ICT for SMART BUILDINGS AND COMMUNITIES - ICT per EDIFICI e COMUNITA INTELLIGENTI Andrea Acquaviva

Transcription

1 Fare clic per modificare lo stile del titolo Politecnico di Torino ICT for SMART BUILDINGS AND COMMUNITIES - ICT per EDIFICI e COMUNITA INTELLIGENTI Andrea Acquaviva May 29 th /31/2013 Meeting Polito-JRC 1

2 Summary The Aim of ICT for EEB at Politecnico Context and challenges Enabling technologies Integration and interoperability Monitoring and control SeemPUBS case study Real-time data visualization From building to districts The DIMMER Approach Conclusion 2

3 The Aim of ICT for EEB at Politecnico ICT is recognized as being a key player against climate change: pervasive sensors and actuators can efficiently control the whole energy chain (Smart Thermal/Electricity Grid). On the other side, advances on 3D modeling, visualization and interaction technologies enable user profiling and real-time feedback to promote energy efficient behaviors. A multidisciplinary approach is required and ICT is the key word. 3

4 The context One of the major challenges in today s economy concerns the reduction in energy usage and CO2 footprint in existing public buildings and spaces without significant construction works The concept of Smart City The main idea is to make an intensive use of ICT to improve efficiency of energy utilization, renewable energy integration and comfort in cities through Smart grid (electricity/thermal) Smart mobility Smart communities Smart energy systems

5 The context Heterogeneous types of buildings Special attention is paid to historical buildings, which are typically less energy efficient and impose tight deployment constraints to avoid damage by extensive retrofitting Heterogeneous information systems and data sources Promote pervasive usage of ICT through new business models What we need: Integration technologies Information sharing Interactive means (audio / video / AR / 3D virtual models) 5

6 Challenges Enable integration and interoperability between services/protocols Move the energy point of view from Building to District Make the end user aware and interactive 6

7 Keywords Users Energy Context Comfort 7

8 Smart devices Smart City Information system Data collection system Information repository/models (e.g. BIM, DIM) Decision support system User awareness, profiling and social behavior analysis

9 Enabling technologies Interoperability between heterogeneous: Devices Networks Protocols 9

10 Enabling technologies Interoperability between heterogeneous: Devices Networks Protocols Data Fusion Data Interoperability 10

11 Enabling technologies Devices Networks Protocols Data Fusion Data Interoperability Real-time data and BIM User Interaction User awareness 11

12 The Sensors Texas Instruments cc

13 The Sensors TelosB 13

14 The Sensors ST Microelectronics 14

15 The Sensors PlugWise 5 r Nodes. (c) The Circle (d) The Stealth 15

16 Focus on: Integration & Interoperability Web-service based middleware for interoperability Advanced, web-service based, interactive applications 16

17 Service-oriented Middleware for integration 17

18 Service-based Approach Client Proxy gethumidity() getlight() getvoltage() getpositions() getdatatable() 18

19 Service-based Approach Client Proxy gethumidity() getlight() getvoltage() getpositions() getdatatable() public System.Boolean Service_getAvgTemperature(Int32 RoomID, DateTime StartDate, DateTime EndDate, out String OutString) { OutString = "AVG Temperature;\r\n"; DataSet dataset = new DataSet(); dataset = db.getavgtemperature(roomid, StartDate, EndDate); } if (dataset!= null) { OutString += createcsv(dataset); return true; } else return false; Database 19

20 INTEGRATION with BUILDING MANAGEMENT SYSTEMS The goal of SeemPUBS (FP7-ICT-EEB-2011) project is to implement an energy-intelligent control service based on a Building Information Modeling to achieve improvements in energy yield by automatic energy regulation and data communication. 20

21 The SEEMPubS Methodology SEEMPubS addresses energy and CO2 footprint reduction in existing public buildings and spaces without significant constructions works, by an intelligent ICTbased service based on monitoring and management of energy consumption. 21

22 Historical Building Modern Buildings A Reproducibile Demonstrator Politecnico di Torino is the demonstrator for several projects for its reproducibility. Main Campus and Cittadella Politecnica Valentino Castle 22

23 Buildings Construction Period Sensors Installation Cost Heterogeneous Buildings The Politecnico campus: Historical building (16th c.) Old building (1958) New buildings Sensors Installation Difficulty Valentino Castle Old Campus Cittadella Politecnica Existing Technologies 23

24 Deployment Considerations Hystorical building No BMS: only wireless control Tick walls: Mesh topology Old Building/New building BMS present: Need for interoperability with proprietary system (e.g. Siemens/Desigo) Integration of wireless/wired networks Normal walls: Star topology for wireless networks For old building: limited control applicable 24

25 Pervasive monitoring Monitoring Results 25

26 Energy Consumption Trend Valentino Office 26

27 Hardware Infrastructure Smart control system Lighting System Lighting Infrastructure Plugwise Lighting Control System Shading System Shading Control System Heating/Cooling System Ten among the twelve monitored rooms are heated or cooled with floor or wall fan coils that are supplied with hot water provided by a centralized boiler. TelosB The two other studied rooms, are equipped with two air handling units. Appliances Plugwise

28 BIM-based Energy simulation Example: Private Office, South oriented, with shading device Model validation: comparison of measured and simulated indoor illuminances Energy demand for different control scenarios

29 Community portal User Interaction and Awareness User interaction with the building Interaction among users What information to present What to control Portal Requirements System behaviour Means of presentation

30 SEEMPubS Web Portal Main Page 30

31 SEEMPubS Web Portal Student s Page 31

32 SEEMPubS Web Portal Employee s Page 32

33 SEEMPubS Web Portal Technician s Page 33

34 DATA visualization: QR codes, V/R, A/R 1 2 Model 3 4 HVAC and lighting not visible model systems Room identification by QR Code MODEL AR Home 3D model visualization in the middle of the room Plugwise data Real time energy data and sensors AR 5 6

35 App for energy consumption visualization Provide feedbacks and increase awareness: Exploiting application for data visualization via 3D and AR Promoting, in public buildings, application to visualize real-time energy utilization leading to a considerable educative impact. 21/05/2013 Edoardo Patti 35

36 App for energy consumption visualization Provide feedbacks and increase awareness: Exploiting application for data visualization via 3D and AR Promoting, in public buildings, application to visualize real-time energy utilization leading to a considerable educative impact. Provide applications to compare energy consumptions between users or groups of them promoting the change of "not-smart" behaviours. Define algorithms for Energy Producer in order to produce energy in a more efficient way. 36

37 Utilization scenarios Monitoring and maintenance Users: technicians and building managers. E.g. Notifying anomaly about environmental conditions. Visualization of info about failures

38 ICT Architecture QuartiereSmart - May, 29th, 2013

39 Real-time/interactive data visualization QR codes for location services Alternative technologies can be UWB Avoid expensive image recognition

40 Moving Forward From Buildings To District How the different people behaviours influence the energy migration from/to heterogeneous buildings in a district during the day. 40

41 Bring information models from building level to district level Building models Distribution network models Real time interaction/visualization A/R From BIM to DIM Q/R codes Virtual district models

42 District Perspective Work on a district perspective by including district heating and cooling information and district models for extended visualization and development of district-wide energy optimization policies. 42

43 Interdisciplinary Approach A multidisciplinary approach is required and ICT is the key word. 43

44 District Information Model and Management for Energy Reduction DIMMER project (FP7-ICT-SMARTCITIES-2013) Monitor energy consumption, environmental parameters and energy production Actuate energy relevant parameters at buildings (e.g. fan coils, lighting) and district level (water temperature in district heating) Represent buildings and network in a virtual model with realtime data visualization Optimize energy efficiency and promote local energy balancing exploting renewable energy Promote user awareness through A/R Social behavior analysis

45 The District Information Model and Management system Develop a scalable and distributed open platform for real time district level data processing and visualization Collect data from: users Building sensors energy distribution networks sensors 45

46 The District Information Model and Management system Develop a scalable and distributed open platform for real time district level data processing and visualization Collect data from: users Building sensors energy distribution networks sensors Process engine for energy policies computation 46

47 The District Information Model and Management system Develop a scalable and distributed open platform for real time district level data processing and visualization Collect data from: users Building sensors energy distribution networks sensors Process engine for energy policies computation Provide stakeholdersfeedbacks: Actions Suggestions 47

48 Smart District District Heating Weather conditions Data cloud web-based Smart building Smart building Smart building Smart building Smart building Smart building Data are available by tablet and smart phone in AR using QR Code ENERGY BALANCING Smart building Smart building Smart building People move from house to work/school and vice versa public privat Sensor node

49 Business Model Awareness Users EE Engine Cost Algorithm WEB QRCode Simulation and Visualization BIM Grid DIM Ontology DB - Interoperability Middleware BMS Zigbee Enocean Custom

50 Conclusion Key challenges for ICT in smart buildings/communities: Pervasive sensing Interoperability User profiling District models Visualization/interaction Innovative policies and business models can be created on top of this support Strong interaction with energy operators is needed 50

51 THANK YOU