Quantum computing research applied to strategic industries of the Spanish economy, such as Energy, Finance, Space, Defense, and Logistics, is already underway. This is based on scientific and technological knowledge of quantum computing algorithms as a way to implement this technology in the industry in the medium term. In order to do so, a number of important cases regarding the Spanish economy will be previously studied, and it'll be determined if quantum computing would lead to improvements. These cases involve observation of the Earth, the fight against climate change, the environment, traceability of information throughout the entire supply chain, among others.
The ECLIPSE Project, which is promoted by the Spanish Center for the Development of Industrial Technology (CDTI), is aimed at the recycling of plastic. It will consist in researching new technological paths that facilitate the recycling and recovery of complex polymeric waste (plastics) and that entail significant progress compared to the current process (mechanical recycling), which currently has its limitations. Its purpose is to achieve a comprehensive, sustainable, and circular recycling and recovery system for complex plastic waste that's versatile, tested in the automotive industry, and transferable to all strategic industrial sectors.
The ZEPPELIN industrial research project will seek innovative, efficient, and circular technological solutions for the production and storage of green hydrogen. Its main purpose will be to discover alternatives to electrolysis that promote the circular economy through the recovery of waste and by-products from various sectors (agri-food, textile, WWTP, refineries, and more). New materials for storing green hydrogen and modeling tools for the new technologies will also be developed.
We have joined the European Economic Area-Grants projects, funded by the European Union to improve the environment and fight against climate change. Learn more about our projects, which are focused on creating advanced materials that save energy and are environmentally friendly. From biofuels made from waste to rubber for tires. See all the projects:
The REMO Project, promoted by the Spanish State Research Agency (AEI), seeks to develop pioneering technology for detecting seismicity at sea with a precision level far superior to the tools currently available to seismologists. This technology will help to better study seismic events such as earthquakes and tsunamis.
This project seeks the development of new specific bituminous mixtures to withstand high transverse and tangential stresses for their implementation in wearing courses and minimize the occurrence of winding and disintegration in the road surface. The specific objectives refer to the improvement of adhesion between pavement layers, the improvement of cohesion, ductility, and tenacity of the bituminous mixture to be developed, and the reduction of CO2 emissions and carbon footprint.
CirQlar will overcome some barriers in low-temperature heat recovery technology, such as the optimisation of the thermodynamic cycle, the reliability of the machines working in severe conditions, and its integration into an energy network. This is driven by the fact that heat pumps are the best low temperature heat recovery route in terms of decarbonization, due to the inherent electrification process and the amount of energy recovered.
CirQlar will reinforce the EU industry value chain of waste heat recovery and heat pumps, providing a cost-competitive technology to the market. It will deliver more sustainable processes with lower emissions, which will respond to today's environmental challenges, while also reducing consumption and dependence on natural gas throughout the EU.
OAS, operational advisor system, is a project that aims to use a strong artificial intelligence system for the control and stabilization of processes in oil and gas plants. This action shows a flexible Plant Operator solution in a real environment, based on new algorithms or mathematical models supported by strong Artificial Intelligence technology (Deep Learning and Reinforcement Learning) developed by Repsol, with the aim of optimizing the control and stabilization of industrial processes through the reduction of the duration of the transient time.
Find out more about the European Economic Area-Grants Projects
The goal of the HPC4E project is to apply new exascale HPC techniques—which are capable of a quintillion (billion billion) operations per second—to industrial energy simulations, thereby customizing them. HPC4E aims to move a step beyond the state of the art in HPC simulations required for different sources of energy:
The Repsol-ITMATI Joint Research Unit was created with the goal of developing mathematical and computational methods to solve complex simulation and optimization problems. It also intensifies the public-private partnership in R&D&I and introduces the latest developments in applied mathematics and operating research to the industrial world in general and the energy sector in particular.
Repsol has been granted with a financial aid for its Research and Development Project named DEVELOPMENT OF NEW ADVANCED POLYOL COMPOUNDS (POLCA). The Centre for the Development of Industrial Technology (CDTI) manages this financial aid that is co-funded by the European Regional Development Funds 2014 - 2020.