Summary
- Profile Type
- Technology request
- POD Reference
- TRIT20240731013
- Term of Validity
- 27 August 2024 - 27 August 2025
- Company's Country
- Italy
- Type of partnership
- Research and development cooperation agreement
- Targeted Countries
- All countries
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General information
- Short Summary
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An Italian company serves the oil & gas, water transmission, desalination, power generation fields with engineered pump solutions tailored on customers' requirements.
Our aim is to define AI-based tool to perform hydraulic design of hig-performances pumps.
The expected partner profile is a university or a company with proved experience in artificial intelligence or machine learning. - Full Description
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An Italian company, serving oil & gas, water transmission, desalination, power generation fields with engineered pump solutions tailored on customers' requirements, has developed a tool aims at supporting the hydraulic design of centrifugal pumps with extraordinary performances using Artificial Intelligence (AI) approach or advanced Machine Learning (ML) methods.
Target of the system is to provide a geometric setup of the pumps that achieve the extremely aggressive rated performances, in terms of efficiency or suction capability.
The software will be trained with the data of an internal database where all geometric information and the performance data of the best hydraulics of the company are collected.
The tool can be applied to all pump types managed by the companies. On the first phase the tool will be developed for a pilot pump type (i.e. single stage-volute pump), then the methodology will be extended to other pump families.
The core of the tool can be developed by following one or both of the following methods:
- to use Machine Learning approaches with advanced methodologies
- to use innovative Artificial Intelligence algorithms (i.e. processing images of flow field within the pump).
The code will be supported with several Computaional Fluid Dynamics (CFD) analyses of complete pumps that will be used for both the training and verification phase.
Our aim is to implement an innovative approach for the hydraulic selection and design, allowing to perform a significant optimization of the process in terms of efficiency and power consumption.
Universities or AI software suppliers are possible partners for the development of the tool. - Advantages and Innovations
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The expected advantages are:
- shortening the design activity of pump hydraulic;
- optimization of hydraulic selection to match the client's requirements;
- improvement of pump efficiency with lower power consumption and minor environment impacts. - Stage of Development
- Under development
- Sustainable Development Goals
- Goal 9: Industry, Innovation and InfrastructureGoal 13: Climate ActionGoal 12: Responsible Consumption and Production
- IPR description
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Our aim is to implement an innovative approach for the hydraulic selection and design, which allows to perform a significant optimization of the process in terms of efficienty ad power consumption.
The preferred partner shall have the following referenced skills:
1) Good experience with programming languages.
2) Proved experience in feeding and verifying Artificial Intelligence (AI) / Machine Learning (ML) softwares.
3) Analysing the available data on the pump hydraulic performances.
4) Designing the the mathematical models and developping the relevant Artificial Intelligence (AI) / Machine Learning (ML) solutions/softwares.
5) Testing the developped models and improving them on the basis of the tested data.
Partner Sought
- Expected Role of a Partner
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Possible partners for the development of this tool are universities or Artificial Intelligence (AI) software suppliers, with proved backgorund in Artificial Intelligence a/o Machine Learning.
The preferred partner shall have the following referenced skills:
1) Good experience with programming languages.
2) Proved experience in feeding and verifying Artificial Intelligence (AI) / Machine Learning (ML) softwares.
3) Analysing the available data on the pump hydraulic performances.
4) Designing the the mathematical models and developping the relevant Artificial Intelligence (AI) / Machine Learning (ML) solutions/softwares.
5) Testing the developped models and improving them on the basis of the tested data. - Type and Size of Partner
- R&D InstitutionUniversityBig companyOther
- Type of partnership
- Research and development cooperation agreement
Dissemination
- Technology keywords
- 04001005 - Transport and storage of gas and liquid fuels03002 - Process Plant Engineering04001006 - Transport and storage of hydrogen
- Market keywords
- 08005 - Other Industrial Products (not elsewhere classified)06001004 - Equipment and instrumentation06002004 - Hydro-electric06002003 - Power grid and distribution
- Sector Groups Involved
- Maritime Industries and ServicesRenewable EnergyEnergy-Intensive Industries
- Targeted countries
- All countries