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Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
Enterprise Energy Management using a Linked Dataspace for Energy Intelligence
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Enterprise Energy Management using a Linked Dataspace for Energy Intelligence

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Energy Intelligence platforms can help organizations manage power consumption more efficiently by providing a functional view of the entire organization so that the energy consumption of business …

Energy Intelligence platforms can help organizations manage power consumption more efficiently by providing a functional view of the entire organization so that the energy consumption of business activities can be understood, changed, and reinvented to better support sustainable practices. Significant technical challenges exist in terms of information management, cross-domain data integration, leveraging real-time data, and assisting users to interpret the information to optimize energy usage. This paper presents an architectural approach to overcome these challenges using a Dataspace, Linked Data, and Complex Event Processing. The paper describes the fundamentals of the approach and demonstrates it within an Enterprise Energy Observatory.

E. Curry, S. Hasan, and S. O’Riáin, “Enterprise Energy Management using a Linked Dataspace for Energy Intelligence,” in The Second IFIP Conference on Sustainable Internet and ICT for Sustainability (SustainIT 2012), 2012.

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  • 1. Digital Enterprise Research Institute www.deri.ie Enterprise Energy Management using a Linked Dataspace for Energy Intelligence Edward Curry, Souleiman Hasan, Sean O’Riain The Second IFIP Conference on Sustainable Internet and ICT for Sustainability (SustainIT 2012)© Copyright 2011 Digital Enterprise Research Institute. All rightsreserved. Digital Enterprise Research Institute National University of Ireland, Galway Enabling Networked Knowledge
  • 2. MotivationDigital Enterprise Research Institute www.deri.ie n  2010 MIT Sloan / IBM report on Analytics ¨  Embedding business insight into day-to-day operations is critical to success ¨  Single greatest opportunity and challenge for the data-driven enterprise n  2010 survey of 600+ CIOs & IT Managers ¨  Paucity of sustainability information (i.e energy) ¨  Lost opportunity to leverage information to improve sustainability ¨  Significant challenges ahead Enabling Networked Knowledge
  • 3. New Engineering Building at NUI GalwayDigital Enterprise Research Institute www.deri.ie Cost  -­‐  €  40,000,000       Enabling Networked Knowledge 3  
  • 4. Research Motivation A Real-World ExampleDigital Enterprise Research Institute www.deri.ie Cost  -­‐  €  40,000,000       AirCon  8:30-­‐11:00  &  15:00-­‐16:00  Mon  to  Fri       CO2  levels   Occupancy  Pa@ern   Time Monday Tuesday Wednesday Thursday Friday ASHRAE     08:00-­‐09:00 62.1-­‐2010   09:00-­‐10:00 237 237 200 237 10:00-­‐11:00 237 237 237 200 11:00-­‐12:00 237 180 180 145 237 12:00-­‐13:00 237 200 237 200 149 13:00-­‐14:00 145 14:00-­‐15:00 221 237 145 140 15:00-­‐16:00 221 120 160 140 16:00-­‐17:00 149 250 160 17:00-­‐18:00 200 160 Enabling Networked Knowledge 4  
  • 5. Energy IntelligenceDigital Enterprise Research Institute www.deri.ie n  What is Energy Intelligence? ¨  Transforms raw data into meaningful energy information ¨  Enables effective strategic, tactical, and operational decision-making for energy mgmt. ¨  Provides energy consumption of business activities so they can be understood and optimized Enabling Networked Knowledge
  • 6. Enterprise Energy ManagementDigital Enterprise Research Institute www.deri.ie Energy Intelligence platforms within an Enterprise will need to support four key requirements Enabling Networked Knowledge
  • 7. Holistic Energy ConsumptionDigital Enterprise Research Institute www.deri.ie FaciliIes   Data  Centre   Business  Travel     Office  IT   Daily  Commute     Holis&c   Energy   Management   Enabling Networked Knowledge
  • 8. Multi-Level Energy AnalysisDigital Enterprise Research Institute www.deri.ie CIO Strategic Analysis CEO Example KPI: •  CIO needs high-level Energy used by business function power global IT department usage •  CSO real-time carbon Helpdesk emissions CSO Example KPI: PUE of the Tactical Analysis Data Center in Dublin •  Manager needs energy usage of business Maintenance Personnel processes, business line or Example KPI: group kWhs used by server 172.16.0.8 Operational Analysis •  Technician needs equipment power usage Building •  Low-level monitoring Sensors, events Data Center Enabling Networked Knowledge 8 of XYZ
  • 9. Business Context of Energy ConsumptionDigital Enterprise Research Institute www.deri.ie Energy Finance Resource Allocation Human Asset Mgmt Resources Enabling Networked Knowledge
  • 10. Energy Situational AwarenessDigital Enterprise Research Institute www.deri.ie n  Help users to: ¨  Understand energy data ¨  Make appropriate energy saving decisions ¨  Support energy performance objectives and other business performance objectives –  human resources (i.e. occupancy comfort) –  enterprise resource planning (i.e. room utilization). Enabling Networked Knowledge
  • 11. Proposed ApproachDigital Enterprise Research Institute www.deri.ie n  Architecture for Energy Intelligence Platforms ¨  Dataspace for Information Management ¨  Linked Data for sharing Information ¨  Complex Event Processing for Interpreting Data Enabling Networked Knowledge
  • 12. What is a Dataspace?Digital Enterprise Research Institute www.deri.ie n  Emerging data management architecture n  Recognizes expense obtaining upfront unifying schema across all sources ¨  Co-existence of data without unifying schema ¨  Loosely integrated set of data sources n  Data integrated on “as needed” basis ¨  Tighter integration achieved in an incremental "pay-as-you-go" fashion Franklin, A. Halevy, and D. Maier From databases to dataspaces: a new abstraction for information management,” Sigmod Record, 34(4) 2005. Enabling Networked Knowledge
  • 13. DBMS vs DataspaceDigital Enterprise Research Institute www.deri.ie DBMS Dataspace Model Relational All Formats Homogenous Heterogeneous Control Complete Partial Query Precise Approximate Integration Explicit Implicit/ Incremental Enabling Networked Knowledge
  • 14. The Linked Open Data cloudDigital Enterprise Research Institute www.deri.ie 2008 2007 2008 2010 2009 2008 2009 2008 Enabling Networked Knowledge 14 14
  • 15. Linked Open Data cloud - domainsDigital Enterprise Research Institute www.deri.ie BestBuyhttp://lod-cloud.net/ Overstock.com Facebook US government UK government Media User-generated Government Publications BBC New York Times Cross-domain Geo Life sciences LinkedGeoData Over 300 open data sets with more than 35 billion facts, interlinked by 500 million typed links. Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. Enabling Networked Knowledge 15
  • 16. Linked Data PrinciplesDigital Enterprise Research Institute www.deri.ie 1.  Use URIs to identify the “things” in your data 2.  Use HTTP URIs so people (and machines) can look them up on the Web 3.  When a URI is looked up, return a description of the thing in a structured format (RDF) 4.  Include links to related things to provide context http://www.w3.org/DesignIssues/LinkedData.html Enabling Networked Knowledge
  • 17. Why Graphs and Ontologies?Digital Enterprise Research Institute www.deri.ie Cities:Dublin Geo:hasLargestCity 84421km2 Wikipedia.org Geo:IslandOfIreland Geo:hasCapital Geo:area Geo:locatedOn EU:RepublicOfIreland EU:RepublicOfIreland Gov:hasDepartment Gov:hasTaoiseach Gov.ie Person:EndaKenny IE:DepartmentOfFinance Enabling Networked Knowledge
  • 18. What is Linked Data?Digital Enterprise Research Institute www.deri.ie 18 Enabling Networked Knowledge
  • 19. Linked DataspaceDigital Enterprise Research Institute www.deri.ie Dataspace + Linked Data = Linked Dataspace Enabling Networked Knowledge 19
  • 20. Linked dataspace for Energy IntelligenceDigital Enterprise Research Institute www.deri.ie Organisation-level Business Process Personal-level Linked  dataspace  for   Energy  Intelligence   Office IT Corporate Building Logistics Data Center Enabling Networked Knowledge 20    
  • 21. Linked dataspace forDigital Enterprise Research Institute Energy Intelligence www.deri.ie Energy Saving Applications Applications n  Decision Support Energy Analysis Systems Model Energy and Sustainability Dashboards Situation Awareness Apps n  Energy Awareness Complex Events n  Complex Event Processing Services Support Entity Complex Event Data Provenance Search & Management Processing Catalog Query Engine Service n  Interlinked Cloud of Energy Linked Data Data Adapter Adapter Adapter Adapter Adapter n  Resource Description Framework (RDF) Sources n  Semantic Sensor Network Ontology (SSN) Enabling Networked Knowledge
  • 22. Entity Graph in CloudDigital Enterprise Research Institute www.deri.ie Linked Dataspace Corporate System “Edward Curry” “DGSIT” Corporate foaf:name   en:memberOf   Building h:p://www.deri.ie/about/team/ member/edward_curry#me   Office IT owl:sameAs owl:sameAs h:p://www.deri.ie/about/team/ h:p://www.deri.ie/about/team/ member/edward_curry#me   member/edward_curry#me   rm:occupant   en:has_a   h:p://lab.linkeddata.deri.ie/ h:p://energy.deri.ie#macbook15698   2010/deri-­‐rooms#r202e   foaf:name   en:consumption   foaf:name   en:consumption   “MacBook Pro” 10kWh “202e” 50kWh Office IT System Building Management System Enabling Networked Knowledge
  • 23. Energy Saving ApplicationsDigital Enterprise Research Institute www.deri.ie Enterprise Energy Smart Buildings Green Cloud Observatory Computing Enabling Networked Knowledge Office IT Energy Mgmt. Personal Energy Mgmt.
  • 24. DERI Energy OverviewDigital Enterprise Research Institute www.deri.ie Enabling Networked Knowledge
  • 25. IT EnergyDigital Enterprise Research Institute www.deri.ie Enabling Networked Knowledge 25
  • 26. iEnergy – PersonalDigital Enterprise Research Institute www.deri.ie Enabling Networked Knowledge
  • 27. SummaryDigital Enterprise Research Institute www.deri.ie n  Energy Intelligence platforms have 4 key requirements: ¨  Holistic energy consumption ¨  Multi-level energy analysis ¨  Business context energy consumption ¨  Energy situational awareness n  Linked dataspace for Energy Intelligence (LEI) ¨  Supports requirements using Dataspaces, Linked Data, Complex Event Processing for Situational Awareness n  Future work ¨  Investigate appropriate support services for linked dataspaces using approximation techniques ¨  Interoperability of system services as RESTful services. Enabling Networked Knowledge
  • 28. Further ReadingDigital Enterprise Research Institute www.deri.ie E. Curry, S. Hasan, and S. O’Riáin, “Enterprise Energy Management using a Linked Dataspace for Energy Intelligence,” in The Second IFIP Conference on Sustainable Internet and ICT for Sustainability (SustainIT 2012) http://www.edwardcurry.org/publications/curry_SustainIT_2012.pdf Enabling Networked Knowledge
  • 29. Selected ReferencesDigital Enterprise Research Institute www.deri.ie Sustainability Use Cases n  Curry, E., et al . (2011). An Entity-Centric Approach To Green Information Systems. 19th European Conference on Information Systems (ECIS 2011). n  Curry, E., & Donnellan, B. (2012). Green and Sustainable Informatics. In, Harnessing Green IT: Principles and Practices. John Wiley & Sons n  Curry, E. et al. An Environmental Chargeback for Data Center and Cloud Computing Consumers, in First International Workshop on Energy-Efficient Data Centers, 2012. n  Curry, E. et al, Building Optimisation using Scenario Modeling and Linked Data, in 1st Workshop Linked Data in Architecture and Construction 2012 n  Curry E. et al, Enterprise Energy Management using a Linked dataspace for Energy Intelligence. In: The Second IFIP Conference on Sustainable Internet and ICT for Sustainability (SustainIT) 2012. Enabling Networked Knowledge
  • 30. Selected ReferencesDigital Enterprise Research Institute www.deri.ie Information Management n  Hasan, S. et al. (2011). Toward Situation Awareness for the Semantic Sensor Web: Complex Event Processing with Dynamic Linked Data Enrichment. 4th International Workshop on Semantic Sensor Networks n  Hasan, S. et al, Approximate Semantic Matching of Heterogeneous Events, in 6th ACM International Conference on Distributed Event-Based Systems n  Curry E. (2012) System of Systems Information Interoperability using a Linked Dataspace In: IEEE 7th International Conference on System of Systems Engineering (SOSE 2012). IT Management n  Curry, E. et al. Developing an Sustainable IT Capability: Lessons From Intel’s Journey, MIS Quarterly Executive, vol. 11, no. 2, pp. 61-74, 2012. n  Donnellan B. et al, (2011) A Capability Maturity Framework for Sustainable Information and Communication Technology. IEEE IT Professional 13(1). n  Curry E, et al, (2012) A Maturity Model For Energy Efficiency in Mature Data Centres, 1st International Conference on Smart Grids and Green IT Systems Enabling Networked Knowledge

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