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SmartKYE: Business decision support
tool for Public authorities
Lola Alacreu (ETRA I+D)
12th of April
1
SmartKYE: Smart grid KeY nEighbourhood indicator cockpit
2
The problem
• Smart cities of the future will depend on their neighborhoods
to monitor and efficiently manage the smart grids.
• The infrastructure of the districts will be highly
heterogeneous: management systems of public lighting,
public buildings, traffic lights, electric vehicles, micro-
generators, etc.
• Integration with business systems will be done in an
inflexible way
SmartKYE: Smart grid KeY nEighbourhood indicator cockpit
3
Our Mission
• Our MISSION is to develop a system for the future smart
grid neighbourhood that will enable better business decisions
to be made based on real-time fine-grained data.
• Key end-users targeted are the public authorities who can
monitor and manage key indicators in neighbourhoods with
the goal of better energy efficiency and CO2 reduction.
SmartKYE: Smart grid KeY nEighbourhood indicator cockpit
4
Objetives
• The SmarKYE solution will include:
o An open platform for energy services as a flexible information
center integrating different energy management systems
implemented in a district.
o A cockpit for end-users enabling public authorities to manage and
evaluate the use of energy to improve efficiency and the
reduction of CO2.
SmartKYE: Smart grid KeY nEighbourhood indicator cockpit
5
Thematic session 1: Smart grids Energy
performance indicators
• Key end-users of SMARTKYE project are municipalities
who can monitor and manage key indicators in
neighborhoods for better energy efficiency.
o Specific KPIs per type of Energy system:
• Increase consumption efficiency, increase production
efficiency, CO2 emissions reduction, etc.
o General KPIs:
• Distribution smart-grid efficiency, Impact in network
losses, Impact in peak demand ratio, etc.
SmartKYE: Smart grid KeY nEighbourhood indicator cockpit
6
Thematic session 3: Developing business models
• Municipalities can monitor and manage smart grids with
the goal of better energy efficiency.
• Data will be acquired from all stakeholders, processed
in the platform based on business related rules and
communicated to the cockpits.
• There, real-time analytics will be done and results will
be considered by a Decision Support System in the
Business cockpit for business related aspects.
SmartKYE: Smart grid KeY nEighbourhood indicator cockpit
7
Thematic session 3: Developing business models
• Main risks are always connected to the lack of a mature open
energy data.
• Most of the EMSs involved in the project are already
accessible to the end-user (municipalities), however, there
are some data coming from external stakeholders (DSOs,
ESCOs, facility managers, etc.).
SmartKYE: Smart grid KeY nEighbourhood indicator cockpit
8
Thematic session 3: Developing business models
• New business models to increase project impact by means of
other stakeholders data:
o Business model 1 “Mandatory deployment”:
Compulsory publication of data from the rest of stakeholders
(DSOs, ESCOs, facility management, etc.) in exchange for
they access to OESP information.
o Business model 2 “Incentives from the municipality”:
Stakeholders incentivized (discount in municipal taxes) to
publish their data in exchange for they access to OESP.
o Business model 3 “Incentives from the rest of end-
users”: Stakeholders incentivized from the rest of the
stakeholders (reduction electricity bill, electric vehicles
information, etc.) to publish their data in exchange for they
access to OESP.
SmartKYE: Smart grid KeY nEighbourhood indicator cockpit
9
Lola Alacreu (ETRA I+D)
lalacreu.etra-id@grupoetra.com

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Semanco workshop Theme2 - Smartkye

  • 1. SmartKYE: Business decision support tool for Public authorities Lola Alacreu (ETRA I+D) 12th of April 1
  • 2. SmartKYE: Smart grid KeY nEighbourhood indicator cockpit 2 The problem • Smart cities of the future will depend on their neighborhoods to monitor and efficiently manage the smart grids. • The infrastructure of the districts will be highly heterogeneous: management systems of public lighting, public buildings, traffic lights, electric vehicles, micro- generators, etc. • Integration with business systems will be done in an inflexible way
  • 3. SmartKYE: Smart grid KeY nEighbourhood indicator cockpit 3 Our Mission • Our MISSION is to develop a system for the future smart grid neighbourhood that will enable better business decisions to be made based on real-time fine-grained data. • Key end-users targeted are the public authorities who can monitor and manage key indicators in neighbourhoods with the goal of better energy efficiency and CO2 reduction.
  • 4. SmartKYE: Smart grid KeY nEighbourhood indicator cockpit 4 Objetives • The SmarKYE solution will include: o An open platform for energy services as a flexible information center integrating different energy management systems implemented in a district. o A cockpit for end-users enabling public authorities to manage and evaluate the use of energy to improve efficiency and the reduction of CO2.
  • 5. SmartKYE: Smart grid KeY nEighbourhood indicator cockpit 5 Thematic session 1: Smart grids Energy performance indicators • Key end-users of SMARTKYE project are municipalities who can monitor and manage key indicators in neighborhoods for better energy efficiency. o Specific KPIs per type of Energy system: • Increase consumption efficiency, increase production efficiency, CO2 emissions reduction, etc. o General KPIs: • Distribution smart-grid efficiency, Impact in network losses, Impact in peak demand ratio, etc.
  • 6. SmartKYE: Smart grid KeY nEighbourhood indicator cockpit 6 Thematic session 3: Developing business models • Municipalities can monitor and manage smart grids with the goal of better energy efficiency. • Data will be acquired from all stakeholders, processed in the platform based on business related rules and communicated to the cockpits. • There, real-time analytics will be done and results will be considered by a Decision Support System in the Business cockpit for business related aspects.
  • 7. SmartKYE: Smart grid KeY nEighbourhood indicator cockpit 7 Thematic session 3: Developing business models • Main risks are always connected to the lack of a mature open energy data. • Most of the EMSs involved in the project are already accessible to the end-user (municipalities), however, there are some data coming from external stakeholders (DSOs, ESCOs, facility managers, etc.).
  • 8. SmartKYE: Smart grid KeY nEighbourhood indicator cockpit 8 Thematic session 3: Developing business models • New business models to increase project impact by means of other stakeholders data: o Business model 1 “Mandatory deployment”: Compulsory publication of data from the rest of stakeholders (DSOs, ESCOs, facility management, etc.) in exchange for they access to OESP information. o Business model 2 “Incentives from the municipality”: Stakeholders incentivized (discount in municipal taxes) to publish their data in exchange for they access to OESP. o Business model 3 “Incentives from the rest of end- users”: Stakeholders incentivized from the rest of the stakeholders (reduction electricity bill, electric vehicles information, etc.) to publish their data in exchange for they access to OESP.
  • 9. SmartKYE: Smart grid KeY nEighbourhood indicator cockpit 9 Lola Alacreu (ETRA I+D) lalacreu.etra-id@grupoetra.com