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ENERGY
INFORMATION
SYSTEM
ICT solution for
collection and analysis of
data on energy
consuption
Damir Lončarić mag.ing.
City of Zagreb, City Office of Energy,
Enviroment and Sustainablre Development
Dr.sc.Drago Cmuk
Končar, Electronics and Informatics Inc.
Main objectives of the EIS
• collecting and storing data on energy consumption
• early detection and alarming in case of breakdowns,
unexpected events and poor energy efficiency
• monitoring and management of energy consumption
• analysis of collected data
• support in consumption planning and energy efficiency
measures
• support in planning investments into energy
refurbishment and monitoring refurbishment projects
• reducing energy consumption
• improving energy efficiency in buildings
• taylor-made tool for facility management
Domain of the EIS
• buildings owned by the City of Zagreb
• monitoring energy and water consumption for
about 900 facilities owned by the City of Zagreb
through energy information system
• the average energy consumption of the buildings is
about 275 GWh/a (heating, hot water and
electricity)
• net usable area of objects is about 1.5 mil m²
EIS system architecture
• OBJECTS - buildings
• SUBJECTS – users
• DATA :
• static
• related to the object
• related to the subject
• dynamic
• ANALYSIS
• REPORT
Static data
1. Static data related to buildings
(objects)
• collection of static data objects is made
from energy audits and energy certificates
of buildings
• area of heating / cooling
Construction characteristics of the
building, the condition of the envelope
• annual heating/cooling demand
• heat losses of the building
• energy source for heating / cooling
• energy classification
• type of implemented renewable energy
• energy and cost savings measures
Static data
• 2 .Static data related to users (subjects):
• information about the users
• number of users
• purpose of the use
• hours of use
Dynamic data
• 1. consumption of energy and water :
• according to power bills from the energy supplier
(usually on a monthly level) which is entered into the
system manually
• by remote meter devices, on an hourly basis
• 2. daily meteorological data :
• temperature data
• the number of Celsius degree-days of the
heating/cooling season (according to season)
• the amount of solar radiation
• 3. produced energy by RES systems
Data models
• hierarchical relations
• between object and subject (by
connection more-more over a time
period)
• relations many to many
• (object, subject, static and dyamic data)
• each object is tied to one or more users
(subjects) that use the object in a specific
period
• Time domain
• objects and users are monitored in a
time domain with regards to the
changes in object use
Report – Object sheet
Report on energy consumption
of the buildings
Consumption – remote
measurements
Automatic reading of
energy consumption in
real time mode
Hourly consumption of
natural gas during
heating season in
kidergarten
Total energy consumption in
Croatia
43%
4%2%
18%
33% buildings
agriculture
construction
industry
traffic
Izvor: Energija u Hrvatskoj 2011, EIHP
The driving force behind EIS
• Integral solution for energy management
• Data collection
• Allows integration with smart technologies (smart metering, demand
response, smart grids …)
• Wide range of date sources
• Import of supplier or distributor data
• Manual input, scanning support (QR)
• Analysis
• Business intelligence reporting
• Advanced analysis based on different criteria and correlation
• Analysis based alarming
• Consumption planning
• Investments planning
EIS – The City of Zagreb
• An object can have one or
more users who change
over time (they can use an
object in different periods of
the day)
• They can use one or more
energy sources for different
purposes
• All this changing over time
and while being different for
each energy source
suppliers through time ...
EIS data model
ER diagram – central part
EIS – Advanced Metering
Infrastructure
Local area
network
(LAN)
Wide area
network (WAN)
CONCENTRATOR
Dana collection,
alarming, reporting
EIS
ANALYSIS
PLANNING
Advenced Metering
Infrastructure
RGT
RGT
RGT
RGT
RPT
KCT
IEEE
802.15.4
GPRS,
RADIO,
ETHERNET
SERIAL
W-MBUS
PULSES
MBUS
The power of EIS
• Supports hierarchical relationships between objects and subjects
• Support relations many to many (subjects, objects, measurands)
• Supports analysis of the use of the building and all the changes
through time
The power of EIS
• Real-time data monitoring and historical analysis of
the data regardless of the source
• Estimates impacts of different scenarios of energy
efficiency
• Comparison of planned and actual consumption
The power of EIS
• EE measures management (from the review, the
project, ...) and the combined measure
• Modeling estimates of consumption at the level of
the building, period, energy ...
Example scenario
• What is the best way to invest 5 mil € in EE renewal?
• 25 Kindergartens
• 12 schools
• Analysis shows:
• Kindergartens consumes 20 % more heat
• Schools consume 30 % more electricity
• Modeling scenario:
• Adding electrical equipment and public events as a
parameters (lighting & time of use to object school)
• Including temperature prediction model for next year
(warmer year expected)
• Savings will be bigger with schools renewed first!
• EIS allows integrated management of energy
• Monitoring
• Planning
• Investment optimization
• The flexibility of the system allows
• analysis of the different user indicators
• extension of the analysis to larger areas in the
hierarchy (street, city district, city) depending only on
the availability of the data
• model adjustment to estimate actual future
consumption
• investment management budget to most effective
way
• support for a new generation Smart metering systems
Conclusion
40 years as part of KONCAR group
Leading regional manufacturer and system integrator:
• ICT systems – Smart Metering, computers and servers, BI
systems, electronic modules production
• Energy sector - excitation systems, protection relays, electric
measurements devices and systems, process informatics,, DC
and AC UPS, renewable energy sources
• Transport - converters and control systems for railway vehicles,
EV chargers
• Main activities:
development, engineering and projecting, production,
testing, commissioning and maintenance of ICT systems
and devices
About Končar – Electronic and
Informatics Inc.
… thank you!

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ICT solutions for collecting and analysing data of energy consumption - Damir Lončarić

  • 1. ENERGY INFORMATION SYSTEM ICT solution for collection and analysis of data on energy consuption Damir Lončarić mag.ing. City of Zagreb, City Office of Energy, Enviroment and Sustainablre Development Dr.sc.Drago Cmuk Končar, Electronics and Informatics Inc.
  • 2. Main objectives of the EIS • collecting and storing data on energy consumption • early detection and alarming in case of breakdowns, unexpected events and poor energy efficiency • monitoring and management of energy consumption • analysis of collected data • support in consumption planning and energy efficiency measures • support in planning investments into energy refurbishment and monitoring refurbishment projects • reducing energy consumption • improving energy efficiency in buildings • taylor-made tool for facility management
  • 3. Domain of the EIS • buildings owned by the City of Zagreb • monitoring energy and water consumption for about 900 facilities owned by the City of Zagreb through energy information system • the average energy consumption of the buildings is about 275 GWh/a (heating, hot water and electricity) • net usable area of objects is about 1.5 mil m²
  • 4. EIS system architecture • OBJECTS - buildings • SUBJECTS – users • DATA : • static • related to the object • related to the subject • dynamic • ANALYSIS • REPORT
  • 5. Static data 1. Static data related to buildings (objects) • collection of static data objects is made from energy audits and energy certificates of buildings • area of heating / cooling Construction characteristics of the building, the condition of the envelope • annual heating/cooling demand • heat losses of the building • energy source for heating / cooling • energy classification • type of implemented renewable energy • energy and cost savings measures
  • 6. Static data • 2 .Static data related to users (subjects): • information about the users • number of users • purpose of the use • hours of use
  • 7. Dynamic data • 1. consumption of energy and water : • according to power bills from the energy supplier (usually on a monthly level) which is entered into the system manually • by remote meter devices, on an hourly basis • 2. daily meteorological data : • temperature data • the number of Celsius degree-days of the heating/cooling season (according to season) • the amount of solar radiation • 3. produced energy by RES systems
  • 8. Data models • hierarchical relations • between object and subject (by connection more-more over a time period) • relations many to many • (object, subject, static and dyamic data) • each object is tied to one or more users (subjects) that use the object in a specific period • Time domain • objects and users are monitored in a time domain with regards to the changes in object use
  • 10. Report on energy consumption of the buildings
  • 11. Consumption – remote measurements Automatic reading of energy consumption in real time mode Hourly consumption of natural gas during heating season in kidergarten
  • 12. Total energy consumption in Croatia 43% 4%2% 18% 33% buildings agriculture construction industry traffic Izvor: Energija u Hrvatskoj 2011, EIHP
  • 13. The driving force behind EIS
  • 14. • Integral solution for energy management • Data collection • Allows integration with smart technologies (smart metering, demand response, smart grids …) • Wide range of date sources • Import of supplier or distributor data • Manual input, scanning support (QR) • Analysis • Business intelligence reporting • Advanced analysis based on different criteria and correlation • Analysis based alarming • Consumption planning • Investments planning EIS – The City of Zagreb
  • 15.
  • 16. • An object can have one or more users who change over time (they can use an object in different periods of the day) • They can use one or more energy sources for different purposes • All this changing over time and while being different for each energy source suppliers through time ... EIS data model ER diagram – central part
  • 17. EIS – Advanced Metering Infrastructure Local area network (LAN) Wide area network (WAN) CONCENTRATOR Dana collection, alarming, reporting EIS ANALYSIS PLANNING
  • 19. The power of EIS • Supports hierarchical relationships between objects and subjects • Support relations many to many (subjects, objects, measurands) • Supports analysis of the use of the building and all the changes through time
  • 20. The power of EIS • Real-time data monitoring and historical analysis of the data regardless of the source • Estimates impacts of different scenarios of energy efficiency • Comparison of planned and actual consumption
  • 21. The power of EIS • EE measures management (from the review, the project, ...) and the combined measure • Modeling estimates of consumption at the level of the building, period, energy ...
  • 22. Example scenario • What is the best way to invest 5 mil € in EE renewal? • 25 Kindergartens • 12 schools • Analysis shows: • Kindergartens consumes 20 % more heat • Schools consume 30 % more electricity • Modeling scenario: • Adding electrical equipment and public events as a parameters (lighting & time of use to object school) • Including temperature prediction model for next year (warmer year expected) • Savings will be bigger with schools renewed first!
  • 23. • EIS allows integrated management of energy • Monitoring • Planning • Investment optimization • The flexibility of the system allows • analysis of the different user indicators • extension of the analysis to larger areas in the hierarchy (street, city district, city) depending only on the availability of the data • model adjustment to estimate actual future consumption • investment management budget to most effective way • support for a new generation Smart metering systems Conclusion
  • 24. 40 years as part of KONCAR group Leading regional manufacturer and system integrator: • ICT systems – Smart Metering, computers and servers, BI systems, electronic modules production • Energy sector - excitation systems, protection relays, electric measurements devices and systems, process informatics,, DC and AC UPS, renewable energy sources • Transport - converters and control systems for railway vehicles, EV chargers • Main activities: development, engineering and projecting, production, testing, commissioning and maintenance of ICT systems and devices About Končar – Electronic and Informatics Inc.