Project description
Enhancing resilience in natural gas networks
Natural gas production and transmission (NGPT) networks are vulnerable to (partial) failures, leading to supply disruptions and methane emissions. These networks require enhanced resilience. Supported by the Marie Skłodowska-Curie Actions (MSCA) programme, the ResilientGas project aims to develop a new framework using Markov Decision Process (MDP) and Deep Reinforcement Learning (DRL) to optimise the resilience of integrated NGPT network systems. The project focuses on strengthening European NGPT networks and aims to benefit gas producers and transmission operators. This research will be conducted at Politecnico di Milano in Italy, with additional industrial expertise from ARAMIS SRL.
Objective
Natural Gas Production and Transmission (NGPT) network systems are vulnerable to (partial) failures, leading to natural gas supply disruptions and methane emissions, thus, calling for enhanced resilience. This project proposes to develop a novel framework for modelling and optimising the resilience of integrated NGPT network systems by employing Markov Decision Process (MDP) frameworks that identify optimal policies for system operation and maintenance. This novel approach allows for incorporating the dynamics of the system, including network topology and functionality changes upon operation and maintenance interventions; thus significantly improves on present-day practices. The MDP model is solved by Deep Reinforcement Learning (DRL) algorithms integrating a novel network capacity model developed using Graph Neural Networks (GNN). For illustration, I consider a European NGPT network comprising of offshore production platforms, subsea pipelines and onshore pipelines exporting the Norwegian gas to Europe. The project outcomes can be beneficial to gas producers and gas transmission operators whose optimal decisions contribute to more resilient natural gas supply for the benefit of Society. The success of ResilientGas hinges on advanced training on network resilience modelling, and on computational intelligence methods such as DRL and GNNs. I will thus need to compliment my own skills with a scientific tradition that is best studied with the team at Politecnico di Milano in Italy, where I will be under the direct supervision of Prof. Enrico Zio, whose research team is internationally recognised to lead the development of advanced tools and techniques for reliability, risk and resilience. A six-month placement in ARAMIS SRL (www.aramis3d.com) a cutting-edge R&D company, is foreseen to complement the research training with industrial practice and first-hand experience in deploying project outcomes, enabling me to position myself as a top researcher in this field.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences mathematics pure mathematics topology
- natural sciences chemical sciences organic chemistry aliphatic compounds
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2023-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
20133 Milano
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.