It is vital to reduce today's consumption of fossil fuels by using renewable energies like wind energy, solar or photovoltaic. However, majority of renewable energies are intermittent and not in phase with human electricity consumption cycle. It is therefore essential to develop energy storage systems to capture renewable energies when they are available and distribute them when needed.
Adiabatic compressed air energy storage (A-CAES) is a very promising technology. These systems are one of the few storage technologies capable of delivering several hours of high power.
The partner organisation, Sigma Energy Storage, develops energy storage by gas compression. This technology is based on the storage of electricity from intermittent energy sources, such as wind or solar power, and the recovery of unused electricity from diesel-based power sources located in remote communities not connected to the electrical power grid system. During the gas compression, carbon dioxide can be liquefied and extracted. The proposed project aims to convert CO2 into valuable fuels through electrochemical process.
The partner organisation, Sigma Energy Storage, develops energy storage by gas compression. This technology is based on the storage of electricity from intermittent energy sources, such as wind or solar power. During the gas compression, carbon dioxide can be liquefied and extracted. This project aims to convert carbon dioxide into a valuable fuel, which could be reused to fuel the machines, and thus having a low carbon footprint on the environment.
The proposed internship aims to study how the performance and the reliability of mechanical energy storage systems influence their life-cycle cost (LCC), including the acquisition cost, the maintenance, and the energy costs. First, the effect of the variation of the design parameters on the performance and acquisition cost of the product will be assessed. Second, the effect of materials and processes on the reliability and the LCC of product will be studied. Lastly, the energy cost associated with the operation of the product will be analyzed.
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