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Home > Volumes and issues > Volume 1, issue 2

Research on the maceral characteristics of Shenhua coal and efficient and directional direct coal liquefaction technology

Research Article

Open Access

Published: 12 September 2014

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International Journal of Coal Science & Technology Volume 1, 46-55, (2014)

Abstract

In this research, molecular structure models were developed respectively for Shenhua coal vitrinite concentrates (SDV) and inertinite concentrates (SDI), on the basis of information on constitutional unit of Shenhau coal and elemental analysis results obtained from 13C-NMR analysis characterization, FTIR analysis characterization, X-ray diffraction XRD and XPS analysis characterization. It can be observed from characterization data and molecular structure models that the structure of SDV and SDI is dominated by aromatic hydrocarbon, with aromaticity of SDI higher than that of SDV; SDV mainly consists of small molecule basic structure unit, while SDI is largely made from macromolecular structure unit. Based on bond-level parameters of the molecular model, the research found through the autoclave experiment that vitrinite liquefaction process goes under thermodynamics control and inertinite liquefaction process under dynamics control. The research developed an efficient directional direct coal liquefaction technology based on the maceral characteristics of Shenhua coal, which can effectively improve oil yield and lower gas yield.

1.Introduction

Generally, direct coal liquefaction process chooses coal as the single feedstock and aims to produce distillable liquids. This process lends itself to coal with low level of inertinite if maximum liquids production is a prerequisite for the selection of process route and appropriate reaction conditions in a reaction system. China Coal Research Institute conducted a study on properties of Chinese coal for direct liquefaction (Shu and Xu 1997) and selected 15 types of coals suitable for direct liquefaction, with inertinite content of the top 10 all less than 7 %. However, Shenhua coal maceral has higher inertinite content level, with some even more than 60 %, than that of any other coals in China or even in the world. Therefore, it is necessary to study the maceral structures of Shenhua coal and consequent differences of their liquefaction performance and then develop an efficient directional direct liquefaction technology based on the characteristics of Shenhua coal maceral.

2.Experimental

2.1 Sample preparation

Shenhua coal samples (SDR) were collected from Shangwan coal mine, Shendong, Inner Mongolia. The raw coal was prepared by hand and a drifting process to obtain vitrinite concentrates (SDV) and inertinite concentrates (SDI). Industrial analysis and elemental analysis of Shenhua coal, vitrinite concentrates and inertinite concentrates are shown in Table 1, as well as petrographical analysis in Table 2.

Table 1 Proximate and ultimate analysis of coal samples

Sample

Proximate analysis (w %)

Ultimate analysis (Wdaf %)

M ad

A d

V daf

C

H

N

S

O*

SDR

8.45

17.03

38.19

79.29

4.30

0.86

0.47

15.08

SDI

10.96

5.27

30.59

82.12

3.79

0.86

0.40

12.83

SDV

10.60

2.27

40.47

80.55

4.72

1.06

0.41

13.26

Table 2 Petrographical analysis %

Sample

Vitrinite

Inertinite

Exinite

R max

SDV

82.2

16.4

0.7

 

SDR

42.5

52.3

0.8

0.519

SDI

17.8

80.1

0.5

 

2.2 13C-NMR analysis characterization

The research adopted an NMR AVANCE400 superconducting spectrometer produced by Bruker company, with a solid double resonance probe, and a 4 mm ZrO2 rotor; magic-angle speed was set at 8,000 Hz, resonance frequency 100.13 MHz, the sampling time 0.05 s, pulse wide 4 μs, cyclic delay time 5 s, and 7,000 scan times. The cross polarization (CP) technology was applied as well.

2.3 FTIR analysis characterization

Instrument type: US Nicolet 6700 FT-IR; test conditions: wavelength range: 4,000–400 cm−1, accuracy: wave number ≤0.1/cm; transmittance ≤0.1, resolution: 4 cm−1, number of scans: 32 times.

2.4 X-ray diffraction XRD

Instrument type: D/MAX 2550 VB/PC, manufacturer: Japan RIGAKU. Test method: wavelength: 1.54056 angstrom; copper target: 40 kV, 100 mA; scanning speed: 12 degrees/min, step: 0.02 degree.

2.5 XPS analysis characterization

XPS measurement is conducted with ESCALAB250 X-ray photoelectron spectroscopy. Use AlKa anode, and the power is 200 W. The full scan penetration power is 150 eV, step length 0.5 eV; narrow scan penetration power 60 eV, step 0.05 eV. Basic vacuum is 10−7 Pa. Take C1s (284.6 eV) as the calibration standard. The ordinate in the XPS spectra represents electronic counting, while the abscissa shows the electron binding energy (Binding Energy, B.E.).

2.6 Experiment of coal liquefaction reaction in autoclave

The coal liquefaction experiment used 0.5 L stirred autoclave, and the standard experimental conditions are as follows: coal input is 28 g (dry coal), initial hydrogen pressure is 10.0 MPa, the mass ratio of solvent to the coal is 1.5:1, the catalyst is Fe2O3, the additive amount of Fe is 3 % of the mass of dry coal, sulfur is the co-catalyst, n(S)/n(Fe) = 2. Heating rate is 8 °C/min till the set reaction temperature is reached. After the reaction, the temperature in the autoclave drops to 200 °C within 20 min. Products out of the autoclave include two parts: gaseous phase products, the component of which is analyzed with gas chromatography, and liquid–solid mixture which gets Soxhlet extraction separation successively with n-hexane and then tetrahydrofuran, finding that n-hexane soluble substance is oil, n-hexane insoluble and THF-soluble substances consist of pre-asphaltene and asphaltene (for short, PPA), THF-insoluble substances contains unreacted coal and ash. Analytical extraction procedures can be seen in literature (Shu et al. 2003).

2.7 Bench-scale unit for continuous direct coal liquefaction experiment

The continuous direct coal liquefaction experiment used a small continuous bench-sacle unit (BSU) with daily handling capacity of 120 kg of dry coal. Ordinary process unit has a reaction system of two bubbling bed reactors in series, while the reaction system of Shenhua unit has two reactors in series equipped with a circulating pump at the bottom and a gas–liquid separator on the top (Shu 2009).

3.Results and discussions

3.1 Macromolecular structure model of SDV and SDI

13C-CP/MAS NMR analytical characterization, X-ray diffraction, FTIR analytical characterization, X-ray diffraction XRD, and XPS analytical characterization were applied to the sample.

13C-CP/MAS NMR peak-fitting spectra of Shendong Shangwan SDV and SDI are illustrated respectively in Figs. 1 and 2, with the structure parameters shown in Table 3.

Fig. 1
figure 1

13C-CP/MAS NMR spectra of Shenhua coal vitrinite

Fig. 2
figure 2

13C-CP/MAS NMR spectra of Shenhua coal inertinite

Table 3 Structure parameters of samples %

Sample

f a

f ca

f a

f Na

f Ha

f Pa

f Sa

f Ba

f al

f *al

f Hal

f Oal

SDV

67.96

6.49

61.47

27.39

34.09

8.77

10.43

8.18

32.03

16.76

12.60

2.68

SDI

76.71

9.24

67.47

28.5

38.97

7.15

5.49

15.87

23.29

7.05

13.38

2.86

It can be observed from Figs. 1 and 2, 13C spectra of Shendong coal obviously has two peaks, one chemical shift located at aliphatic carbon of 0–60 ppm and the other at aromatic area of 90–165 ppm. However, these two samples at the aromatic area are obviously larger than those at the aliphatic area, and the aliphatic area of inertinite group is obviously smaller than that of vitrinite group.

Aromaticity (fa) is an important parameter of coal structure. As can be seen from Table 5, aromaticity of inertinite is obviously higher than that of vitrinite. There is a big difference between inertinite at 67.47 % and vitrinit at 61.47 %. The comparison concludes that the biggest difference of aromatic carbon is caused by f ca (carbonyl), f Sa (alkylated aromatic) and f Ba (aromatic bridgehead). The vitrinite has more alkylated aromatic, while the inertinite has more aromatic bridgehead.

The ratio of aromatic bridgehead carbons to total ring carbons serves as an important parameter to research the macromolecular structure of coal, which can be used to calculate the size of aromatic clusters in coal structures. The types and number of aromatic structure units in the molecular structure of coal can be basically determined on the basis of this parameter. The hydrogen aromaticity is used to represent the concentration of aromatic hydrogen in coal structure, with its formula of calculation as below: Ha = (C/H)atom × f Ha . The values of Xb and Ha of these two samples are shown in Table 4.

Table 4 Coal-related structure parameters

Sample

X b

H a

SDV

0.154

2.29

SDI

0.307

2.67

As can be seen from the Xb values in Table 4, the ratios of aromatic bridgehead carbons to total ring carbons for SDV and SDI are very different. This indicates that these two coal samples have a big difference in macromolecular structure. The ratio of inertinite group is 0.307, much more than vitrinite group (0.154). With respect to Ha, the inertinite group is higher, indicating that its coal structure has more aromatic ring structures. Such result remains consistent with the result of X b.

The Fig. 3 illustrates the FTIR spectroscopic analysis spectra of SDV concentrates and SDI concentrates.

Fig. 3
figure 3

FTIR spectra of SDV and SD

The ratio of aliphatic hydrogen (Hal) and aromatic hydrogen (Har) in the coal serves as an important parameter to research the coal structure, and in general the ratio of 2,800–3,000 cm−1 aliphatic–CH stretching vibration absorption area to 700–900 cm−1 aromatic–CH bending vibration absorption area represents the proportion of aliphatic hydrogen to aromatic hydrogen. Peak-fitting information was obtained through peak-fitting analysis of the infrared spectra of two coal samples, and the relevant structure parameter is calculated with the information. See it in Table 5. As can be seen from Table 5, the value of Hal/Har of SDV is 2.18, much higher than that of SDI (1.36), which indicates the structure has more aliphatic structure; it can be seen through A2,800–3,000/A1,600 that SDI is much smaller than SDV, indicating there are more aromatic frame in its structures; the ratio of ν(CH2)/ν(CH3) leads to the conclusion that vitrinite and inertinite have more stretching vibration CH2. These all provide information for establishing macromolecular structure of coal.

Table 5 Relevant parameters of three samples of SDR, SDV and SDI

Sample

Calculation

SDV

SDI

Hal/Har

A2,800–3,000/A700–900

2.18

1.36

Aliphatics/aromatics

A2,800–3,000/A1,600

0.36

0.23

ν(CH2)/ν(CH3)

A2,926+2,854/A2,956+2,875

3.83

3.62

The XPS C1s spectra and peak-fitting graphs of SDV and SDI samples are illustrated respectively in Figs. 4 and 5. As can be seen from the figures, carbon has four forms in the coal surface structure. The peak 284.6 eV is attributable to aromatic unit and alkyl-substituted aromatic carbon (C–C, C–H); the peak 286.3 eV is attributable to phenolic carbon or ether carbon (C–O); the peak 287.5 eV is attributable to carbonyl (C=O) and the peak 289.0 eV belongs to carboxyl (COO–). Table 6 shows the XPS C1s results and distribution of samples.

Fig. 4
figure 4

C1s X-ray photoelectron spectroscopy of SDV

Fig. 5
figure 5

C1s X-ray photoelectron spectroscopy of SDI

Table 6 XPS C1s analysis of coal sample

B.E./eV

Carbon form

Content (Wmol %)

SDV

SDI

284.8

C–C,C–H

73.90

68.50

286.2

C–O

15.85

17.57

287.5

C=O

2.58

3.99

289.6

COO–

7.67

9.94

As can be seen from Table 6, the surface structure of SDI has less content of C–C, C–H, indicating less alkyl side chains. A part of alkyl side chains are transformed into phenolic hydroxyl group and ether linkage under the effect of fusainization, which leads to the relatively higher mass fraction of C–O in SDI.

The 5–40 XDR peak-fitting graphs for SDV and SDI samples are illustrated respectively in Figs. 6 and 7. XDR structure parameter is shown in Table 7.

Fig. 6
figure 6

5–40 XRD and peak-fitting graph of SDV sample

Fig. 7
figure 7

5–40 XRD and peak-fitting graph of SDI sample

Table 7 XRD structure parameters of SDV and SDI

Samples

2θ002 (°)

β 002

2θ γ (°)

θ100 (°)

d002 (Å)

d γ (°)

Lc (°)

La (°)

N c

f a

SDV

23.77

8.645

16.82, 10.64

42.65,10.77

3.74

5.27

9.81

16.19

2.62

0.52

SDI-1

24.86

6.924

17.88, 11.80

43.72, 9.38

3.58

4.96

12.27

18.66

3.43

0.55

Using the ACD/CNMR predictor combined with data in Table 1, the research established SDV and SDI structure models respectively, as illustrated in Figs. 8 and 9. A 13C NMR calculation of the structure models was carried out, the result of which fitted well with the experimental spectrum of the sample, as illustrated in Figs. 10 and 11.

Fig. 8
figure 8

Modified structural model of inertinite

Fig. 9
figure 9

Modified structural model of vitrinite

Fig. 10
figure 10

The comparison between calculated values and experimental values of inertinite 13C-NMR

Fig. 11
figure 11

The comparison between calculated values and experimental values of vitrinite 13C-NMR

3.2 Study on reactivity of vitrinite concentrates and inertinite concentrates

By using Dmol3 module of the Materials Studio software, the research did calculations of the structure of the SDV molecular model which had been optimized through molecular dynamics and molecular mechanics calculations, and obtained its bond order, bond length, and electronic layouts charge number. Bond order distribution of SDV is shown in Table 8.

Table 8 SDV bond order distribution

Bond name

Bond order

Bond name

Bond order

Bond name

Bond order

O192–C209

0.860

C137–C136

0.991

C74–C82

1.272

C46–O44

0.885

C136–C133

0.991

C97–C96

1.274

C107–C110

0.929

C28–C31

0.991

C15–C14

1.276

O205–C180

0.933

C209–C57

0.992

C149–C147

1.277

C47–C45

0.938

C58–C57

0.992

C146–C140

1.278

C106–C187

0.938

C67–C66

0.994

C33–C32

1.282

C28–C26

0.940

C135–C134

0.995

C62–C61

1.286

C114–C110

0.943

C211–C172

0.995

C119–C118

1.288

C123–C120

0.944

C168–C167

0.995

C144–C143

1.289

C57–C54

0.944

C43–C14

0.996

C39–C37

1.291

C210–C108

0.946

C162–C157

0.996

C64–C62

1.293

C213–C186

0.947

C102–C100

0.997

C180–C179

1.293

C115–C114

0.948

C20–O190

0.997

C160–C159

1.295

C59–C55

0.948

C36–C35

1.000

C175–C111

1.296

C122–C121

0.949

C120–C25

1.000

C60–C63

1.299

C200–C199

0.950

C9–C191

1.000

C131–C130

1.300

C102–C195

0.950

O44–C15

1.001

C88–C85

1.302

C167–C164

0.950

C216–C106

1.001

C68–C67

1.302

C27–C26

0.951

O152–C149

1.002

C85–C84

1.303

C56–C55

0.954

C60–C59

1.003

C182–C180

1.304

C187–C186

0.954

C203–C129

1.004

C181–C68

1.304

C78–C115

0.957

C132–C218

1.005

C172–C171

1.310

C106–C98

0.957

C191–C8

1.008

C132–C119

1.314

C45–C46

0.958

C4–C3

1.009

C58–C64

1.314

C92–C89

0.960

O188–C127

1.012

C35–C34

1.314

C200–C71

0.962

C50–C47

1.019

C60–C58

1.316

C163–C162

0.963

O189–C85

1.021

C149–C148

1.316

C215–C210

0.963

O192–C10

1.027

C179–C67

1.317

C55–C54

0.963

O185–C63

1.028

C35–C40

1.318

O190–C41

0.964

O69–C64

1.028

C177–C112

1.322

C153–O152

0.965

C104–C23

1.030

C84–C83

1.323

C92–C91

0.965

O202–C175

1.033

C182–C181

1.325

C84–C73

0.967

O206–C130

1.035

C14–C13

1.327

C198–C102

0.967

O183–C24

1.037

C170–C169

1.330

C91–C90

0.967

C22–C27

1.043

C112–C111

1.332

C215–C177

0.967

O166–C148

1.054

C38–C37

1.332

C165–C164

0.968

C62–C68

1.054

C88–C87

1.334

C217–C215

0.968

C13–C56

1.059

C133–C131

1.335

C73–C74

0.969

O184–C179

1.062

C87–C86

1.335

C199–C210

0.969

O201–C182

1.063

C15–C8

1.336

C111–C109

0.970

O105–C16

1.072

C61–C63

1.337

C204–C198

0.970

C79–C119

1.077

C171–C169

1.338

C11–C54

0.970

C6–C5

1.089

C130–C118

1.343

C122–C120

0.971

C129–N128

1.117

C133–C132

1.345

C126–C124

0.971

C140–C139

1.149

C176–C175

1.345

C200–C193

0.973

C135–C138

1.160

C23–C22

1.351

C48–C46

0.974

C141–C137

1.160

C178–C177

1.355

C108–C107

0.974

N128–C127

1.182

C40–C38

1.357

C77–C107

0.975

C7–C5

1.188

C147–C146

1.358

C45–C43

0.975

C157–C155

1.192

C25–C24

1.359

C198–C197

0.975

C19–C22

1.193

C11–C10

1.369

C195–C194

0.975

C6–C2

1.194

C29–C33

1.373

C72–C71

0.975

C16–C20

1.197

C9–C6

1.382

C65–C66

0.976

C80–C79

1.198

C5–C4

1.384

C186–C94

0.977

C13–C12

1.199

C79–C78

1.389

C125–C122

0.977

C30–C31

1.202

C20–C18

1.389

C212–C211

0.978

C97–C95

1.204

C145–C144

1.389

C193–C53

0.979

C100–C97

1.207

C17–C16

1.390

C33–C36

0.979

C50–C49

1.209

C178–C176

1.393

C165–C145

0.980

C155–C154

1.212

C96–C50

1.394

C196–C194

0.980

C98–C95

1.213

C173–C170

1.395

C90–C87

0.981

C17–C21

1.215

C34–C39

1.397

C214–C144

0.981

C126–C125

1.216

C153–C151

1.401

C124–C123

0.981

C7–C12

1.217

C74–C72

1.405

C1–C3

0.981

C76–C75

1.219

C101–C100

1.409

C108–C112

0.983

C21–C19

1.219

C31–C41

1.411

C113–C109

0.983

C154–C151

1.219

C75–C77

1.412

C71–C37

0.984

C25–C21

1.222

N174–C172

1.413

C89–C88

0.984

C19–C18

1.227

C86–C83

1.416

C204–C103

0.984

C30–C2

1.230

C94–C49

1.420

C121–C17

0.984

C95–C94

1.231

N174–C173

1.421

C115–C117

0.984

C141–C140

1.231

C1–C32

1.430

C53–C39

0.984

C76–C80

1.232

C127–C125

1.436

C169–C165

0.984

C9–C41

1.234

C82–C81

1.451

C110–C109

0.985

C4–C10

1.234

C161–C160

1.451

C103–C101

0.985

C81–C80

1.235

C157–C156

1.455

C151–C150

0.986

C156–C153

1.237

C99–C98

1.461

C199–C75

0.986

C24–C23

1.237

C142–C143

1.467

C218–C81

0.986

C12–C11

1.238

C159–C158

1.471

C197–C196

0.987

C72–C76

1.238

C129–C126

1.475

C42–C29

0.987

C30–C29

1.240

C137–C135

1.501

C42–C26

0.987

C1–C2

1.246

O70–C56

1.810

C49–C48

0.988

C78–C77

1.250

O93–C27

1.843

C146–C164

0.988

C139–C138

1.253

O52–C36

1.859

C18–C28

0.988

C101–C99

1.254

O51–C47

1.877

C61–C65

0.989

C148–C141

1.254

O208–C92

1.877

C118–C117

0.989

C154–C158

1.255

O116–C114

1.903

C150–C147

0.989

C139–C145

1.255

O207–C187

1.911

C73–C38

0.990

C161–C155

1.265

C8–C7

1.269

C134–C131

0.990

C138–C142

1.268

C171–C214

0.990

The bond order parameters of molecular structure may determine the active sites where chemical bonds break down, thereby to infer the relations between molecular structure and its pyrolysis. According to the data in Table 8 and in combination of analyzing calculated bond length and electronic layouts number, SDI bond with order parameters smaller than one breaks down under a certain temperature. It is concluded that in SDV molecular structure, weak bridge bonds, ether bond, aliphatic side chain, hydrogenated aromatic ring, carbonyl functional groups and the distorted parts of aromatic layer are more likely to break down, producing CO, CO2, CH4, monocyclic aromatic hydrocarbons and aliphatic hydrocarbons with two carbon atoms, and first-level fragments with larger molecular weights. SDV releases by pyrolysis a large number of small molecular hydrocarbons, and the macromolecular structure of coal is basically destroyed. See SDV active sites and pyrolysis in Fig. 12.

Fig. 12
figure 12

Diagram on SDV active sites during the pyrolysis and the pyrolysis process

Using Dmol3 module of the Materials Studio software, the research made calculations of the structure of the SDI molecular model, which has been optimized through molecular dynamics and molecular mechanics calculations, and obtained its bond order, bond length, and electronic layouts charge number. Bond order distribution of SDI can be seen in Table 9.

Table 9 Inertinite bond order distribution

Bond name

Bond order

Bond name

Bond order

Bond name

Bond order

O105–C97

0.922

C8–C6

1.036

C191–C189

1.287

O160–C4

0.926

C168–C130

1.038

C46–C45

1.288

C28–O221

0.932

C117–C90

1.039

C152–C150

1.288

C79–C117

0.933

O157–C52

1.051

C14–C11

1.288

C9–C8

0.942

C10–C7

1.054

C53–C52

1.288

O160–C77

0.942

C85–C98

1.077

C181–C179

1.289

C54–C22

0.953

C25–C23

1.080

C71–C69

1.295

C55–C74

0.956

C15–C14

1.081

C63–C62

1.295

C79–C78

0.956

C34–C45

1.084

C114–C112

1.298

C153–C132

0.963

C43–C27

1.089

C83–C82

1.299

C176–C174

0.965

O120–C95

1.089

C145–C152

1.299

O125–C122

0.968

C76–C60

1.089

C51–C33

1.300

C109–C108

0.968

C29–C27

1.116

C46–C48

1.301

C55–C54

0.969

C33–C31

1.118

C144–C151

1.301

O221–C68

0.969

O184–C172

1.118

C94–C102

1.304

O124–C69

0.973

C56–C24

1.132

C31–C40

1.304

C175–C174

0.975

C94–C92

1.133

C138–C123

1.306

C178–C175

0.975

C179–C177

1.134

C75–C74

1.308

O125–C61

0.976

C90–C89

1.138

C141–C139

1.309

C24–C22

0.978

O163–C161

1.146

C16–C10

1.313

C138–C154

0.979

C34–C32

1.148

C203–C202

1.314

C154–C112

0.979

C171–C181

1.149

C87–C85

1.316

C73–C70

0.979

C26–C23

1.153

C113–C112

1.321

C159–C5

0.980

C194–C191

1.156

C10–C11

1.322

C55–C57

0.981

C3–C2

1.157

C142–C141

1.323

C104–C103

0.982

C95–C93

1.157

C52–C51

1.325

C11–C9

0.982

C179–C178

1.158

C17–C14

1.325

C75–C73

0.982

C82–C115

1.158

C138–C137

1.325

C26–C44

0.984

C28–C25

1.159

C71–C70

1.326

C108–C127

0.984

C192–C189

1.165

C53–C43

1.327

C155–C153

0.985

C116–C114

1.167

C62–C60

1.335

C123–C121

0.985

C97–C96

1.167

C100–C98

1.337

C106–O105

0.986

C150–C149

1.168

C173–C3

1.337

C121–C113

0.988

C145–C144

1.169

C173–C171

1.338

C177–C176

0.989

C189–C187

1.170

C139–C75

1.342

C121–C63

0.990

C170–C180

1.176

C70–C57

1.348

O219–C213

0.990

C131–N129

1.181

C69–C68

1.349

C134–C147

0.992

C6–C3

1.183

C201–C199

1.349

C154–C153

0.994

C171–C170

1.183

C111–C113

1.350

C166–C44

0.994

C191–C190

1.191

C7–C6

1.350

C44–C158

0.996

C188–C186

1.194

C48–C47

1.351

C110–C100

0.996

C133–C144

1.194

C122–C123

1.359

C139–C126

0.996

C210–C149

1.195

C63–C61

1.359

C108–C99

0.996

C86–C84

1.197

C50–C49

1.360

C126–C64

0.996

C36–C35

1.200

C81–C80

1.361

C204–C198

0.996

C58–C66

1.201

C136–C135

1.361

C133–C132

0.997

C4–C2

1.202

C137–C136

1.363

C209–C196

0.997

C84–C82

1.212

C101–C99

1.371

C132–C116

0.997

C127–C130

1.213

C41–C39

1.374

C78–C111

0.998

C59–C58

1.213

C196–C202

1.375

C216–C215

0.999

C88–C114

1.214

C39–C38

1.380

C106–C104

0.999

C195–C193

1.214

C36–C34

1.392

C21–C20

1.000

C187–C186

1.214

C213–C210

1.393

C109–C83

1.000

C60–C58

1.214

C66–C64

1.399

C135–C161

1.001

C7–C5

1.215

C18–C17

1.401

C78–C62

1.001

C195–C194

1.216

C130–C128

1.410

C215–C48

1.002

C146–C145

1.218

C97–C95

1.410

C206–C192

1.002

C93–C101

1.219

C5–C4

1.411

C212–C137

1.002

C148–C147

1.219

C49–C47

1.411

C207–C197

1.002

C43–C35

1.219

C81–C103

1.412

C159–C76

1.003

C61–C59

1.220

C197–C203

1.413

C174–C188

1.003

O185–C181

1.220

C199–C198

1.417

C1–C87

1.004

C214–C213

1.220

C18–C16

1.418

C20–C22

1.004

C65–C64

1.227

C67–C65

1.424

C209–C176

1.004

C96–C94

1.227

C25–C24

1.430

C72–C71

1.005

C59–C67

1.231

C190–C188

1.430

C1–C110

1.006

C89–C88

1.231

C40–C38

1.431

C158–C53

1.007

C91–C86

1.233

N140–C74

1.438

C155–C151

1.007

C35–C33

1.235

C147–C133

1.450

C29–C37

1.007

C84–C88

1.236

C80–C102

1.454

C218–C214

1.008

C32–C41

1.241

C27–C26

1.454

C205–C202

1.009

C50–C45

1.244

C91–C90

1.455

C79–C77

1.010

C198–C194

1.245

C142–N140

1.455

C168–C101

1.011

C32–C31

1.248

C23–C21

1.461

C67–C72

1.011

C68–C56

1.248

C214–C211

1.463

C134–C115

1.011

C186–C196

1.249

C201–C200

1.470

C73–C65

1.011

C187–C197

1.249

C116–C115

1.484

C12–C9

1.012

C103–C96

1.249

C180–C177

1.491

C166–C30

1.012

C93–C92

1.250

C127–C131

1.493

C167–C51

1.013

C99–C98

1.250

C193–C192

1.494

C37–C36

1.013

C211–C150

1.251

C29–C28

1.500

C21–C30

1.014

C128–N129

1.254

C148–C146

1.563

C13–C12

1.016

C2–C172

1.259

O182–C178

1.576

C208–C190

1.020

C135–C122

1.265

C76–C77

1.589

C183–C180

1.021

C172–C170

1.267

C15–C13

1.768

C42–C41

1.023

C85–C83

1.270

O156–C42

1.802

C164–C152

1.029

C87–C86

1.271

O169–C168

1.812

C50–C42

1.032

C57–C56

1.273

O118–C117

1.839

O143–C141

1.034

C200–C195

1.274

O162–C161

1.847

O217–C46

1.035

C92–C100

1.275

O19–C8

1.858

O220–C210

1.035

C111–C89

1.277

O119–C54

1.945

O165–C66

1.035

C151–C149

1.285

O107–C106

1.956

According to the data in Table 9, in combination of analyzing calculated bond length and electronic layouts number, SDI with bond order parameters smaller than one breaks down under a certain temperature. SDI bond breaking occurs in the location of hydrogenated aromatic ring and carbonyl functional group, producing CH4, CO2, bicyclic aromatics and first-level fragments with larger molecular weights. SDV and SDI vary greatly in this phase of pyrolysis. Bond breaking points of SDV are far more than that of SDI; SDV releases through pyrolysis large amounts of small molecule hydrocarbons, leading to coal macromolecular structure basically being destroyed, while SDI releases less small molecules and obtains through pyrolysis first-level fragments with larger molecular weights. See SDI active sites and the schematic representation of pyrolysis in Fig. 13.

Fig. 13
figure 13

Diagram on SDI active sites during the pyrolysis and the pyrolysis process

The analysis of maceral bond order parameters demonstrates that liquefaction mechanisms for SDV and SDI are different. For SDV, it produces pyrolysis products with small molecular weights and has a high conversion rate. To improve the yield rate of its liquefaction is to quickly stabilize active free radicals and prevent the subsequent secondary pyrolysis. The whole process is subject to thermodynamics control.

For SDI, it produces pyrolysis products with large molecular weights. To improve the yield rate of its liquefaction is to increase hydrocracking activity and severity of its macromolecule products. The whole process is subject to dynamics control.

3.3 Autoclave experiment of SDV and SDI

To prove the difference of liquefaction reaction mechanisms between SDI and SDV, hydrogenation liquefaction experiments in an autoclave were conducted respectively. Autoclave heating rate remained at 8 °C/min, and the temperature was kept constant when it reached 455 °C. The results are shown in Table 10.

Table 10 Shenhua coal maceral liquefaction experiment results

Reaction time (min)

SDI

SDV

Oil yield (%)

Difference

Gas yield (%)

Difference

Oil yield (%)

Difference

Gas yield (%)

Difference

0

43.03

 

7.45

 

61.55

 

6.51

 

30

51.32

8.29

9.51

2.06

73.16

11.61

9.01

2.50

60

58.95

7.63

10.76

1.25

74.05

0.89

12.95

3.94

As can be seen from Table 10, when it reaches the reaction temperature with a constant heating rate, i.e. the reaction time is “0”, SDI oil yield (hexane solubles) is 43.03 %, rate of gasification is 7.45 %; in the same conditions, SDV oil yield goes up to 61.55 %, 18.52 % points higher than SDI, which indicates that small molecule structure are dominant in the molecular structure of SDV, and most of its pyrolysis products are small-molecule ones.

At the initial stage of the reaction, when the reaction is at its 30 min, SDI oil yield improves by 8.29 %, rate of gasification by 2.09 %; while for SDV within the same amount of time, the oil yield increases by 11.61 %, and rate of gasification is equal to that of SDI. The reason behind this is there is mainly pyrolysis happening in the initial stage of the reaction, i.e. the pyrolysis process which has not been finished in the heating process will continue in this stage. This experiment also shows that SDV is dominated by small molecule structure and its liquefaction is subject to thermodynamics control.

In the middle and late stage of the reaction, between 30 and 60 min of the reaction time, SDI oil yield improves by 7.63 %, reaching nearly 59 %, while rate of gasification increases only by 1.25 %; meanwhile, SDV oil yield increases only by 0.89 %, while rate of gasification is up 3.94 %, much higher than that of SDI.

The experiment results further demonstrate that SDI pyrolysis products have large molecular weights; the way to improve the yield rate of its liquefaction is therefore to increase the hydrocracking activity and severity of its macromolecule products. SDI liquefaction process is subject to dynamics control. On the other hand, SDV pyrolysis products have small molecular weights; the target products will have secondary pyrolysis and rate of gasification increases as reaction time and severity increases.

3.4 Efficient directional direct coal liquefaction technology fit for the macerals characteristics of Shenhua coal

Through bond order parameter analysis of molecular structure of SDV and SDI and with results of autoclave hydrogenation liquefaction experiment, the research has proved that liquefaction mechanisms of SDV and SDI are different.

As vitrinite and inertinite have different liquefaction mechanisms, and different products come from different processes, so there will inevitably be increase of gas yield if general direct coal liquefaction process is applied to Shenhua coal, which has a high content of inertinite.

Process that suits the macerals characteristics of Shenhua coal should be as follows: For vitrinite, a shorter reaction time is appropriate; reaction mechanism is mainly pyrolysis; there must be adequate active hydrogen to prevent the condensation of radical fragments of small molecules produced by pyrolysis. As regards inertinite, it requires longer reaction time and higher severity of the reaction, and the reaction mechanism is mainly hydrocracking, hence the need for high-activity catalysts and high-activity hydrogen-donating solvents.

If vitrinite and inertinite of Shenhua coal can be separated respectively and the subsequent two hydrogenation processes be set, one for vitrinite, the other for inertinite, then the problem of high rate of gasification caused by different reaction mechanisms of vitrinite and inertinite can be properly addressed. But it is industrially impossible.

Process that suits the maceral characteristics of Shenhua coal is to control the reaction time of SDV and SDI in the same reaction system to avoid secondary pyrolysis of SDV light products.

Shenhua direct coal liquefaction process is bespoke developed on the basis of the maceral characteristics of Shenhua coal. It sets a gas–liquid separator in the upper part of the reactor, thus light oils produced from one-way pyrolysis of vitrinite can be separated in time at the top of the reactor to prevent secondary pyrolysis thanks to short one-way reaction time of forced circulation reactor. Macromolecule fragments produced from inertinite pyrolysis will again be put into the reactor by circulating pump for catalytic hydrogenation in order to obtain more liquid products. The whole process realized efficient, directional, and effective conversion of the vitrinite and inertinite of Shenhua coal.

Under the same reaction conditions, the research conducted a comparative test on Shenhua coal with a small 0.12 t/d direct coal liquefaction continuous unit (BSU). The results are shown in Table 11, and the data of which clearly demonstrates that gas yield of Shenhua process is significantly lower than that of foreign process as Shenhua process avoids the secondary pyrolysis of generated oil, hence a significantly higher oil yield compared to that of foreign process; meanwhile, Shenhua process extends the reaction time of heavy oil and bitumen whilst avoiding the secondary pyrolysis of generated oil, so the conversion rate of Shenhua process is higher than that of foreign process.

Table 11 Results of a comparative test on common process and Shenhua process applied on Shenhua coal

Project

Foreign process

Shenhua process

P (MPa)

19

19

T (°C)

455

455

Conversion rate (%)

89.69

91.22

Product yield (%)

 Gas generated (%)

17.89

13.11

 Oil products (%)

52.56

57.42

4.Conclusions

  1. (1)

    From the constructed SDV and SDI molecular structure models, it can be seen that SDV is largely made of small molecules, while SDI is made of macromolecules.

  2. (2)

    According to data about SDV and SDI molecular model bond order, bond length and electronic layouts number, they are significantly different during pyrolysis, bond breaking points of SDV are far more than that of SDI; SDV releases through pyrolysis large amounts of small molecule hydrocarbons with its macromolecular structure basically being destroyed, while SDI doesn’t release through pyrolysis so much small molecules as fragments with larger molecular weights.

  3. (3)

    Findings of the autoclave experiment show that SDI pyrolysis products have large molecular weights. The way to improve the yield of its liquefaction is to increase hydrocracking activity and severity of its macromolecule products. SDI liquefaction process is subject to dynamics control. Since the molecular weights of SDV pyrolysis products are relatively small, the target products will have secondary pyrolysis as reaction time and severity increases, leading to a consequent increase in gas yield. Vitrinite liquefaction can be categorized as the process of thermodynamics control.

  4. (4)

    Shenhua direct coal liquefaction process that is developed on the basis of the maceral characteristics of Shenhua coal can effectively reduce its gas yield and improve oil yield.

References

[1] Lin HL, Li KJ, Zhang XW, Li YL (2013a) Study on Shendong Shangwan coal and the structure characteristics of its maceral concentrates. Coal Convers 36(2):1–5
[2] Lin HL, Li KJ, Zhang XW (2013b) Structural characteristics and model constructing of inertinite concentrates of Shangwan coal. J Fuel Chem Technol 41(6):641–648
[3] Shu GP (2009) History and significance of the development of Shenhua coal direct liquefaction process. Shenhua Sci Technol 27(1):78–82
[4] Shu GP, Xu ZG (1997) Direct coal liquefaction technology. Chin Coal 10:21–24
[5] Shu GP, Shi ShD, Li KJ (2003) Coal liquefaction technology. Coal Industry Press, Beijing, pp 97–98

Funding

Supported by the National Engineering Laboratory of Direct Coal Liquefaction (MZY-16).

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Cite this article

Shu, G., Zhang, Y. Research on the maceral characteristics of Shenhua coal and efficient and directional direct coal liquefaction technology.Int J Coal Sci Technol 1, 46–55 (2014).
  • Received

    01 December 2013

  • Revised

    10 January 2014

  • Accepted

    13 January 2014

  • Issue Date

    March 2014

  • DOI

    https://doi.org/10.1007/s40789-014-0003-8

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