Development of a low-cost pressure sensor with mesh communication technology, where the real-time data generated will be available as an open access (bigdata) data-base, which is inexistent in Portuguese Water Distribution Systems
Innovative modeling of WDS behaviour using state-of-the-art AI-based techniques, allowing to precisely characterized the behavior of Water Distribution System
Development of a real-time efficiency corrector using an innovative adaptive pump operation controller; Development of a real time adaptive pump controller to achieve maximum efficiency
Use local and self-energy production (solar & wind) forecasting to meet Water Distribution Systems energy needs and its efficient operation
Development of a comprehensive and automatic real-time tool that intelligently integrates (bi-directionally) the different types of Demand-Side-Management as Dynamic energy Prices, Renewable Energy Sources and electricity market regulation reserve inputs to determine the most efficient Water Distribution System operation
Implementation of an efficient smart operation system in a real Water Distribution System case-study
Increase the energy-efficiency and management-effectiveness of the Portuguese water companies, reducing costs up to 15%
Dedicated to the development of sensors with mesh technology for communication between the various sensors of the water distribution network, namely flow meters and pressure sensors. Subsequently, the sensors will be installed at various points in the water supply network and after their integration with SCADA systems, they will allow real-time monitoring and control of the network’s operational parameters, namely pressure and flow.
Develop and implement a computational methodology capable of automatically and efficiently managing a WDS, i.e., finding the optimal operation of any WDS, transforming it into a smart system. The methodology is based on DL and adaptive control techniques, solving the previously described drawbacks of the classical approaches.
Develop a computational tool that will be used as a supportive and predictive system for WDS maintenance, including the maintenance of equipment and basic infrastructure (such as pipes, valves, junctions, etc.). This task aggregates all the knowledge developed in the previous activities and through the data collected by the sensors (according to activity 1) and the forecast of water consumption (according to the activity 2) to develop a predictive and water loss detection system. The importance of this task is related to failures in equipment, that can result in the interruption of the WDS operation, and in leakages, which can result inlarge costs and environmental adversities. Therefore, the main expected results of this task are the reduction of maintenance costs, the improvement of water losses control and the increase of system robustness.
Develop and implement models and algorithms to be used in the WDS daily operation to minimize costs by optimizing the integrated management of energy resources, including local renewable generation and dynamic pricing tariffs, envisaging the participation in markets as the Electricity Market Regulation Reserve, while ensuring the water supply quality of service requirements. A thorough characterization of all physical elements of the WDS will be made (e.g. storage tanks, pumping stations, sensor network, physical and operational constraints), as well as quality of service indicators and demand forecasting. This will lay the foundation to design the viable DR actions, i.e. reshaping electricity consumption patterns, which will be then considered in the overall framework aimed at optimizing the integrated management of energy resources. Optimization models will be developed encompassing the network infrastructure of water and energy components of the study, exploiting their synergies at the physical and business levels. Subsequently, circular information will be developed and distributed to consumers, reinforcing the quality of the service provided and alerting to sustainable water consumption.
Activities 5 and 6 are transversal to the entire project and concern the promotion and dissemination of results obtained and technical management, respectively.
Activities 5 and 6 are transversal to the entire project and concern the promotion and dissemination of results obtained and technical management, respectively.
– Reis, Ana L., Andrade-Campos, A., Antunes, Carlos Henggeler, Lopes, Marta A. R. Lopes. ” A Mixed-Integer Nonlinear Programming Model for Integrated Management of Resources in Water Supply Systems”. Paper presented in ECCOMAS – Young Investigators Conference YIC2023, Porto, 2023.
– Reis, Ana L., Andrade-Campos, A., Antunes, Carlos Henggeler, Lopes, Marta A. R. Lopes. ” An optimization framework to assess the demand-side management capacity of a Water Supply System”. Paper presented in Efficient 2023 – IWA Conference on Efficient Urban Water Management, Bordeaus, France.
– Sousa, Ana Luís; Andrade-Campos, António. “On the Computational Efficiency of Optimisation Techniques on the Water Supply Systems Operation”. Paper presented in ECCOMAS – Young Investigators Conference YIC2023, Porto, 2023.
– Sousa, Ana Luís; Andrade-Campos, António. “Smart Water Supply Systems Operation with Optimization Strategies and Analytical Sensitivity Approach”. Paper presented in TEchMA2023 – 6th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions, Aveiro, 2023.
– Marlene Brás, Ana Moura, A. Andrade-Campos. Proceedings of the 6th European Conference on Industrial Engineering and Operations Management 2023.
“Cost Reduction of Water Supply Systems Through Optimization Methodologies: A Comparative Study of Optimization Approaches”.
– Marlene Brás, Ana Moura, A. Andrade-Campos. EFFICIENT 2023 – WATER AND CITY. 11th IWA International Conference on Efficient Urban Water Use. “Cost Reduction of Water Supply Systems Through Optimization Methodologies”.
– Marlene Brás, Ana Moura, A. Andrade-Campos. VII ECCOMAS Young Investigators Conference (YIC 2023). “Cost Reduction of Water Supply Systems Through Optimization Methodologies: A Comparative Study of Pump Scheduling Problem Formulations”.
– Tiago Pereira, A. Andrade-Campos. Efficient 2023 IWA conference on Efficient Urban Water management. “Smart Predictive Digital Twin for Water Supply Systems
with uncertainties control”.
Master in Mechanical Engineering, Departamento de Engenharia Mecânica, Universidade de Aveiro, Portugal, A. Andrade-Campos (supervisor). Concluded. Available at http://hdl.handle.net/10773/34930
Ph.D. program in Mechanical Engineering, Departamento de Engenharia Mecânica, Universidade de Aveiro, Portugal. A. Gil Andrade-Campos (orientador), Ramón Vilanova Arbos (co-orientador), Bruno Abreu (co-supervisor). In progress.
Ph.D. Program in Industrial Engineering and Management, Departamento de Engenharia Mecânica, Universidade de Aveiro, Portugal, Ana Moura (orientadora) e A. Andrade-Campos (co-orientador). In progress.
Ph.D. Program on Sustainable Energy Systems (SES|EfS), INESC Coimbra, Department of Electrical and Computer Engineering, University of Coimbra, Portugal, Carlos Henggeler Antunes, António Andrade-Campos e Marta Lopes (supervisores). In progress.
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