In this topic we aim to encourage a constructive dialogue on the strategies, technologies and policies that are shaping the future of the energy transition. Discussions and presentations during the conference will contribute to a better understanding of the challenges and opportunities linked to green hydrogen and renewable energies, thereby encouraging concrete action towards environmental and social sustainability.

• Exploring new technologies for renewable energy production:
  • Identify and analyse innovations in green hydrogen production, including electrolytic methods and biological production processes.
  • Discuss emerging technologies, such as advanced energy storage systems (batteries, hydrogen, etc.) and their role in managing the intermittency of renewable energies.
  • Assess the potential of renewable energies (wind, solar, geothermal, etc.) in the transition to a sustainable energy system.
• Decarbonisation strategies for key sectors:
  • Analyse decarbonisation strategies in critical sectors such as industry, transport and buildings, identifying best practice and lessons learned.
  • Discuss public policies and economic incentives that promote carbon reduction, as well as innovative financing mechanisms for the energy transition.
  • Examine carbon capture and storage (CCS) approaches and their integration into existing value chains.
• Promoting the integration of renewable energies into existing energy systems:
  • Studying the challenges involved in integrating renewable energies into electricity grids, including demand management and infrastructure development.
  • Explore intelligent energy management models and smart grid technologies that facilitate the integration of renewable resources.
  • Assessing the environmental and socio-economic impacts of integrating renewable energies on local communities.
• Encouraging international cooperation and interdisciplinary research:
  • Encourage exchanges between researchers, political decision-makers, industrialists and civil society players to share knowledge and experience on the energy transition.
  • Promote collaborative research projects aimed at developing sustainable solutions and effectively assessing the impact of energy policies.
  • Identify funding opportunities to support innovative projects in the field of renewable energies and decarbonisation on a global scale.

We aim to explore the many dimensions of artificial intelligence in the energy and petroleum sector, highlighting its practical applications, its benefits for operational efficiency and safety, and its potential to transform traditional ways of working. The conference aims to bring together experts to share experiences and foster continuous innovation in this field.

• Industrial Process Optimisation:
  • Present case studies on the application of AI to improve operational efficiency in the energy and oil industry. This includes predictive maintenance techniques to minimise equipment downtime.
  • Exploring how machine learning algorithms can be used to optimise energy consumption and improve resource recovery processes in oil installations.
  • Analyse the use of AI for managing production flows, including optimising the energy distribution network and controlling refining processes.
• Data analysis and advanced decision-making:
  • Discuss AI-based data analysis tools that enable the processing of large amounts of data generated in the oil and gas industry, facilitating rapid and informed decision-making.
  • Assess the impact of AI systems on the efficiency of drilling and extraction operations through predictive models using geophysical and geological data.
  • Examine real-time analysis systems that combine AI and fluid mechanics to predict the behaviour of fluids in pipelines and thus avoid clogging or leakage problems.
• Improving safety and sustainability :
  • Explore how AI can contribute to the safety of industrial operations by detecting abnormal situations early, based on the analysis of data from sensors and monitoring systems.
  • Discuss AI tools for assessing the environmental risks associated with oil and energy operations, by analysing data on greenhouse gas emissions and other pollutants.
  • Analyse use cases for AI models to simulate accident scenarios in order to create more effective response protocols and minimise environmental impacts.
• Innovation in fluid mechanics and heat transfer:
  • Highlight advances in fluid dynamics modelling using AI techniques to simulate complex flows in oil and heat transfer applications.
  • Study the use of AI to optimise the design of thermal equipment, such as heat exchangers, by integrating data on fluid behaviour and operational conditions.
  • Encourage research into neural networks and other AI approaches for predicting thermal performance in specific industrial environments, particularly under extreme conditions.
• Training and skills development :
  • Promote educational initiatives to train energy and oil industry professionals on the use of AI and data analytics tools to prepare the workforce for future challenges.
  • Create exchange platforms between researchers, academics and industry to share skills and knowledge on AI in the industrial context.
  • Encourage cross-sector collaborations to develop certification and training programmes on AI applied to the specific challenges of the energy and fluid mechanics sectors.

The 'Materials Engineering' topic seeks to explore the innovations and applications of materials in various sectors, with an emphasis on sustainability durability, improved performance and the development of advanced technological solutions. This area will be crucial in addressing contemporary challenges in the field of energy and materials, and to promote more sustainable industrial practices.

• Development of new advanced materials:
  • Explore new generation materials, such as composites, light alloys, and nanostructured materials, that improve mechanical and thermal performance for industrial applications.
  • Studying the use of environmentally-friendly materials, including biomaterials and biodegradable plastics, to reduce environmental impact and promote a circular economy.
  • Analyse the properties and applications of phase change materials (PCMs) in thermal management and energy storage.
• Characterisation and modelling of materials:
  • Present advanced materials characterisation techniques, such as electron microscopy, X-ray diffraction, and thermal analyses to better understand the physical and chemical properties of materials.
  • Discuss the use of numerical simulation and modelling of materials to predict their behaviour as a function of environmental conditions, mechanical stresses and thermal factors.
  • Evaluate computational methods of materials mechanics, including finite element analysis for component design and optimisation.
• Improving material performance:
  • Examine materials processing techniques, such as heat treatment, forming, and coatings, to improve their resistance to corrosion, wear or temperature.
  • Study the influence of additives and spheres on the properties of materials, particularly for protection and energy efficiency applications.
  • Analyse structure-property relationships in the context of composite materials to optimise specific performance according to design criteria.
• Applications in the energy and oil industries:
  • Developing materials resistant to extreme environments, such as thermally insulating materials and anti-corrosion coatings for pipelines and drilling equipment.
  • Exploring the application of photovoltaic and thermal materials in renewable energy systems, with a focus on sustainability and energy efficiency.
  • Studying the impact of new materials on enhanced resource recovery (EOR) and their role in optimising oil extraction processes.
• Innovation in recycling and sustainability:
  • Promote innovation in materials recycling, developing methods to recover and reuse materials in a sustainable and circular approach.
  • Analyse advanced technologies for recycling and reusing industrial waste to reduce environmental impact and improve resource efficiency.
  • Encouraging research into recycled materials and their performance compared with virgin materials, with the aim of developing viable alternatives for industry.
• Technology transfer and collaboration:
  • Encourage exchanges between researchers and industry for technology transfer in the field of materials, improving the transition from laboratory innovations to large-scale production.
  • Encourage cross-disciplinary collaboration to develop innovative solutions by pooling expertise in materials engineering, materials science and engineering.
  • Set up continuous training programmes on innovations in materials engineering for professionals in the sector, ensuring the development of skills adapted to technological developments.

In the 'Fluid Dynamics and Nanofluids' topic we focuse on advanced understanding of fluid behaviour and the impact of nanofluids in various industrial applications. We aim to promote innovation in the field of fluid mechanics, by exploring the properties of nanofluids and developing sustainable and effective solutions to contemporary challenges.

• Fundamental study of fluid dynamics:
  • Analyse the basic principles of fluid mechanics, including the Navier-Stokes equations, turbulence, and laminar flow conditions.
  • Study flow behaviour in complex systems, such as multiphase flows and non-Newtonian flows, using mathematical models and numerical simulations.
  • Explore interface phenomena in flows, such as waves, shock waves and flow separation, and their impact on system performance.
• Characterisation and behaviour of nanofluids:
  • Define the properties of nanofluids, focusing on their thermal conductivity, viscosity, and heat transfer efficiency compared to conventional fluids.
  • Study the effects of nanoparticles on fluid properties, including interactions between nanoparticles and the fluid, and the consequences of nanoparticle size, shape and concentration on performance.
  • Develop experimental methods for the manufacture and characterisation of nanofluids, examining different categories of nanoparticles (metals, oxides, carbonates, etc.) and their specific applications.
• Industrial applications of nanofluids:
  • Exploring the applications of nanofluids in cooling and heating systems, in particular to improve the efficiency of heat exchangers and air conditioning systems.
  • Analyse their use in the oil sector, for example in drilling and enhanced oil recovery, where nanofluids can reduce heat loss and improve viscosity.
  • Studying the impact of nanofluids in gas and steam turbines to optimise energy performance and reduce emissions.
• Optimising processes with nanofluids:
  • Developing numerical simulation models to optimise systems using nanofluids, integrating advanced calculation techniques to model flows and heat transfer.
  • Assess the impact of operating conditions (temperature, pressure, flow speed) on the performance of nanofluids in various industrial systems.
  • Investigating approaches to controlling the behaviour of nanofluids in complex systems, such as using electric or magnetic fields to influence their flow.
• Challenges and sustainability of nanofluids:
  • Examine the challenges associated with the use of nanofluids, including production cost, long-term stability, and environmental and occupational health concerns.
  • Promote research aimed at minimising the environmental impact of the production and use of nanofluids, by developing recycling methods and environmentally friendly alternatives.
  • Assessing the long-term effects of nanoparticles on ecosystems and human health, ensuring that standards and regulations are established for their use.
• Technology transfer and interdisciplinary collaboration:
  • Encourage collaboration between researchers, engineers and industrialists for the transfer of technology concerning nanofluids and their application in real systems.
  • Encourage interdisciplinary research projects combining fluid mechanics, materials and chemical engineering to develop new innovative solutions based on nanofluids.
  • To set up training programmes for professionals on the properties and applications of nanofluids in order to strengthen skills in the sector.

The 'Modelling and simulation of complex systems' topics aims to develop advanced methods for representing and understanding systems with multiple interactions, while seeking to optimise their operation in different contexts. This area will be essential for tackling contemporary challenges using innovative, data-driven approaches.

• Development of numerical models for complex systems:
  • Create mathematical models that accurately represent the behaviour of complex systems, taking into account multiple and often non-linear variables.
  • Integrate different types of model (statistical, deterministic, probabilistic) to represent the complete chain of operation of the target systems, whether physical, chemical or biological.
  • Study the effects of parameters and uncertainties on the behaviour of complex systems, in particular through sensitivity and uncertainty analyses.
• Advanced simulation of physical phenomena:
  • Use numerical simulation tools (CFD, FEM, etc.) to describe the physical phenomena involved in complex systems, including fluid mechanics, heat, diffusion and chemical reactions.
  • Develop multi-scale approaches to link the microscopic behaviour of materials and fluids to the macroscopic phenomena that can be observed in complex systems.
  • Integrating multi-physics simulations to model systems where several types of phenomena interact and influence overall performance.
• Process optimisation using simulation:
  • Use simulation-based optimisation techniques to improve system performance, reduce costs, or minimise environmental impacts.
  • Explore global and local optimisation methods, including trial-and-error optimisation, gradient optimisation and genetic algorithms to find the best configurations for complex systems.
  • Apply machine learning methods to improve decision-making in system optimisation, by exploiting the large volumes of data generated by simulations.
• Applications in the fields of energy and the environment:
  • Modifying simulation models for specific applications such as energy efficiency in buildings, smart electricity grids and water resource management.
  • Study the dynamics of ecosystems using simulation models that integrate the interactions between biological and physical systems.
  • Analysing the impact of climate change on complex systems using predictive simulations and prospective scenarios.
• Human-machine interface and intelligent systems:
  • Developing interactive simulations for evaluating human-machine interfaces in complex systems, in order to optimise user interaction.
  • Study intelligent systems based on simulations to improve operational efficiency in industries such as automotive, aerospace and healthcare.
  • Integrating user feedback into simulation models to ensure that systems are designed ergonomically and adapted to human needs.
• Technology transfer and skills enhancement:
  • Promote technology transfer between research and industrial applications by developing modelling and simulation tools that meet specific needs in the sector.
  • Establish interdisciplinary collaborations with companies to test and validate simulation models in real-life contexts.
  • Offer continuing education programmes for professionals to improve their modelling and simulation skills, incorporating the latest technological advances.