RESEARCH & DEVELOPMENT
SCUBIC remains committed to developing innovative solutions to address the constantly evolving challenges in our dynamic world
I-RETIS-WATER
Towards integrated real-time smart water networks operations.
The main goal of this project is the development and implementation of a computational solution capable of automatically, efficiently and effectively managing any WDS.
THE PROPOSED METHODOLOGY INTENDS TO
(i) find the daily optimal operation of the WDS (transforming it into a smart system), while
(ii) taking into account the energy provided from RES, dynamic energy price from the electricity supplier and inputs from the electricity market regulation reserve (EMRR), thus minimising the WDS operating costs.
WORKPACKAGES
IMPACT AND ORIGINALITY
Lista de serviços
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Item de lista 1
Development of a low-cost sensor with mesh communication technology whose real-time acquired information will result in open access big data, information currently non-existent in Portugal.
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Item de lista 2Item de lista 2
Innovative characterization of WDS behavior using AI techniques, enabling precise modeling of the WDS.
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Item de lista 3Item de lista 3
Real-time efficiency correction using an adaptive pump operation controller;
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Item de lista 4
Item de lista 4Utilizing local renewable energy production forecast (solar and wind) to meet the energy needs of the WDS and its efficient operation.
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New List Item
Development of a comprehensive and real-time automatic model to determine the most efficient operation of the WDS, intelligently and bidirectionally integrating different types of DSM such as DP, RES, and EMRR.
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New List Item
Implementation of an intelligent operation system in a real WDS.
Increasing energy efficiency and management in Portuguese water companies, reducing costs by up to 15%.
DEVELOPMENT AND IMPLEMENTATION
Lista de serviços
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Item de lista 1
Real-time monitoringand pressure-flow managementof a WDS using advanced mesh network sensors and integrating a big data framework.
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Item de lista 2Item de lista 2
Robust methodologies for water demand forecasting and hydraulic modelling and simulation using deep learning (DL) and adaptive control techniques, while optimizingthe energy-costefficiency of the overall WDS. The use of artificial intelligence (AI) techniques in the reproduction of the hydraulic behaviour of a WDS is not constrained to pre-established mathematical model nor require cumbersome calibration procedures
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Item de lista 3Item de lista 3
Redundant statistical and DL algorithms for real-time anomalies, water leakages detection and system awareness. Indeed, the use of AI techniques, real-time pressure information and historical data can result in effective predictive algorithms.
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Item de lista 4
Item de lista 4Utilizing local renewable energy production forecast (solar and wind) to meet the energy needs of the WDS and its efficient operation.
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New List Item
Implementation of an intelligent operation system in a real WDS.
Increasing energy efficiency and management in Portuguese water companies, reducing costs by up to 15%.
TEAM SCUBIC
Bruno Abreu
Investigator
Miguel Oliveira
Investigator
Mariana Alão
Investigator
Carlos Oliveira
Investigator
TEAM I-RETIS-WATER
A. Andrade-Campos
Principal Investigator
Ana Reis
Investigator
Marlene Brás
Investigator
Ana Sousa
Investigator
Tiago Pereira
Investigator
Sara Mota
Investigator
Flávio Silva
Investigator
Iago Freitas
Investigator
Guilherme Borges
Investigator
Júlio Monteiro
Investigator
João Lima
Investigator
Jorge Júnior
Investigator
RESULTS
Parque da Ciencia e Inovação, Edificio Principal
3830-352
Ilhavo, Portugal
Rua Fernando Amaro, nº 60
Fábrika, Alto da XV - Curitiba/Pr.
80045-090
Curitiba, Brazil
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