在我的硕士论文中，我想进一步开发波罗的海地区的PyPSA-Eur能源系统模型。在我开始开发之前，我必须成功地运行模型。我正在运行PyPSA-通过从Github克隆代码并使用Visual Studio Code在Ubuntu WSL环境中运行代码来解决我之前遇到的权限错误。我没有对现有的代码，我根据environment.yaml文件更新了所有的包。Github上的PyPSA-Eur仓库：
https://github.com/PyPSA/pypsa-eur
我经常遇到的错误是在运行Snakemake --cores all in the terminal时，在规则build_renewable_profiles中出现错误。错误消息表明，在Snakemake管道中运行build_renewable_profiles规则的进程由于高内存使用率而被杀死。这可能是由于工作进程超出了其内存限制。
我尝试通过在Snakefile中添加脚本来增加Dask Worker的内存限制。此外，我尝试通过在WSL环境的用户目录中添加.wslconfig文件来增加WSL环境的内存限制，指定8 GB的内存。然而，这两种方法都没有解决错误。我的系统总内存为16 GB。
我恳请大家帮助我解决这类错误，如图所示。解决这个错误使我能够成功地运行PyPSA模型，并继续为我的硕士论文开发PyPSA-eur能源系统。
非常感谢，Stijn
运行snakemake后的完整终端消息的第一个图像：
x1c 0d1x的数据
运行snakemake后的完整终端消息的第二张图片，包括错误消息：

的
运行snakemake --cores all后包含错误消息的终端部分：

INFO:__main__:Calculate landuse availabilities...
INFO:__main__:Completed availability calculation (95.49s)
INFO:atlite.convert:Convert and aggregate 'pv'.
2023-12-27 14:44:34,179 - distributed.worker.memory - WARNING - Unmanaged memory use is high. This may indicate a memory leak or the memory may not be released to the OS; see https://distributed.dask.org/en/latest/worker-memory.html#memory-not-released-back-to-the-os for more information. -- Unmanaged memory: 1.38 GiB -- Worker memory limit: 1.91 GiB
2023-12-27 14:44:36,119 - distributed.worker.memory - WARNING - Unmanaged memory use is high. This may indicate a memory leak or the memory may not be released to the OS; see https://distributed.dask.org/en/latest/worker-memory.html#memory-not-released-back-to-the-os for more information. -- Unmanaged memory: 1.36 GiB -- Worker memory limit: 1.91 GiB
2023-12-27 14:44:37,196 - distributed.worker.memory - WARNING - Worker is at 81% memory usage. Pausing worker.  Process memory: 1.55 GiB -- Worker memory limit: 1.91 GiB
[Wed Dec 27 14:44:38 2023]
Error in rule build_renewable_profiles:
    jobid: 10
    input: resources/networks/base.nc, data/bundle/corine/g250_clc06_V18_5.tif, resources/natura.tiff, resources/country_shapes.geojson, resources/offshore_shapes.geojson, resources/regions_onshore.geojson, cutouts/europe-2013-sarah.nc
    output: resources/profile_solar.nc
    log: logs/build_renewable_profile_solar.log (check log file(s) for error details)
    conda-env: /home/cfl/pypsa-balticsea/.snakemake/conda/a193a967e4b3183c6023115ed840b879_

RuleException:
CalledProcessError in file /home/cfl/pypsa-balticsea/rules/build_electricity.smk, line 309:
Command 'set -euo pipefail;  /home/cfl/miniconda3/envs/pypsa-eur/bin/python3.11 /home/cfl/pypsa-balticsea/.snakemake/scripts/tmpwdpwcq1a.build_renewable_profiles.py' died with <Signals.SIGKILL: 9>.
  File "/home/cfl/pypsa-balticsea/rules/build_electricity.smk", line 309, in __rule_build_renewable_profiles
  File "/home/cfl/miniconda3/envs/pypsa-eur/lib/python3.11/concurrent/futures/thread.py", line 58, in run
Shutting down, this might take some time.
Exiting because a job execution failed. Look above for error message
/home/cfl/miniconda3/envs/pypsa-eur/lib/python3.11/multiprocessing/resource_tracker.py:254: UserWarning: resource_tracker: There appear to be 24 leaked semaphore objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
Complete log: .snakemake/log/2023-12-27T144217.073372.snakemake.log

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