1 / 23

Towards Live, continuous Building Energy Audits

Towards Live, continuous Building Energy Audits. Recording and Managing Building Plug-load Information Jorge Ortiz and Jason Trager LoCal Retreat June 1, 2011. Many miscellaneous loads. Plugs loads can account for almost the other 50% of energy spend in the building

kimama
Télécharger la présentation

Towards Live, continuous Building Energy Audits

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Towards Live, continuous Building Energy Audits Recording and Managing Building Plug-load Information Jorge Ortiz and Jason Trager LoCal Retreat June 1, 2011

  2. Many miscellaneous loads • Plugs loads can account for almost the other 50% of energy spend in the building • Opportunity for savings: • Plug loads may be controlled locally either by user of by demand-response signal • Metering and collecting this data takes long • Many sources distributed throughout the building

  3. Energy audits today • Can range from simple building walk-through to analysis of energy use (electric bill) • Comparison made to similar buildings • Most sophisticated audits may use install metering and offline building modeling

  4. Rapid Auditing Protocol (RAP) • Tag everything with a QR code • Scan Device QR code (unique for each device) • Bind QR code with device/item • Bind meters and devices • Record Device information • Performed audit in SutardjaDai Hall

  5. Recording spatial context • Building coordinate system (foot by foot) • Origin: Southwest corner of SDH Global Origin (3,0,0)

  6. RAP Interface (356MN,8,8) • Android App • Easily used • Shallow learning curve (356MN,8,2)

  7. StreamFS: Metadata organization Environment and Activity Structured, Traversable namespace Multiple building views /SodaHall /hvac /loadtree /spaces /xform /Chiller /CT /panel /floor4 /floor3 Electrical Load Tree Climate plant

  8. StreamFS: Query system architecture GET /SDH/spaces/*?query=true&props_metertype=powermeter /inventory/mote123 { “metertype”:”powermeter”, “desc”:”Electric power meter”, “timestamp”: 1290500046 } /par /hum /temp /power PID2 PID1 PID3 PID4 GET ?query=true&ts_timestamp=gt:now-100,ls=now PID4 PID1 PID3 PID2 DB Time

  9. Audit metadata organization /is4 /buildings /taxonomies LBNL Taxonomy /mels /SDH /other /Miscellaneous /qrc /inventory /spaces /Electronics . . . http://is4server.com:8080/is4/buildings/SDH/inventory

  10. Recorded Information • Basic info • Power Usage, placement, device power draw or amperage rating, device make and model number • Device Type (taxonomy) • Provided by LBNL • Extra information http://is4server.com:8080/is4/buildings/SDH/inventory/LCD906

  11. Initial Rapid Auditing Results

  12. RAP / StreamFS • Data pulled from StreamFS • Building Rooms Plotted • Static Power use • Easily understood • Tap into people’s perceptions • Give estimations of energy use

  13. Upcoming work • Map to other building views (electrical, HVAC) • Track deployment evolution • Integrate live metering • Tap into the “Weak Actuator” – People • Live alerts and visualizations • Address Coverage • How many sensors are needed to capture energy picture? • Use audit to investigate DR Variations • How is our scenario unique?

  14. Tracking deployment evolution • Metadata organization • Typically static, now live. • Streaming data from meters • Items attached to those meters changes • Meters move as well • Moved to new locations • Attached to different items • How do we keep accurate view of where energy is going and how it is being consumed? • Context-related queries: • One-off queries on current state • Live queries that account for state transitions

  15. Metadata graph r-node {“desc”:”Acme” “timestamp”: …} s-node • Acyclic graph of namespaces for building views {“desc”:”Outlet” “timestamp”: …} { “desc”:”inventory inside SDH” “timestamp”: … } {“desc”:”Phone” “timestamp”: …} /inventory {“desc”:”Lamp” “timestamp”: …} /mote123 /SDH /power /hvac /loadtree /spaces /xform /Chiller /CT /panel /floor4 /floor3 /outlet /vent

  16. Typical subscription • /buildings/SDH/floor3/364/LCD/power | http://is4server.com/target.php • String match on source data • Data POSTed to ‘/buildings/SDH/floor3/364/LCD/power’ tagged on entry • Tag used to match against subscriptions and pushed to matches

  17. Dynamic subscription • /buildings/SDH/floor3/364/* | http://is4server.com/target.php • Still a simple match of the wildcard source string • What about relevant data that whose ingress tag does not match? • i.e. If a mobile power meter is measuring LCD in room 364 and it is placed in another folder (i.e. /inventory) • Incoming data tag will not match wildcard expression • POST /inventory/meter

  18. Dynamic subscription (2) r-node {“desc”:”Acme” “timestamp”: …} s-node • Using the metadata graph • Check match and path existence • /buildings/SDH/floor3/364/LCD/power (symlink) {“desc”:”Outlet” “timestamp”: …} { “desc”:”inventory inside SDH” “timestamp”: … } {“desc”:”Phone” “timestamp”: …} /inventory {“desc”:”Lamp” “timestamp”: …} /LCD /mote123 /SDH /power /hvac /loadtree /spaces /xform /Chiller /CT /panel /floor4 /floor3 /outlet /vent

  19. Traditional RDBMS vsStreamFS • Dealing with static data • …but stuff moves around • Must re-run query as changes happen • Distillation scope change over time • The components accounted for changes with context • Aggregate data changes in accounting w/evolution of deployment • Not just on/off, but there or not there • Push vs Pull • Data pushed to external targets • User may install static or dynamic subscriptions to incoming data

  20. Related work • Traditional energy audits • Auditing MELs • Recent LBNL study • Items recorded by hand • Live metering with ACme power meters integrated with the deployoment • sMAP + typical RDBMS (MySQL) and non RDBMS (MongoDB) Data collection framework • Taxonomy integration

  21. Related work (2) • Streaming queries and subscriptions • Pub-sub information bus • Data items self describing and include topic for consumers to subscribe to • StreamFS uses pathname and item properties as topics, but also account for inter-relationship through metadata graph • Unix FS + pipes • Typical hierarchical namespace with symbolic linking • Pipe abstraction for subscription installation

  22. Thanks • Questions?

  23. Extra

More Related