Go to:
Logótipo
You are here: Start > Project/Service Agreement:Water4All/0003/2022

Project/Service Agreement:Water4All/0003/2022

Start Approved In Progress Completed Closed

Status
Projeto Em CursoIn Progress
Publication
PublicadoPublished
General Data
Code: 82003
 
Reference: Water4All/0003/2022
Short name: SWMOF
Title: A smart process for water harvesting from air and water distribution based on eco-friendly MOFs
Competitive Funding: Yes
Does it involve businesses?: No
No. of Participating Institutions: 6
Scope
Type: Funded Project
 
Geographical Scope: International
 
Type of Action: R&TD
Funding
Programme: Water4All - Water4All Partnership (co-funded by Horizon Europe)
Funding Institution: FCT - Fundação para a Ciência e a Tecnologia
Financial Geographical Scope: National
Date of the Funding Agreement: 2024-03-27
Scheduling
Effective Start Date: 2024-04-01
Expected Completion Date: 2027-03-31
Effective Completion Date: 2027-03-31
Budget
Currency: EUR
 
Total Approved Budget: 983.782,59 EUR
Details
Summary: The climate change prospects for the Mediterranean region point towards a general rise in temperature with more and longer periods of higher temperatures. Furthermore, changesin precipitation and distribution of water are expected. Indeed, the Mediterranean is one of the most vulnerable regions to climate change and is predicted to become even warmerand drier than it already is. Forecasts indicate a Mediterranean temperature will increase between 2 to 4 ºC and a decrease in rainfall between 4% to 30% by 2050. In theMediterranean region, more than 70% of water resources are used for agriculture. The Mediterranean area is composed mainly of scattered small villages, where the conditions ofwater availability and distribution are poorly efficient. Water distribution systems in small villages typically have higher rates of water losses (around 5% or 10% higher) than in bigcities. The main reason is that the lower concentration of population makes water loss interventions less efficient. Hence, it is urgent to take action to preserve the water availabilityand optimize the water distribution in those regions. At a planning level, reducing water losses will contribute to reducing or stabilizing future water withdrawals and thereforeguarantee water supply partially. For this means, recent technological breakthroughs such as the Internet of Things (IoT) and Artificial Intelligence (AI) can allow achieving higherstandards of efficiency in water distribution systems. Thus, one of our objectives is to apply cutting-edge developments in control systems, real-time optimization, and AI to thewater distribution system to operate it close to the optimal while integrating efficient water harvesting technology, as here proposed, into the distribution system. One pillar of thiswork is the development of a smart water distribution system to optimize the water distribution and do real-time prediction of the water demand by the local requirements; also, thissystem should be able to reco Ver mais. Adequado para parcelas de texto incompletas e que, através deste ícone, permite-se que o utilizador leia o texto todo.
Scientific Context
Scientific Domain (FOS - Level 2): Engineering and technology

Academic fields (CORDIS - Level 5)

Mais informações There are no Academic Fields associated with the Project.

Keywords

Mais informações There are no Keywords associated with the Project.
Documents
Mais informações There are no Documents associated with the Project.

Publications associated with the Project

Institutions Participating in the Project
Institution Contact Create Tab?
Name Short name Country Type Participation Name Telephone Email
Faculdade de Engenharia da Universidade do Porto FEUP Portugal University Proponent
Christian-Albrechts-Universitaet Zu Kiel Alemanha University Partner
Eindhoven University of Technology TUE Países Baixos University Partner
Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa FCT-UNL Portugal University Partner
Norges Teknisk-Naturvitenskapelige Universitet NTNU Noruega University Partner
Universidade Federal da Bahia UFB Brasil University Partner
 
Budgets and Teams
Approved Budget: 108.436,00 EUR
Approved Funded Amount: 108.436,00 EUR
Approved co-funded Amount: -
Funding Rate: 100 %
Confidential Budget:

People in the Project

Institution Name Short name Role Dedication (%) Contribution (%) Allocation
Start date End date
FEUP Alexandre Filipe Porfírio Ferreira AFPF Official Researcher 5 35 2024-04-01 2027-03-31
FEUP Ana Mafalda Almeida Peixoto Ribeiro AMR Researcher 5 32,5 2024-04-01 2027-03-31
FEUP Cláudia Sofia Castro Gomes da Silva CGS Researcher 5 32,5 2024-04-01 2027-03-31
FEUP Guilherme da Costa Amaral GCA Grant recipient 100 2024-11-14 2026-05-13
FEUP José Miguel Loureiro JML Researcher 5 2024-04-01 2025-01-14
FEUP Maria João Barbosa Regufe MJBR Researcher 5 2024-04-01 2025-02-22
FEUP Rui Daniel Gonçalves Matias RDGM Grant recipient 100 2024-11-14 2026-05-13

Technicians in the Project

Technician Contact
FEUP 244787 Sandra Regina Neves Costa 220414610
Laboratories
Mais informações There are no Laboratories associated with the Project.
Recommend this page Top
Copyright 1996-2026 © Faculdade de Engenharia da Universidade do Porto  I Terms and Conditions  I Accessibility  I Index A-Z  I Guest Book
Page generated on: 2026-03-02 at 23:43:59 | Acceptable Use Policy | Data Protection Policy | Complaint Portal