CHEMICAL ENGINEERING TRANSACTIONS  
 

VOL. 81, 2020 

A publication of 

 

The Italian Association 
of Chemical Engineering 
Online at www.cetjournal.it 

Guest Editors: Petar S. Varbanov, Qiuwang Wang, Min Zeng, Panos Seferlis, Ting Ma, Jiří J. Klemeš 

Copyright © 2020, AIDIC Servizi S.r.l. 

ISBN 978-88-95608-79-2; ISSN 2283-9216 

Energy and Carbon Emission Optimisation 

of Coal to Syngas Process 

Yitong Gao, Guilian Liu* 

School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi Province, China 

guilianliui@mail.xjtu.edu.cn 

Coal gasification to syngas is a common technique for coal utilization and consumes large amount of energy. 

The design and operation of gasifier, washing column and heat exchangers affect the energy consumption and 

carbon emission of the whole system. In this work, a coal to syngas process is simulated by Aspen Plus software. 

Based on the simulation results, the integration among the coal gasification, shift process and rectisol process 

are analysed; the heat exchanger network (HEN) is optimised to minimize the energy consumption and the 

carbon dioxide emission. The utility consumption is reduced by 17.4 %, and the emission of CO2 is reduced by 

5.1 %. 

1. Introduction 

Syngas is an important intermediate product in the application of coal and produced through coal gasification. 

Its main components are carbon monoxide and hydrogen, and can be used to produce methanol, butanoctanol, 

ethylene glycol, ammonia, hydrogen, etc. Compared with the direct utilization of coal, coal gasification to syngas 

is an efficient and more environmentally friendly way to utilize coal, and can improve its utilization value. 

In the process of coal to syngas, large amount of energy is consumed. Taking Shanghai Coking Co., Ltd. as an 

example, the energy consumption of coal-based syngas is 4.216×107 kJ/t syngas (Zhang, 2011). In the 

production process, the main feed stream, coal-water slurry (cold stream) need to be heated, while other process 

streams (hot streams) require to be cooled. In order to reduce the energy consumption as much as possible, it 

is necessary to optimise the HEN composed by these hot and cold streams. Along with this, the minimum carbon 

dioxide emissions can be achieved.  

For coal gasification, Wen and Chaung (1979) developed a mathematical model to simulate the Texaco gasifier 

using coal-water slurries as feed material. Zhang et al. (2014) proposed an Aspen Plus based coal gasification 

model, in which the gasifier was simulated by two blocks. For the separation of sour gas in the rectisol process, 

two configurations of single-stage rectisol wash and two-stage configurations are analysed and simulated in 

Aspen Plus by Sun et al. (2013). Both of them can fulfil the separation requirement, while have different power 

and other energy demands. Linnhoff and Flower (1978) proposed a two-stage approach to solve the problem of 

HENs. In the first stage, the preliminary network with the maximum heat recovery is generated. In the second 

stage, the most satisfactory network is obtained based on the evolution starting from the preliminary network. 

Tan et al. (2015) evaluated the utilization of energy and carbon emission of a typical Texaco coal gasification 

process. Pan et al. (2018) built a complex mixed integer nonlinear programming (MINLP) to study the heat 

transfer intensification in HEN retrofitting; details of exchanger geometry, stream bypassing and splitting, limited 

minimum temperature difference (LMTD) and its correction, temperature-variation of properties and pressure 

drops are considered. Jiang et al. (2018) introduced the performance simulation into HEN retrofit model to 

reassess the performance of reused heat exchange units. Jiang et al. (2020) proposed a multiple objective 

optimisation model with energy, economic, environmental and engineering quantity indexes considered in the 

HEN retrofit. 

Although many literatures have studied the HEN optimisation of coal gasification process, the three sub-

processes are evaluated and optimised independently. There is no report on the evaluation and optimisation 

with these sub-processes taken as a whole. This work aims to study the integration of three sub-processes of a 

 
 
 
 
 
 
 
 
 
 
                                                                                                                                                                 DOI: 10.3303/CET2081002 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Paper Received: 26/03/2020; Revised: 22 April 2020; Accepted: 24/04/2020 
Please cite this article as: Gao Y., Liu G., 2020, Energy and Carbon Emission Optimisation of Coal to Syngas Process, Chemical Engineering 
Transactions, 81, 7-12  DOI:10.3303/CET2081002 
  

7



coal to syngas process of China and minimize its energy consumption. Aspen Plus will be used to simulate this 

process. Then, the minimum energy consumption will be identified according to the simulation results and Pinch 

Technique. At last, the HENs of three sub-processes are integrated to achieve the minimum energy 

consumption, as well as the minimum carbon dioxide emission. 

2. Simulation of coal to syngas process 

Coal to syngas process includes three sub-processes, coal gasification, water-gas shift process and rectisol 

process. Gasification process has three sections, pretreatment, gasification and grey water treatment. In this 

process, coal or coal char and gasification agent (air or oxygen) are partially oxidized at high temperature, to 

convert them into crude gas. Crude gas mainly contains CO, H2 and H2O, a small amount of H2S and COS. It 

is sent to the Water-Gas Shift Reactor (WGSR) of the water-gas shift unit, where CO reacts with H2 to generate 

CO2. The shifted gas is processed in the rectisol unit to remove impurities, such as CO2 and H2S, and obtain 

the refined syngas. In the process, 5.21×108 kg/y coal is processed and 1.47×107 Nm3/y syngas is produced. 

The main parameters are shown in Table 1. The main flowsheet of this process is shown in Figure 1. 

Table 1:Main parameters of coal to syngas process 

Parameter Gasifier First shift reactor Second shift reactor Third shift reactor 
CO2 and H2S absorber 

(stage number is 60) 

T (ºC) 1,300 450 280 250 -30 4.5 

P (MPa) 6.5 6.15 6.04 5.97 5.45 5.56 

 

R102R101

COAL

WATER

S101

RAWGAS

ASH

E201

R201

E202

R202

E203

R203

E204
S201

SHIFTGAS

WATER

E301

T301-1

REFINED SYNGAS

E302E303E304

RICH METHANOL

F301F302

T302

NITROGEN

WASTE GAS WASTE GAS WATSE GAS

P301

E305

METHANOL

METHNOL

R101-Coal decomposition reactor          Pump-P301

R102-Gasifier

R201-First shift reactor                           Separators-S101 S201

R202-Second shift reactor

R203-Third shift reactor                         Flash Column-F301 F302

T302-Methanol regeneration column

CO2 and H2S absorber- T301-1  T301-2 T301-3 T301-4                 

Heat Exchangers- E201  E202  E203 E204  E301  E302  E303  E304  E305

OXYGEN

T301-2T301-3T301-4

 

Figure 1: Flowsheet of the coal to syngas process  

Based on this flowsheet, the simulation model is built by Aspen Plus 10. In this model, the gasifier is simulated 

by two reactors, one is RStoic (R101), the other is RGibbs (R102). Rsoic is a stoichiometric coefficient reactor 

with known reactants and products, and is used to simulate the coal decomposition reaction. The coal is 

assumed to decompose into elementary substance (C, S, H2, N2, O2 and Cl2) and ASH in this reactor. These 

intermediates are sent to the RGibbs reactor, in which the product composition is calculated based on the 

minimum Gibbs free energy of the reaction equilibrium. In the RGibbs reactor, the main reactions are shown by 

Eqs(1)-(9). 

2C+O2→2CO (1) 

2CO+O2→2CO2 (2) 

C+H2O→CO+H2 (3) 

C+CO2→2CO (4) 

8



CO+H2O→CO2+H2  (5) 

C+2H2→CH4 (6) 

C+O2→CO2  (7) 

2CO+O2→2CO2 (8) 

2H2+O2→2H2O (9) 

After ash is separated from the gasifier product, the raw gas is obtained and successively sent to the three shift 

reactors to convert part of CO into CO2 and H2 . The aim is to increase the content of H2 in syngas. The main 

reaction is shown by Eq(10). 

CO+H2O→CO2+H2 (10) 

Since the reaction is a strong exothermic reaction, a lot of heat is produced and can be used to generate steam. 

The shift gas is sent to the rectisol section, where low-temperature methanol is used as the absorbent to remove 

the impurities such as CO2 and H2S and obtain the refined syngas. Four Rad-Frac blocks are used to simulate 

the absorber, and are represented by the desulfurization part (T301-1) and decarbonization section (T301-2, 

T301-3, T301-4). 

3. Optimisation of the HEN 

3.1 Analysis of HEN 

The HEN of current process is shown in Figure 3. The energy is recovered in each sub-process, and  there is 

no heat exchange among three sub-processes. The hot utility consumption (HUC), cold utility consumption 

(CUC) and CO2 emission of each sub-process are shown in Table 2. The total HUC is 188,419.6 kW, and the 

CUC is 149,300.1 kW. 

Table 2:Utility consumption and CO2 emission data 

Name HUC 

(kW) 

CUC 

(kW) 

CO2 emission 

(kg/h) 

Min. HUC  

(kW) 

Saving 

potential (%) 

Min. CUC  

(kW) 

Saving 

potential (%) 

Gasification 161,848.3 29,972.8 38,381.3 128,466.4 20.62 0 0 

Shift 0 89,524.7 0 0 0 89,524.7 0 

Rectisol 26,571.3 29,802.6 148,649.1 8,011.3 69.85 11,231.4 62.3 

Total 188,419.6 149,300.1 187,030.4 136,477.7 27.57 100,756.1 32.5 

 

 

Figure 2: Comparison of Grand Composite Curve before and after optimisation 

Based on the simulation data, the Grand Composite Curves (GCC) of three sub-processes are plotted by Aspen 

Energy Analyzer, as shown in Figure 2. It can be identified that, the minimum HUC of the gasification sub-

process is 128,466.4 kW. The minimum CUC for of the shift sub-process is 91,605.8 kW. The minimum HUC 

and CUC of the rectisol sub-process is 8,011.3 kW and 11,231.4 kW. The detailed data and energy saving 

potential are shown by Table 2. 

-100.0

0.0

100.0

200.0

300.0

400.0

500.0

0 50 100 150 200

T
e
m

p
e
ra

tu
re

  
(℃

)

Enthalpy  (MW)

gasification

shift

rectisol

gasification opt

shift opt

rectisol opt

9



It can be seen from Figure 2, there is a large amount of heating demand in the gasification section and cooling 

demand in the shift section, and the temperature of the former is less than that of the latter. The hot stream of 

the shift section can be used to provide energy to the cold stream of the gasification section, and the redundant 

energy can be used to generate steam. 

3.2 Optimisation of the HEN 

In order to reduce energy consumption, the HEN is optimised based on the Pinch method. The optimal HEN is 

shown in Figure 4, and the HUC, CUC, GUC and CO2 emission of each sub-process is shown in Table 3. In 

Figure 2, the Grand Composite Curve of the HEN after the optimisation is compared with that before the 

optimisation. 

H1   55.9  45.0  

H2   1390.0  

H3   178.3  

H4   68.9   

H5  107.6  

H6   55.5  

H7   242.8  

H8  199.8  

H9   163.8  

H10   126.5  

H11   31.0  

H12   69.0  

H13   253.0  

H14   449.0  

H15   286.0  

H17   180.0  

H18   75.0  

H19   242.1  

H20   40.0  

H27   -4.6  

H28   -6.7  

H29   -0.9  

1386  

168.0  

45.0  

105.0  

45.0  

242.3  

178.3  

126.5  

68.9  

25.0  

59.1  

252.1  

258.0  

248.0  

75.0  

40.0  

239.0  

-12.7  

-50.0  

-50.0  

-30.0  

C1  25.2  

C2  25.3  

C3   40.0  

C4   25.0  

C5   105.6  

C6  239.0  

C7   -14.9  

C8   -48.4  

C9   -30.2  

50.0  

40.0  

49.4  

30.0  

152.4  

305.0  

0.0  

0.0  

25.0  

620.1 kW

E-2039

E-20533

350.3 kW

E-3009

10,923.4 kW

E-3017

12,019.7 kWE-4001

1,991.0 kW
E-4012

252.4 kW E-22020

1,826.8 kW
E-30032

4,904.7 kW
E-30051

1,864.9 kWE-30151

365.8 kW E-30210

69.9 kW E-40081

2,156.2 kW
E-20380

3,901.3 kW E-2101

8,239.5 kW

E-2102

6,158.4 kW

E-2103

9,508.1 kW

C
E-2107

4,640.4 kW
C

E-2108

1,659.5 kW

E-2109

22,518.3 kW

H16  251.0  180.0  
C

E-2105

7,626.6 kW
C

E-2106

4,589.0 kW

E-2112

24,610.4 kW

E-2104

4,762.1 kW

E-2110

3,071.0 kW
E-2111

381.0 kW
E-2201

4,380.3 kW
E-2203

1,351.8 kW
E-2204

15,736.3 kW
E-2205

8,334.2 kW
E-20101

1,840.9 kW
E-2018

518.4 kW

E-R20531

159,489.0 kW

E-2202

6,584.4 kW
E-2206

18,248.7 kW
E-2207

1,738.2 kW
GasificationShiftRectisol

C

C

C

C

C

C

C

C

C

C

C

C

C

C

C

C

C

C

C

C

C

C

H

H

H

H

H

H

 

Figure 3: HEN of the current process 

10



Through the comparison, it can be identified that both the HUC of gasification section and shift section are 

reduced. Although the CUC of the Rectisol section increases, it’s heating utility consumption decreases to zero. 

In the gasification section, there is a large amount of energy demand. However, the corresponding cold  

stream can only be heated by a furnace and cannot match with other hot streams, as it corresponds the 

gasification reaction (a strong endothermic reaction) and it is difficult to recover the reaction heat in the furnace. 

In the optimal HEN,  hot streams H4, H11 and H12 are matched with cold streams C7, C8 and C9. Most of the 

hot streams (H14, H15, H16, H19) in the shift section are used to produce steam (298.1 °C, 0.5 MPa). The total 

amount of the generated stream is 8.0 × 108 kg/y. 

H1   55.9  45.0  

H2   1390.0  

H3   178.3  

H4   68.9  

H5  107.6  

H6   55.5  

H7   243.0  

H8  199.8  

H9   163.8  

H10   126.5  

H11   30.8  

H12   69.0  

H13   253.0  

H14   449.0  

H15   286.0  

H17   180.0  

H18   75.0  

H19   242.1  

H20   40.0  

H27   -4.6  

H28   -6.7  

H29   -0.9  

1386  

168.0  

45.0  

105.0  

45.0  

242.3  

178.3  

126.5  

68.9  

25.0  

59.1  

252.1  

258.0  

248.0  

75.0  

40.0  

239.0  

-12.7  

-50.0  

-50.0  

-30.0  

C1  25.2  

C3  25.3  

C4   25.0  

C5   105.5  

C6  239.0  

C7   -14.9  

C8   -48.4  

C9   -30.2  

50.0  

35.3  

30.0  

151.2  

305.0  

0.0  

0.0  

25.0  

H16  251.0  180.0  

E-6

1,841.0 kW

E-2039

620.1 kW
E-20533

350.3
E-R20531

159,489.0 kW

10,807.4 kW

E-3009

E-4012

247.0 kW

E-3017

500.6 kW

E-22020

2,628.8 kW
E-30032

4,973.9 kW
E-30051

E-30151

332.9 kW
E-30210

67.7 kW

E-40081

340.9kW
E-20380

3,901.3 kW
E-2101

8,239.5 kW

E-2103

15,666.5 kWE-2104

4,762.1 kW

E-2109

28,836.9 kWE-5

C10   -21.4  25.0  

2,154.8 kW

E-2110

1,311.2 kW
E-2111

387.5 kW

E-2112

36,826.0 kW

E-2

3,744.0 kW

E-2201

636.3 kW

E-2202

6,500.7 kW

E-2203

E-2204

9,775.2 kW
E-2205

4,659.4 kW

5,961.1 kW

E-4

1,738.2 kW

3,674.7 kW

E-1

E-3

4,708.6 kW

S Heat exchanger for Generating  steam

C

C

C

C

C

C

1,869.6 kW

C

C

C

S

S

S

S

C

C

C

C

C

C

1,351.8 kW
E-2206

H

Gasification

Shift

RectisolNew Heat exchangers
 

Figure 4: Optimised  HEN 

 

11



Table 3:Utility consumption and CO2 emission data after optimisation 

Section HUC (kW) CUC (kW) GUC (kW) CO2 emission (kg/h) 

Gasification 159,489.0 15,415.1 174,904.1 37,821.8 

Shift 0 87,790.3 87,790.3 0 

Rectisol 0 16,422.8 16,422.8 139,625.1 

Total 159,489.0 119,628.1 279,117.1 177,473.8 

 

Under the condition of no extra heat exchangers is added, the integration of HEN is carried out among sections. 

The GUC is reduced by 17.4 %, and the CO2 emission is reduced by 5.1 %, as shown in Table 4. It can be seen 

that establishing the heat transfer among different sections is an effective way to reduce the energy consumption. 

Table 4: Reduction of utility consumption and CO2 emission 

Name HUC (%) CUC (%) GUC (%) CO2 emission (%) 

Gasification 1.5 48.6 8.8 1.5 

Shift 0 1.9 1.9 0 

Rectisol 100 44.9 70.9 6.1 

Total 15.4 15.8 17.4 5.1 

4. Conclusions 

In this paper, the coal to syngas process is simulated and optimised. With the HEN optimised and the heat-

exchange among three sections carried out, the utility consumption is reduced by 17.4 % and the emission of 

CO2 is reduced by 5.1 %. In this work, only the optimisation of HEN is considered. If the optimisation of shift 

reactors is considered together with the HEN integration, the energy consumption of the system can be reduced 

further. This will be studied in the future work. 

Acknowledgements 

Financial support provided by the National key research and development program of China (2017YFB0602603) 

are gratefully acknowledged. 

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