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Fővárosi Vízművek Zrt.
Funded by the European Union’s H2020-ICT-2016-1
GA – 73199
30 January 2019 – The SMART.MET consortium announced the start of the first phase of the project, awarding four European economic operators a contract for the ‘solution exploration and design’ stage of the pre-commercial procurement (PCP), which will last until the end of March 2019.
The companies are asked to conduct research to elaborate the solution design and determine the approach to be taken to develop the new solutions as well as demonstrate the technical, financial and commercial feasibility of the proposed concepts and approach.
Following the tendering process (see here), opened on 29 June, the consortium has selected four awardees, based on both a technical and an economic evaluation of their offers – you can read their abstracts here:
Funded under the Horizon 2020 research programme, the SMART.MET project aims to promote demand-driven research into the development of new innovative smart meter solutions that fully cater to the needs of water utilities, in terms of readability, battery lifetime, interoperability and cost.
The consortium is composed of seven water utilities from five different EU countries which came together in the SMART.MET project with the objective to launch a pre-commercial procurement (PCP) to guide the development of new technologies based on open technological platforms for the remote reading of water meters.
Pre-Commercial Procurement (PCP) provides the support for research and development services to be directed to specific needs. It is a unique instrument to foster competition for the development of a high quality product whilst providing an adapted answer to common needs and opening new markets for companies.
Carried out under Italian law between 2018 and 2021, the PCP will include a total of three phases: solution exploration and design, prototyping and field-testing.
Driving the development of new solutions for smart water metering data collection and management.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731996.