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BigDataEurope - Big Data & Energy

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Big Data and the Energy domain (vis-a-vis the respective H2020 Societal Challenge) - Opportunities, Challenges and Requirements. As presented and discussed in the public launch of the BigDataEurope project.

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BigDataEurope - Big Data & Energy

  1. 1. BIG DATA EUROPE on Empowering Communities with Data Technologies BIG DATA & ENERGY I - Opportunities, Challenges and Requirements
  2. 2. *_, -:""’, '.; .., ';§-. =.-_3,_ Big DataEurope Kick-off public event 27/2/2015 L CRES BDE & Societal Challenges in Energy '. ;"'-.3;-"I. A| '|E RES i: ll| |l: —:é Ewllllll’ O X Tmget field of C in Energy %1mi]nl UE| ectricity production, transmission and distribution Renewable energy production DDistributed production and smart grids UEnergy saving UEnergy policy planning vnwv. big -data-eu1upe. eu
  3. 3. Big DataEurope Kick-off public event 27/2/2015 . ;;'‘'-. ‘.: -‘'I A| '|E RES CRES BDE & Societal Challenges in Energy i: ll| |l: —:é Ewllllll’ O X %m usefl in Energy Doimain DMonitoring complex electro-mechanical systems (O&M, condition and health monitoring CM/ SHM, preventive maintenance, optimization based on historic data etc) Monitoring of energy flow on transmission and distribution grids (RTUs, smart metering etc) DForecasting of energy demand and renewable energy production (localized weather, access historic reanalysis data, model optimization etc) vnwv. big -data-eu1upe. eu
  4. 4. *_, -,r""’, '.; .., ';§-. =:,3,_ Big DataEurope Kick-off public event 27/2/2015 . ;;'‘'-. ‘.: -‘'I A| '|E RES CRES BDE & Societal Challenges in Energy I: lI| |I: —:é Ewllllll’ O X %m usefl in Energy Doimain Market data UMonitoring/ optimizing/ control of Internet connected distributed systems or components (inverters etc; Internet of Things) DMonitoring/ optimizing energy management systems (BMS etc) Dsocioeconomics/ geospatial/ resource/ legislation etc data for Energy policy vnwv. big -data-eu1upe. eu
  5. 5. Big DataEurope Kick-off public event 27/2/2015 - CRES BDE & Societal Challenges in Energy gggg . p.5 2 Electricity production, tralsnlission and distribution DUti| ities/ Operators (system monitoring, forecasting) DTransport System Operators (grid/ substation monitoring, energy flow, smart grids in transmission level, forecasting) DDistribution System Operators & aggregators (grid/ substation monitoring, AMI automated metering infrastructure, historic data management and forecasting) vwwnhig -data-elnupe/ .eu
  6. 6. i CRES BDE & Societal Challenges in Energy , BigDataEurope Kick-off public event 27/2/2015 A| '|E RES r: ll| |I: —:é Enllllll’ O X p.6 Benevvahle energy pmduction DManufacturers (fleet monitoring) DWind Farm operators (system monitoring, resource forecasting/ day ahead bidding) mstlihullgedl pmduction and snmrt grids DDSOs & aggregators (grid/ substation monitoring, energy flow and balancing, smart metering, forecasting, demand side management) vwwv. big -data-eu1upe. eu
  7. 7. Big DataEurope Kick-off public event 27/2/2015 CRES BDE & Societal Challenges in Energy . pl? A| '|E RES r: ll| |I: —:é Enllllll’ O X Energy saving Dlndustrial sector (energy MS, large distributed installations) DBui| ding & commercial sector (building envelope, audit data, user preferences and behavior etc) Energy policy p DResource estimation (wind atlases, climate effects etc) Exploitation of socioeconomic/ geospatial/ legislation data from various sources and formats vwwv. big -data-eu1upe. eu
  8. 8. *_, -:""’, '.; .., ';§-. =.-_3,_ Big DataEurope Kick-off public event 27/2/2015 L CRES BDE & Societal Challenges in Energy '. ;"'-.3;-"I. A| '|E RES r: ll| |I: —:é Ewllllll’ O X fita Ailmytics in Energy Statistics - baseline analytics (statistical analysis, multivariate analysis etc) °Mode| ing (Linear/ non linear modeling (regressive, ANN etc), CFD (atmospheric boundary layer, mesoscale modeling, environmental parameter modeling etc), FEM (structural modeling) °Ana| ysis methods: structural analysis (fatigue, fracture etc), dynamic analysis (frequency domain analysis, enveloping etc) °Forecasting methods °Specia| ized procedures for filtering, pattern recognition etc vwwnlnig-data-eu1upe. eu
  9. 9. Big DataEurope Kick-off public event 27/2/2015 CRES BDE & Societal Challenges in Energy . pig A| '|E RES r: ll| |I: —:é Enllllll’ O X Clmflenges to be fifilessed by g in Enellgy DCompetitive energy production via lower O&M costs and accurate forecasting and grid management Expansion and Optimal operation of smart grids DRobust decision making via accessing large data sources vnwnlnig -data-eunupe/ .eu
  10. 10. g. -' _, BigDataEurope Kick-off public event 27/2/2015 . CRES BDE & Societal Challenges in Energy A| '|E RES r: ll| |I: —:é Enllllll’ O X p. 1 O Inflieative Stalwlmlder list °Uti| ities/ operators (EoN, RWE, Enel, Dong, Vattenfall, lberdrola, PPC, TERNA etc) -Transport System Operators (ENTSO European network, National TSOs) -Distribution System Operators (National/ local DSOs, EDSO for smart grids) -Energy Regulatory Agencies (ENTSOG European network, RAE etc) °S te / com onent manufacturers (VESTAS, SIEMENS, etc; Electrical -- ‘I a-eun 3‘omp: ’o'nents AeBel§, Alstom, Siemens etc)
  11. 11. Big DataEurope Kick-off public event 27/2/2015 p. 1 1 A| '|E RES CRES BDE & Societal Challenges in Energy r: lllll: —:é Enllllll’ O X Inflieative Stalwlmlder list -Smart grids (SmartGrids. eu platform) -Institutional stakeholders/ Associations (IEA International Energy Association (Energy Technology Exchange Data), EREC (EWEA, EPIA, etc), EERA, IRENA) Standardization bodies (IEC TC88 IEC-61400, IEC-61850) vnwnlnig -data-eunupe/ .eu

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