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

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Presentation on theme: "Use of Cloud Computing Technology for Energy Efficiency Monitoring in Business and Industrial environment dr. Gregor Černe mag. Aleš Černivec Sandi Dolenc."— Presentation transcript:

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 manager project manager INEA, Ljubljana XLAB, Ljubljana Domel, Železniki

2 Presenter Company Logo Goes Here 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. Project SPEU Identification

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

4 Presenter Company Logo Goes Here 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 Project SPEU Service functionalities

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

6 Presenter Company Logo Goes Here 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 Classificationof the performance indicators

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

8 Presenter Company Logo Goes Here System architecture SPEU cloud computing architeture

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

10 Presenter Company Logo Goes Here 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 Web portal functionalities

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

12 Use of mobile devices Self detection of 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) Mobile device display Presenter Company Logo Goes Here

13 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) Analyses Presenter Company Logo Goes Here

14 User Web interface Consumption

15 Presenter Company Logo Goes Here User Web interface Indicators

16 Presenter Company Logo Goes Here User Web interface Energy targeting

17 Presenter Company Logo Goes Here User Web interface Alarming

18 Presenter Company Logo Goes Here User Web interface Benchmarking

19 Presenter Company Logo Goes Here 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 Next steps

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


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