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

dr. Gregor Černe mag. Aleš Černivec Sandi Dolenc

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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 project manager project manager project manager - PowerPoint PPT Presentation

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Page 1: 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

INEA, Ljubljana XLAB, Ljubljana Domel, Železniki

Page 2: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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 SPEUIdentification

Page 3: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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• 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 SPEUProject goal

Page 4: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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• 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 SPEUService functionalities

Page 5: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

Business process of the monitoring

Energy monitoring process

• Savings– Unnecessary consumption removal– Process efficiency improvement– Device efficiency improvement

Presenter Company Logo Goes Here

Measuring production/consumption

(re) definition og the energy consumption goals

Report on energy consumption efficiency

Investments in consumption saving

Page 6: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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• 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

Page 7: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

Monitoring levels

Monitoring levels

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Primary processmaterial

steam electricitygas

product

material

Company

Department 1 Department 2

Department 3 Production line

product

Input energy

Produced energy

Company 1

Company 2

Corporation

SPEU benchmarking

Page 8: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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System architecture

SPEU cloud computing architeture

Page 9: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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System architecture – OpenStack NetworkInfrastructure

OpenStack details

Page 10: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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• 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

Page 11: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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Integration ArchitectureUse of REST interface

Use of REST interface

webApplication/browser

Presentation logic

Business logicPersistance(DB)

Page 12: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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

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Page 13: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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

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Page 14: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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User Web interface

Consumption

Page 15: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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User Web interface

Indicators

Page 16: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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User Web interface

Energy targeting

Page 17: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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User Web interface

Alarming

Page 18: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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User Web interface

Benchmarking

Page 19: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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• 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

Page 20: dr. Gregor Černe          mag. Aleš Černivec     Sandi Dolenc

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Thank You

Gregor ČerneINEA

[email protected]

+386 1 513 8190