JCM_ID_F_PM_ver01.0

JCM Proposed Methodology Form
Cover sheet of the Proposed Methodology Form
Form for submitting the proposed methodology
Host Country

Republic of Indonesia

Name of the methodology proponents Yokogawa Electric Corporation
submitting this form
Sectoral scope(s) to which the Proposed 3. Energy demand
Methodology applies
Title of the proposed methodology, and GHG emission reductions through optimization
version numberof refinery plant operation in Indonesia, version
1.0

List of documents to be attached to this form

The attached draft JCM-PDD:(please check):

Additional information

Date of completion

08/10/2014

History of the proposed methodology
Version
1.0

Date
08/10/2014

Contents revisedFirst edition1

JCM_ID_F_PM_ver01.0

A. Title of the methodology
GHG emission reductions through optimization of refinery plant operation in Indonesia, version
1.0

B. Terms and definitions
Terms
Distributed

Control(DCS)

Definitions
System An IT system used to control the production line in anindustry. DCS refers to decentralized elements or subsystems
to control distributed processes or complete manufacturingsystems, where each section of a process has its own
computerized system that controls the operation and isdifferent from a centrally located device controlling allprocess or systems. The entire system of controllers isconnected by network for communication and monitoring.

Advanced(APC)

Process

Control An IT system incorporating statistical analysis, decision
theory,engineering,

signalprocessing

andartificial

intelligence. APC is typically used to either refine processcontrol or address a specific issue associated with a process,by connecting to a DCS and providing direction of operation.
Key systems referred as APC are:

Dynamic linear process model identifier consisting of
combination of following technologies:
・ Multi-variable Statistical Analysis
・ Finite Impulse Response・ Parametric Model・ Step Response
・ Linear Dynamic Model IdentifierControl performance diagnosis equipment

Multi-variable model based predictive controller

Quality estimator

Whereas a DCS requires adjustment of the set points
manually for each variable by operator, APC automaticallycontrols process for the optimization of production, and/ orenergy efficiency when it is activated.

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Hydro cracking unit (HCU)

A production unit in an integrated crude oil refinery which
produces oil (naphtha, kerosene, diesel) from heavy gas oiland hydrogen.

Hydrogenproduction

unit A production unit in an integrated crude oil refinery which(HPU)

produces hydrogen from natural gas and steam.

ReactorA production equipment in HCU where heavy gas oil isheated up at pre-heater and heater, then cracked into
produced oil by hydrogen and catalyst.

Debutanizer

A production equipment in HCU to remove butane inproduced oil by vaporizing the oil at heater (reboiler) andpartially condensing the butane at top of the column andflows the remaining butane gas to downstream process by
own pressure.

Reformer

A production equipment in HPU to produce hydrogen fromnatural gas and steam by heating and reacting.

C. Summary of the methodology
Items
GHG

emission

Summary
reduction Introduction of plant optimization control systems (APC) thatmeasuresreduce energy consumption in the hydrogen production unit
(HPU) and hydro cracking unit (HCU) at a refinery plant.

Calculationofreference Reference emissions are calculated on the basis of historicalemissionsspecific emission per feed (or production volume) and the feed
input (or production volume) in the project case. Historical
specific emission per feed (or production volume) is determinedon the basis of the fuel consumption and feed input (orproduction volume) to HPU and HCU during a historical period
before implementation of project.

Calculationofproject Project emissions are calculated on the basis of monitored fuelemissionsconsumption at HPU and HCU.

Monitoring parameters

Quantity of feed input (or production volume) to the process
unit, fuel consumption, and hydrogen consumption at theprocess unit.

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D. Eligibility criteria
This methodology is applicable to projects that satisfy all of the following criteria.
Criterion 1

The project introduces APC to existing single or multiple hydrogen production
unit (HPU) or hydro cracking unit (HCU) at a refinery plant. APC serves one ormore of the following functions:

Criterion 2

Location of Location of Mechanism of emission reduction
installation
emission
reduction
A HCU
HCUReduction in heater fuel consumption due toincreased reactor column temperature
B HCU
HCU
Reduction in reboiler fuel consumption in
debutanizers due to reduced variability ofcolumn top pressure and lower the pressure
C HCU
HPU
Reduction in fuel consumption in HPU due toreduced hydrogen demand in HCU
D HPU
HPU
Improved efficiency of hydrogen productionin HPUThe process unit where APC is introduced has been equipped with DCS in
operation before the start of project.

Criterion 3

Retrofit and replacement of the process units, cleaning of heat exchangers and/orcolumns which are performed during a turnaround beyond the regular or
preventive maintenance activities are not taken place at the process unit where
APC is introduced (this criterion is checked upon each instance of verification,and credit will be issued only up to the date of such retrofit). Regular
maintenance refers to preventive maintenance activities include daily inspections
and lubrication of rotating equipment.

Criterion 4

Feed (or production volume), fossil fuel consumption, and hydrogenconsumption at the process unit are acquired, integrated and recorded electricallyaccording to pre-determined time intervals.

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E. Emission Sources and GHG types
Reference emissions
Emission sources

GHG types

Fossil fuel combustion at HPU and HCU

CO2Project emissions
Emission sources

GHG types

Fossil fuel combustion at HPU and HCU

CO2

F. Establishment and calculation of reference emissions
F.1. Establishment of reference emissions

Reference emissions are calculated on the basis of historical specific emission per feed (orproduction volume), and feed (or production volume) in the project case. Historical specificemission per input is determined on the basis of energy consumption and input to HPU andHCU during a historical period before implementation of the project. If multiple units exist in
the refinery for the same target process (i.e. multiple HPU units or HCU units), calculation will
be carried out for each unit.
Depending on the location of installation of APC, emission reduction in HPU and HCU canoccur as follows:5

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APC installation location Emission reduction in HCU
Emission reduction in HPU
HCU (reactor column)
A. Reduction in heater fuelC. Emission reduction in HPU
consumption due to increased
as a result of reduction incolumn temperature.
hydrogen demand in HCU(REHCU1,p - PEHCU1,p)(REHPU1,p - PEHPU1,p)
HCU (debutanizer)
B. Reduction of reboiler fuelNoneconsumption in debutanizers
due to reduced variability ofcolumn top pressure andlowering the pressure to therequired level.
(REHCU2,p - PEHCU2,p)
HPU
None
D. Emission reduction in HPU
as a result of improved
efficiencyofhydrogenproduction.
(REHPU2,p - PEHPU2,p)Therefore, it should be noted that emission reduction in HPU can occur due either to installationof APC in HCU or in HPU. The former is calculated in terms of reduced hydrogen consumption
per feed, and the latter due to improved efficiency of hydrogen production.
Ensuring net emission reduction
The methodology assures net reduction by not taking into account for reduction in consumptionof electricity and steam from outside the process (on-site generators and boilers) which occurs
as a result of process optimization due to implementation of the project. Furthermore, CO2
emission from chemical reaction in HPU is also reduced due to reduction in hydrogen demandin HCU, but this is not taken into account, leading to additional conservativeness.

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F.2. Calculation of reference emissions
Reference emissions are calculated as per one of the following options.


Options A1, B1, C1, and D1: reference emissions are calculated using historical three-year
data.



Options A2, B2, C2, and D2: reference emissions are calculated using data of thirty
consecutive operating days taken not more than one year after turnaround, for reasons ofconservativeness. Such data can be obtained from historical records or from a campaign.

Options A1, B1, C1 and D1 are the preferred approach.
1. Installation of APC in HCU
Emission reduction due to installation of APC in HCU can be divided into a) emission
reduction at reactor in HCU from reduction in fuel consumption, b) emission reduction atdebutanizer in HCU, and c) emission reduction at reformer in HPU from reduction in hydrogenconsumption in HCU. Therefore, reference emission can be divided accordingly, as follows:
A. Reference emissions to calculate emission reduction in HCU as a result of reduction inheater fuel consumption due to increased reactor column temperature (REHCU1,p)
Option A1: Where data on daily feed input and fossil fuel consumption for the historical
three-year period is available.
Step A1-1: Obtain data on daily feed input to reactor in HCU (FIHCURd) and fossil fuelconsumption in HCU reactor heater (FCHCUR,i,d) for the three years preceding introduction of
APC or (if APC is not yet introduced) three years up to the period not earlier than 6 months
before submission of the draft PDD. Convert FCHCUR,i,d into energy consumption ECHCUR,d by
multiplying by net calorific value of fossil fuel type i (NCVi), as follows:
(1)
Where
ECHCURd=FCHCUR,i,d

=

NCVi

=

Energy consumption of fuel i on day d during the historical three-year
period in HCU reactor heater. [GJ]
Daily consumption of fossil fuel type i on day d during the historical
three-year period in HCU reactor heater. [mass or volume unit]
Net calorific value of fossil fuel type i. [GJ/mass or volume unit]

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Step A1-2: Plot the data with daily feed input in day d during the historical period (FIHCURd:
mass or volume unit) on the x-axis and ECHCUR,d on the y-axis. Omit data obtained during
periods of startup, shutdown, maintenance (defined as periods where daily consumption of feed
input is less than 50% of its daily rated capacity), or malfunction of equipment or measurement
device.
Perform a linear regression analysis with non-negative y-intercept. If the regression coefficientR2 of the plotted data is smaller than 0.49 or the y-intercept is negative, omit statistical outlierswith a plot outside 2 times the standard deviation from the regression line.
Repeat the process until the R2 of the plotted data is larger than 0.49 and until the y-intercept is
not negative. Perform a linear regression analysis with the remaining data with a non-negative
y-intercept to derive a linear regression equation y = ax + b where variable y is the energy
consumption of the process (in GJ), variable x is the daily feed input (tonnes or otherappropriate mass or volume unit), and variable a is the specific energy consumption of process
per feed. If the R2 of the plotted data remain lower than 0.49 or the y-intercept remains below
zero, then the methodology is not applicable.
Step A1-3: Obtain reference emissions by the following equation.
(2)
and
(3)

Where
REHCU1,p

=

a

=

b

=

FIHCUR,p
EFHCUR,p==

FCHCUR,i,p

=

NCVi
EFi

=
=

Reference emission to calculate emission reduction in HCU as a result of
reduction in fuel consumption due to increased column temperatureduring a given time period p. [tCO2/p]
Constant (specific emission factor) obtained by the regression analysis as
per step A1-2. [GJ/mass or volume unit]
Constant (y-intercept) obtained by the regression analysis as per step
A1-2. [GJ]Feed input to HCU reactor during the time period p. [mass or volume unit]
Weighted average CO2 emission factor of fossil fuel consumed in HCU
reactor heater during the time period p. [tCO2/GJ]
Daily consumption of fossil fuel type i during the time period p in HCU
reactor heater. [mass or volume unit]
Net calorific value of fossil fuel type i. [GJ/mass or volume unit]
CO2 emission factor of fossil fuel i. [tCO2/GJ]

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JCM_ID_F_PM_ver01.0

During the period p, only the days where daily consumption of feed input is more than 50% of
its daily rated capacity is eligible.

Option A2: Where data for the historical three-year data cannot be obtained, REHCU1,p isderived by the following procedure.
Step A2-1: Obtain data on hourly feed input in HCU and fossil fuel consumption in HCU heater
without installation of APC for a period of thirty consecutive operating days, taken not morethan one year after turnaround. Obtain data on hourly feed input and energy consumption.
Conduct a campaign if necessary.
Step A2-2: Derive a linear regression equation using the method described in step A1-2 butusing the hourly data during the thirty consecutive operating days obtained in step A2-1.
Step A2-3: Calculate REHCU1,p using the equation described in step A1-3 but using theregression parameters obtained in step A2-2.

B. Reference emissions to calculate emission reduction in HCU as a result of reduction inreboiler fuel consumption in debutanizers due to reduced variability of column top
pressure and lower the pressure (REHCU2,p)Option B1: Where data on daily feed input to debutanizer and fossil fuel consumption forthe historical three-year period is available.
Step B1-1: Obtain data on daily feed input in HCU debutanizer (FIHCUD,d) and fossil fuelconsumption at debutanizer reboiler in HCU (FCHCUD,i,d) for the three years preceding
introduction of APC or (if APC is not yet introduced) three years up to the period not earlier
than 6 months before submission of the draft PDD. Convert FCHCUD i,d into energy consumption
ECHCUD,d by multiplying by net calorific value of fossil fuel type i (NCVi), as follows:(4)9

JCM_ID_F_PM_ver01.0

Where
ECHCUD,d=FCHCUD,i,d

=

NCVi

=

Energy consumption of fuel i on day d during the historical three-year
period at HCU debutanizer reboiler. [GJ]
Daily consumption of fossil fuel type i on day d during the historical
three-year period at HCU debutanizer reboiler.[mass or volume unit]
Net calorific value of fossil fuel type i.[GJ/mass or volume unit]

Step B1-2: Plot the data with daily feed input in day d during the historical period (FIHCUD,d:mass or volume unit) on the x-axis and ECHCUD,d on the y-axis. Omit data obtained during
periods of startup, shutdown, maintenance (defined as periods where daily consumption of feed
input is less than 50% of its daily rated capacity), or malfunction of equipment or measurement
device.
Perform a linear regression analysis with non-negative y-intercept. If the regression coefficientR2 of the plotted data is smaller than 0.49 or the y-intercept is negative, omit statistical outlierswith a plot outside 2 times the standard deviation from the regression line.
Repeat the process until the R2 of the plotted data is larger than 0.49 and until the y-intercept is
not negative. Perform a linear regression analysis with the remaining data with a non-negative
y-intercept to derive a linear regression equation y = cx + d where variable y is the energy
consumption of the process (in GJ), variable x is the daily feed input (tonnes or otherappropriate mass or volume unit), and variable c is the specific energy consumption of process
per feed. If the R2 of the plotted data remain lower than 0.49 or the y-intercept remains below
zero, then the methodology is not applicable.
Step B1-3: Obtain reference emissions by the following equation.
(5)
and

(6)

Where
REHCU2,p=c=Reference emissions to calculate emission reduction in HCU as a result of
reduction in reboiler fuel consumption in debutanizers due to reduced
variability of column top pressure and lower the pressure during a given
time period p. [tCO2/p]
Constant (specific emission factor) obtained by the regression analysis as
per step B1-2. [GJ/mass or volume unit]10

JCM_ID_F_PM_ver01.0

d=

FIHCUD,p=

EFHCUD,p=

FCHCUDi,p

=

NCVi
EFi

=
=

Constant (y-intercept) obtained by the regression analysis as per step
B1-2. [GJ]Feed input to HCU debutanizer during the time period p. [mass or volume
unit]
Weighted average CO2 emission factor of fossil fuel consumed in HCU
debutanizer reboiler during the time period p. [tCO2/GJ]
Daily consumption of fossil fuel type i during the time period p in HCU
debutanizer reboiler. [mass or volume unit]
Net calorific value of fossil fuel type i. [GJ/mass or volume unit]
CO2 emission factor of fossil fuel i. [tCO2/GJ]

During the period p, only the days where daily consumption of feed input is more than 50% of
its daily rated capacity is eligible.

Option B2: Where data for the historical three-year data cannot be obtained, REHCU2,p isderived by the following procedure.
Step B2-1: Obtain data on hourly feed input in HCU and fossil fuel consumption in HCU
reboiler without installation of APC for a period of thirty consecutive operating days, taken not
more than one year after turnaround. Obtain data on hourly feed input and energy consumption.
Conduct a campaign if necessary.
Step B2-2: Derive a linear regression equation using the method described in step B1-2 butusing the hourly data during the thirty consecutive operating days obtained in step B2-1.
Step B2-3: Obtain reference emissions using the equation described in step B1-3 but using theregression parameters obtained in step B2-2.

C. Reference emissions to calculate emission reduction in HPU as a result of reduction inhydrogen demand in HCU (REHPU1,p)
Option C1: Where data on daily feed input and hydrogen consumption in HCU, hydrogenproduction and fuel consumption in HPU for the historical three-year period is available.
Step C1-1: Obtain data on daily hydrogen consumption in HCU (HCHCU,d), daily feed input in
HCU reactor (FIHCUR,d), daily hydrogen production at HPU (HPHPU,d), fossil fuel consumption in
HPU (FCHPU,i,d) for the three years preceding introduction of APC or (if APC is not yet

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introduced) three years up to the period not earlier than 6 months before submission of the draft
PDD. Convert FCHPUi,d into energy consumption ECHPU,d by multiplying by net calorific valueof fossil fuel type i (NCVi), as follows:
(7)
Where
ECHPUd=FCHPU,i,d

=

NCVi

=

Energy consumption of fuel i on day d during the historical three-year
period in HPU reformer heater. [GJ]
Daily consumption of fossil fuel type i on day d during the historical
three-year period in HPU reformer heater. [mass or volume unit]
Net calorific value of fossil fuel type i. [GJ/mass or volume unit]

Step C1-2: Regression analysis (energy consumption in HPU per hydrogen production)
Plot the data with HPHPU,d (Nm3) on the x-axis and ECHPU,d (GJ) on the y-axis. Omit dataobtained during periods of startup, shutdown, maintenance (defined as periods where daily
consumption of feed input is less than 50% of its daily rated capacity), or malfunction ofequipment or measurement device.
Perform a linear regression analysis with non-negative y-intercept. If the regression coefficientR2 of the plotted data is smaller than 0.49 or the y-intercept is negative, omit statistical outlierswith a plot outside 2 times the standard deviation from the regression line.
Repeat the process until the R2 of the plotted data is larger than 0.49 and until the y-intercept is
not negative. Perform a linear regression analysis with the remaining data with a non-negative
y-intercept to derive a linear regression equation y = ex + f where variable y is the ECHPU,d andvariable x is HPHPU,d (in Nm3), e is the specific energy consumption of process per hydrogenproduction. If the R2 of the plotted data remain lower than 0.49 or the y-intercept remains below
zero, then the methodology is not applicable.
Step C1-3: Regression analysis (hydrogen consumption in HCU per feed input)
Plot the data with FIHCUR,d (mass or volume unit) on the x-axis and HHCU,d (Nm3) on the y-axis.
Omit data obtained during periods of startup or maintenance (defined as periods where daily
consumption of feed input is less than 50% of its daily rated capacity, or malfunction ofequipment or measurement device. Perform a linear regression analysis with y-intercept. If theregression coefficient R2 of the plotted data is smaller than 0.49, omit statistical outliers with aplot outside 2 times the standard deviation from the regression line. Repeat the process until theR2 of the plotted data is larger than 0.49. Perform a linear regression analysis with the remaining12

JCM_ID_F_PM_ver01.0

data to derive a linear regression equation y = gx + h where variable y is the hydrogenconsumption in HCU (in Nm3), variable x is the daily feed input (tonnes or other appropriate
mass or volume unit), g is the specific hydrogen consumption of process per feed. If the R2 ofthe plotted data remain lower than 0.49, then the methodology is not applicable.
Step C1-4: Obtain reference emissions by the following equation.
(8)
and
(9)

Where
REHPU1,p

=

e

=

f

=

g

=

h

=

FIHCURp
EFHPU,p==

FCHPU,I,d

=

NCVi
EFi

=
=

Reference emissions to calculate emission reduction in HPU as a result of
reduction in hydrogen demand in HCU during a given time period p.
[tCO2/p]
Constant (specific energy consumption per hydrogen production) obtainedby the regression analysis as per step C1-2. [GJ/ Nm3]
Constant (y-intercept) obtained by the regression analysis as per stepC1-2. [GJ]Constant (specific hydrogen consumption per feed input) obtained by the
regression analysis as per step C1-3. [Nm3/mass or volume unit]
Constant (y-intercept) obtained by the regression analysis as per stepC1-3. [Nm3]
Feed input to HCU reactor during the time period p. [mass or volume unit]
Weighted average CO2 emission factor of fossil fuel consumed in HPU
during the time period p. [tCO2/GJ]
Daily consumption of fossil fuel type i on day d during the historical
three-year period in HPU. [mass or volume unit]
Net calorific value of fossil fuel type i. [GJ/mass or volume unit]
CO2 emission factor of fossil fuel i [tCO2/GJ]

During the period p, only the days where daily consumption of feed input to reactor is morethan 50% of its daily rated capacity is eligible.

Option C2: Where data for the historical three-year data cannot be obtained, REHPU1,p isderived by the following procedure.
Step C2-1: Obtain data on hourly hydrogen consumption in HCU, hourly feed input in HCU
reactor, hourly hydrogen production at HPU, fossil fuel consumption in HPU without the
introduction of APC for a period of thirty consecutive operating days, taken not more than one

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JCM_ID_F_PM_ver01.0

year after turnaround. Obtain data on hourly feed input and energy consumption. Conduct a
campaign if necessary.

Step C2-2: Regression analysis (energy consumption in HPU per hydrogen production)
Derive a linear regression equation to obtain the parameters e and f using the method describedin step C1-2, based on the data obtained in step C2-1.
Step C2-3: Regression analysis (hydrogen consumption in HCU per feed input)
Derive a linear regression equation to obtain the parameters g and h using the method describedin step C1-3, based on the data obtained in step C2-1.
Step C2-4: Obtain reference emissions using the equation described in step C1-4 but using theregression parameters obtained in steps C2-2 and C2-3.

2. Installation of APC in HPU
D. Reference emissions to calculate emission reduction in HPU as a result of improved
efficiency of hydrogen production (REHPU2,p)Option D1: Where data on daily hydrogen production and fuel consumption in HPU for
the historical three-year period is available.

Step D1-1 : Calculation of specific energy consumption of hydrogen production.
See steps C1-1 and C1-2.

Step D1-2: Calculation of reference emissions to calculate emission reductions in HPU as aresult of improved efficiency of hydrogen production.
(10)

And
(11)

Where

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JCM_ID_F_PM_ver01.0

REHPU2,p

=

e

=

f

=

HPHPU,p
EFHPU,p==Reference emissions to calculate emission reductions in HPU as aresult of improved efficiency of hydrogen production. [t-CO2]
Constant (specific energy consumption per hydrogen production)
obtained by the regression analysis as per step C1-2. [GJ/ Nm3]
Constant (y-intercept) obtained by the regression analysis as per stepC1-2. [GJ]
Hydrogen production during a given time period p in HPU. [Nm3]
Weighted average CO2 emission factor of fossil fuel consumed in
HPU during the time period p. [tCO2/GJ]

During the period p, only the days where daily consumption of feed input to reactor is morethan 50% of its daily rated capacity is eligible.

Option D2: Where data for the historical three-year data cannot be obtained, REHPU2,p isderived by the following procedure.
Step D2-1 : Calculation of specific energy consumption of hydrogen production.
Derive a linear regression equation to obtain the parameters e and f using the method describedin step C1-2, based on the data obtained in step C2-1.

Step D2-2: Calculation of reference emissions to calculate emission reductions in HPU as aresult of improved efficiency of hydrogen production.
Obtain reference emissions using the equation described in step C1-2 but using the regression
parameters obtained in steps D2-1.

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G. Calculation of project emissions

Project emissions are calculated as follows:
1. Installation of APC in HCU
A. Project emissions to calculate emission reduction in HCU as a result of reduction inheater fuel consumption due to increased reactor column temperature (PEHCU1,p)

PEHCU1,p is calculated as follows:
PE HCU1, p  ( FC HCUR ,i , p  NCVi  EFi )

(12)

i

Where
PEHCU1,p=

FCHCUR,i,p

=

NCVi
EFi

=
=

Project emissions to calculate emission reduction in HCU as a result of
reduction in fuel consumption due to increased column temperatureduring a given time period p. [tCO2/p]
Consumption of fossil fuel i in HCU reactor heater during the period p.
[mass or volume unit]
Net calorific value of fossil fuel type i.[GJ/mass or volume unit]
CO2 emission factor of fossil fuel i [tCO2/GJ]

During the period p, only the days where daily consumption of feed input to reactor is morethan 50% of its daily rated capacity is eligible.
B. Project emissions to calculate emission reduction in HCU as a result of reduction inreboiler fuel consumption in debutanizers due to reduced variability of column top
pressure and lower the pressure (PEHCU2,p)

PEHCU2,p is calculated as follows:
(13)

Where
PEHCU2,p=

FCHCUDi,p

=

NCVi
EFi

=
=

Project emissions to calculate emission reduction in HCU as a result of
reduction in reboiler fuel consumption in debutanizers due to reduced
variability of column top pressure and lower the pressure during a given
time period p. [tCO2/p]
Daily consumption of fossil fuel type i during the time period p in HCU
debutanizer reboiler. [mass or volume unit]
Net calorific value of fossil fuel type i. [GJ/mass or volume unit]
CO2 emission factor of fossil fuel i. [tCO2/GJ]

During the period p, only the days where daily consumption of feed input to debutanizer is16

JCM_ID_F_PM_ver01.0

more than 50% of its daily rated capacity is eligible.
C. Project emissions to calculate emission reduction in HPU as a result of reduction inhydrogen demand in HCU (PEHPU1,p)

PEHPU1,p is calculated as follows:
(14)
Where
PEHPU1,p

=

e

=

f

=

HCHCU,p
EFHPU,p==Project emissions to calculate emission reduction in HPU as a resultof reduction in hydrogen demand in HCU during a given time period
p. [tCO2/p]
Constant (specific energy consumption per hydrogen production)
obtained by the regression analysis as per step C1-2. [GJ/ Nm3]
Constant (y-intercept) obtained by the regression analysis as per stepC1-2. [GJ]
Hydrogen consumption in HCU during a given time period p. [Nm3]
Weighted average CO2 emission factor of fossil fuel consumed in
HPU during the historical three-year period, obtained by the equationin step C1-2. [tCO2/GJ]

During the period p, only the days where daily consumption of feed input to reactor is morethan 50% of its daily rated capacity is eligible.
2. Installation of APC in HPU
D. Project emissions to calculate emission reductions in HPU as a result of improved
efficiency of hydrogen production (PEHPU2,p)
PEHPU2,p is calculated as follows:
(15)
Where
PEHPU2,p=

FCHPU,i,p

=

NCVi
EFi

=
=

Project emissions to calculate emission reductions in HPU as a result of
improved efficiency of hydrogen production during the time period p.
[tCO2]
Consumption of fossil fuel i in HPU during the period p. [mass or volume
unit]
Net calorific value of fossil fuel type i. [GJ/mass or volume unit]
CO2 emission factor of fossil fuel i. [tCO2/GJ]

During the period p, only the days where daily consumption of feed input to reactor is morethan 50% of its daily rated capacity is eligible.

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H. Calculation of emissions reductions
Emission reductions are calculated as follows:

(16)
Where
ERp
REHCU1,p==

PEHCU1,p=

REHCU2,p=

PEHCU2,p=

REHPU1,p=

PEHPU1,p=

REHPU2,p=

PEHPU2,p=Emission reductions during a given time period p. [tCO2/p]
Reference emissions to calculate emission reduction in HCU as a result of
reduction in fuel consumption due to increased reactor column
temperature during a given time period p. [tCO2/p]
Project emissions to calculate emission reduction in HCU as a result of
reduction in fuel consumption due to increased reactor column
temperature during a given time period p. [tCO2/p]
Reference emissions to calculate emission reduction in HCU as a result of
reduction in reboiler fuel consumption in debutanizers due to reduced
variability of column top pressure and lower the pressure during a given
time period p. [tCO2/p]
Project emissions to calculate emission reduction in HCU as a result of
reduction in reboiler fuel consumption in debutanizers due to reduced
variability of column top pressure and lower the pressure during a given
time period p. [tCO2/p]
Reference emissions to calculate emission reduction in HPU as a result of
reduction in hydrogen demand in HCU during a given time period p.
[tCO2/p]
Project emissions to calculate emission reduction in HPU as a result of
reduction in hydrogen demand in HCU during a given time period p.
[tCO2/p]Reference emissions to calculate emission reductions in HPU as a result of
improved efficiency of hydrogen production during a given time period p.
[tCO2/p]
Project emissions to calculate emission reductions in HPU as a result of
improved efficiency of hydrogen production during a given time period p.
[tCO2/p]18

JCM_ID_F_PM_ver01.0

I. Data and parameters fixed ex ante
The source of each data and parameter fixed ex ante is listed as below.
Parameter
FCHCUR,i,d

Description of data
Daily consumption of fossil fuel type i

SourcePlant-specific record.

on day d during the historical three-year
period at reactor heater in HCU. [massor volume unit]
NCVi

Net calorific value of fossil fuel type i.
[GJ/mass or volume unit]

FIHCUR,d

Daily feed input in day d during the

In the order of preference:a) values provided by thefuel supplier;b) measurement by the
project participants;c) regional or national
default values;d) IPCC default values
provided in table 1.2 of
Ch.1 Vol.2 of 2006
IPCC Guidelines on
National
GHG
Inventories.
Plant-specific record.

historical period in HCU reactor. [massor volume unit]EFi

CO2 emission factor of fossil fuel i.
[tCO2/GJ]FIHCUD,dDaily feed input in day d during the

In the order of preference:a) values provided by thefuel supplier;b) measurement by the
project participants;c) regional or national
default values;d) IPCC default values
provided in table 1.4 of
Ch.1 Vol.2 of 2006
IPCC Guidelines on
National
GHG
Inventories.
Plant-specific record.

historical period at debutanizer in HCU.
[mass or volume unit]
FCHCUD,i,d

Daily consumption of fossil fuel type ion day d during the historical three-year
period in HCU debutanizer reboiler.
[mass or volume unit]

19

Plant-specific record.

JCM_ID_F_PM_ver01.0

HCHCU,dDaily hydrogen consumption at HCU on

Plant-specific record.

day d during the historical three-year
period. [Nm3]
HPHPU,dDaily hydrogen production at HPU on

Plant-specific record.

day d during the historical three-year
period. [Nm3]
FCHPU,i,dDaily consumption of fossil fuel type i

Plant-specific record.

on day d during the historical three-year
period in HPU. [mass or volume unit]
a, b, c, d, e, f, g, hParameters derived as a result of linear
regression analyses.

20

Calculated according to theprocedure
described
insection F2.