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Conference: 2012 The IEEE International Workshop on Intelligent Energy Systems (IWIES) Title of the paper: Decision Support Tool for Retrofitting a District Towards District as a Service Authors: Anna Florea, Corina Postelnicu, Jose Luis Martinez Lastra, Mirko Presser, Trine Plambech, Mikel Larrañaga, Antonio Colino, José Antonio Márquez Contreras, Víctor Manuel Bayona Pons
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Decision Support Tool for Retrofitting a District Towards District as a Service
Date: November, 2013Linked to: URB-Grade ( FP7/2007-2013, GA n° 600058)
Contact information
Tampere University of Technology,
FAST Laboratory,
P.O. Box 600,
FIN-33101 Tampere,
Finland
Email: [email protected]
www.tut.fi/fast
Conference:
2012 The IEEE International Workshop on Intelligent Energy Systems (IWIES)
Title of the paper:
Decision Support Tool for Retrofitting a District Towards District as a Service
Authors:
Anna Florea, Corina Postelnicu, Jose Luis Martinez Lastra,
Mirko Presser, Trine Plambech, Mikel Larrañaga, Antonio
Colino, José Antonio Márquez Contreras, Víctor Manuel Bayona
Pons
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Decision Support Tool for Retrofitting a District Towards District as a Service
Anna Florea, Corina Postelnicu, Jose Luis Martinez Lastra,
Mirko Presser, Trine Plambech, Mikel Larrañaga, Antonio Colino, José
Antonio Márquez Contreras, Víctor Manuel Bayona Pons
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement
n° 600058.
FP7-2012-NMP-ENV-ENERGY-ICT-EeB callEEB-ICT-2011.6.5: ICT for energy efficient neighbourhoods
Start date: 2012-11-01 End date: 2016-01-31Contract Number: 600058
Total funding of 2.663.720 €
URB-Grade project summary9 partners from 3 countries:
2 LE’s TELVENT GLOBAL SERVICES SA, ES SEAS-NVE HOLDING AS, DK
2 SME’s THT CONTROL OY , FI FENIE ENERGIA SA , ES
3 RTD’s ALEXANDRA INSTITUTTET , DK IK4- TEKNIKER , ES TTY-SAATIO, FI
2 Cities AYUNTAMIENTO DE EIBAR, ES KALUNDBORG KOMMUNE, DK
FP7/2007-2013 GA n° 600058
Outline✦ Introduction✦ Background✦ URB-Grade Targets✦ Upgrading the District: Methodology and
Technical Approach✦ First Results: the District Profile✦ Conclusions
FP7/2007-2013 GA n° 600058
Introduction
• Smart Grid requires technological readiness of the demand side• Green field installations• Brownfield cases
• Decision making– Theoretical approach– ESCO approach (extensive on-site
measurements)
Considerations for upgrade planning solutions
‣ Automatic investigation of possible trade-offs between energy savings and user comfort, and identification of largest district improvement potential.
‣ Rapidly tailor decision support, should its purpose or user types slightly change.
‣ Access to real time information by city authorities and relevant stakeholders.
‣ Automatically incorporate the wishes of citizens into the decision making process.
‣ The need to provide solutions that are scalable.
‣ The need to fully exploit the potential of achieving energy savings by sharing multipurpose communication networks among several content providers
‣ The need to increase the cost effectiveness of decisions.
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FP7/2007-2013 GA n° 600058
Objective
URB-Grade project seeks to provide a common decision support tool for retrofitting a district towards a district as a
service facilitating integration of brownfield district with emerging technologies in urban services.
URB-Grade Vision and Methodology
DaaS Cloud Platform
City Authorities and Utilities
FP7/2007-2013 GA n° 600058
Methodology continued‣ Understanding the district structure and peculiarities
through District Profiling;‣ Quantifying the district by measuring district KPIs
(Quantification); ‣ Implementing solutions for district retrofitting (the
District Growth phase) and ‣ Validating successfulness of the retrofitting activity
through assessment of updated district profile and KPIs defined for selected retrofitting strategy (District Validation). At the end of validation stage a clear functional business model is available for the platform exploitation.
FP7/2007-2013 GA n° 600058
Background• Data analysis and decision support
– Data is the key for understanding– Common reference model allowing managing
same data at different levels of the system within a domain
– integration of cross-domain data in a single data model
– From data analysis to decision support through visualisation
Pilot Sites
Kalundborg, Denmark
Town of Kalundborg, Denmark• EV charging stations• Consumption profiles of
residential homes
Decision Support: Policy decisions to improve the energy efficiency and use of renewable energy for residents.
Eibar, Spain
Town of Eibar, Spain• Current Street Lighting Systems
deployed in Eibar
Decision Support : Deciding which actions and in which city areas should be taken to reduce the consumption without compromising the quality of the service.
Barcelona, Spain
City of Barcelona, Spain• The assessment of the street‐shops
consumption profile
Decision Support : Deciding which actions and in which street‐shops should be taken to reduce the consumption without compromising the comfort.
FP7/2007-2013 GA n° 600058
URB-Grade Targets
• Heterogeneity of data and multiplicity of data sources
• streetlight energy efficiency in different types of urban area
• improving street shops consumption profile while maintaining comfort levels of citizens
FP7/2007-2013 GA n° 600058
End users
• Public Facility Management – to make decisions on energy saving investments, e.g. street lighting, schools, hospitals, etc.
• Private Facility Policy Support – to make decisions about policies and awareness campaigns, e.g. electric appliances trade-in-plan, home improvement or renewable energy micro-grid subsidies, etc., and who to target, e.g. entrepreneurs, residential, commercial or industrial areas, etc.
FP7/2007-2013 GA n° 600058
Conceptual architecture and Implementation process
•What vs. How• End-user requirements• Technical requirements
•Definition of District profile•Definition of KPIs
Technical approach based on standard open source tools and state-of the art technologies
FP7/2007-2013 GA n° 600058
First Results: the District Profile
FP7/2007-2013 GA n° 600058
Conclusions•The brownfield areas face a challenge of providing the required technological capabilities for the integration with emerging energy systems.
•The generality of the approach at the district definition level is ensured through introduction of the notion of district profile, which contains the district parameters, and the KPIs of interest
•From the technological perspective the generality is provided through use of open ICT standards for implementation.
FP7/2007-2013 GA n° 600058
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