/2021-FuelCellLCA

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

2021-FuelCellLCA

The file contains codes for

Yang, et al. Life cycle assessment shows that retrofitting coal-fired power plants with fuel cells will substantially reduce greenhouse gas emissions. One Earth, 5 (4), 392-402

Jupyter notebook is used to open, edit, and run the codes.

Required python packages are:

altair brightway2 geopandas matplotlib numpy pandas plotly seaborn scipy

Essential datasets are:

China's geospatial map from Natural Earth (https://www.naturalearthdata.com/) Ecoinvent 3.6 life-cycle database (https://www.ecoinvent.org/) Manually collected fuel cell datasets (Supplementary Table from this work) China's site-specific power plants data from China Electriciy Eouncil (http://english.cec.org.cn/)

System information:

Processor: Inter(R) Core(TM) i5-6267U CPU @ 2.90 GHz 2.80 GHz RAM: 8 GB System Type: 64 bit

If you have any questions, please contact:

Fan Yang

Email: yangf1995@gmail.com