Open finozzifa opened 1 month ago
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pypsa-africa
conda env update -f envs/environment.yaml
The script build_base_energy_totals.py in pypsa-earth-sec, contains the dictionary
# Create a dictionary with all the conversion factors from ktons or m3 to TWh based on https://unstats.un.org/unsd/energy/balance/2014/05.pdf fuels_conv_toTWh = { "Gas Oil/ Diesel Oil": 0.01194, "Motor Gasoline": 0.01230, "Kerosene-type Jet Fuel": 0.01225, "Aviation gasoline": 0.01230, "Biodiesel": 0.01022, "Natural gas liquids": 0.01228, "Biogasoline": 0.007444, "Bitumen": 0.01117, "Fuel oil": 0.01122, "Liquefied petroleum gas (LPG)": 0.01313, "Liquified Petroleum Gas (LPG)": 0.01313, "Lubricants": 0.01117, "Naphtha": 0.01236, "Fuelwood": 0.00254, "Charcoal": 0.00819, "Patent fuel": 0.00575, "Brown coal briquettes": 0.00575, "Hard coal": 0.007167, "Other bituminous coal": 0.005556, "Anthracite": 0.005, "Peat": 0.00271, "Peat products": 0.00271, "Lignite": 0.003889, "Brown coal": 0.003889, "Sub-bituminous coal": 0.005555, "Coke-oven coke": 0.0002778, "Coke oven coke": 0.0002778, "Coke Oven Coke": 0.0002778, "Gasoline-type jet fuel": 0.01230, "Conventional crude oil": 0.01175, "Brown Coal Briquettes": 0.00575, "Refinery Gas": 0.01375, "Petroleum coke": 0.009028, "Coking coal": 0.007833, "Peat Products": 0.00271, "Petroleum Coke": 0.009028, }
Such dictionary is equivalent to the one defined in the method _get_convfactors from helpers.py. Namely:
def get_conv_factors(sector): # Create a dictionary with all the conversion factors from ktons or m3 to TWh based on https://unstats.un.org/unsd/energy/balance/2014/05.pdf if sector == "industry": fuels_conv_toTWh = { "Gas Oil/ Diesel Oil": 0.01194, "Motor Gasoline": 0.01230, "Kerosene-type Jet Fuel": 0.01225, "Aviation gasoline": 0.01230, "Biodiesel": 0.01022, "Natural gas liquids": 0.01228, "Biogasoline": 0.007444, "Bitumen": 0.01117, "Fuel oil": 0.01122, "Liquefied petroleum gas (LPG)": 0.01313, "Liquified Petroleum Gas (LPG)": 0.01313, "Lubricants": 0.01117, "Naphtha": 0.01236, "Fuelwood": 0.00254, "Charcoal": 0.00819, "Patent fuel": 0.00575, "Brown coal briquettes": 0.00575, "Hard coal": 0.007167, "Hrad coal": 0.007167, "Other bituminous coal": 0.005556, "Anthracite": 0.005, "Peat": 0.00271, "Peat products": 0.00271, "Lignite": 0.003889, "Brown coal": 0.003889, "Sub-bituminous coal": 0.005555, "Coke-oven coke": 0.0078334, "Coke oven coke": 0.0078334, "Coke Oven Coke": 0.0078334, "Gasoline-type jet fuel": 0.01230, "Conventional crude oil": 0.01175, "Brown Coal Briquettes": 0.00575, "Refinery Gas": 0.01375, "Petroleum coke": 0.009028, "Coking coal": 0.007833, "Peat Products": 0.00271, "Petroleum Coke": 0.009028, "Additives and Oxygenates": 0.008333, "Bagasse": 0.002144, "Bio jet kerosene": 0.011111, "Crude petroleum": 0.011750, "Gas coke": 0.007326, "Gas Coke": 0.007326, "Refinery gas": 0.01375, "Coal Tar": 0.007778, } return fuels_conv_toTWh
There are however a couple of caveats:
[ ] The dictionary from the helpers.py method contains extra entries. Namely:
"Hrad coal": 0.007167, "Additives and Oxygenates": 0.008333, "Bagasse": 0.002144, "Bio jet kerosene": 0.011111, "Crude petroleum": 0.011750, "Gas coke": 0.007326, "Gas Coke": 0.007326, "Refinery gas": 0.01375, "Coal Tar": 0.007778,
[ ] The values associated to the keys "Coke-oven coke", "Coke oven coke" and "Coke Oven Coke" differ between the two versions of the dictionary. Namely:
In build_base_energy_totals.py "Coke-oven coke": 0.0002778, "Coke oven coke": 0.0002778, "Coke Oven Coke": 0.0002778,
and
In helpers.py "Coke-oven coke": 0.0078334, "Coke oven coke": 0.0078334, "Coke Oven Coke": 0.0078334,
Based on my calculations and my understanding, the figures from the helpers.py are the correct ones.
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branch or the latest release. Please indicate.pypsa-africa
environment. Update viaconda env update -f envs/environment.yaml
.Describe the Bug
The script build_base_energy_totals.py in pypsa-earth-sec, contains the dictionary
Such dictionary is equivalent to the one defined in the method _get_convfactors from helpers.py. Namely:
There are however a couple of caveats:
[ ] The dictionary from the helpers.py method contains extra entries. Namely:
[ ] The values associated to the keys "Coke-oven coke", "Coke oven coke" and "Coke Oven Coke" differ between the two versions of the dictionary. Namely:
and
Based on my calculations and my understanding, the figures from the helpers.py are the correct ones.