City Catalyst- Catalyst for sustainable cities
The project aims to investigate, develop and validate, in a real context, a set of technological solutions and innovative services that enhance an integrated, more efficient and effective urban management, and catalyst for innovation and sustainable development through specific contributions to implementation and interoperability urban platforms.
The consortium responsible for implementing the activities comprises 11 companies, namely: EFACEC ENERGIA – MÁQUINAS E EQUIPAMENTOS ELÉCTRICOS S.A, EFACEC ENGENHARIA E SISTEMAS, S.A., EFACEC ELECTRIC MOBILITY, S.A., ALTICE LABS, S.A., PROEF EURICO FERREIRA PORTUGAL, S.A., INOVA+ – INNOVATION SERVICES, S.A., UBIWHERE LDA, HLTSYS – HEALTHYSYSTEMS, LDA , ADYTA, L.da, JSCRAMBLER, S.A., NOS COMUNICAÇÕES, S.A., e por 11 entidades não empresariais, designadamente: ASSOCIAÇÃO PORTO DIGITAL, ASSOCIAÇÃO PORTO BUSINESS SCHOOL (PBS) – U.PORTO, CEIIA – CENTRO DE ENGENHARIA E DESENVOLVIMENTO (ASSOCIAÇÃO), ASSOCIAÇÃO FRAUNHOFER PORTUGAL RESEARCH, UNIVERSIDADE NOVA DE LISBOA, ASSOCIAÇÃO C.C.G. / ZGDV – CENTRO DE COMPUTAÇÃO GRÁFICA, INSTITUTO DE TELECOMUNICAÇÕES, UNIVERSIDADE DO PORTO – C3P, INESC TEC – INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIÊNCIA, ASSOCIAÇÃO PARA O PÓLO DAS TECNOLOGIAS DE INFORMAÇÃO, COMUNICAÇÃO E ELECTRÓNICA – TICE.PT, UNIVERSIDADE DO PORTO – FEUP.
The C-Tech project aims to investigate, develop and validate at a pilot scale a digital platform of smart cities for urban modeling and planning, based on a three-dimensional representation of the city and its combination with several data from different sources (such as climate, energy and water consumption, mobility and above all, user behavior determined by the use of mobile phones), will allow to simulate different scenarios of energy efficiency of buildings, creation of green structures and energy efficiency of urban mobility, empowering local authorities to identify and effectively address specific environmental issues in order to reduce their carbon footprint.
The accomplishment of these objectives is based on the execution of a work plan structured in 9 complementary activities, covering all stages of the product development cycle. The adopted research methodology relates industrial research to experimental development, ensuring continuous validation and integration of feedback.
In line with its complexity and disruption degree, the project is developed by a consortium composed of 5 complementary business and scientific entities, hence covering all critical phases of the value chain. MIT will participate directly in the project, providing the consortium with the specialized knowledge and consolidated experience of two main researchers from two research centers: the MIT Sustainable Design Lab and MIT Trancik Lab.
The Bee2WasteCrypto project aims to develop a differentiating and intuitive IT tool, which, based on high resolution data on waste production, allows Regional Waste Management Entities (RWMUs) to design and manage optimal decentralized solutions for each region, and even promoting more sustainable waste production and sorting behavior.
The project has the following specific objectives:
- Provide RWMUs with the ability to design the best set of technologies to be used in the context of their operation, namely in terms of the quality and quantity of waste generated and the materials to be produced from waste processing, according to environmental and economic criteria;
- Develop an IT system to facilitate Pay-As-You-Throw (PAYT) systems, together with the use of blockchain technologies to produce reliable information that allows for the establishment of “recycling fee credits”, similarly to carbon credits in the energy sector, based on the performance of each RWMU regarding national recycling rate targets;
- A Token, eventually based on a “cryptocurrency”, designed to use Blockchain technologies that pay for sustainable individual behavior when returning waste for recycling or reuse, as well as to promote PAYT solutions.
The project is based on Data Science, with the objective of determining the best combination of technologies that maximize the recovery of waste, through local strategies, but with a global scope.
The Connect Europe Facility (CEF) in Telecom is a key instrument of the EU to facilitate cross-border interaction between public administrations, businesses and citizens, through the deployment of digital service infrastructures (DSIs) and broadband networks.
Projects supported by CEF will contribute to the creation of a European ecosystem of interoperable and interconnected digital services that underpin the Digital Single Market.
The main objective of the UCD Lab project is to support decision making within the municipality, in order to provide citizens with high quality services in the areas of security, emergency, operational management and planning.
The Action will implement this support in Lisbon and in two other cities to be defined at the beginning of the Action.
By building analytical capacities and specifically analytical services capable of supporting management, the municipality will be able to better respond to the following challenges:
- Mobility: supporting new planning and management approaches with new tools to assess impact and predict behavior;
- Waste management: identifying patterns to support the prediction of urban waste production associated with a variety of contextual information (eg: events, climate situation, etc.);
- Parking: creating new models to predict or generate viable alternatives to illegal parking in the city;
- Pollution: developing predictive models for the propagation of liquid and atmospheric pollutants;
- Crowd management: building impact forecasting models based on the flow of mobility/people at major events.
The Municípios + Inteligentes initiative consists of a study of good practices and conditions for building an information management platform (IMP) necessary for the generation of intelligence in the management of the national territory, and subsequently, in order to demonstrate in practical terms the conclusions of the study, a prototype of IMP for demonstration to be developed, supported by analytical models, which enables the integration and treatment of data and fundamental information for the implementation of smart municipal management strategies.
This prototype aims to demonstrate the advantages of their development through the integration of some of the best practices studied, through a demonstration phase for the temporary implementation in 3 municipalities located in regions of convergence in order to test it.