Actually push new sector handling functionality into tool source code.

See #157 for long-term fix.

Signed-off-by: MichaelTiemann <[email protected]>
Signed-off-by: Michael Tiemann <[email protected]>

Author: MichaelTiemannOSC

ITR/configs.py

@@ -84,22 +84,36 @@ class ColumnsConfig:
 
 
 class SectorsConfig:
+    POWER_UTILITY = "Electricity Utilities"
+    GAS_UTILITY = "Gas Utilities"
+    UTILITY = "Utilities"
     STEEL = "Steel"
-    ELECTRICITY = "Electricity Utilities"
+    ALUMINUM = "Aluminum"
+    OIL_AND_GAS = "Oil & Gas"
+    AUTOMOBILE = "Autos"
+    TRUCKING = "Trucking"
+    CEMENT = "Cement"
+    BUILDINGS = "Buildings"
+    TEXTILES = "Textiles"
+    CHEMICALS = "Chemicals"
     INFORMATION_TECHNOLOGY = "Information Technology"
     INDUSTRIALS = "Industrials"
     FINANCIALS = "Financials"
     HEALTH_CARE = "Health Care"
-    AUTOMOBILE = "Autos"
-    OIL_AND_GAS = "Oil & Gas"
 
     @classmethod
     def get_configured_sectors(cls) -> List[str]:
         """
         Get a list of sectors configured in the tool.
         :return: A list of sectors string values
         """
-        return [SectorsConfig.STEEL, SectorsConfig.ELECTRICITY, SectorsConfig.AUTOMOBILE, SectorsConfig.OIL_AND_GAS]
+        return [SectorsConfig.POWER_UTILITY, SectorsConfig.GAS_UTILITY, SectorsConfig.UTILITY,
+                SectorsConfig.STEEL, SectorsConfig.ALUMINUM,
+                SectorsConfig.OIL_AND_GAS,
+                SectorsConfig.AUTOMOBILE, SectorsConfig.TRUCKING,
+                SectorsConfig.CEMENT, SectorsConfig.BUILDINGS,
+                SectorsConfig.TEXTILES, SectorsConfig.CHEMICALS,
+                ]
 
 
 class VariablesConfig:

ITR/data/excel.py

@@ -22,8 +22,8 @@
 
 
 # Excel spreadsheets don't have units elaborated, so we translate sectors to units
-sector_to_production_metric = {'Electricity Utilities': 'GJ', 'Steel': 'Fe_ton', 'Oil & Gas': 'boe', 'Autos': 'passenger km'}
-sector_to_intensity_metric = {'Electricity Utilities': 't CO2/MWh', 'Steel': 't CO2/Fe_ton', 'Oil & Gas': 'kg CO2/boe', 'Autos': 'g CO2/(passenger km)'}
+sector_to_production_metric = {'Electricity Utilities': 'GJ', 'Steel': 'Fe_ton', 'Oil & Gas': 'boe', 'Autos': 'pkm'}
+sector_to_intensity_metric = {'Electricity Utilities': 't CO2/MWh', 'Steel': 't CO2/Fe_ton', 'Oil & Gas': 'kg CO2/boe', 'Autos': 'g CO2/pkm'}
 
 # TODO: Force validation for excel benchmarks
 

ITR/interfaces.py

@@ -492,15 +492,27 @@ def _fixup_year_value_list(self, ListType, u_list, metric, inferred_metric):
         return r_list
 
     def _sector_to_production_units(self, sector, region="Global"):
+        sector_unit_dict = {
+            'Electricity Utilities': { 'North America':'MWh', 'Global': 'GJ' },
+            'Gas Utilities': { 'Global': 'PJ' },
+            'Utilities': { 'Global': 'PJ' },
+            'Steel': { 'Global': 't Steel' },
+            'Aluminum': { 'Global': 't Aluminum' },
+            'Oil & Gas': { 'Global': 'mmboe' },
+            'Autos': { 'Global': 'pkm' },
+            'Trucking': { 'Global': 'tkm' },
+            'Cement': { 'Global': 't Cement' },
+            'Buildings': { 'Global': 'billion m**2' }, # Should it be 'built m**2' ?
+            'Textiles': { 'Global': 'billion USD' },
+            'Chemicals': { 'Global': 'billion USD' },
+        }
         units = None
-        if sector == 'Electricity Utilities':
-            units = 'MWh' if region == 'North America' else 'GJ'
-        elif sector == 'Steel':
-            units = 'Fe_ton'
-        elif sector == 'Oil & Gas':
-            units = 'mmboe'
-        elif sector == 'Autos':
-            units = '(passenger km)'
+        if sector_unit_dict.get(sector):
+            region_unit_dict = sector_unit_dict[sector]
+            if region_unit_dict.get(region):
+                units = region_unit_dict[region]
+            else:
+                units = region_unit_dict['Global']
         else:
             raise ValueError(f"No source of production metrics for {self.company_name}")
         return units        

examples/ITR_UI.py

@@ -94,9 +94,9 @@
 
 
 # Emission intensities
-benchmark_EI_OECM_file = "benchmark_EI_OECM.json"
 benchmark_EI_OECM_PC_file = "benchmark_EI_OECM_PC.json"
 benchmark_EI_OECM_S3_file = "benchmark_EI_OECM_S3.json"
+benchmark_EI_OECM_file = "benchmark_EI_OECM.json" # Deprecated!
 benchmark_EI_TPI_15_file = "benchmark_EI_TPI_1_5_degrees.json"
 benchmark_EI_TPI_file = "benchmark_EI_TPI_2_degrees.json"
 benchmark_EI_TPI_below_2_file = "benchmark_EI_TPI_below_2_degrees.json"
@@ -114,16 +114,17 @@
 
 # load default intensity benchmarks
 def recalculate_individual_itr(scenario):
-    if scenario == 'OECM':
-        benchmark_file = benchmark_EI_OECM_file
-    elif scenario == 'OECM_PC':
+    if scenario == 'OECM_PC':
         benchmark_file = benchmark_EI_OECM_PC_file
     elif scenario == 'OECM_S3':
         benchmark_file = benchmark_EI_OECM_S3_file
     elif scenario == 'TPI_2_degrees':
         benchmark_file = benchmark_EI_TPI_file
     elif scenario == 'TPI_15_degrees':
         benchmark_file = benchmark_EI_TPI_15_file
+    elif scenario == 'OECM':
+        benchmark_file = benchmark_EI_OECM_file
+        logger.info('OECM scenario is for backward compatibility only.  Use OECM_PC instead.')
     else:
         benchmark_file = benchmark_EI_TPI_below_2_file
     # load intensity benchmarks
@@ -136,7 +137,7 @@ def recalculate_individual_itr(scenario):
     return df
 
 
-initial_portfolio = recalculate_individual_itr('OECM')
+initial_portfolio = recalculate_individual_itr('OECM_PC')
 amended_portfolio_global = initial_portfolio.copy()
 filt_df = initial_portfolio.copy()
 
@@ -279,14 +280,14 @@ def dequantify_plotly(px_func, df, **kwargs):
                 ),
                 dcc.Dropdown(id="scenario-dropdown",
                              options=[  # 16.05.2022: make this dynamic
-                                 {'label': 'OECM 1.5 degrees', 'value': 'OECM'},
                                  {'label': 'OECM (Prod-Centric) 1.5 degC', 'value': 'OECM_PC'},
                                  {'label': 'OECM (Scope 3) 1.5 degC', 'value': 'OECM_S3'},
+                                 {'label': 'OECM (Deprecated) 1.5 degrees', 'value': 'OECM'},
                                  {'label': 'TPI 1.5 degrees', 'value': 'TPI_15_degrees'},
                                  {'label': 'TPI 2 degrees', 'value': 'TPI_2_degrees'},
                                  {'label': 'TPI below 2 degrees', 'value': 'TPI_below_2_degrees'}
                              ],
-                             value='OECM',
+                             value='OECM_PC',
                              clearable=False,
                              placeholder="Select emission scenario"),
                 html.Div(id='hidden-div', style={'display': 'none'}),