Faced as we are with the global environmental deterioration, policies to reduce carbon dioxide emission and to promote cleaner, less polluting technologies must be advocated. Rapid deployment of renewable energy plans will result in significant carbon dioxide reduction, climate change mitigation, and economic benefits. Renewable energy is harvested from natural processes that are replenished constantly but that have an intermittent quality. Therefore, both the abilities to harvest as well as to store energy are strategic to the hoped-for green revolution.
Present realities, however, are not yet at such a technological level to meet the requirements of ambitious actions to tackle climate change, as for powering electric vehicles to displace fossil fuel transport systems. Whereas experimental studies are the backbones of materials and devices investigation, modeling can provide fundamental contributions, particularly in tailoring harvesting processes and energy storage materials, in order to improve performances and predict aging and degradation.
This mini-symposium welcomes formulations and concepts that meet current challenges in the vibrant area of computational mechanics for energy harvesting and storage, including but not limited to theoretical models, multi-physics and multi-scale approaches, high performance computing.