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Remove biomass from chemicals, cement; increase in PPA, FBT

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Remove non-existing biomass from chemicals and cement, since these
need higher temperatures than achievable with residues and waste.

Increase biomass in pulp and paper (since already used extensively
here and T < 500), and replace methane with biomass in food, beverages
and tobacco, since temperatures needed are low (T < 500).
This commit is contained in:
Tom Brown 2020-09-07 14:49:20 +02:00
parent f3dcda9179
commit aa3ffb9ac2
1 changed files with 48 additions and 33 deletions
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81
scripts/build_industry_sector_ratios.py
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@ -326,9 +326,9 @@ df.loc['naphtha',sector] += (s_fec['Solids'] + s_fec['Refinery gas'] + s_fec['LP
+ s_fec['Residual fuel oil'] + s_fec['Other liquids'])
#### Chemicals: Steam processing
#> All the final energy consumption in the Stem processing is converted to biomass.
#> All the final energy consumption in the Steam processing is converted to methane, since we need >1000 C temperatures here.
#
#> The current efficiency of biomass is assumed in the conversion.
#> The current efficiency of methane is assumed in the conversion.
subsector = 'Chemicals: Steam processing'
@ -339,13 +339,11 @@ s_ued = excel_ued.iloc[22:33,year]
assert s_fec.index[0] == subsector
# efficiency of biomass
eff_bio = s_ued['Biomass']/s_fec['Biomass']
# efficiency of natural gas
eff_ch4 = s_ued['Natural gas (incl. biogas)']/s_fec['Natural gas (incl. biogas)']
# replace all non-methane fec by biomass
df.loc['biomass',sector] += (s_ued[subsector]-s_ued['Natural gas (incl. biogas)'])/eff_bio
df.loc['methane',sector] += s_fec['Natural gas (incl. biogas)']
# replace all fec by methane
df.loc['methane',sector] += s_ued[subsector]/eff_ch4
#### Chemicals: Furnaces
#> assume fully electrified
@ -657,7 +655,7 @@ excel_emi = pd.read_excel('{}/JRC-IDEES-2015_Industry_{}.xlsx'.format(base_dir,c
#
#> Temperatures above 1400C are required for procesing limestone and sand into clinker.
#
#> Everything (except current electricity and heat consumption) is transformed into biomass
#> Everything (except current electricity and heat consumption and existing biomass) is transformed into methane for high T.
sector = 'Cement'
@ -676,10 +674,11 @@ df.loc['elec',sector] += s_fec[['Lighting','Air compressors','Motor drives','Fan
# Low enthalpy heat
df.loc['heat',sector] += s_fec['Low enthalpy heat']
# Efficiency changes due to biomass
eff_bio=s_ued['Biomass']/s_fec['Biomass']
# pre-processing: keep existing elec and biomass, rest to methane
df.loc['elec', sector] += s_fec['Cement: Grinding, milling of raw material']
df.loc['biomass', sector] += s_fec['Biomass']
df.loc['methane', sector] += s_fec['Cement: Pre-heating and pre-calcination'] - s_fec['Biomass']
df.loc['biomass', sector] += s_ued[['Cement: Grinding, milling of raw material', 'Cement: Pre-heating and pre-calcination']].sum()/eff_bio
#### Cement: Clinker production (kilns)
@ -692,10 +691,10 @@ s_ued = excel_ued.iloc[34:43,year]
assert s_fec.index[0] == subsector
# Efficiency changes due to biomass
eff_bio=s_ued['Biomass']/s_fec['Biomass']
df.loc['biomass', sector] += s_fec['Biomass']
df.loc['methane', sector] += s_fec['Cement: Clinker production (kilns)'] - s_fec['Biomass']
df.loc['elec', sector] += s_fec['Cement: Grinding, packaging']
df.loc['biomass', sector] += s_ued[['Cement: Clinker production (kilns)', 'Cement: Grinding, packaging']].sum()/eff_bio
#### Process-emission came from the calcination of limestone to chemically reactive calcium oxide (lime).
#> Calcium carbonate -> lime + CO2
@ -837,7 +836,7 @@ excel_out = pd.read_excel('{}/JRC-IDEES-2015_Industry_{}.xlsx'.format(base_dir,c
#
#> Includes three subcategories: (a) Wood preparation, grinding; (b) Pulping; (c) Cleaning.
#
#> (b) Pulping is electrified. The efficiency is calculated from the pulping process that is already electric.
#> (b) Pulping is either biomass or electric; left like this (dominated by biomass).
#
#> (a) Wood preparation, grinding and (c) Cleaning represent only 10% their current energy consumption is assumed to be electrified without any change in efficiency
@ -859,14 +858,11 @@ df.loc['elec', sector] += s_fec[['Lighting','Air compressors','Motor drives','Fa
df.loc['heat', sector] += s_fec['Low enthalpy heat']
# Industry-specific
df.loc['elec', sector] += s_fec[['Pulp: Wood preparation, grinding', 'Pulp: Cleaning']].sum()
df.loc['elec', sector] += s_fec[['Pulp: Wood preparation, grinding', 'Pulp: Cleaning', 'Pulp: Pulping electric']].sum()
# Efficiency changes due to electrification
eff_elec=s_ued['Pulp: Pulping electric']/s_fec['Pulp: Pulping electric']
df.loc['elec', sector] += s_ued['Pulp: Pulping thermal']/eff_elec
# add electricity from process that is already electrified
df.loc['elec', sector] += s_fec['Pulp: Pulping electric']
# Efficiency changes due to biomass
eff_bio=s_ued['Biomass']/s_fec['Biomass']
df.loc['biomass', sector] += s_ued['Pulp: Pulping thermal']/eff_bio
s_out = excel_out.iloc[8:9,year]
@ -881,7 +877,7 @@ df.loc[sources,sector] = df.loc[sources,sector]*conv_factor/s_out['Pulp producti
#
#> Includes three subcategories: (a) Stock preparation; (b) Paper machine; (c) Product finishing.
#
#> (b) Paper machine and (c) Product finishing are electrified. The efficiency is calculated from the pulping process that is already electric.
#> (b) Paper machine and (c) Product finishing are left electric and thermal is moved to biomass. The efficiency is calculated from the pulping process that is already biomass.
#
#> (a) Stock preparation represents only 7% and its current energy consumption is assumed to be electrified without any change in efficiency.
@ -905,16 +901,35 @@ df.loc['heat', sector] += s_fec['Low enthalpy heat']
# Industry-specific
df.loc['elec', sector] += s_fec['Paper: Stock preparation']
# Efficiency changes due to electrification
eff_elec=s_ued['Paper: Paper machine - Electricity']/s_fec['Paper: Paper machine - Electricity']
df.loc['elec', sector] += s_ued['Paper: Paper machine - Steam use']/eff_elec
eff_elec=s_ued['Paper: Product finishing - Electricity']/s_fec['Paper: Product finishing - Electricity']
df.loc['elec', sector] += s_ued['Paper: Product finishing - Steam use']/eff_elec
# add electricity from process that is already electrified
df.loc['elec', sector] += s_fec['Paper: Paper machine - Electricity']
# add electricity from process that is already electrified
df.loc['elec', sector] += s_fec['Paper: Product finishing - Electricity']
s_fec = excel_fec.iloc[53:64,year]
s_ued = excel_ued.iloc[53:64,year]
assert s_fec.index[0] == 'Paper: Paper machine - Steam use'
# Efficiency changes due to biomass
eff_bio=s_ued['Biomass']/s_fec['Biomass']
df.loc['biomass', sector] += s_ued['Paper: Paper machine - Steam use']/eff_bio
s_fec = excel_fec.iloc[66:77,year]
s_ued = excel_ued.iloc[66:77,year]
assert s_fec.index[0] == 'Paper: Product finishing - Steam use'
# Efficiency changes due to biomass
eff_bio=s_ued['Biomass']/s_fec['Biomass']
df.loc['biomass', sector] += s_ued['Paper: Product finishing - Steam use']/eff_bio
# read the corresponding lines
s_out = excel_out.iloc[9:10,year]
@ -1008,8 +1023,8 @@ df.loc['elec', sector] += s_ued['Food: Drying']/eff_elec
eff_elec=s_ued['Food: Electric cooling']/s_fec['Food: Electric cooling']
df.loc['elec', sector] += s_ued['Food: Process cooling and refrigeration']/eff_elec
# Steam processing is electrified without change in efficiency
df.loc['elec', sector] += s_fec['Food: Steam processing']
# Steam processing goes all to biomass without change in efficiency
df.loc['biomass', sector] += s_fec['Food: Steam processing']
# add electricity from process that is already electrified
df.loc['elec', sector] += s_fec['Food: Electric machinery']