enterprise energy management using a linked dataspace for energy intelligence
DESCRIPTION
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.TRANSCRIPT
© Copyright 2011 Digital Enterprise Research Institute. All rights reserved.
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Enabling Networked Knowledge
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)
Digital Enterprise Research Institute National University of Ireland, Galway
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
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
Motivation
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New Engineering Building at NUI Galway
3
Cost -‐ € 40,000,000
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Research Motivation A Real-World Example
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Time Monday Tuesday Wednesday Thursday Friday08:00-‐09:0009:00-‐10:00 237 237 200 23710:00-‐11:00 237 237 237 20011:00-‐12:00 237 180 180 145 23712:00-‐13:00 237 200 237 200 14913:00-‐14:00 14514:00-‐15:00 221 237 145 14015:00-‐16:00 221 120 160 14016:00-‐17:00 149 250 16017:00-‐18:00 200 160
CO2 levels
ASHRAE 62.1-‐2010
Occupancy Pa@ern
AirCon 8:30-‐11:00 & 15:00-‐16:00 Mon to Fri Cost -‐ € 40,000,000
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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
Energy Intelligence
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Energy Intelligence platforms within an Enterprise will
need to support four key requirements
Enterprise Energy Management
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Holis&c Energy
Management
FaciliIes
Business Travel Data Centre
Daily Commute Office IT
Holistic Energy Consumption
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Example KPI: Energy used by global IT department
CIO
Example KPI: PUE of the Data Center in Dublin
Helpdesk
Example KPI: kWhs used by server 172.16.0.8
Maintenance Personnel
Building
Data Center
CEO
CSO
Operational Analysis • Technician needs
equipment power usage
• Low-level monitoring Sensors, events
Strategic Analysis • CIO needs high-level
business function power usage
• CSO real-time carbon emissions
Tactical Analysis • Manager needs energy
usage of business processes, business line or group
Multi-Level Energy Analysis
8 of XYZ
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Business Context of Energy Consumption
Resource Allocation
Energy
Finance
Asset Mgmt
Human Resources
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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).
Energy Situational Awareness
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n Architecture for Energy Intelligence Platforms ¨ Dataspace for Information Management
¨ Linked Data for sharing Information
¨ Complex Event Processing for Interpreting Data
Proposed Approach
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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.
What is a Dataspace?
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DBMS vs Dataspace
DBMS Dataspace
Model Relational All
Formats Homogenous Heterogeneous
Control Complete Partial
Query Precise Approximate
Integration Explicit Implicit/Incremental
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2008 2007
2008 2008
2008 2009
2009
The Linked Open Data cloud
2010
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Linked Open Data cloud - domains
Over 300 open data sets with more than 35 billion facts, interlinked by 500 million typed links.
http://lod-cloud.net/
Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch.
Media
Government
Geo
Publications
User-generated
Life sciences
Cross-domain
US government UK government
BBC New York Times
LinkedGeoData
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BestBuy Overstock.com Facebook
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Linked Data Principles
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
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Why Graphs and Ontologies?
Cities:Dublin
84421km2 Geo:IslandOfIreland
EU:RepublicOfIreland
Geo:locatedOn
Geo:area Geo:hasCapital
Geo:hasLargestCity
Wikipedia.org
Gov.ie
EU:RepublicOfIreland
Person:EndaKenny
Gov:hasTaoiseach Gov:hasDepartment
IE:DepartmentOfFinance
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What is Linked Data?
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Linked Dataspace
Dataspace + Linked Data = Linked Dataspace
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Building Data Center
Office IT Logistics
Corporate
Organisation-level
Business Process Personal-level
Linked dataspace for Energy Intelligence
Linked dataspace for Energy Intelligence
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Linked dataspace for Energy Intelligence
Applica
tions
Energy Analysis Model
Complex Events
Situation Awareness Apps
Energy and Sustainability Dashboards
Decision Support Systems
Linked
Dat
a
Support
Se
rvic
es
Entity Management
Service
Data Catalog
Complex Event Processing
Engine
Provenance Search & Query
Sourc
es
Adapter Adapter Adapter Adapter Adapter
n Interlinked Cloud of Energy Data
n Resource Description Framework (RDF)
n Semantic Sensor Network Ontology (SSN)
n Complex Event Processing
n Energy Saving Applications n Energy Awareness
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Linked Dataspace Corporate System
Building Management System Office IT System
Entity Graph in Cloud
foaf:name en:memberOf
“Edward Curry” “DGSIT”
h:p://www.deri.ie/about/team/member/edward_curry#me Office IT
Building
Corporate
en:has_a
en:consumption foaf:name
10kWh “MacBook Pro”
h:p://energy.deri.ie#macbook15698
h:p://www.deri.ie/about/team/member/edward_curry#me
en:consumption foaf:name
rm:occupant
50kWh “202e”
h:p://lab.linkeddata.deri.ie/2010/deri-‐rooms#r202e
h:p://www.deri.ie/about/team/member/edward_curry#me
owl:sameAs owl:sameAs
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Enterprise Energy Observatory
Smart Buildings Green Cloud Computing
Office IT Energy Mgmt. Personal Energy Mgmt.
Energy Saving Applications
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DERI Energy Overview
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IT Energy
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iEnergy – Personal
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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.
Summary
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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
Further Reading
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Selected References
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.
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
Selected References
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