Next Article in Journal
Future Sensemaking Beyond Own Business Self-Interests: Insights from Offshore Wind Energy Innovation Ecosystems
Previous Article in Journal
The Effect of Increasing Aggregation Levels of Electrical Consumption Data on Renewable Energy Community (REC) Analyses
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Synergy Effect of High K-Low Ca-High Si Biomass Ash Model System on Syngas Production and Reactivity Characteristics during Petroleum Coke Steam Gasification

1
Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China
2
School of Engineering, Anhui Agricultural University, Hefei 230036, China
3
State Key Laboratory of High-Efficiency Utilization of Coal and Green Chemical Engineering, Ningxia University, Yinchuan 750021, China
4
Department of Chemistry, Madanapalle Institute of Technology & Science, Madanapalle 517325, Andhra Pradesh, India
5
National Engineering Research Center for Large-Scale Coal Gasification and Coal based New Materials, East China University of Science and Technology, Shanghai 200237, China
6
Shandong Energy Group Co., Ltd., Jinan 250101, China
*
Authors to whom correspondence should be addressed.
Energies 2024, 17(18), 4650; https://doi.org/10.3390/en17184650
Submission received: 20 August 2024 / Revised: 7 September 2024 / Accepted: 13 September 2024 / Published: 18 September 2024
(This article belongs to the Section A4: Bio-Energy)

Abstract

:
The synergy effect of high K-low Ca-high Si biomass ash-based model system (BAMS) on the synthesis gas output and reaction characteristics of petroleum coke (PC) steam gasification process was studied using three biomass ash (BA) components, KCl, SiO2, and CaCO3, which were used as the model compounds. In the ternary model system, the steam gasification experiment of PC was conducted using a fixed bed reactor and gas phase chromatography. The synergistic effects of binary and ternary components in the ternary model system on the gasification of PC were obtained. These investigations were based on the data from the gas analysis and examined the gasification reaction process, syngas release behavior, and reaction characteristics. This study examined the effects of binary and ternary components in the ternary model system on the evolution of semi-char structure during PC gasification. This correlation revealed the synergistic effect of the model system on PC gasification. Scanning electron microscope (SEM) and Raman spectroscopy were used to characterize the structure and surface microstructure of the gasification semi-char. The results showed that the yields of different gases in the ternary model system were in H2 > CO > CO2. Compared with single PC gasification, the yields of H2, CO, syngas, and carbon conversion were increased by 29.42 mmol/g, 20.40 mmol/g, 56.68 mmol/g, and 0.35, respectively. All other components in the ternary model system with high K-low Ca-high Si demonstrated catalytic effect, except for SiO2 and the Ca-Si system, which showed inhibitory effects on syngas release and reaction features. Integrating SEM and Raman spectroscopic analyses, it was elucidated that CaCO3 and KCl diminished the degree of graphitization in semi-char through interactions with the carbonaceous matrix. This phenomenon facilitated the gasification process and exhibited a synergistic effect. Secondly, SiO2 will react with CaCO3 and KCl, producing inert silicates and inactivating these compounds, leading to the decline of catalysis.

1. Introduction

The by-product of delayed coking in the petrochemical process, petroleum coke is inexpensive, non-melting, and has a high calorific value [1]. Petroleum coke has low gasification reactivity due to its high degree of carbon ordering, underdeveloped pore structure, low oxygen and mineral concentration, and these factors [2]. The yearly output of petroleum coke is on the rise, and its energy use via gasification has attracted substantial interest [3]. Petroleum coke is gasified when it reacts with various gasification agents (air, CO2, O2, H2, or steam) at a specific temperature and pressure to produce crude syngas mainly composed of CO and H2 [4]. However, the high degree of order in the microcrystalline structure, the underdeveloped pore structure, and the low amount of internal alkali (earth) metals (AAEMs) in petroleum coke result in poor reactivity [5,6,7]. Thus, increasing the gasification activity of coke from petroleum and lowering the required gasification temperature are the current objectives of petroleum coke gasification research.
In light of the continuous reduction in fossil energy resource reserves and a series of environmental problems caused by its energy utilization process, renewable energy resources represented by biomass have attracted a great deal of attention from researchers and industry [8,9,10]. Biomass combustion or gasification generates a substantial amount of biomass ash, rich in AAEMs [11]. Research indicates that biomass ash can improve petroleum coke gasification [2]. Essentially, biomass ash components and the chemical assignment forms of its components are key factors affecting biomass ash catalysis. Researchers [12] counted the chemical composition of 141 kinds of biomass ash, finding that most biomass ash’s main components were Si, K, and Ca. It has been demonstrated that the main factors influencing the catalytic effect of the metal catalyst/biomass ash coke catalytic gasification were Si, K, and Ca. Wei [13] obtained typical agricultural biomass-based leachate using a water-washing method. The findings demonstrated that the biomass leachate had a high potassium concentration (mainly water-soluble potassium, i.e., KCl), which significantly accelerated the process of gasification for coke from petroleum. Further research on the impact of soluble and insoluble biomass ash constituents on petroleum coke gasification was conducted by He et al. [14]. The findings demonstrated that the predominant forms of calcium and potassium in biomass ash were soluble and insoluble, respectively, and that the soluble components had a significantly more significant catalytic effect than the insoluble ones, indicating that the soluble components were essential to the catalytic performance of the biomass ash. However, a considerable amount of SiO2 can be found in some biomass ashes, such as straw. When active AAEMs (potassium, calcium, etc.) are gasified, SiO2 readily combines with them to inactivate them and reduce catalysis. Thus, a crucial component of the biomass ash catalytic process is the suppression of SiO2.
Gasification of petroleum coke can be accelerated, lowered in temperature, and completed in a shorter period of time by using a catalyst [2,15]. Studies have shown that alkali metal elements (sodium, potassium, etc.) and alkaline earth metal elements (calcium, magnesium, etc.) can both significantly catalyze the gasification of petroleum coke at this time. However, the development of petroleum coke catalytic gasification technology is hampered by the problems associated with single-component alkali metal catalysts, including their high cost, easy deactivation, and differential catalytic effect [16,17,18,19]. The composite catalyst refers to the combination of two or more metal catalysts, which can effectively improve the gasification reaction activity [20], and optimize syngas composition [21]. Jiao et al. [21] used potassium and different transition metals to prepare composite catalysts for semi-char gasification. The outcomes demonstrated that the composite catalyst could efficiently increase both the yield of CH4 and the gasification reaction rate and prevent the release of CO2. In order to create composite catalysts for a coke catalytic gasification experiment, Jiang et al. [22] combined Ca (AC)2, Ca (OH)2, and CaCO3 with K2CO3. The findings demonstrate the complementary catalytic effects of calcium-based catalyst and K2CO3, which prevent K2CO3 from deactivating during the gasification of coke. Monterroso [23] and others used FeCO3, Na2CO3, and FeCO3-Na2CO3 as catalysts for a coke gasification reaction, and found that compared with the single catalyst (FeCO3 and Na2CO3), the corresponding H2 yield of the FeCO3-Na2CO3 composite catalyst increased by 40% and 15%, respectively, indicating that the Fe-Na composite catalyst can significantly improve the H2 content in syngas. The combined effects of catalytic gasification can address the issue of petroleum coke’s low gasification efficiency and lower catalyst costs, large-scale land occupation, and low solid waste utilization rates.
With reference to our previous study focusing on the high K-high Ca-low Si model system [24], this study created an appropriate high K-low Ca-high Si model system (including the related monadic, binary, and ternary fractions) based on the primary occurrence forms and corresponding concentrations of K-Ca-Si in average biomass ash. The fixed bed reactor and gas chromatograph that were self-built served as the foundation for the petroleum coke steam gasification experiment. An analysis and investigation were conducted on gasification syngas’ production and reaction properties. It investigated how the model system of high K-low Ca-high Si can work in concert with binary and ternary components to enhance the evolution of the semi-char structure during the gasification of petroleum coke. This correlation revealed the ternary model system’s synergistic effect on the petroleum coke gasification reaction.

2. Experimental Section

2.1. Experimental Materials

This study used petroleum coke (PC) from Sinopec Yangzi Petrochemical Co., Ltd. (Nanjing, China). The material was filtered by a 120–180 mesh screen and dried for 24 h at 105 °C. PC’s proximate analysis and ultimate analysis are summarized in Table 1.
Chemicals used as sources of K, Si and Ca, respectively, such as potassium chloride, silicon dioxide and calcium carbonate, were purchased from Sinopharm group. Synthesis of a ternary system was based on 50% KCl, 35% SiO2, and 15% CaCO3. Determination of the molar ratio of Si-K-Ca in the ternary system was based on the chemical composition in a typical BA with high K and low Ca [12]. The catalyst is combined with PC in each loading procedure, with a constant 20% ratio of single-, binary-, and ternary catalysts. The mixture is then filtered via a mixer. Table 2 lists the components of BAMS in different samples. I (PC) is used for the sample; I-1, I-2, I-3 (single catalyst); II-1, II-2, II-3 (binary catalyst); III (ternary catalyst).

2.2. Steam Gasification Experiments

A fixed-bed reactor was used for gasification experiments in this study, and Figure 1 displays the experimental equipment’s structural diagram. The detailed information could be found in our previous study [24].
The needed amount of mixture-prepared samples (Table 2) were put in a quartz tray measuring 35 mm in diameter and 12 mm in height. The temperature of the reaction zone was raised to the target temperature (900 °C) at a heating rate of 10 °C/min on the fixed bed platform in the middle of the reactor under the condition of nitrogen flow of 200 mL/min. For the gasification experiment, steam was supplied at a water flow rate of 5 mL/h (67% steam partial pressure) after being stabilized for 5 min at a constant temperature. For the gasification experiment, steam was supplied at a water flow rate of 5 mL/h (67% steam partial pressure) after being stabilized for 5 min at a constant temperature. The time interval of airbag collection is 10 min. Gas chromatography (GC with an Agilent 8860) was used to analyze the composition of gaseous products. The detector was calibrated with standard gas before beginning each experiment. Equation (1) was used for calculating the moles of different components in the exhaust gas based on the collected GC data [24].
n i , 10 min ( mmol ) = V N 2 × t 22.4 × υ N 2 × υ i × 1000
where VN2 (mL/min) is the carrier gas flow, t (min) is the gas collection time of air bag; υ i (%) is the content of different gas components (N2, CO, H2, CO2), and 22.4 (L/min) is the molar volume of standard gas. Equation (2) was used for calculating the gasification carbon conversion [24,25]:
C = m m 1
where m1 (g) represents the carbon content of the feedstock and m (g) represents the mass of carbon contained in CO2 and CO. The theoretical values were calculated by the use of Equations (3) and (4) [24].
N S 1,2 p = N S 1 + N S 2 N P C
N S 1,2 , 3 p = N S 1 + N S 2 + N S 3 2 N P C
N represents the parameters related to gasification reaction and syngas release characteristics (carbon conversion, gas release rate, gas yield, etc.), and S represents different samples.

2.3. Semi-Char Structure Analysis

A common method for figuring out the structural properties of carbon-based materials is Raman spectroscopy because of its benefits, which include easy sample preparation, high sensitivity, and high resolution [26,27,28]. The structure of the gasification semi-char was characterized in this work using Thermo Fisher DXR laser Raman spectroscopy. The selected range of the test was 500–2000 cm−1. Using an argon ion laser (wavelength and power were 514 nm and 2 nw, respectively); the analysis range and resolution of the micro-region were 1 μm and 1 cm−1, respectively. PC surface micromorphology and catalyst appearance under steam gasification were characterized by JSM 7600F field emission scanning electron microscope(Japan Electronics Co., Ltd., Tokyo, Japan).

3. Results and Discussion

3.1. Influence and Synergy Effect of High K-Low Ca-High Si Model System on Gas Release Characteristics of PC Steam Gasification Process

3.1.1. Syngas Release Characteristics

The gaseous products produced during PC’s steam gasification on the K-Ca-Si catalyst are shown in Figure 2. In general, the H2 release rates of various samples were in the order of II-1>I-1>III>II-2>I-2>I>II-3>I-3. It can be found that for the single catalyst, the H2 release rate curve of I-2 almost coincides with the H2 release rate curve of PC gasification alone. This suggests that in contrast to the high content of CaCO3, the low content of CaCO3 has almost no catalytic effect on the H2 release rate during PC gasification. The content of CaCO3 is an essential factor affecting its catalytic effect, as the relevant literature also demonstrates [29]. Although it has less impact than PC gasification alone, the H2 release rate curve of I-3 is still lower. The number obtained by computing the proportional decrease in the H2 release rate of I-3 compared to PC gasification is 14.6%. It is found that SiO2 in the model system of high K-low Ca-high Si has a specific inhibition effect on the H2 release rate during PC gasification. According to several studies, SiO2 mainly reduced the gas emission rate by blocking the AAEMs that are naturally present in carbonaceous raw materials [30,31]. Still, the content of AAEMs in PC was less [32], which made the influence of SiO2 content on the gasification process of PC insignificant. For the binary model system, the H2 release rate of II-1 and II-2 in Figure 2 is higher than that of PC gasification alone. The H2 release rate curve of II-1 is higher than that of II-2, which shows that the K-Ca and K-Si binary model system still shows the catalytic effect on the release rate of H2. The catalytic performance of the K-Ca binary model system is higher than that of the K-Si binary model system. For the Ca-Si model system, the H2 release rate is lower than that of the PC gasification alone, which indicates that the Ca-Si model system in the ternary model system has an inhibitory effect on the H2 release rate. The release rate of H2 in Figure 2 III for the ternary model system is higher than that of PC, which indicates that the high K-low Ca-high Si model system’s ternary model system catalyzes the release of H2 during the PC steam gasification process.
Each sample’s CO release characteristic curve is comparable to that of H2, and the order of the CO release rates of the various samples is similar to that of H2. It can be found in Figure 2 that for single catalysts, the influence of each catalyst on the release rate of CO is similar to that on the release rate of H2; that is, the amount of CaCO3 present significantly affects how much CO is released when PC is gasified but the content of SiO2 has no significant impact on the release of CO during the PC’s gasification. In the high K-low Ca-high Si model system, the K-Ca and K-Si binary model system has a significant catalytic effect on the release of CO. In contrast, the Ca-Si binary model system has an inhibitory effect on the release of CO. However, the K-Ca binary model system differs in that the impact of Ca content on the CO release rate is less substantial than that of H2. For the K-Ca-Si ternary model system, the CO release rate curve in Figure 2 III is higher than that in the case of PC gasification alone, which shows that the K-Ca-Si ternary model system in the high K-low Ca-high Si model system still has a catalytic effect on the release of CO during the gasification of PC. Figure 2c shows the CO2 emission characteristic curve of each sample during gasification. All samples exhibit a similar influence pattern on the rate of CO2 emission during gasification as they do on H2 and CO.

3.1.2. Synergy Effect of BAMS on Syngas Release

The theoretical gas release rate curve for each sample in the high K-low Ca-high Si model system is depicted in Figure 3 following the Equations (2)–(4). Table 3 displays the important gas release rate parameters for the gasification process of various samples. By comparing II-1 and II-1-T, it is discovered that, in the high K-low Ca-high Si model system, the actual H2 release rate of the K-Ca model system is higher than the theoretical value. Still, the exact value is close to the theoretical value at each time node, which indicates that the K-Ca model system in the high K-low Ca-high Si model system has a catalytic synergistic effect. Still, the synergistic impact also weakens with the reduction in CaCO3 content in the K-Ca model system.
Comparing the H2 release characteristic curves of II-2 and I-1 in Figure 2, it can be found that the H2 release rate of II-2 is generally slower than that of I-1. The peak H2 release rate of II-2 is 0.81 mmol/min, which is also lower than that of I-1, and the peak value decreases by 23.6%, which indicates that in the high K-low Ca-high Si model system, SiO2 can inhibit the catalytic activity of KCl. A comparison of II-3 and II-3-T shows that the Ca-Si model system of the high K-low Ca-high Si model system inhibits the release of H2. This suggests that the catalytic activity of CaCO3 will be ineffective when the SiO2 content of CaCO3 exceeds that of CaCO3. By comparing III and II-1 in Figure 3a, it can be found that the H2 release rate of III is lower than that of II-1, which indicates that the catalytic performance of the K-Ca-Si ternary model system in high K-low Ca-high Si model system is inferior to that of the K-Ca model system. This is primarily due to SiO2 having a more significant concentration than CaCO3. The remaining SiO2 will then react with KCl and block KCl’s activity when SiO2 and CaCO3 react preferentially. In addition, through the comparison of III and III-T, it can be found that the overall H2 release rate of III is lower than the theoretical value, which indicates that in the whole gasification process, the K-Ca-Si ternary model system interacts with each other, which weakens the overall catalytic effect.
Figure 3b shows the theoretical CO release rate curve of each sample. The impact of the catalysts on the rate of CO release was comparable to that of H2: the K-Ca model system demonstrated catalytic synergy and had superior catalytic performance for CO release compared to the single catalyst. The CO release rate decreased due to SiO2’s inhibition of KCl’s catalytic activity in the K-Si model system; on the rate of CO release, the Ca-Si model system had an inhibiting impact. The K-Ca-Si ternary model system demonstrated an inhibitory effect on the rate of CO release. However, the synergistic effect of different model systems on the CO release rate is still distinct from that on the H2 release rate. By comparing II-1 and I-1 in Figure 3b, it can be found that the CO release rate of II-1 is higher than that of I-1 in the early and late stage of the reaction but lower than that of I-1 in the middle stage of the response. This shows that the K-Ca model system with high K-low Ca-high Si enhanced the release of CO in the early and late stages of the reaction. In addition, by comparing the theoretical and actual CO release rate curves of II-1 in Figure 3b, it can also be found that in the early and late stages of the gasification reaction, the actual CO release rate of II-1 is higher than the theoretical release rate. Still, the theoretical value is close to the actual value, which indicates that the K-Ca model system has synergistic catalysis in the early and late stages of the gasification reaction. Still, with the decrease in CaCO3 content in the K-Ca model system, its synergistic catalysis also weakens. For the K-Ca-Si ternary model system, its catalytic effect on the CO release rate is similar to that on the H2 release rate, and its synergistic effect on CO release is also identical to that on the H2 release. Figure 3c shows the actual and theoretical release rates of CO2. Similarly, the influence of binary catalysts (K-Ca, K-Si, and Ca-Si) and ternary catalyst K-Ca-Si on CO2 release is similar to that of H2 and CO; that is, the K-Ca binary catalyst has synergistic catalysis; the K-Si binary catalyst shows SiO2 inhibiting KCl catalytic activity, and the K-Ca-Si ternary catalyst shows overall inhibition.

3.2. Influence and Synergy Effect of High K-Low Ca-High Si Model System on Syngas Yield in PC Steam Gasification Process

3.2.1. Syngas Yield of the PC Gasification Process

Figure 4 shows the output of different components and the total output of various products in the high K-low Ca-high Si model system. It can be found that the basic order of total gas production from other products is II-1>I-1>III>II-2>I-2>I>II-3>I-3. For single catalysts, KCl and CaCO3 catalyze gasification synthesis gas preparation. In the case of the binary model system, it can be observed through a comparison of the total syngas yield of II-1, II-2, II-3, and I in Figure 4 that the K-Ca and K-Si model systems exhibit a catalytic effect on the syngas yield during the PC gasification process. In contrast, the Ca-Si model system exhibits an inhibitory effect. Compared to PC gasification alone, the K-Ca-Si ternary model system demonstrated a catalytic impact on the syngas yield.
In the model system of high K-low Ca-high Si, the effect of each catalyst on the yield of H2 and CO is similar to its impact on the total yield of syngas, that is, except that the Si and Ca-Si model system has an inhibitory effect on the yield of each gas; other systems all show catalytic effect. The order of catalytic performance of each model system for H2 yield is the following: K-Ca>K>K-Ca-Si>K-Si>Ca>Si>Ca-Si, and the absolute increment/decrement are 41.69 mmol/g, 38.62 mmol/g, 29.42 mmol/g, 19.27 mmol/g, 2.55 mmol/g, −5.18 mmol/g, and −7.41 mmol/g, respectively. The order of catalytic performance of each model system for CO yield is the following: K-Ca>K>K-Ca-Si>K-Si>Ca>Ca-Si>Si, and the absolute increment/decrement are 23.72 mmol/g, 23.07 mmol/g, 20.40 mmol/g, 12.92 mmol/g, −1.25 mmol/g, −1.35 mmol/g, and −2.29 mmol/g, respectively. The following is the order in which each model system performs catalytically for CO2 yield: the absolute increment and decrease are 11.17 mmol/g, 9.14 mmol/g, 6.86 mmol/g, 6.11 mmol/g, 2.27 mmol/g, −3.2 mmol/g, and −3.48 mmol/g, respectively, for K-Ca>K>K-Ca-Si>K-Si>Ca>Ca-Si>Si.

3.2.2. Synergy Effect of Syngas Yield in PC Steam Gasification Process

Comparing II-1 and I-1 in Figure 4, it is observed that the total yield of syngas in II-1 is 4.2% higher than that in I-1. This shows that in the model system of high K-low Ca-high Si, the catalytic performance of the K-Ca model system for the total yield of syngas is still better than that of the single catalyst KCl. In addition, through a comparison of the actual and theoretical values of II-1 in Figure 4, it is found that the actual total syngas yield is increased by 3.7% compared with the theoretical value. Specifically, the relative increases in each gas (H2, CO, and CO2) compared with the theoretical value were 3.2%, 2.5%, and 3.0%, respectively. The results show that the K-Ca binary model system can synergistically promote syngas’ total yield and each gas component’s yield in the high K-low Ca-high Si model system. In the model system of high K-low Ca-high Si, the catalytic effect of the K-Si model system on the yield of syngas is not as good as that of the single catalyst KCl. As the proportion of SiO2 in the K-Si model system increased, more SiO2 reacted with KCl, reducing the catalytic activity of KCl. By comparing the actual and theoretical values of II-2 in Figure 4, it is found that in the high K-low Ca-high Si model system, the actual syngas yield of the K-Si model system has decreased by 16.8% in comparison with the theoretical value, and the relative reduction in CO in each gas yield is the largest, 22.6%, indicating that in this type of model system, SiO2 mainly inhibits the catalytic ability of KCl to synthesize CO in the gasification process. When the proportion of SiO2 in the K-Si model system increases, SiO2 will inhibit the catalytic activity of more KCl, thereby reducing the catalytic performance of the K-Si model system. By comparing the syngas yields of II-3 and I-2, it can be found that the catalytic effect of the Ca-Si model system on the syngas yield is lower than that of CaCO3, which indicates that SiO2 also inhibits the catalytic activity of CaCO3. By comparing the theoretical and actual values of II-3, it was observed that the former was more significant. This finding further indicated that SiO2 reduced the catalytic activity of CaCO3.
The catalytic impact of the K-Ca-Si ternary model system on the total syngas yield in the high K-low Ca-high Si model system is higher than that of the K-Si binary model system; however, it is not as excellent as that of the single catalyst KCl. In addition, through the comparison of the actual and theoretical values in Figure 4, it can be found that in the high K-low Ca-high Si catalytic model, the K-Ca-Si ternary model system presents an inhibitory effect. By comparing the relative reduction in each gas, it is found that in the high K-low Ca-high Si model system, SiO2 mainly inhibits the catalytic ability of KCl and CaCO3 to synthesize H2 and CO.

3.3. Influence and Synergy Effect of High K-Low Ca-High Si Model System on Gasification Reaction Characteristics of PC

3.3.1. Influence of Gasification Reaction Characteristics of PC

Figure 5a shows the change in each sample’s carbon conversion rate of gasification reaction with time. Table 4 shows the final carbon conversion after the gasification reaction of all samples. As Figure 5a shows, the reaction rates of samples loaded with different catalysts from small to large are II-1>I-1>III>II-2>I-2>I-3>I-3. In the model system of high K-low Ca-high Si, KCl and CaCO3 have a catalytic effect on PC’s gasification rate. Among them, the decrease in CaCO3 content also lessens the catalytic effect of CaCO3 on the PC gasification rate. Furthermore, even though the high K-low Ca-high Si model system’s SiO2 content rose, it had no additional effect on the gasification of PC. This further demonstrates that the features of the gasification reaction are not solely dependent on the SiO2 content.
For the binary model system, in the high K-low Ca-high Si model system, the K-Ca and K-Si binary model system can catalyze the gasification reaction rate of PC. The results of the K-Si model system in the high K-low Ca-high Si model system show that with the increase in SiO2 content in the K-Si model system, its catalytic performance decreases. Because SiO2 has a more extensive content than CaCO3, the Ca-Si model system in the high K-low Ca-high Si model system exhibits an inhibitory impact on the gasification rate of PC. The final carbon conversion rate improved by 89.7%, from 0.39 to 0.74, in the high K-low Ca-high Si model system. This is because the K-Ca-Si ternary model system has a catalytic effect on the gasification rate of PC.

3.3.2. Synergy Effect of Gasification Reaction Characteristics of PC

By comparing II-1 and I-1 in Figure 5a, it can be found that the carbon conversion rate curve of II-1 is higher than that of I-1 as a whole, and the final carbon conversion rate of II-1 (0.84) is also higher than that of I-1 (0.80). Compared to the single catalyst KCl, the results demonstrate that the K-Ca model system can further increase the gasification reaction rate in the high K-low Ca-high Si model system. The outcomes align with the previously mentioned patterns of gas release rate and yield. In addition, by comparing II-1 and II-1-T in Figure 5b, it can be found that the actual carbon conversion curve of the K-Ca binary model system is slightly higher than the theoretical value during the whole gasification process. Its final actual carbon conversion rate is only 2.4% higher than the theoretical value, which indicates that in the high K-low Ca-high Si model system, the K-Ca binary model system shows catalytic synergy during gasification. Still, the synergy is weakened with the reduction in CaCO3 content. Through the comparison of the actual carbon conversion rate curve and the theoretical carbon conversion rate curve of II-2 in Figure 5b, it is found that the theoretical carbon conversion rate curve is higher than the actual carbon conversion rate curve. The results show that during the gasification process, SiO2 will inhibit the catalytic activity of KCl, resulting in the reduction in gasification reaction rate, and with the increase in SiO2 content, more KCl will be deactivated. As compared to the single catalyst KCl, the K-Ca-Si ternary model system performs less effectively catalytically at gasification reaction rates. Comparing the theoretical value with the actual value, it can be found that the actual carbon conversion slope of III is always lower than the theoretical value, which indicates that SiO2 inhibits the catalytic activities of KCl and CaCO3.

3.4. Correlation between Structural Evolution and Reaction Synergy Behavior of PC Steam Gasification in High K-Low Ca-High Si Model Systems

3.4.1. Evolution of Surface Microstructure

The SEM images of gasification semi-char loaded with different catalysts are shown in Figure 6. The surface morphology of PC during gasification is affected by various model systems in the high K-low Ca-high Si model system. Specifically, KCl will cause the smooth surface of the PC to break down and form a sheet structure, as seen from the observation. Additionally, the enlarged local view of Figure 6b shows that KCl will be uniformly attached to the PC surface, which will speed up the gasification reaction rate. In the model system of high K-low Ca-high Si, due to the reduction in CaCO3 content, no apparent pore structure was observed on the surface of the gasification semi-char in Figure 6c, which led to the decline of its catalytic effect. Figure 6d shows the surface morphology of the gasification semi-char loaded with SiO2. During the gasification process of PC, it was observed that the surface morphology of the semi-char loaded with SiO2 was comparable to that of the semi-char gasified by PC alone. This suggests that SiO2 has no noticeable effect on the surface of the PC.
Figure 6e shows the gasification semi-char supported by the K-Ca binary model system in the high K-low Ca-high Si model system. It can be found that compared with the gasification of PC alone, the surface of PC forms a sheet structure, and some pore structures can be observed. At the same time, KCl is also evenly distributed on the surface of the gasification semi-char, indicating that CaCO3 reacts with PC to form a pore structure during gasification, and molten KCl is evenly distributed on the surface of PC, thus accelerating the gasification reaction process. Figure 6f shows the gasification semi-char loaded with a K-Si model system. By observing the local enlarged view, it can be found that the KCl particles loaded on its surface basically disappear, indicating that KCl and SiO2 form inert silicates during the gasification reaction. Since silicates have a melting point higher than KCl and do not catalyze the gasification process, KCl’s catalytic activity becomes inactive. Figure 6g shows the gasification semi-char loaded with a Ca-Si model system. It can be found that there is no change in the surface of the gasification semi-char compared with the gasification semi-char of PC alone, indicating that the combination of SiO2 and CaCO3 makes CaCO3 lose its pore-forming function, thus reducing the catalytic activity of CaCO3.
Figure 6h shows the gasification semi-char supported by the K-Ca-Si ternary model system in the high K-low Ca-high Si model system. Its surface morphology is damaged, but it is not as damaged as the gasification semi-char supported by the single catalyst KCl and K-Ca model system. By observing the local enlarged map, it is found that the density of KCl distribution is also weaker than that of the gasification semi-char supported by the single catalyst KCl and K-Ca model system, that is, SiO2 will react with CaCO3 preferentially. After the amount of CaCO3 has been transformed into calcium silicate, the remaining SiO2 will react with KCl. After all SiO2 has been converted to silicate, the remaining KCl then catalyzes the continuation of the PC gasification process.

3.4.2. Evolution of Carbon Structure

Degree of graphitization and amorphous carbon in gasified semi-char reflects gasification reaction properties [33]. We can better understand the catalyst’s function in the gasification process by examining the evolution of the carbon structure of gasification char. Characterization of water vapor gasification semi-char using Raman spectroscopy for structural characterization of intermediate stage semi-char was conducted. The Raman spectrum was deconvoluted into five peaks in order to determine the exact spectral parameters. The IG/Iall value represents the degree of graphitization, and ID3/IG represents the content of the amorphous carbon structure. The original Raman peaks were split into several Gaussian peaks and several Lorentzian peaks to obtain more information about the carbon structure by the operation of split-peak fitting as described in [2]. Table 5 lists the Raman band area ratios of semi-chars. In the model system of high K-low Ca-high Si, through the influence of gasification semi-char supported on each catalyst on the carbon structure of gasification semi-char, it can be found that with the reduction in CaCO3 content, the influence of the single catalyst CaCO3 and the K-Ca binary model system on the graphitization degree decreases. The results show that in the model system of high K-low Ca-high Si, SiO2 inhibits the catalytic activity of KCl, thus hindering the process of KCl, reducing the graphitization degree of gasification semi-char. For the Ca-Si binary model system, the graphitization degree of the Ca-Si binary model system is higher than that of PC gasification alone due to the higher SiO2 content than CaCO3. The K-Ca-Si ternary model system can still lower the graphitization degree of the PC gasification process, even in the high K-low Ca-high Si model system. However, because it contains more SiO2, its effect will be impacted.
Due to its ability to promote the formation of an amorphous carbon structure, adding KCl significantly increased the steam gasification reactivity. On the other hand, adding SiO2 will cause the steam gasification process to slow down and become less reactive. This can explain the high reactivity of PC-containing KCl during steam gasification. When CaCO3 and KCl are mixed, they can work together to further promote carbon structure formation. SiO2 inhibits gas release and reaction characteristics, whereas CaCO3 and KCl have a synergistic effect in increasing the concentration of amorphous carbon. As a result, we can observe the many interactions between the various additives in the steam gasification reaction, which is crucial for increasing the reactivity.

3.5. Synergy Mechanism of BAMS with High K-Low Ca-High Si

3.5.1. Synergistic Catalysis Mechanism of K-Ca Binary System

KCl forms flowing molten KCl at high temperature. Meanwhile, CaCO3 can destroy the carbon layer and form a large number of pore structures, which makes it easier for molten KCl to enter the PC to participate in the reaction, which increases the reaction area between KCl and PC, thus forming more active sites, which can accelerate the gasification reaction process. With the increase in CaCO3 content in the K-Ca model system, more and more CaCO3 can be attached to the surface of PC, which speeds up the pore-forming speed of CaCO3, and makes more KCl enter the PC to participate in the reaction. Therefore, with the increase in CaCO3 content, the synergistic catalytic effect of the K-Ca model system is also enhanced.

3.5.2. Mechanism of Catalytic Inhibition of SiO2 in the K-Si/Ca-Si Binary System

During the gasification reaction, SiO2 will combine with KCl and CaCO3 to form inert silicate. For KCl, after KCl and SiO2 combine to form potassium silicate, on the one hand, the content of KCl with a catalytic effect will be reduced, making less KCl participate in the catalytic reaction. On the other hand, the melting temperature of the generated potassium silicate is higher than the gasification temperature under this condition, which will cause the partially melted KCl to be wrapped by the formed potassium silicate, and then lose its catalytic activity. With the increase in SiO2 content in the K-Si model system, the above phenomenon will become more and more serious. For CaCO3, it is also SiO2 that will combine with CaCO3 to form calcium silicate, which will lose its original pore-forming function, reducing the amount of active CaCO3, thus inhibiting the catalytic activity of CaCO3.

3.5.3. Synergistic Catalysis Mechanism of K-Ca-Si Ternary System

Although SiO2 can combine with KCl and CaCO3 to form silicate, through previous analysis and some literature argumentation [34,35,36,37], it can be found that SiO2 will preferentially combine with CaCO3 and then with KCl, which indicates that in the K-Ca-Si ternary system, Ca not only plays a role in catalyzing the gasification of PC with KCl, but also protects the catalytic activity of KCl. For the biomass ash model material with high K-low Ca-high Si, because the content of CaCO3 is lower than that of SiO2, the remaining SiO2 will still inhibit the catalytic activity of KCl after CaCO3 is reacted by SiO2 during the gasification reaction.

4. Conclusions

(1) In the high K-low Ca-high Si model system, the yields of different gases were in the order of H2>CO>CO2. In comparison with single PC gasification, the yields of H2, CO, syngas, and carbon conversion were increased by 29.42 mmol/g, 20.40 mmol/g, 56.68 mmol/g, and 0.35, respectively.
(2) In the high K-low Ca-high Si model system, except SiO2 and Ca-Si systems, all other catalysts showed catalytic effects on gas release and reaction characteristics. SiO2 could inhibit gas generation and reaction rate in gasification, whereas the K-Ca binary model system demonstrated a synergistic effect.
(3) CaCO3 can expand the pore structure of semi-char to promote the gasification reaction. At the same time, KCl will lower the graphitization degree of semi-char to strengthen the reaction, showing a synergistic effect. The K-Ca binary model system’s synergistic catalytic impact will be diminished due to SiO2’s increased inhibition of CaCO3 and KCl.

Author Contributions

Conceptualization, G.Y.; Data curation, J.W. and L.T.; Formal analysis, J.W., L.T., K.D. and Y.B.; Funding acquisition, J.W., B.L. and L.R.; Investigation, L.T., J.S., K.D., B.L., Y.B., L.R. and G.X.; Methodology, J.S., B.L., Y.B., X.L. and G.X.; Supervision, G.Y.; Writing—original draft, J.W. and L.T.; Writing—review and editing, J.S., X.L., G.X. and G.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This work is financially supported by National Natural Science Foundation of China (22208164, 52276196), Natural Science Foundation of the Jiangsu Higher Education Institutions of China (22KJB470017), State Key Laboratory of High Efficiency Utilization of Coal and Green Chemical Engineering, Ningxia University (2022-K39), and the Postdoctoral Research Excellence Funding Project of Zhejiang Province of China (ZJ2023135).

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Conflicts of Interest

Author Guangyu Xu was employed by the company Shandong Energy Group Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Wang, M.; Wan, Y.; Guo, Q.; Bai, Y.; Yu, G.; Liu, Y.; Zhang, H.; Zhang, S.; Wei, J. Brief review on petroleum coke and biomass/coal co-gasification: Syngas production, reactivity characteristics, and synergy behavior. Fuel 2021, 304, 121517. [Google Scholar] [CrossRef]
  2. He, Q.; Yu, J.; Song, X.; Ding, L.; Wei, J.; Yu, G. Utilization of biomass ash for upgrading petroleum coke gasification: Effect of soluble and insoluble components. Energy 2020, 192, 116642. [Google Scholar] [CrossRef]
  3. Wang, B.; Li, W.; Ma, C.; Yang, W.; Pudasainee, D.; Gupta, R.; Sun, L. Synergistic effect on the co-gasification of petroleum coke and carbon-based feedstocks: A state-of-the-art review. J. Energy Inst. 2022, 102, 1–13. [Google Scholar] [CrossRef]
  4. Dutta, S.; Wen, C.Y.; Belt, R.J. Reactivity of coal and char. 1. In carbon dioxide atmosphere. Ind. Eng. Chem. Process Des. Dev. 1977, 16, 20–30. [Google Scholar] [CrossRef]
  5. Mao, L.; Liu, T.; Zhao, Y.; Zheng, M. Synergism between lignite and high-sulfur petroleum coke in CO2 gasification. Green Process. Synth. 2023, 12, 20228143. [Google Scholar] [CrossRef]
  6. Xiao, H.; Wang, Y.; Cai, Z.; Zhang, J.; Yu, G. The synergistic effecting mechanisms of biomass pyrolysis, biomass char gasification, and biomass ash on CO2 co-gasification of biomass and high-sulfur petroleum coke. Fuel 2024, 365, 131203. [Google Scholar] [CrossRef]
  7. Feng, H.; Zhou, T.; Ge, L.; Li, Q.; Zhao, C.; Huang, J.; Wang, Y. Study on the preparation of high value-added activated carbon from petroleum coke: Comparison between one-and two-step methods for carbonization and activation. Energy 2024, 292, 130570. [Google Scholar] [CrossRef]
  8. Xie, C.; Chen, Z.; Yoo, C.G.; Shen, X.; Hou, Q.; Boudesocque-Delaye, L. Editorial: The application of green chemistry in biomass valorization: Green route, green catalyst and green solvent. Front. Chem. 2023, 11, 1277256. [Google Scholar] [CrossRef]
  9. Zhou, T.; Zhang, W.; Shen, Y.; Luo, S.; Ren, D. Progress in the change of ash melting behavior and slagging characteristics of co-gasification of biomass and coal: A review. J. Energy Inst. 2023, 111, 101414. [Google Scholar] [CrossRef]
  10. Zhao, Z.; Kong, W.; Wu, S.; Zeng, X.; Cui, P. High quality syngas production from catalytic steam gasification of biomass with calcium-rich construction waste. J. Energy Inst. 2023, 111, 101433. [Google Scholar] [CrossRef]
  11. Wang, Y.; Wang, X.; Tan, H.; Du, W.; Qu, X. Extraction and quantitation of various potassium salts in straw ash. Environ. Prog. Sustain. Energy 2015, 34, 333–338. [Google Scholar] [CrossRef]
  12. Vassilev, S.V.; Vassileva, C.G.; Song, Y.-C.; Li, W.-Y.; Feng, J. Ash contents and ash-forming elements of biomass and their significance for solid biofuel combustion. Fuel 2017, 208, 377–409. [Google Scholar] [CrossRef]
  13. Wei, J.; Guo, Q.; Gong, Y.; Ding, L.; Yu, G. Effect of biomass leachates on structure evolution and reactivity characteristic of petroleum coke gasification. Renew. Energy 2020, 155, 111–120. [Google Scholar] [CrossRef]
  14. Zhang, Y.; Ashizawa, M.; Kajitani, S.; Hara, S. A new approach to catalytic coal gasification: The recovery and reuse of calcium using biomass derived crude vinegars. Fuel 2010, 89, 417–422. [Google Scholar] [CrossRef]
  15. Kang, S.; Li, J.; Zheng, Y.; Zhu, X.; Bi, J. Reaction kinetics study on the char-steam catalytic gasification under pressurized conditions. Coal Convers. 2011, 34, 31–35. [Google Scholar]
  16. Zhang, Y.; Hara, S.; Kajitani, S.; Ashizawa, M. Modeling of catalytic gasification kinetics of coal char and carbon. Fuel 2010, 89, 152–157. [Google Scholar] [CrossRef]
  17. Fan, D.; Zhang, H.; Zhu, Z.; Lv, Q. CO2 gasification reactivity of brown coal char. Coal Convers. 2012, 38, 314–320. [Google Scholar]
  18. Zhao, H.; Wu, J.; Xiao, W.; Cao, K. Study on catalytic gasification of Yining long flame coal char. Technol. Dev. Chem. Ind. 2011, 40, 33–35. [Google Scholar]
  19. Gao, Z.; Hu, J.; Guo, Z.; Wang, X.; Wu, X. Investigation on the co-gasification of coal char with biomass char and the distributed activation energy. Proc. Csee 2011, 31, 51–57. [Google Scholar]
  20. Medvedev, A.A.; Kustov, A.L.; Beldova, D.A.; Polikarpova, S.B.; Ponomarev, V.E.; Murashova, E.V.; Sokolovskiy, P.V.; Kustov, L.M. A synergistic effect of potassium and transition metal compounds on the catalytic behaviour of hydrolysis lignin in CO2-assisted gasification. Energies 2023, 16, 4335. [Google Scholar] [CrossRef]
  21. Ding, X.; Jiao, W.; Liu, Y.; Wang, Z.; Fang, Y. Methane production from high-pressure catalytic steam hydrogasification of sawdust char on K-modified transition metal composite catalysts. Fuel 2024, 363, 131000. [Google Scholar]
  22. Jiang, M.-Q.; Zhou, R.; Hu, J.; Wang, F.-C.; Wang, J. Calcium-promoted catalytic activity of potassium carbonate for steam gasification of coal char: Influences of calcium species. Fuel 2012, 99, 64–71. [Google Scholar] [CrossRef]
  23. Monterroso, R.; Fan, M.; Zhang, F.; Gao, Y.; Popa, T.; Argyle, M.D.; Towler, B.; Sun, Q. Effects of an environmentally-friendly, inexpensive composite iron–sodium catalyst on coal gasification. Fuel 2014, 116, 341–349. [Google Scholar] [CrossRef]
  24. Sun, J.; Zhang, J.; Xu, D.; Zhang, S.; Lv, P.; Jiang, Y.; Song, X.; Kontchouo, F.M.; Jiao, Y.; Li, B.; et al. Synergistic effect mechanism of biomass ash-derived K-Ca-Si catalytic system on syngas production and reactivity characteristics of high-sulfur petroleum coke gasification. Fuel 2024, 365, 131224. [Google Scholar] [CrossRef]
  25. Wu, Y.; Wang, J.; Wu, S.; Huang, S.; Gao, J. Potassium-catalyzed steam gasification of petroleum coke for H2 production: Reactivity, selectivity and gas release. Fuel Process. Technol. 2011, 92, 523–530. [Google Scholar] [CrossRef]
  26. Mohammadi, M.; Khorrami, M.K.; Vatanparast, H.; Karimi, A.; Sadrara, M. Classification and determination of sulfur content in crude oil samples by infrared spectrometry. Infrared Phys. Technol. 2022, 127, 104382. [Google Scholar] [CrossRef]
  27. Guizani, C.; Haddad, K.; Limousy, L.; Jeguirim, M. New insights on the structural evolution of biomass char upon pyrolysis as revealed by the Raman spectroscopy and elemental analysis. Carbon 2017, 119, 519–521. [Google Scholar] [CrossRef]
  28. Bao, Z.; Lu, Z.; Chen, J.; Cai, J.; Guo, S.; Yao, S. Relationships between char reactivity and char structure from a suite of organic model compounds. Fuel Process. Technol. 2023, 249, 107852. [Google Scholar] [CrossRef]
  29. He, J.; Zou, C.; Zhao, J.; Xi, J.; She, Y.; Ren, M.; Xu, Y. Influence of Raman spectroscopy test conditions on the results of carbon chemical structure of chars. Energies 2022, 15, 5627. [Google Scholar] [CrossRef]
  30. Ban, Y.; Liu, Q.; Zhou, H.; Li, N.; Zhao, B.; Shi, S.; He, R.; Zhi, K. Catalytic effect of representative calcium salts on the steam gasification of a Shengli lignite. Fuel 2019, 255, 115832. [Google Scholar] [CrossRef]
  31. Zhang, Y.; Guo, Y.; Jiang, Y.; Guo, F.; Zhao, X.; Wu, J. The mechanism of the ash fusion characteristics of gasification coke affected by SiO2/Al2O3 ratio and CaO content in blending coals. Int. J. Coal Prep. Util. 2022, 42, 941–959. [Google Scholar] [CrossRef]
  32. Ge, Z.; Cao, X.; Zha, Z.; Ma, Y.; Zeng, M.; Wu, K.; Chu, S.; Tao, Y.; Zhang, H. The mineral transformation and molten behaviors of biomass waste ashes in gasification-melting process. Fuel Process. Technol. 2022, 226, 107095. [Google Scholar] [CrossRef]
  33. Li, J.; Wang, Y.; Zhu, L.; Zhang, Z.; Xiao, H. Experimental study on co-pyrolysis of petroleum coke and coals: Synergy effects and co-gasification reactivity. Fuel 2020, 279, 118368. [Google Scholar] [CrossRef]
  34. Guo, Q.; Huang, Y.; He, Q.; Gong, Y.; Yu, G. Analysis of coal gasification reactivity, kinetics, and mechanism with iron-based catalyst from coal liquefaction. ACS Omega 2021, 6, 1584–1592. [Google Scholar] [CrossRef] [PubMed]
  35. Liu, L.; Liu, H.; Cui, M.; Hu, Y.; Wang, J. Calcium-promoted catalytic activity of potassium carbonate for steam gasification of coal char: Transformations of sulfur. Fuel 2013, 112, 687–694. [Google Scholar] [CrossRef]
  36. Tang, J.; Wang, J. Catalytic steam gasification of coal char with alkali carbonates: A study on their synergic effects with calcium hydroxide. Fuel Process. Technol. 2016, 142, 34–41. [Google Scholar] [CrossRef]
  37. Bai, Y.; Lv, P.; Li, F.; Song, X.; Su, W.; Yu, G. Investigation into Ca/Na compounds catalyzed coal pyrolysis and char gasification with steam. Energy Convers. Manag. 2019, 184, 172–179. [Google Scholar] [CrossRef]
Figure 1. Schematic diagram of fixed bed reactor: (1) nitrogen cylinder; (2) gas flowmeter, (3) water pump, (4) ultrapure water, (5) reaction furnace, (6) water pipe, (7) cooling bottle, (8) drying bottle, (9) gas bags, (10) GC.
Figure 1. Schematic diagram of fixed bed reactor: (1) nitrogen cylinder; (2) gas flowmeter, (3) water pump, (4) ultrapure water, (5) reaction furnace, (6) water pipe, (7) cooling bottle, (8) drying bottle, (9) gas bags, (10) GC.
Energies 17 04650 g001
Figure 2. PC steam gasification’s gas release rate with and without various catalysts: (a) H2; (b) CO; (c) CO2.
Figure 2. PC steam gasification’s gas release rate with and without various catalysts: (a) H2; (b) CO; (c) CO2.
Energies 17 04650 g002
Figure 3. The theoretical and actual gas release rate of samples: (a) H2; (b) CO; (c) CO2. (Note: tail mark T indicates theoretical values).
Figure 3. The theoretical and actual gas release rate of samples: (a) H2; (b) CO; (c) CO2. (Note: tail mark T indicates theoretical values).
Energies 17 04650 g003
Figure 4. Theoretical and actual values of synthetic gas and component yields of different samples.
Figure 4. Theoretical and actual values of synthetic gas and component yields of different samples.
Energies 17 04650 g004
Figure 5. Carbon conversion vs. reaction time with different samples: (a) actual value; (b) comparison between actual and theoretical value.
Figure 5. Carbon conversion vs. reaction time with different samples: (a) actual value; (b) comparison between actual and theoretical value.
Energies 17 04650 g005
Figure 6. Surface micromorphology of different gasification semi-char: (a) I; (b) I-1; (c) I-2; (d) I-3; (e) II-1; (f) II-2; (g) II-3; (h) III. Note: Yellow circles meant the area for the typical surface microstructure.
Figure 6. Surface micromorphology of different gasification semi-char: (a) I; (b) I-1; (c) I-2; (d) I-3; (e) II-1; (f) II-2; (g) II-3; (h) III. Note: Yellow circles meant the area for the typical surface microstructure.
Energies 17 04650 g006
Table 1. Proximate and ultimate analyses of PC.
Table 1. Proximate and ultimate analyses of PC.
SampleProximate Analysis (wt.%)Ultimate Analysis (wt.%)
FCVMAshCHSNO
PC86.7310.972.391.820.9805.5171.3570.326
Note: Based on dry basis.
Table 2. Compositions of BAMS in different samples.
Table 2. Compositions of BAMS in different samples.
SamplesKClCaCO3SiO2
I000
I-10.15 g00
I-200.045 g0
I-3000.105 g
II-10.15 g0.045 g0
II-20.15 g00.105 g
II-300.045 g0.105 g
III0.15 g0.045 g0.105 g
Table 3. Key characteristic parameter of syngas release of different samples.
Table 3. Key characteristic parameter of syngas release of different samples.
SamplesTm (min) (Theoretical Value)Rm (mmol/min) (Theoretical Value)
H2COCO2H2COCO2
I1010700.390.140.15
I-12050501.060.630.36
I-27070700.440.140.19
I-31020400.380.140.14
II-130 (40)30 (40)100 (100)1.11 (1.08)0.67 (0.68)0.33 (0.32)
II-230 (40)30 (50)70 (100)0.81 (1.01)0.42 (0.62)0.28 (0.26)
II-310 (40)40 (60)40 (60)0.33 (0.41)0.14 (0.16)0.14 (0.18)
III30 (40)20 (50)70 (110)1.02 (1.03)0.60 (0.65)0.26 (0.30)
Tm—maximum gas release rate time; Rm—maximum gas release rate.
Table 4. Final carbon conversion of different samples.
Table 4. Final carbon conversion of different samples.
SamplesII-1I-2I-3II-1II-2II-3III
Xf (theoretical)0.390.800.400.310.84 (0.82)0.63 (0.72)0.32 (0.34)0.74 (0.77)
Table 5. Raman band area ratios of semi-chars.
Table 5. Raman band area ratios of semi-chars.
SamplesIG/Iall (AD) (TD)ID3/IG (AD) (TD)
I0.1071.01
I-10.092 (−0.015)1.18 (0.17)
I-20.100 (−0.007)1.03 (0.02)
I-30.118 (0.011)0.75 (−0.26)
II-10.076 (−0.031)1.56 (0.55)
II-20.095 (−0.012)1.16 (0.15)
II-30.109 (0.002)0.87 (−0.14)
III0.083 (−0.024)1.46 (0.15)
AD—actual value difference with petroleum coke; TD—theoretical value difference with petroleum coke.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wei, J.; Tian, L.; Sun, J.; Ding, K.; Li, B.; Bai, Y.; Rout, L.; Liu, X.; Xu, G.; Yu, G. Synergy Effect of High K-Low Ca-High Si Biomass Ash Model System on Syngas Production and Reactivity Characteristics during Petroleum Coke Steam Gasification. Energies 2024, 17, 4650. https://doi.org/10.3390/en17184650

AMA Style

Wei J, Tian L, Sun J, Ding K, Li B, Bai Y, Rout L, Liu X, Xu G, Yu G. Synergy Effect of High K-Low Ca-High Si Biomass Ash Model System on Syngas Production and Reactivity Characteristics during Petroleum Coke Steam Gasification. Energies. 2024; 17(18):4650. https://doi.org/10.3390/en17184650

Chicago/Turabian Style

Wei, Juntao, Lina Tian, Jiawei Sun, Kuan Ding, Bin Li, Yonghui Bai, Lipeeka Rout, Xia Liu, Guangyu Xu, and Guangsuo Yu. 2024. "Synergy Effect of High K-Low Ca-High Si Biomass Ash Model System on Syngas Production and Reactivity Characteristics during Petroleum Coke Steam Gasification" Energies 17, no. 18: 4650. https://doi.org/10.3390/en17184650

APA Style

Wei, J., Tian, L., Sun, J., Ding, K., Li, B., Bai, Y., Rout, L., Liu, X., Xu, G., & Yu, G. (2024). Synergy Effect of High K-Low Ca-High Si Biomass Ash Model System on Syngas Production and Reactivity Characteristics during Petroleum Coke Steam Gasification. Energies, 17(18), 4650. https://doi.org/10.3390/en17184650

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop