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SEMANCO Workshop: Analysing and Visualising energy related data in our buildings, towns, and cities. http://semanco-visualization-workshop.blogspot.com.es/ La Salle Campus Barcelona, Spain, 11-12 April 2013.
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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
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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.
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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.
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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.
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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.
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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.).
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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.
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Lola Alacreu (ETRA I+D)
lalacreu.etra-id@grupoetra.com
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