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dr. Gregor Černe mag. Aleš Černivec Sandi Dolenc

Use of Cloud Computing Technology for Energy Efficiency Monitoring in Business and Industrial environment. dr. Gregor Černe mag. Aleš Černivec Sandi Dolenc project manager project manager project manager

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dr. Gregor Černe mag. Aleš Černivec Sandi Dolenc

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  1. Use of Cloud Computing Technology for Energy Efficiency Monitoring in Business and Industrial environment dr. Gregor Černe mag. Aleš Černivec Sandi Dolenc project manager project managerproject manager INEA, Ljubljana XLAB, Ljubljana Domel, Železniki

  2. Project SPEU Identification • SPEU: Energy Efficiency Monitoring Web Portal • Call for funds e-storitve 2012, Ministry of Education Science and Sport (from Nov 2012 to Maj 2014) • Consortium: INEA, XLAB, Domel • Result: Merging of advanced IT technology (cloud computing) and energy efficiency monitoring service in Web portal. Presenter Company Logo Goes Here

  3. Project SPEUProject goal • Prototype of the energy monitoring service • Set up of the energy monitoring application on Cloud computing platform • Use of various end user mobile devices • Transferof the application from end user environment to the service provider • Dissemination of the technical data into the business environment Presenter Company Logo Goes Here

  4. Project SPEUService functionalities • Consumption and cost monitoring • Measurement collection and storage • Monitoring on various levels (company, location, process, device) • Consumption efficiency calculation • Preparation of the performance indicators • Historical consumption and cost comparison • Comparison with other users on the common bases - benchmarking Presenter Company Logo Goes Here

  5. Business process of the monitoring • Savings • Unnecessary consumption removal • Process efficiency improvement • Device efficiency improvement Energy monitoring process (re) definition og the energy consumption goals SPEU Measuring production/consumption Investments in consumption saving Report on energy consumption efficiency Presenter Company Logo Goes Here

  6. Classificationof the performance indicators • Commercial buildings • Typical consumption of Electricity, Heating, water • Efficiency of HVAC systems • Performance indicators (consumption per user, consumption per size) • Industrial processes • Sort per industrial branch • Production efficiency • Business processes • Consumption per income • Consumption per product Presenter Company Logo Goes Here

  7. material Primary process product Produced energy Company steam gas electricity Department 2 Department 1 material product Department 3 Production line Input energy Monitoring levels • Primary process • Production Line/department • Company/Location • Corporation • City Monitoring levels SPEU benchmarking Company 1 Company 2 Corporation Presenter Company Logo Goes Here

  8. System architecture SPEU cloudcomputingarchiteture Presenter Company Logo Goes Here

  9. System architecture – OpenStack Network Infrastructure OpenStackdetails Presenter Company Logo Goes Here

  10. Web portal functionalities • Log in via Sigle Sign on mechanisms • Safe communication (SSL/TLS) with the option of external user database connection • Definition of different user roles with corresponding adaptation of interface (coordinator, administrator, user) • Web interface for administration of the users and companies • Use of CLI interface • Monitoring data visualization Presenter Company Logo Goes Here

  11. Integration Architecture Use of REST interface Use of REST interface Application/ browser Presentation logic Business logic web Persistance(DB) Presenter Company Logo Goes Here

  12. Mobile device display Use of mobile devices • Self detectionof the end user device • Adaptation of the display components • Use of adapted CSS (Bootstrap library) • REST: It is possible to develop dedicated HTML5 application (not yet available) (Image) Presenter Company Logo Goes Here

  13. Analyses Forecasting • Statistical method being used • 3-staged service • consuming data from the DB • Forecast algorithm • pushing data back to DB • Method applicable to periodic signals • Forecast based on data for a 28 days • Hourly forecasts with 80% and 95% confidence interval • Alarms are triggered if current usage falls out from the interval (Image) Presenter Company Logo Goes Here

  14. User Web interface Consumption Presenter Company Logo Goes Here

  15. User Web interface Indicators Presenter Company Logo Goes Here

  16. User Web interface Energy targeting Presenter Company Logo Goes Here

  17. User Web interface Alarming Presenter Company Logo Goes Here

  18. User Web interface Benchmarking Presenter Company Logo Goes Here

  19. Next steps • The use of REST interfaces enables us deployment to PaaS platforms (easier management) • Introduction of load balancers where needed • Monitoring, auditing of the resources • Alternative protocols for connections between external sensors and DB’s interfaces Presenter Company Logo Goes Here

  20. Thank You Gregor Černe INEA gregor.cerne@inea.si www.inea.si +386 1 513 8190 Presenter Company Logo Goes Here

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