perf: use atlite streaming

[FabianHofmann]

Use atlite's faster matrix calculation and streaming backend for converison proposed in PyPSA/atlite#497. At this stage this is still experimental and serves as a reference for benefits of a new backend in conversion functions.

Performance gains for matrix calculation and renewable profiles:

22:10 min -> 4:20 min

I verified that the exact results are reproduced with this pr (max numerical discrepancies are < 0.001 rtol)

Other changes

• remove all logging from determine_availability_matrix and build_renewable_profiles to not spoil the terminal log (parallel execution makes them non-readable)
• use 1 core per atlite-based rule (config default)

Checklist

Required:

• Changes are tested locally and behave as expected.
• Code and workflow changes are documented.
• A release note entry is added to doc/release_notes.rst.

If applicable:

• Changes in configuration options are reflected in scripts/lib/validation.
• For new data sources or versions, these instructions have been followed.
• New rules are documented in the appropriate doc/*.rst files.