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B2 orange reactiv_home


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B2 orange reactiv_home

  1. 1. Extending the HLAN for Energy Management in the Digital Home Gilles Privat Orange Labs R&D/TECH/MATIS INEOV 07 Juin 2011
  2. 2. ReActivHome netwoRk-based Active Home energy efficiency <ul><li>2010-2012 Project  ANR “HABISOL” </li></ul><ul><li>Public research partners </li></ul><ul><ul><ul><li>CEA INES (solar energy) </li></ul></ul></ul><ul><ul><ul><li>Grenoble-INP/G-SCOP (optimization) </li></ul></ul></ul><ul><ul><ul><li>Grenoble-INP/G2ELab (power engineering) </li></ul></ul></ul><ul><ul><ul><li>LIG/Multicom (human interfaces) </li></ul></ul></ul><ul><li>Industry partners </li></ul><ul><ul><ul><li>Orange Labs </li></ul></ul></ul><ul><ul><ul><li>Schneider Electric </li></ul></ul></ul><ul><li>Objectives : development and test of a comprehensive reactive, anticipative and adaptive system that jointly and contextually optimizes the local generation, storage and consumption of energy in home environments. </li></ul>
  3. 3. Principles & perimeter of a “prosumer” home energy management system <ul><li>Integrating in a comprehensive system : </li></ul><ul><ul><li>All categories of mains-powered electrical devices & appliances </li></ul></ul><ul><ul><li>Local electrical generation and storage devices </li></ul></ul><ul><ul><li>Non-electrical active & passive energy sub-systems </li></ul></ul><ul><li>Monitoring and controlling it in real-time with joint targets of : </li></ul><ul><ul><li>grid-level optimization (mediated demand management/ peak leveling) </li></ul></ul><ul><ul><li>local optimization (local source/load adaptation) </li></ul></ul>
  4. 4. … to semi-autonomous « Home MicroGrid » Home Microgrid Smart Grid Home Network Centralized Generation Distribution Transmission Distributed Generation Smart Grid Home Network Centralized Generation Distribution Transmission Distributed Generation From top-down-controlled home devices…
  5. 5. Top-down control : selective appliance-level load shedding Load control switch with one-way communication to the smart grid
  6. 6. Sizing up energy efficiency <ul><li>Efficiency is more (and less) than conservation! </li></ul><ul><li>Efficiency is tantamount to a fungible energy source! </li></ul><ul><ul><li>&quot;efficient end-use of energy is the largest, fastest, cheapest, most benign, least understood, and least harnessed energy resource available&quot;, Amory Lovins </li></ul></ul><ul><li>Measuring energy efficiency : </li></ul><ul><ul><li>Primary vs. secondary vs. final energy </li></ul></ul><ul><ul><li>Exergy efficiency </li></ul></ul><ul><ul><li>End-use efficiency </li></ul></ul><ul><ul><li>Economic efficiency </li></ul></ul><ul><ul><li>Environmental efficiency </li></ul></ul><ul><ul><li>Hedonic efficiency </li></ul></ul><ul><li>The low-hanging fruits of energy efficiency? </li></ul><ul><ul><li>Most efficiency means are not ICT-based (e.g. weatherization & insulation) </li></ul></ul><ul><ul><li>ICT-based efficiency is complementary and requires less upfront investment </li></ul></ul>
  7. 7. Scaling up energy efficiency <ul><li>Device scale </li></ul><ul><ul><li>Optimizing the efficiency of devices individually as sources and/or loads </li></ul></ul><ul><ul><li>Optimizing the use of individual devices in their local context </li></ul></ul><ul><li>Home/building scale </li></ul><ul><ul><li>Systemic efficiency : optimizing the home as a comprehensive energy system </li></ul></ul><ul><ul><ul><li>uses a wider scope of context </li></ul></ul></ul><ul><ul><ul><li>mostly complementary to device-scale optimization, should supersede it if conflicting </li></ul></ul></ul><ul><ul><li>Home power network as micro-smart-grid </li></ul></ul><ul><li>Grid scale </li></ul><ul><ul><li>Encompasses but does not supersede building-scale optimization </li></ul></ul><ul><ul><ul><li>Demand-side management constraints originating from the can be mediated by home energy management system </li></ul></ul></ul>
  8. 8. Home Gateway ICT devices Non-ICT appliances Sensors & actuators Electrical energy sources & storage Non-electrical appliances EnergyBox Building components Service Platform wide-area network
  9. 9. Home Smart Grid : extending the Home Area Network <ul><li>Envisioned indirect extensions of HAN for energy management </li></ul><ul><ul><li>Legacy home appliances (white goods, HVAC, legacy ICT) </li></ul></ul><ul><ul><li>Energy generation devices </li></ul></ul><ul><ul><li>Energy storage devices </li></ul></ul><ul><li>The plug & play (interoperability/zeroconf) issue : </li></ul><ul><ul><li>integrating these devices into the “smart home grid” as if they were plug&play computer peripherals </li></ul></ul><ul><ul><li>identifying them to a known category </li></ul></ul><ul><ul><li>monitoring them and controlling them, directly or indirectly </li></ul></ul><ul><li>Chosen solution </li></ul><ul><ul><li>Sensors and actuators monitor and control legacy non-digital devices </li></ul></ul><ul><ul><li>Legacy devices become indirectly attached to HAN through these sensors-actuators : </li></ul></ul><ul><ul><ul><li>represented by software proxies as if they were regular networked devices </li></ul></ul></ul><ul><ul><li>Special secondary gateway (&quot;Energy box“) </li></ul></ul><ul><ul><ul><li>hides interface to legacy devices </li></ul></ul></ul><ul><ul><ul><li>may host local layers of ReActivHome system </li></ul></ul></ul>
  10. 10. aggregation Local layer Anticipative layer Reactive layer User interfaces Environment interfaces Device proxy Home as physical system ReActivHome as information system actuators sensors User agents External agents Room agents Device agents Local layer Room proxy Agent Layer Entity Proxy Layer Entity Interface Layer Physical Entity Layer sensors actuators sensors sensors actuators
  11. 11. The sensed-actuated home
  12. 12. The sensed-actuated building
  13. 13. Leveraging the sensed-actuated home <ul><li>Long-awaited offshoot of the long-running context-awareness research agenda (also under ubicomp/ambient intelligence) </li></ul><ul><ul><li>The home equipped with sensors and actuators is a &quot;smart space&quot; </li></ul></ul><ul><ul><li>This sensor-actuator system may be used for both human and physical context interfaces </li></ul></ul><ul><li>Relevant elements of context/content acquired by sensors : </li></ul><ul><ul><li>Internal state of non-digital appliances </li></ul></ul><ul><ul><li>From the environment </li></ul></ul><ul><ul><ul><li>internal temperature, humidity, light, etc. </li></ul></ul></ul><ul><ul><ul><li>external atmospheric conditions and forecast </li></ul></ul></ul><ul><ul><li>Status of users (present and future) </li></ul></ul><ul><ul><ul><li>presence </li></ul></ul></ul><ul><ul><ul><li>level and nature of activity </li></ul></ul></ul><ul><li>High-level fusion, aggregation and interpretation of overall context as a key enabler </li></ul>
  14. 14. Energy management as a cloud-based service energy management gateway mobile users third party service providers external data sources home gateway utilities service platform
  15. 15. Digital Home : in search of the killer app… <ul><li>Presumptive killer apps that did not make it… </li></ul><ul><ul><li>Ambient entertainment/AV communication </li></ul></ul><ul><ul><li>“ Vintage&quot; home automation/domotics </li></ul></ul><ul><li>Promising short to mid-term prospects : </li></ul><ul><ul><li>Safety and security services </li></ul></ul><ul><ul><li>Assistance/monitoring fore elderly/handicapped people </li></ul></ul><ul><ul><li>Comprehensive energy management (>>monitoring, demand-response) </li></ul></ul><ul><li>Hurdles and hindrances to take-up </li></ul><ul><ul><li>Legacy appliances, legacy homes… </li></ul></ul><ul><ul><li>High-level software interoperability still a pipe dream </li></ul></ul><ul><ul><li>Cost and complexity of configuration and calibration of smart home environment </li></ul></ul><ul><li>Federation of these services could be the potential killer app, sharing : </li></ul><ul><ul><li>Service platforms </li></ul></ul><ul><ul><li>HAN infrastructure (gateways, software integration of attached devices) </li></ul></ul><ul><ul><li>Software functionalities (e.g. sensor data fusion, aggregation & interpretation) </li></ul></ul><ul><ul><li>Sensors and corresponding software enablers </li></ul></ul><ul><ul><li>User interfaces </li></ul></ul>
  16. 16. Beyond the home : shared energy management <ul><li>Neighborhood-scale management </li></ul><ul><ul><li>Sharing of local context </li></ul></ul><ul><ul><li>Exchange of clues, best practices </li></ul></ul><ul><li>City/metropolitan area -scale </li></ul><ul><ul><li>coupling with other city-scale physical networks (transportation, water, etc.) and associated monitoring services </li></ul></ul><ul><li>Linkage with social networks </li></ul><ul><ul><li>Competitions for best efficiency results </li></ul></ul><ul><ul><li>Serious games </li></ul></ul>
  17. 17. Energy management in home environments : trade-offs for users <ul><li>Optimize energy use as a trade-off between three objective functions : </li></ul><ul><ul><li>User comfort and convenience </li></ul></ul><ul><ul><li>Overall cost of energy used (with ToU or real-time pricing) </li></ul></ul><ul><ul><li>Environmental impact of energy used (carbon footprint and other criteria) </li></ul></ul><ul><li>Taking into account the following conditions and constraints : </li></ul><ul><ul><li>Habits of users </li></ul></ul><ul><ul><li>Environmental conditions </li></ul></ul><ul><ul><li>Electrical characteristics of appliances </li></ul></ul><ul><ul><li>Thermal characteristics of building </li></ul></ul><ul><ul><li>Local energy production and storage capacities </li></ul></ul><ul><ul><li>Constraints imposed by energy providers (e.g. maximal peak load) </li></ul></ul>
  18. 18. Energy management in the home: acceptability and human interface issues <ul><li>A new service that is not necessarily requested by users </li></ul><ul><ul><li>Simplicity is paramount… </li></ul></ul><ul><li>A very different category of service from inter-personal and content services </li></ul><ul><ul><li>No quality of service (non-functional property) as distinct from content </li></ul></ul><ul><ul><li>The quality (optimization of objective function) is the content </li></ul></ul><ul><li>Rebound effect (a.k.a. Jevons paradox) a major issue! </li></ul><ul><li>System  users interface </li></ul><ul><ul><li>Should not unduly bother users </li></ul></ul><ul><ul><ul><li>available at the periphery of users' attention </li></ul></ul></ul><ul><ul><li>Present minimal information so that users may understand system behavior </li></ul></ul><ul><ul><li>Could make it possible to influence user habits in a positive way </li></ul></ul><ul><ul><ul><li>confront users with consequences of their actions for energy use </li></ul></ul></ul><ul><ul><li>Not limited to classical interfaces, could use e.g. : </li></ul></ul><ul><ul><ul><li>augmented reality </li></ul></ul></ul><ul><ul><ul><li>(haptic) force-feedback interfaces </li></ul></ul></ul><ul><li>Users  system interface </li></ul><ul><ul><li>users must always be able to override default behavior of the system, except in case of emergency or hard constraints (e.g. max load) </li></ul></ul>
  19. 19. merci Orange, the Orange mark and any other Orange product or service names referred to in this material are trade marks of Orange Personal Communications Services Limited. © Orange Personal Communications Services Limited. France Telecom Group restricted.