cleanup and add to Readme

README.md

@@ -18,6 +18,7 @@ The LCIA Formatter v1 was peer-reviewed internally at USEPA and externally throu
 |ImpactWorld+ Endpoint*|International Reference Center for Life Cycle of Products, Services and Systems (CIRAIG)|[ImpactWorld+](http://www.impactworldplus.org/en/team.php)|
 |IPCC GWP|Intergovernmental Panel on Climate Change (IPCC)| |
 |FEDEFL Inventory Methods|US Environmental Protection Agency|[FEDEFL Inventory Methods](https://github.com/USEPA/LCIAformatter/wiki/Inventory-Methods)|
+|Cumulative Energy Demand|Federal LCA Commons|[FEDEFL Inventory Methods](https://github.com/USEPA/LCIAformatter/wiki/Inventory-Methods)|
 
 \* only works on Windows installations
 

lciafmt/ced.py

@@ -39,14 +39,14 @@ def get() -> pd.DataFrame():
     inv['Indicator'] = np.select(conditions, indicators, default='')
 
     ## Original CED Method included the
-    # "Energy, fossil, unspecified" technosphere flow
+    # "Energy, fossil, unspecified" technosphere flow;
+    # this has been dropped
     # https://www.lcacommons.gov/lca-collaboration/National_Renewable_Energy_Laboratory/USLCI_Database_Public/dataset/FLOW/46dc4693-2f24-39d2-b69f-dd059737fd5e
 
     ## Original CED Method used HHV for biomass/wood flows
     # Some wood flows were removed after the original method in FEDEFLv1.0.8
 
     # Dropped flows from FEDEFL inv method: "Hydrogen", "Energy, heat"
-
     inv = inv.query('Indicator != ""').reset_index(drop=True)
 
     return inv
@@ -57,3 +57,4 @@ def get() -> pd.DataFrame():
     df = get()
     store_method(df, method)
     lciafmt.util.save_json(method, df)
+    # lciafmt.util.save_json(method, df, write_flows=True)