Move the co2_factors into a csv file

docs/energy_co2_conversion_factors.csv

@@ -0,0 +1,15 @@
+energy_carrier_name,unit,value,energy_carrier_unit,information source,CO2 per energy_carrier_unit
+Biodiesel,kWh_eleq/l,0.06290669,l,,0
+Crude_oil,kWh_eleq/kg,11.63042204,kg,,0
+Diesel,kWh_eleq/l,9.48030688,l,"https://epact.energy.gov/fuel-conversion-factors, conversion gallon->4.546092 l",0
+Electricity,kWh_eleq/kWh_el,1,kWh_el,,0
+Ethane,kWh_eleq/l,5.149767951,l,,0
+Ethanol,kWh_eleq/l,0.04242544,l,,0
+Gas,kWh_eleq/m3,0.00933273,l,"https://epact.energy.gov/fuel-conversion-factors, conversion gallon->4.546092 l",0
+Gasoline,kWh_eleq/l,8.735753974,l,,0
+H2,kWh_eleq/kgH2,33.47281985,kgH2,"https://epact.energy.gov/fuel-conversion-factors",0
+Heat,KWh_eleq/kWh_therm,1.0002163,kWh_therm,,0
+Kerosene,kWh_eleq/l,8.908073954,l,,0
+LNG,kWh_eleq/kg,12.69270292,kg,,0
+LPG,kWh_eleq/l,6.472821609,l,,0
+Natural_gas,kWh_eleq/m3,0.00933273,l,"https://epact.energy.gov/fuel-conversion-factors, conversion gallon->4.546092 l",0

prepare_package.py

@@ -22,10 +22,10 @@
         os.path.join(".", pgk_data_src), os.path.join(pkg_data_folder, pkg_data_dest)
     )
 # Move the MVS parameters from the docs into the package_data folder
-shutil.copyfile(
-    os.path.join(".", "docs", "MVS_parameters_list.csv"),
-    os.path.join(pkg_data_folder, "MVS_parameters_list.csv"),
-)
+for doc_file in ("MVS_parameters_list.csv", "energy_co2_conversion_factors.csv"):
+    shutil.copyfile(
+        os.path.join(".", "docs", doc_file), os.path.join(pkg_data_folder, doc_file),
+    )
 
 # Rebuild the package
 os.system("python setup.py sdist bdist_wheel")

src/multi_vector_simulator/utils/constants.py

@@ -3,6 +3,7 @@
 =================
 """
 import os
+import pandas as pd
 from copy import deepcopy
 
 from multi_vector_simulator.utils.constants_json_strings import *
@@ -289,43 +290,27 @@
     },
 }
 
-ENERGY_CARRIER_UNIT = "energy_carrier_unit"
-DEFAULT_WEIGHTS_ENERGY_CARRIERS = {
-    "LNG": {UNIT: "kWh_eleq/kg", VALUE: 12.69270292, ENERGY_CARRIER_UNIT: "kg",},
-    "Crude_oil": {UNIT: "kWh_eleq/kg", VALUE: 11.63042204, ENERGY_CARRIER_UNIT: "kg",},
-    "Diesel": {
-        UNIT: "kWh_eleq/l",
-        VALUE: 9.48030688,
-        ENERGY_CARRIER_UNIT: "l",
-    },  # https://epact.energy.gov/fuel-conversion-factors, conversion gallon->4.546092 l
-    "Kerosene": {UNIT: "kWh_eleq/l", VALUE: 8.908073954, ENERGY_CARRIER_UNIT: "l",},
-    "Gasoline": {UNIT: "kWh_eleq/l", VALUE: 8.735753974, ENERGY_CARRIER_UNIT: "l",},
-    "LPG": {UNIT: "kWh_eleq/l", VALUE: 6.472821609, ENERGY_CARRIER_UNIT: "l",},
-    "Ethane": {UNIT: "kWh_eleq/l", VALUE: 5.149767951, ENERGY_CARRIER_UNIT: "l",},
-    "H2": {
-        UNIT: "kWh_eleq/kgH2",
-        VALUE: 33.47281985,
-        ENERGY_CARRIER_UNIT: "kgH2",
-    },  # https://epact.energy.gov/fuel-conversion-factors
-    "Electricity": {UNIT: "kWh_eleq/kWh_el", VALUE: 1, ENERGY_CARRIER_UNIT: "kWh_el",},
-    "Biodiesel": {UNIT: "kWh_eleq/l", VALUE: 0.06290669, ENERGY_CARRIER_UNIT: "l",},
-    "Ethanol": {UNIT: "kWh_eleq/l", VALUE: 0.04242544, ENERGY_CARRIER_UNIT: "l",},
-    "Natural_gas": {
-        UNIT: "kWh_eleq/m3",
-        VALUE: 0.00933273,
-        ENERGY_CARRIER_UNIT: "l",
-    },  # https://epact.energy.gov/fuel-conversion-factors, conversion gallon->4.546092 l
-    "Gas": {
-        UNIT: "kWh_eleq/m3",
-        VALUE: 0.00933273,
-        ENERGY_CARRIER_UNIT: "l",
-    },  # https://epact.energy.gov/fuel-conversion-factors, conversion gallon->4.546092 l
-    "Heat": {
-        UNIT: "KWh_eleq/kWh_therm",
-        VALUE: 1.0002163,
-        ENERGY_CARRIER_UNIT: "kWh_therm",
-    },
-}
+WEIGHTS_ENERGY_CARRIER = "weights_energy_carrier"
+
+try:
+    energy_carriers_file = "energy_co2_conversion_factors.csv"
+    FILE_PATH = os.path.join(
+        os.path.dirname(
+            os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+        ),
+        "docs",
+    )
+    if os.path.exists(FILE_PATH):
+        FILE_PATH = PACKAGE_DATA_PATH
+
+    df = pd.read_csv(
+        os.path.join(FILE_PATH, "energy_co2_conversion_factors.csv"), index_col=0
+    )
+
+    DEFAULT_WEIGHTS_ENERGY_CARRIERS = df.to_dict(orient="index")
+except FileNotFoundError:
+    DEFAULT_WEIGHTS_ENERGY_CARRIERS = None
+
 
 # dict keys in results_json file
 TIMESERIES = "timeseries"