Building Optimisation using Scenario Modeling and Linked Data

Building Optimisation using Scenario Modeling and Linked Data

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  Building Optimisation usingScenario Modeling and Linked Data Edward Curry, James O’Donnell, Edward Corry 1st Workshop Linked Data in Architecture and Construction (LDAC2012) Ghent 28/29 March 2012
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  Overview Digital Enterprise ResearchInstitute www.deri.ie  Introduction  IRUSE (Built Environment)  DERI (Semantic Web/Linked Data)  LBNL (Built Environment)  Cross-domain Data for Building Management  Enhanced Decision Support with Scenario Modelling  Challenges  Linked Building Data  DERI Building Use Case Enabling Networked Knowledge
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  Who are IRUSE? Basedat National University of Ireland, Galway Research Group of Civil/Mechanical Engineers 5 post-docs & 7 PhDs 3
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  IRUSE interested inBuilding Optimisation during Operational Phase HVAC systems integration and Optimisation Information driven building operation Stakeholders specific performance data Energy Simulation Building Information Models Calibration of simulation models 4
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  About DERI Digital EnterpriseResearch Institute www.deri.ie  Founded June 2003 as a CSET (Centre for Science, Engineering and Technology).  Link scientists and engineers / academia and industry  Fundamental research  Development of Irish-based technology companies  Attract industry  Education & outreach  DERI Institute  CSET  Commercialization, DAI  EU, EI, direct industry, IRCSET  DERI strategic plan responds to priorities  Local: University focus on Informatics, Physical & Computational Sciences  National: SMART Economy, Program for Government  International: EU Digital Agenda Enabling Networked Knowledge
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  About DERI Digital EnterpriseResearch Institute www.deri.ie  Number one in its core space  Research Publications > 950  Participate in 17 standardisation groups (W3C, OASIS)  Approx 140 members from 30 nations  57 PhD’s /Masters  42 completed PhDs/Masters  Core Industrial Partners:  MNC’s: Cisco, Avaya, Bel-Labs, Ericsson…  SME’s: Storm, Celtrak, OpenLink……  Research: FBK  Total Research Grants: >€60 million  SFI, EU Framework, Enterprise Ireland, Industry Enabling Networked Knowledge
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  The 2012 DERIHouse Digital Enterprise Research Institute www.deri.ie DERI Applied Research Commercialisation eBusiness Green & eLearning Financial Services Sustainable IT Health Care Cyber Data eGovernment Life Sciences Security Linked Cloud Analyt Data ics Information Security, Cloud Data Sensor Social Software Mining Privacy Management Middleware and Retrieval & Trust Data Natural Service Reasoning and Knowledge Visualisation Language Oriented Querying Discovery and Interaction Processing Architecture DERI is designed to provide an integrated solution Enabling Networked Knowledge
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  Lawrence Berkeley NationalLaboratory Founded in 1931 Awarded 13 Nobel Prizes ~ $850 Million annual budget 4200 Employees including: 1685 Scientists, Engineers and faculty 475 Postdoctoral fellows 560 Undergraduate and graduate student employees 8
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  My position andresearch activities at LBNL Energy and Environmental Sciences Environmental Energy Technologies Division Building Technology and Urban Systems Department Create whole building energy simulation models of buildings Create interoperable processes to Develop software for whole building support whole building energy simulation energy simulation Create stakeholder driven information display methods, based on automated data processing, for performance evaluation of buildings 9
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  IRUSE, LBNL, andDERI have Complementary Research Interests Main focus of interest at Decision IRUSE/LBNL Support Holistic Performance View Resource Performance Fault Stakeholder Financial Analysis Metrics Detection Analysis Management Analytic Layer Main focus of interest at DERI Operational Stakeholder Data Data Aggregation Layer RDF BMS BIM Utilities Weather FM Financial Other Data Raw Data Silos 10
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  Organisations incur substantialcosts as a result of data mismanagement Confusion No Interoperability Cost Overruns Higher Costs Inefficiencies Building Manager 11
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  Research Motivation -a concrete example CO2 levels 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 12
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  These are thetypes of data that we wish to leverage Utility Bills BMS Sensor & Weather Data Meter Data HR Occupancy Security Fire Simulation Models Building Models Other Data Output 13
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  Scenario Modelling providesa holistic interpretation of building performance 14
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  Define information requiredby stakeholder and related data Scenario Description Performance Building Performance Performance Formulae Datum Sources Aspects Objects Objectives Metrics A B C 15
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  A building managerwould like to analyse comfort and energy consumption Scenario: Compare Comfort & Energy Consumption Performance Building Performance Performance Formulae Datum Sources Aspects Objects Objectives Metrics Measured Datum 1: Zone Temperature ( C) Building Gymnasium Maintain Zone Zone Zone Temperature Temperature = (Datum1) Function Datum 1: Zone Temperature ( C) Simulated Measured Datum 1: Water Flow Rate (kg/s) Datum 2: Water Supply Temperature ( C) Datum 3: Water Return Temperature ( C) Energy Optimise Chiller Chiller Energy =(Datum 1*Constant Chiller Consumption Operation Output *(Datum3-Datum2)) Datum 1: Water Flow Rate (kg/s) Datum 2: Water Supply Temperature ( C) Constant = Specific Heat Capacity of Datum 3: Water Return Temperature ( C) output fluid measured in J/kgK Simulated 16
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  Cross-Domain Perspective Digital EnterpriseResearch Institute www.deri.ie ENERGY FINANCE ERP CARBON BMS Enabling Networked Knowledge
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  Key Challenges Digital EnterpriseResearch Institute www.deri.ie  Initially developed a Performance Framework Tool  IFC based  Encountered significant roadblocks with BIM  Originally felt BIM was central pillar of performance assessment  Recognise an as-built BIM is one of many pillars  Technology and Data Interoperability  Data scattered among different information systems  Multiple incompatible technologies make it difficult to use  Dynamic data, sensors, ERP, BMS, assets databases, … Enabling Networked Knowledge 18
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  Linked Building Data DigitalEnterprise Research Institute www.deri.ie  Linking building data builds context between systems  Relevant information can linked together to build holistic views of the building  Broader context can be used in decision making  Maintains loose coupling between systems  Allows domain systems to focus on their expertise  Allows systems to develop independently Enabling Networked Knowledge 19
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  IRUSE, LBNL, andDERI have Complementary Research Interests Main focus of interest at Decision IRUSE/LBNL Support Holistic Performance View Resource Performance Fault Stakeholder Financial Analysis Metrics Detection Analysis Management Analytic Layer Main focus of interest at DERI Operational Stakeholder Data Data Aggregation Layer RDF BMS BIM Utilities Weather FM Financial Other Data Raw Data Silos 20
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  Case Study: DERIBuilding Digital Enterprise Research Institute www.deri.ie  DERI Building  No BMS or BEMS  160 person Office space  Café  Data centre  3 Kitchens  80 person Conference room  4 Meeting rooms  Computing museum  Sensor Lab Enabling Networked Knowledge 21
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  DERI Dataspace Digital EnterpriseResearch Institute www.deri.ie Applications Decision Support Energy Analysis Energy and Situation Awareness Systems Model Sustainability Dashboards Apps Complex Events Services Support Entity Complex Event Data Provenance Search & Management Processing Catalog Query Engine Service Linked Data Adapter Adapter Adapter Adapter Adapter Sources Enabling Networked Knowledge
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  Building Energy Digital EnterpriseResearch Institute www.deri.ie 1. Data from Enterprise Linked Data Cloud 2. Sensor Data 3. Building Energy Situation Awareness Enabling Networked Knowledge 23 of 26
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  DERI Energy Observatory DigitalEnterprise Research Institute www.deri.ie Enterprise Energy Observatory Organisation Business Process Personal Linked dataspace for Energy Intelligence (Linked Data, Semantic Web, Semantic Sensor Networks) Enabling Networked Knowledge 24
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  Selected References Digital EnterpriseResearch Institute www.deri.ie  Curry, E., et al . (2011). An Entity-Centric Approach To Green Information Systems. 19th European Conference on Information Systems (ECIS 2011).  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  Curry, E., & Donnellan, B. (2012). Green and Sustainable Informatics. In, Harnessing Green IT: Principles and Practices (in press). John Wiley & Sons  Curry, E. et al, Using Multi-Domain Data to Optimize Building Operational Performance: A Linked Data Approach to Interoperability. Advanced Engineering Informatics. (Under Review)  White, M. et al. An Energy Efficiency Metric to Report the Cost of Data Centre Services to Consumers in Real-Time. DCEE 2012, (Under Review)  Curry, E. et al. Towards an Open Platform for Holistic Real-time Enterprise Energy Intelligence: A Linked Data Approach, e-Energy 2012, (Under Review)  Curry. E. et al. Intel and IT Sustainability, MISQE, (Under Review) Enabling Networked Knowledge