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Combining Quantum Dot and Perovskite Photovoltaic Cells for Efficient Photon to Electricity Conversion in Energy Storage Devices

Renewable energy sources, such as wind and solar power, are increasingly important today to reduce emissions from fossil‐based energy sources. However, the electricity from wind and solar power varies over time and depends on weather conditions and the time of the day. Therefore, to include a large fraction of electricity from these energy sources in the electricity grid, large‐scale and low‐cost energy storage is needed. Herein, it is investigated how a combination of quantum dot based photovoltaic cells and perovskite‐based photovoltaic cells can be used to increase the energy conversion efficiency and increase the working range of energy storage devices based on conversion between heat, light, and electricity. The results show that these new types of photovoltaic materials have very promising properties for efficient utilization in energy storage devices, which have the potential for large‐scale and low‐cost energy storage.
- Uppsala University Sweden
batteries, energy storage, Energy Engineering, radiation, Energiteknik, thermal losses, Energy Systems, TES, Energisystem
batteries, energy storage, Energy Engineering, radiation, Energiteknik, thermal losses, Energy Systems, TES, Energisystem
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
