EnvyPorto: Difference between revisions

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{{ActionCluster
{{ActionCluster
 
|image=PortoPortugal.jpg
| title            = EnvyPorto
|team=Citibrain (Portugal), InterInnov (France), Technical University Madrid (Spain)
| team             = Citibrain (Portugal), InterInnov (France), Technical University Madrid (Spain)
|leader=Rui Costa
 
|imagecaption=Porto Portugal
| leader           = Rui A. Cota
|municipalities=Porto Portugal
| email            = rcosta@ubiwhere.com
|status=Ready for Public Announcement
<!--[mailto:dcorreia@ubiwhere.com Diogo Correia]; [mailto:jmagen@interinnov.eu Jacques Magen]-->
|website=https://vimeo.com/173345729
| image            = PortoPortugal.jpg
|description=Through small and low cost sensing stations that can be installed in the urban infrastructure, it is possible to create a dynamic high level map of indicators on air quality, noise pollution levels, temperature, atmospheric pressure, humidity and luminosity. Using this high level map in articulation with the data collected using a small number of certified sensing stations (usually high-cost stations), cities will be able to define dynamic urban policies, namely on mobility and energy.
| imagecaption     = Porto Portugal
|challenges=Smart Environmental Quality
| municipalities   = Porto Portugal
|solutions=TBD
| status           = Ready for Public Announcement  
|requirements=* Assessment of specific requirements from the city involved
| website           = https://vimeo.com/173345729
| download          =
 
| description       =  
Through small and low cost sensing stations that can be installed in the urban infrastructure, it is possible to create a dynamic high level map of indicators on air quality, noise pollution levels, temperature, atmospheric pressure, humidity and luminosity. Using this high level map in articulation with the data collected using a small number of certified sensing stations (usually high-cost stations), cities will be able to define dynamic urban policies, namely on mobility and energy.
 
| challenges       =  
Smart Environmental Quality
 
| solutions             =  
 
| requirements       =  
* Assessment of specific requirements from the city involved
* Adaptation of the existing solution according to such needs  
* Adaptation of the existing solution according to such needs  
* Testing application pilot in a controlled real environment
* Testing application pilot in a controlled real environment
Line 29: Line 16:
* Scale up the solution to a broader coverage  
* Scale up the solution to a broader coverage  
* Deployment of solution in city
* Deployment of solution in city
 
|kpi=* CO2 emissions reduction of 40% (SEAP Plan - from 2004 until 2020)
 
| kpi               =  
* CO2 emissions reduction of 40% (SEAP Plan - from 2004 until 2020)
* Improve 20% of the energy efficiency (Covenant of Mayors)
* Improve 20% of the energy efficiency (Covenant of Mayors)
* Introduction of 20% of renewable energy (Covenant of Mayors)
* Introduction of 20% of renewable energy (Covenant of Mayors)
* Improvement of the quality of life of the citizens (PEDU)
* Improvement of the quality of life of the citizens (PEDU)
 
|measurement=In order to assess the benefits for the city and its citizens, the Methodologies in use will consist of direct and indirect methodologies and studies of the quality of life of the citizens. These will be applied and developed by external agencies such as the Agency for Energy, who will work in collaboration with the municipality in this project.
 
|standards=* This project will leverage on FIWARE (https://www.fiware.org/), a public, royalty-free and open source platform that eases the development of Smart Applications in multiple vertical sectors. Besides being one of the reference platforms for GCTC 2016, FIWARE is contributing to the International Technical Working Group on IoT-Enabled Smart City Framework launched by NIST. FIWARE brings the NGSI standard API which represents a pivot point for Interoperability and Portability of smart city applications and services.
 
| measurement       =  
In order to assess the benefits for the city and its citizens, the Methodologies in use will consist of direct and indirect methodologies and studies of the quality of life of the citizens. These will be applied and developed by external agencies such as the Agency for Energy, who will work in collaboration with the municipality in this project.
 
| standards         =  
* This project will leverage on FIWARE (https://www.fiware.org/), a public, royalty-free and open source platform that eases the development of Smart Applications in multiple vertical sectors. Besides being one of the reference platforms for GCTC 2016, FIWARE is contributing to the International Technical Working Group on IoT-Enabled Smart City Framework launched by NIST. FIWARE brings the NGSI standard API which represents a pivot point for Interoperability and Portability of smart city applications and services.
* Such FIWARE NGSI API is one of the pillars of the Open & Agile Smart Cities initiative (http://oascities.org/), a driven-by-implementation initiative that works to address the needs from the cities avoiding vendor lock-in, comparability to benchmark performance, and easy sharing of best practices. There are currently 89 cities from 19 countries in Europe, Latin America and Asia-Pacific who have officially joined this initiative, including the city of Porto.
* Such FIWARE NGSI API is one of the pillars of the Open & Agile Smart Cities initiative (http://oascities.org/), a driven-by-implementation initiative that works to address the needs from the cities avoiding vendor lock-in, comparability to benchmark performance, and easy sharing of best practices. There are currently 89 cities from 19 countries in Europe, Latin America and Asia-Pacific who have officially joined this initiative, including the city of Porto.
 
|cybersecurity=TBD
 
|impacts=* Strategic contribute for urban planning
| cybersecurity         =  
 
| impacts                 =  
* Strategic contribute for urban planning
* Decision support systems for civil protection
* Decision support systems for civil protection
* Improved public image
* Improved public image
* Platform to interact with citizens
* Platform to interact with citizens
 
|demonstration=* Phase I Pilot/Demonstration:
 
| demonstration       =
* Phase I Pilot/Demonstration:
Deployment of application pilot in a real environment, testing the performance with a set of early adopters
Deployment of application pilot in a real environment, testing the performance with a set of early adopters


* Phase II Deployment:
* Phase II Deployment:
Deployment of application in the city  
Deployment of application in the city
 
|supercluster=Transportation
 
|year=2016, 2017
| supercluster           = Transportation
|title=EnvyPorto
| year                   = 2017
|email=rcosta@ubiwhere.com
 
<!--[mailto:dcorreia@ubiwhere.com Diogo Correia]; [mailto:jmagen@interinnov.eu Jacques Magen]-->
}}
}}
[[Category:Year_2016]]

Revision as of 05:52, March 24, 2022


EnvyPorto
GCTC logo 344x80.png
PortoPortugal.jpg
Porto Portugal
Team Organizations Citibrain (Portugal)
InterInnov (France)
Technical University Madrid (Spain)
Team Leaders Rui Costa
Participating Municipalities Porto Portugal
Status Ready for Public Announcement
Document None

Description

Through small and low cost sensing stations that can be installed in the urban infrastructure, it is possible to create a dynamic high level map of indicators on air quality, noise pollution levels, temperature, atmospheric pressure, humidity and luminosity. Using this high level map in articulation with the data collected using a small number of certified sensing stations (usually high-cost stations), cities will be able to define dynamic urban policies, namely on mobility and energy.

Challenges

Smart Environmental Quality

Solutions

TBD

Major Requirements

  • Assessment of specific requirements from the city involved
  • Adaptation of the existing solution according to such needs
  • Testing application pilot in a controlled real environment
  • Refinement of application’s performance according to the feedback gathered
  • Scale up the solution to a broader coverage
  • Deployment of solution in city

Performance Targets

Key Performance Indicators (KPIs) Measurement Methods
  • CO2 emissions reduction of 40% (SEAP Plan - from 2004 until 2020)
  • Improve 20% of the energy efficiency (Covenant of Mayors)
  • Introduction of 20% of renewable energy (Covenant of Mayors)
  • Improvement of the quality of life of the citizens (PEDU)

In order to assess the benefits for the city and its citizens, the Methodologies in use will consist of direct and indirect methodologies and studies of the quality of life of the citizens. These will be applied and developed by external agencies such as the Agency for Energy, who will work in collaboration with the municipality in this project.

Standards, Replicability, Scalability, and Sustainability

  • This project will leverage on FIWARE (https://www.fiware.org/), a public, royalty-free and open source platform that eases the development of Smart Applications in multiple vertical sectors. Besides being one of the reference platforms for GCTC 2016, FIWARE is contributing to the International Technical Working Group on IoT-Enabled Smart City Framework launched by NIST. FIWARE brings the NGSI standard API which represents a pivot point for Interoperability and Portability of smart city applications and services.
  • Such FIWARE NGSI API is one of the pillars of the Open & Agile Smart Cities initiative (http://oascities.org/), a driven-by-implementation initiative that works to address the needs from the cities avoiding vendor lock-in, comparability to benchmark performance, and easy sharing of best practices. There are currently 89 cities from 19 countries in Europe, Latin America and Asia-Pacific who have officially joined this initiative, including the city of Porto.

Cybersecurity and Privacy

TBD

Impacts

  • Strategic contribute for urban planning
  • Decision support systems for civil protection
  • Improved public image
  • Platform to interact with citizens

Demonstration/Deployment

  • Phase I Pilot/Demonstration:

Deployment of application pilot in a real environment, testing the performance with a set of early adopters

  • Phase II Deployment:

Deployment of application in the city