderborgSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [3]
  4. 4. (IES in DK) in Europe IMM/DTU coordinator KGL, Joseph Sifakis, Jan Madsen, Alan Burns 32 academic partners Affiliated Companies (selected): ABB Automation Airbus Daimler Chrysler AG Electricite de France Ericsson Mobile Platforms ESA Honeywell Israel Aircraft Nokia Denmark Siemens MP STMicroelectronics Sun Microsystems CISS Thales Volkswagen AG V lk coordinator Volvo CarSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [4]
  5. 5. Intelligent Storage ManagementSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [5]
  6. 6. Intelligent Storage ManagementSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [6]
  7. 7. Design Space Exploration B&O ICEpower case study ICE Embedded Systems Engineering, November, 2009 1Smart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [7]
  8. 8. Design Space Exploration Max 80% utilization Requirement 100.00% 90.00% 80.00% 70.00% 60.00% 50.00% 50MHz 40.00% 30.00% 25MHz 20.00% 12.5MHz 10 00% 10.00% 0.00% 6.25MHz 3.125MHz HW SVF1 SVF1 SVF2 SVF1 SVF2 SVF3 VF1 F2 SVF3 3 S REF SVF SVF4 4 SVFx1 SV DSP SVFx2 SVFx3 SVFx4 DSP 12.5 MHz 6.25 MHzSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [8]
  9. 9. Model-Based Controller Synthesis Controller C t llSimulink 16.5 T1 T2 16 T3 15.5 15 14.5 14 13.5 13 12.5 12 UPPAAL 11.5 0 500 1000 1500 2000 2500 3000 3500 4000 Smart GRID og Intelligente Bygninger, 1.11.11 Kim G.Larsen [9]
  10. 10. Model-Based Controller SynthesisSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [10]
  11. 11. Model-Based Controller Synthesis Synthesis TIGA Performance Evaluation SIMULINK Guaranteed Correctness Robustness with 40% Improvement Verification PHAVERSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [11]
  12. 12. Sensor Networks Quasimodo / CHESS GPRS Terminal Active Tag Service / Google MapsSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [12]
  13. 13. UPPAAL Model-Based Analysis and OptimizationSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [13]
  14. 14. Energy Efficient BuildingsSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [14]
  15. 15. The Energy Aware House, Dec 2009  Purpose:  To demonstrate a number of (future) energy saving scenarios in intelligent buildings.  Developed in a collaboration b t ll b ti between knowledge institutions and 9 companies.  Results:  Agreements on future (industrial) dissemination activities  Agreements on future (industrial) (i d t i l) research h activities 15Smart GRID og Intelligente Bygninger, 1.11.11
  16. 16. The Energy PlannerSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [16]
  17. 17. Homeport Project Facts (www.energybox.dk)  Period: 2009 – 2011  Budget: 10.6 mill.kr.  Funding: 8 mill. kr. (2.6 mill. kr. for companies)  Knowledge institution partners: AAU (CISS), AU/Alexandra Institute, CSI, IHA  Initial private partners: Develco, Seluxit, Servodan  Additional partners: Zense Techology, Danfoss Heating, LIAB, NEOGRID  Also a number of networked partnersSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [17]
  18. 18. Homeport Project Facts (www.energybox.dk)  Period: 2009 – 2011  Budget: 10.6 mill.kr. GOALS  Funding: 8 mill. kr. (2.6 mill. kr. for companies)  Implementation for co-existence of  Knowledge institution partners: AAU (CISS), AU/Alexandra Institute, different home devices and energy optimization CSI, IHA   V lid i Initial privateof a number of scenarios Servodan Validation partners:b f f i Develco, Seluxit,   Ease of use! Additional partners: Zense Techology, Danfoss Heating, LIAB,  Collaboration with industrial partners NEOGRID p   Investigate the networked potential Also a number of business partnersSmart GRID og Intelligente Bygninger, 1.11.11 Kim G. Larsen [18]
  19. 19. ENCOURAGE Project  Embedded iNtelligent COntrols for bUildings with Renewable generAtion and storaGE  Artemis call 2010  Start date: June 1st, 2011, 36 months project  11 Partners / 9 countries  4 mill EURSmart GRID og Intelligente Bygninger, 1.11.11 19
  20. 20. Concept  Embedded iNtelligent COntrols for bUildings with Renewable generAtion and storaGE  di directly optimize energy use i b ildi l i i in buildings  optimal control of internal sub-systems  enable active participation i th f t bl ti ti i ti in the future smart grid environment.  effective interaction with external world, world including other buildings, local producers, or electricity distributors.Smart GRID og Intelligente Bygninger, 1.11.11 20
  21. 21. VisionSmart GRID og Intelligente Bygninger, 1.11.11 21
  22. 22. Approach  Developing supervisory control strategies that will be able to coordinate larger subsystems  Development of an intelligent gateway with embedded logic supporting inter-building energy exchange  Developing novel virtual sub-metering technologies and event-based middleware applications that will support advanced monitoring and diagnostics conceptsSmart GRID og Intelligente Bygninger, 1.11.11 22
  23. 23. ArchitectureSmart GRID og Intelligente Bygninger, 1.11.11 23
  24. 24. Technological Innovation  Technological innovations at device level  Non intrusive monitoring and control Non-intrusive  Scalable processing and inference of complex events  Use of cloud computing capabilities  Optimal energy management and control  Energy efficiency at system level and not individual appliance / sub-system  Reduction of costs of system development  Open architectures  Complexity increase with effort reductionSmart GRID og Intelligente Bygninger, 1.11.11 24
  25. 25. AAU contribution: Controller, planning, scheduling synthesis Timed game Automated tool Optimal Energy model of building Control Program for devices building CISS tool-suite for modeling, simulation, Synthesis, verification & testing ifi ti t tiSmart GRID og Intelligente Bygninger, 1.11.11 25
  26. 26. AAU contribution: A flexible SW- infrastructure for Building Devices Service composites and controllers compose functionality Service layers presents functionality through REST/HTTP interface i t f Bridgelayer relays commands to and from devices End-devices connected to subsystems. E.g. Z-wave devicesSmart GRID og Intelligente Bygninger, 1.11.11 26
  27. 27. Demonstrators  Private homes and office buildings in the city of Aalborg, Denmark  A housing co-operative with 8 homes, which recently installed 8 solar panel units. The buildings have electric heating.  A building with heat pump and solar panel  Energy-Efficient Campus in Terrassa, Barcelona, Spain , p  This real life campus district will allow validation of the ENCOURAGE architecture as well as the social network.  Laboratory building of Scuola Normale Superiore di Pisa, Italy  4000 m2 in a recently refurbished ancient building: energy efficiency and cost optimization, reliability and quality of energy supplySmart GRID og Intelligente Bygninger, 1.11.11 27
  28. 28. Next steps  Specification of architecture and ENCOURAGE components  Milestones  First general meeting: Nov 22-23, 2011  Overall system specification: May 2012  System integration readiness: Feb 2013  Release of all components: Jul 2013  Validation: Dec 2013Smart GRID og Intelligente Bygninger, 1.11.11 28
  29. 29. Thank you ! www.uppaal.comSmart GRID og Intelligente Bygninger, 1.11.11 Kim Larsen [29]
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×