  IP traffic has increased significantly in recent years, and it is expected
that this progress will continue. Recent studies report that the viewing of
online video content accounts for a share of 1% of the global greenhouse gas
emissions. To reduce the data traffic of video streaming, the new standard
Versatile Video Coding (VVC) has been finalized in 2020. In this paper, the
energy efficiency of two different VVC decoders is analyzed in detail.
Furthermore, we propose a design space exploration that uses an algorithm based
on a greedy strategy to derive coding tool profiles that optimize the energy
demand of the decoder. We show that the algorithm derives optimal coding tool
profiles for a subset of coding tools. Additionally, we propose profiles that
reduce the energy demand of VVC decoders and provide energy savings of more
than 50% for sequences with 4K resolution. Thereby, we will also show that the
proposed profiles can have a lower decoding energy demand than comparable
HEVC-encoded bit streams while also having a significantly lower bit rate.
