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Article

The Effect of CaO on the CO and NOx Emission Characteristics of Fast-Growing Grass Combustion

School of Energy and Mechanical Engineering, Hunan University of Humanities, Science and Technology, Loudi 417000, China
*
Author to whom correspondence should be addressed.
Processes 2023, 11(3), 760; https://doi.org/10.3390/pr11030760
Submission received: 14 December 2022 / Revised: 22 February 2023 / Accepted: 2 March 2023 / Published: 4 March 2023
(This article belongs to the Special Issue Gas Emissions Control and Utilization)

Abstract

:
Fast-growing grass is a biomass material with characteristics such as high temperature and drought resistance; rapid growth and development; and repeated germination and cutting. Therefore, it is a popular biomass fuel. It is required that the pollutants produced during the biomass combustion process are appropriately controlled. For this purpose, our study analyses the influence of combustion temperature and calcium oxide (CaO) on the nitrogen oxides (NOx) and carbon monoxide (CO) emission characteristics of fast-growing grass combustion using the biomass combustion flue gas analysis and testing platform. The results of our analysis revealed that CaO additive can simultaneously reduce the peak and total NOx emissions at 750 °C. Particularly, 5% CaO demonstrated a significant control effect on the NOx emission from the fast-growing grass combustion process, with a peak and total emissions reduction of 47.05% and 56.81%, respectively. In addition, with an increase in temperature, the CO emission curve attains a second peak higher than the first peak, and the peak and total emissions show a decreasing trend.

1. Introduction

In recent years, especially with the rapid development of the world economy and advancement in technology, the demand for energy among humans has been on the increase. Moreover, the continuous consumption of fossil fuels poses a series of environmental problems [1]. According to the statistics of the International Energy Agency, global energy demand and emissions increased by 5% in 2021, compared with 2020 [2], to about the same level attained before the new corona pneumonia epidemic (around 3.3 billion tonnes). Thus, to deal with this energy crisis and environmental problems, it is necessary to adjust the energy structure actively and develop renewable energy vigorously. Interestingly, biomass energy is an ideal alternative energy source because of its wide distribution, rich raw materials, and low pollution [3,4,5,6]. Specifically, compared with other types of biomass, fast-growing grass is characterized by high temperature and drought resistance; rapid growth and development; and repeated germination and cutting [7,8,9], which can quickly capture and fix carbon and regulate the atmospheric greenhouse effect. As a biomass fuel, fast-growing grass has the disadvantages such as low calorific value, low bulk density, and being difficult to collect and transport. It can be used as a soil remediation crop in abandoned mining areas and a stable fuel for biomass power plants if planted on a large scale. In addition, it can grow to about 4–5 m in height and 50–60 mm in diameter, which is highly suitable for biomass feedstock. It can also be used as asphalt, wall materials, wood-plastic composites, etc. [10,11,12].
Furthermore, the methods to utilize biomass resources include gasification, pyrolysis, direct combustion, etc. [13]. Among them, direct combustion technology is the most widely used method at present. This is because steam heat generated via burning biomass can operate steam turbines and generate electricity, thus, converting biomass energy into electrical energy [5]. However, the utilization of biomass energy is accompanied by the emissions of pollutants, such as nitrogen oxides, sulfur oxides, and particulate dust. Besides environmental pollution, these pollutants may also cause harm to the environment and, much more, human health. Specifically, nitrogen oxides (NOx) not only cause acid rain and haze, but they also increase the content of PM2.5 in the atmosphere [14] and, much more, reacts with hydrocarbons to produce photochemical smog [15,16]. Moreover, carbon monoxide (CO) is a colorless, odorless, and non-irritating toxic gas, which is almost insoluble in water. In addition, it does not easily react with other substances in the air and can remain in the atmosphere for 2–3 years. Therefore, it is harmful to human health in the case of severe local pollution. Although the environmental protection work in China has made some progress, this environmental situation is still grim.
Nevertheless, for NOx emission control, many scholars have found that the appropriate utilization of additives can effectively reduce the NOx emission produced by biomass fuels [8]. Many scholars [17,18,19,20,21] have studied the effect of additives on the wet denitrification reaction. Specifically, the direct use of the additives is favored by a variety of scholars due to ease of operation, convenience, low cost, and small space occupation. For example, Chen [22] achieved better NOx emission reduction via mixed combustion with a 5% additive in microalgae. Particularly, the results of the analysis show that the reduction order of the NOx emission peak is CuCl2 > SiC > ZnCl2 > MgO. In addition, Liu [23] found that Na2CO3 and K2CO3 additives have certain catalytic reduction and immobilization effects on NOx release during litchi peel combustion. In addition, Burak [24] found that AlNH4(SO4)2 and NH4MgPO4 additives can reduce the conversion rate of fuel-N to NO in the sunflower shell combustion process by 40%. Furthermore, Liu [25] studied the emission characteristics of NOx and N2O in the fluidized combustion process of rice straw and pine sawdust after adding limestone at 800 °C. It was found that introducing limestone into the circulating fluidized bed (CFB) reactor reduced the NO emission. In addition, it was observed that when the Ca/S molar ratio was 2:1, 5:1, and 10:1, the NO reduction rates were 11.8, 15.1, and 24.9%, respectively. In addition, a ceramic-supported platinum catalyst on a ceramic carrier (TiO2, MnO2), such as Cu(NO3)2·3H2O, H2PtCl6, and 99.5% pure urea solutions can reduce the emissions of polluting gases such as NOx [26,27,28].
Furthermore, a series of research works have been conducted on calcium-based additives. For example, Meng et al. [29] used CaO and MgO or kaolin as additives for biomass particle combustion and discovered that the additive of MgO can reduce the content of K and Cl in ash. In addition, Lindstrom et al. [30] mixed CaO with grains rich in alkali elements, such as barley and oats, for combustion. The results demonstrated that lime contributes to the formation of high-temperature molten potassium calcium phosphate, which slows ash deposition. In addition, Tomáš et al. [31] studied the effect of catalytic additives, such as calcium oxide (CaO) and potassium permanganate (KMnO4), on the emissions of wheat bran and beet pulp particles by using a low-power boiler. The results of their research revealed that the additive of 15% CaO and 5% KMnO4 could minimize NOx emission. Much more, Zhang et al. studied the migration characteristics of sulfur and nitrogen during the combustion process of sludge with CaO additive. The results showed that in addition to promoting the conversion of HCN to other nitrogen-contained gases, CaO can promote the formation of NO from HCN and NH3; and, much more, facilitate the reduction reaction of NO to N2 [32]. Further still, Liu [33] investigated the catalytic effect of a regulator (CaO) on nitrogen conversion during sewage sludge pyrolysis and discovered that CaO usage is a promising strategy to effectively reduce the production of NOx precursors and, much more, increase the generation of pollution-free N2.
Regarding the reduction of CO emission, most authors have focused on controlling combustion temperature and air flow [34]; moreover, it is also possible to reduce CO emission by adding CaO. For example, Hayhurst et al. [35] in their work, were able to half the concentration of CO after introducing CaO. More so, Leckner et al. [36] found that a 165 MW CFB boiler emits a significantly lower concentration of CO when some CaO was present in the bed layer. However, they did not consider the effect of different amounts of CaO on CO emission. Thus, there exists a gap in the study of the effect of additives on the NOx and CO emission characteristics of fast-growing grass combustion.
To bridge this gap, using fast-growing grass as our biomass material, we investigate the NOx and CO emission characteristics at different combustion temperatures (600, 700, 750, 800, and 850 °C) and of different mass fractions (3, 5, 10, and 15%) of CaO additives at 750 °C. The experiment is conducted using a self-built tube furnace to provide some data references for the emission control of NOx and CO during the combustion process and a theoretical basis for its efficient and low-pollution combustion.

2. Materials and Methods

2.1. Materials

The experimental samples of fast-growing grass were taken from a planting base in Yangshi Town, Loudi, Hunan Province, China. Subsequently, they were rinsed and pretreated before the experiment. First, the samples were thermally dried at 106 °C in an electric drying oven for 12 h; afterward, the samples were broken using a disintegrator (model: dfy-300) and sieved with an 80-mesh screen to achieve particles with diameters less than 200 μm; they were well labeled and placed in a dry ware for later use. Specifically, the additive applied was reagent grade (AR) CaO with a purity greater than 98.0%. During the experiment, two types of samples were put to the test: (1) pure fast-growing grass samples; (2) a combination of fast-growing grass samples and CaO additives, with mass fractions of 3, 5, 10, and 15%, respectively.
A muffle furnace (model: 5E-MF6100) was employed for industrial analysis. In addition, the volatile content was measured according to the ASTME0870-82R98E01 standard; the ash content was measured according to the ASTME1755-01 standard; the fixed carbon content was obtained by difference method. Furthermore, the elemental analysis was performed using an elemental analyzer (model: Vario EL cube); the calorimeter (model: WZR-1TCⅡ) was used to measure the upper calorific value, and the results are shown in Figure 1. In Figure 1, it is shown that fast-growing grass had a lower ash content and higher volatile content and was prone to pyrolysis.

2.2. Apparatus and Methods

The schematic diagram of the experimental system is shown in Figure 2. Specifically, the combustion experiment was conducted using a quartz tube reactor in a tubular furnace (OTF-1200X) with a length of 600 mm and an inner diameter of 43 mm. Consequently, the NOx and CO emissions were measured by the flue gas analyzer (Testo 350), and the data were monitored at the computer terminal.
The specific experimental steps are as follows: we set the experimental target temperature on the temperature control box of the tubular furnace; thereafter, using the flowmeter, we opened the air valve and control the flow of O2 and N2 to 0.2 and 0.8 L/min, respectively; after the temperature rose to the specified temperature, we weighed 0.2 g of the sample and corresponding proportion of CaO, laid them in the porcelain boat and stirred them for 100 times with a spoon; after this, we used the flue gas analyzer probe to measure the NOx and CO emissions at the flue gas outlet, and then monitored the data in real-time; the combustion reaction was deemed to be finished when the CO and NOx volume concentrations fell to 2 ppm. To reduce the error, each group conducted three experiments and took the average value.

2.3. Calculation Method

When the concentrations of CO and NOx emission dropped to 2 ppm, the combustion reaction was regarded to be finished, according to the experimental method. The time spent was thus the burnout time, which is noted as τ . We may refer to Liu [37] and Xu [38] for the calculation formula. The calculation method of the CO parameters is consistent with that of the NOx parameters.
(1) The average concentration C A C
C A C = 0 t C d t τ
where the unit of average concentration C A C is ppm; 0 t Cdt is the integral of the gas concentration over the response time; τ is the burnout time, seconds.
(2) Calculation of NOx volume ( V g )
Since the volumes of NOx and CO are negligible compared to the input air, the volume of NOx is approximately
V g = Q × τ × C A C 10 6
where the unit of gas volume V g  is L; Q is the input airflow, L/s.

3. Results and Discussion

3.1. The Effect of Combustion Temperature on CO Emission from Fast-Growing Grass Combustion

Generally, volatile-N to volatile-NOx and char-N to char-NOx are the two main sources of NOx in the flue gas. In the process of biomass utilization, the temperature of the boiler furnace is usually controlled below 900 °C, and the conversion of the fuel-N also occurs at this temperature [39,40]. The subsequent measurements and analysis were conducted below 900 °C.
In the early stage, we studied the NOx emission characteristics of fast-growing grass at 600, 700, 750, 800, and 850 °C. Please refer to the preliminary work for details [9]. From the results of our experiment, we observe that at 600 °C, the NOx generated by volatile combustion is delayed (65 s). In addition, the concentration is low, about 20 ppm, and the combustion reaction lasts for nearly 180 s. Second, there are two peaks of NOx emission during the combustion at 700, 750, 800, and 850 °C, corresponding to the volatile and semi-char combustion phase. Specifically, the first peak value is at about 20 s, and the peak value gradually increases with the increase in temperature. The second peak appears at 77, 58, 62, and 67 s, respectively, and the intensity is much lower than the first peak.
Following this, the flue gas measurements and analysis are also conducted on the CO emission generated by the burning of fast-growing grass under these five temperatures, and the results are shown in Figure 3.
It is evident from Figure 3 that when the combustion temperature is 600 °C, the maximum peak value of the CO emission curve is attained (2830 ppm), which is 28.16 times that of the minimum peak value (100.5 ppm). In addition, when the temperature rises to 700, 750, 800, and 850 °C, respectively, the first peak appears quickly, around 20 s. With a subsequent increase in temperature, the peak values show a decreasing delineation of 573.5, 697.5, 333.0, and 100.5 ppm, respectively; in addition, the peak emission also narrows. The analysis shows that the behavior of the formation of CO is closely related to temperature. Different from 600 °C, a second peak appears at 700, 750, 800, and 850 °C in the CO emission curve at about 46, 38, 42, and 39 s, respectively. With the subsequent increase in temperature, the peak decreases in a similar way as the first peak, however, the peak is higher than the first peak. Specifically, the peaks are 1090.5, 1479.5, 1044.5, and 723 ppm, respectively, which is similar to the burning rule of large particle wood briquette fuel in Chen Guohua’s research at 800 °C [41]. This may be because when the fast-growing grass fuel is just sent into the reactor the heat transfer rate between its interior and the surface is small; therefore, a small amount of CO-containing volatilization is released and gradually increases. When the surface temperature of the fast-growing grass fuel reaches the ignition point, the volatile content is ignited and begins to burn; subsequently, the CO concentration starts to drop, and, thus, the first peak appears. As the combustion continues, the heat continuously accumulates in the fast-growing grass fuel, accelerating the release of volatile matter, which causes the combustion reaction to intensify. At this time, the instantaneous consumption of O2 on the fuel surface increases while the airflow is constant; thus, an anoxic atmosphere is formed, which generates a large amount of CO. When the volatilized output reaches the maximum value, the CO emission curve attains a second peak, and the volatilized output at this time is greater than the amount of volatilized output during ignition; therefore, the second peak is higher than the first peak [41]. It is interesting to note that the peak CO emission of fast-growing grass burning at 750 °C is higher than that at 700 °C. This may be because 750 °C is the transition temperature from incomplete combustion to complete combustion. The research of Xu [42] shows a similar situation.
The total emissions of CO from fast-growing grass combustion at different temperatures are shown in Figure 4. It is evident from Figure 4 that the total CO emissions in the combustion process generally demonstrate a downward delineation with an increase in temperature. Specifically, when the temperature is 600 °C, the maximum value of CO emission is 1.899 mL, while when the temperature rises to 850 °C, the emission value is 0.619 mL, which is only 0.33 times the former. In addition, it is worth noting that in the range of 700–800 °C the temperature has little impact on the total emissions of CO; hence, the three emission curves are very close. When the temperature is 700 °C, the CO emission is 1.018 mL. When the temperature rises to 800 °C the CO emission only decreases to 0.912 mL, while at 750 °C, the CO emission exceeds the 700 °C emission. These results are consistent with the emission rule in Figure 3. Furthermore, considering that the emissions of CO (1.029 mL) and NOx (0.025 mL) [9] are large at 750 °C, the subsequent experiments are conducted at this temperature.

3.2. The Effect of CaO on CO Emission

At 750 °C, the CO emission curves from the mixed combustion of fast-growing grass and CaO additives with different mass fractions (3, 5, 10, and 15%) are shown in Figure 5.
As can be observed from Figure 5, introducing the CaO additive at 750 °C can reduce the maximum peak of the CO emission in the fast-growing grass combustion. This is because CaO additive can reduce CO emission in the early stage of combustion. At the same time, the effect of different mass fractions of CaO on CO emission varies. Except for the case of 10% additive, the maximum peak CO emission decreases with the increase of CaO additive. When the mass fraction of CaO is 3, 5, 10, and 15%, the maximum peak CO emission decreases by 21.83, 27.81, 26.24, and 30.34%, respectively, relative to the highest peak (1479.5 ppm) without additive. However, after 73 s, the presence of the CaO additive leads to an increase in the concentration of the CO emission and, much more, the extension of the combustion time. At the same time, after adding CaO additives, the first peak value increases to a certain extent, which may be due to the reaction of CaO with HCN in volatile matter of fast-growing grass to generate CO (CaO + 2 HCN → CaCN2 + CO + H2) [35]. However, the increase of the peak value does not follow a clear rule with additives. When the mass fraction of CaO is 3, 5, 10, and 15%, the peak value increases by 127, 79.5, 393.8 and 11.2 ppm, respectively. Generally speaking, 10% CaO additive is a special value, similar to 750 °C in Section 3.1, which may be the inflection point value generated by CO. Zhang et al. [43] noticed a similar phenomenon when they studied the effect of CaO granulated blast furnace slag on denitration performance. The internal mechanism is worth further study. Therefore, to better analyze the CO emission from the mixed combustion of fast-growing grass and CaO additives with different mass fractions at 750 °C, the curve of the total CO emission over time is obtained. See Figure 6 for details.
It is obvious from Figure 6 that the total CO emission from fast-growing grass combustion rises after adding CaO additive compared with no additive. This is because, in the late combustion period, CaO and ash mix together covering the fuel surface; this reduces the contact area between the remaining unburned fuel and oxygen to some extent. As a consequence, beyond making the fast-growing grass produce a little CO during oxygen-poor combustion, it also prolongs the reaction time, thereby making the total CO emission increase slightly. Particularly, the CO emission curves are not linear with CaO mass fractions. When the 3, 5, and 15% CaO additives are added, respectively, the total CO emission is similar. However, when the 10% CaO additive is added the total CO emission is highest (1.17 mL), which is 13.59% more than the value obtained without the CaO additive (1.03 mL). Therefore, it is not recommended to add a 10% CaO additive.

3.3. The Effect of CaO on NOx Emission

As shown in Figure 7, the CaO additive can inhibit the generation of volatile-NOx and char-NOx. Specifically, at 750 °C, after adding 3, 5, 10, and 15% CaO additives, respectively, the first peak value of NOx emission from fast-growing grass combustion decreased significantly by 42.55, 47.05, 39.01, and 40.89%, respectively. This is because CaO can catalyze HCN to generate N2, as shown in the equation 2 CiHj+ 2 HCN → N2 + (j + 1-k) H2 + 2 Ci+1Hk [44]; in addition, CaO can also react with HCN and NH3 in the pyrolysis stage to form N2, as shown in the equations CaO + 2 HCN → CaCN2 + CO + H2; CaCxNy → CaCx+ y/2 N2; and CaCx+ y NH3 → CaCxNy+ 3/2 yH2 [33,45,46]. Surprisingly, adding more additives does not show a better peak reduction effect. This is due to the fact that the number of active sites decreases when the amount of additives reaches a particular level because the active ingredients agglomerate or cover the additives’ surfaces. Similar findings have been noted in earlier research [16,47]. In addition, the second peak of the NOx emission from fast-growing grass combustion also decreases, especially when the mass fraction of CaO is more than 3%, and the second peak almost disappears. This may be attributed to the delayed effect of CaO on CO release (see Figure 5). When char-NOx is generated, CO still maintains a high concentration, which is not conducive to the formation of char-NOx under the reduction environment. At the same time, it was also found that the CaO additive not only affects the peak emission of NOx, but it also delays the occurrence of the two peaks.
It can be observed from Figure 8 that the CaO additive has a significant reduction effect on the total NOx emission of fast-growing grass combustion which varies from the CaO mass fraction. It is worth noting that the emission reduction rate of NOx is not directly related to the mass fraction of CaO. The emission reduction effect is worst at 10%, with a value of 26.13%. However, it is stronger when the mass fraction of CaO is 5% and 15%, and the values are 56.81% and 56.06%, respectively. This may be attributed to the mutual inhibition relationship between CO and NOx. When the CaO mass fraction is 10%, the emission concentration of CO is the lowest in the 36–51 s period (also a crucial time for volatile-NOx generation; see Figure 5); therefore, at this time, its ability to inhibit NOx generation is at its lowest. As a result, the peak emission of NOx generation occurs during this period (see Figure 7), which is the worst effect of the 10%. Considering the two factors of NOx the peak and total emissions, it can be concluded that the 5% CaO additive achieves the best comprehensive control effect on NOx emission from the combustion of fast-growing grass.

4. Conclusions

In this paper, a self-built tubular furnace experimental platform was used to investigate the emission reduction characteristics of NOx and CO from fast-growing grass combustion at different temperatures with different mass fractions of CaO additives. The following conclusions were drawn:
(1) Temperature is an important factor that affects CO emission from biomass combustion. With the increase in temperature, the CO emission curve attains a second peak higher than the first peak, and both the peak and total emissions show a decreasing trend (except 750 °C).
(2) CaO additive influences NOx emission from fast-growing grass combustion. Specifically, at 750 °C, it reduces the peak and total emissions of NOx. At the same time, considering the two factors, it is concluded that 5% CaO additive achieves the best comprehensive control effect on NOx emission from fast-growing grass combustion, with the peak and total emissions reduction of 47.05% and 56.81%, respectively.
(3) CaO additive also has an important impact on CO emission from fast-growing grass combustion. CaO additive reduces the peak emission of CO to a certain extent but increases the total emission of CO.
In order to further expand the research findings of this paper, it is necessary to observe the surface morphology of fast-growing grass after adding CaO additive using a scanning electron microscope in order to further analyze the mechanism of CaO on CO and NOx emissions.

Author Contributions

Data curation, Q.H. and Y.L.; investigation, Q.H. and Y.L.; methodology, H.L. (Heyun Liu); Project administration, H.L. (Haili Liu) and H.L. (Heyun Liu); writing-original draft, Y.L.; writing-review & editing, Y.L. and H.L. (Haili Liu). All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Hunan Provincial Natural Science Foundation of China (2021JJ50132) and the Youth Science and Technology Project of Hunan University of Humanities and Technology (2020QN05).

Data Availability Statement

All data used to support the findings of this study are included within the article.

Conflicts of Interest

The authors declare no conflict of interest.

Nomenclature

Cthe concentration
Vthe volume
Mthe molar mass
Qthe input airflow
Tthe temperature of the materials(K)
Abbreviations and acronyms
AlNH4(SO4)2Ammonium Aluminum Sulfatehydrate
CaCalCium
CaCN2CalCium Cyanamide
CaOCalCium Oxide
CFBCirCulating Fluidized Bed
ClChlorine
COCarbon Monoxide
CO2Carbon Dioxide
CuCl2CupriC Chloride
Cu(NO3)2CupriC Nitrate
H2 Hydrogen
HCNHydrogen Cyanide
H2PtCl6ChloroplatiniC ACid
KPotassium
K2CO3 Potassium Carbonate
KMnO4Potassium Permanganate
MgOMagnesium Oxide
MnO2Manganese Dioxide
N2Nitrogen
Na2CO3Sodium Carbonate
NH3Ammonia
NH4MgPO4Magnesium Ammonium Phosphate
NOxNitrogen Oxides, NO, N2O
PMPartiCulate Matter
SSulfur
SiCSiliCon Carbide
TiO2Titanium Dioxide
ZnCl2ZinC Chloride

References

  1. Chen, C.; Fan, D.; Zhao, J.; Qi, Q.; Huang, X.; Zeng, T.; Bi, Y. Study on microwave-assisted co-pyrolysis and bio-oil of Chlorella vulgaris with high-density polyethylene under activated carbon. Energy 2022, 247, 123508. [Google Scholar] [CrossRef]
  2. Zhongming, Z.; Linong, L.; Xiaona, Y.; Wangqiang, Z.; Wei, L. Global Energy Review 2021; IEA: Paris, France, 2021. [Google Scholar]
  3. Wang, K.; Khoo, K.S.; Chew, K.W.; Selvarajoo, A.; Chen, W.; Chang, J.; Show, P.L. Microalgae: The future supply house of biohydrogen and biogas. Front. Energy Res. 2021, 9, 660399. [Google Scholar] [CrossRef]
  4. Recalde, M.; Woudstra, T.; Aravind, P.V. Gasifier, solid oxide fuel cell integrated systems for energy production from wet biomass. Front. Energy Res. 2019, 7, 129. [Google Scholar] [CrossRef]
  5. Mu, L.; Li, T.; Wang, Z.; Shang, Y.; Yin, H. Influence of water/acid washing pretreatment of aquatic biomass on ash transformation and slagging behavior during co-firing with bituminous coal. Energy 2021, 234, 121286. [Google Scholar] [CrossRef]
  6. Kobyłecki, R.; Zarzycki, R.; Bis, Z.; Panowski, M.; Wiński, M. Numerical analysis of the combustion of straw and wood in a stoker boiler with vibrating grate. Energy 2021, 222, 119948. [Google Scholar] [CrossRef]
  7. Lei, X. Carbon sink grass and its carbon sink mechanism. Agric. Eng. 2015, 5, 38–43. [Google Scholar]
  8. Lei, X. Comprehensively carry out general secretary Xi Jinping’s important strategic thought on ecological civilization construction. Energy China 2017, 668, 101–107. [Google Scholar]
  9. Liu, H.; Hong, Q.; Liu, H.; Huang, Z.; Zhang, X.; Chen, W.; Zeng, X.; Pan, S. Effects of temperature and additives on NOx emission from combustion of Fast-Growing grass. Front. Energy Res. 2021, 9, 772755. [Google Scholar] [CrossRef]
  10. Hu, B. Strength and Thermal Properties of Pennisetum—Gypsum Wall Material. Master’s Thesis, Hunan University, Changsha, China, 2018. [Google Scholar]
  11. Nie, S.; Li, Q.; Li, P.; Wu, Q.; Liu, K. Pavement performance of fast-growing grass fiber asphalt mixture. Highw. Eng. 2021, 46, 183–187. [Google Scholar]
  12. Wang, Q. The Preparation and Characterization of Fast-Growing Wood/Plastic Composites. Master’s Thesis, Central South University of Forestry & Technology, Changsha, China, 2018. [Google Scholar]
  13. Szatyłowicz, E.; Skoczko, I. Evaluation of the PAH content in soot from solid fuels combustion in low power boilers. Energies 2019, 12, 4254. [Google Scholar] [CrossRef] [Green Version]
  14. Xu, Q.; Wang, S.; Jiang, J.; Bhattarai, N.; Li, X.; Chang, X.; Qiu, X.; Zheng, M.; Hua, Y.; Hao, J. Nitrate dominates the chemical composition of PM2.5 during haze event in Beijing, China. Sci. Total Environ. 2019, 689, 1293–1303. [Google Scholar] [CrossRef]
  15. Liu, Y.; Gao, F.; Yi, H.; Yang, C.; Zhang, R.; Zhou, Y.; Tang, X. Recent advances in selective catalytic oxidation of nitric oxide (NO-SCO) in emissions with excess oxygen: A review on catalysts and mechanisms. Environ. Sci. Pollut. Res. 2021, 28, 2549–2571. [Google Scholar] [CrossRef] [PubMed]
  16. Yu, Z.; Fan, X.; Gan, M.; Chen, X. Effect of Ca-Fe oxides additives on NOx reduction in iron ore sintering. J. Iron Steel Res. Int. 2017, 24, 1184–1189. [Google Scholar] [CrossRef]
  17. Zamansky, V.M.; Lissianski, V.V.; Maly, P.M.; Ho, L.; Rusli, D.; Gardiner, W.C., Jr. Reactions of sodium species in the promoted SNCR process. Combust. Flame 1999, 117, 821–831. [Google Scholar] [CrossRef]
  18. Bae, S.W.; Roh, S.A.; Kim, S.D. NO removal by reducing agents and additives in the selective non-catalytic reduction (SNCR) process. Chemosphere 2006, 65, 170–175. [Google Scholar] [CrossRef] [PubMed]
  19. Niu, S.; Han, K.; Lu, C. Experimental study on the effect of urea and additive injection for controlling nitrogen oxides emissions. Environ. Eng. Sci. 2010, 27, 47–53. [Google Scholar] [CrossRef]
  20. Gasnot, L.; Dao, D.Q.; Pauwels, J.F. Experimental and kinetic study of the effect of additives on the ammonia based SNCR process in low temperature conditions. Energy Fuels 2012, 26, 2837–2849. [Google Scholar] [CrossRef]
  21. Wang, F.; Chen, T.; Jin, M.; Lu, P. Simultaneous Desulfurization and Denitrification from Flue Gas Using Urea/Piperazine Solution. Adv. Mater. Res. 2014, 881–883, 641–644. [Google Scholar] [CrossRef]
  22. Chen, C.; Chen, F.; Cheng, Z.; Chan, Q.; Kook, S.; Yeoh, G. Emissions characteristics of NOx and SO2 in the combustion of microalgae biomass using a tube furnace. J. Energy Inst. 2017, 90, 806–812. [Google Scholar] [CrossRef]
  23. Liu, C.; Liu, J.; Evrendilek, F.; Xie, W.; Kuo, J.; Buyukada, M. Bioenergy and emission characterizations of catalytic combustion and pyrolysis of litchi peels via TG-FTIR-MS and Py-GC/MS. Renew. Energy 2020, 148, 1074–1093. [Google Scholar] [CrossRef]
  24. Ulusoy, B.; Anicic, B.; Zhao, L.; Lin, W.; Lu, B.; Wang, W.; Dam-Johansen, K.; Wu, H. Multifunctional additives for NOx abatement in fluidized bed biomass combustion. Energy Fuels 2021, 35, 12367–12379. [Google Scholar] [CrossRef]
  25. Liu, X.; Yang, X.; Xie, G.; Yu, Y. NO emission characteristic during fluidized combustion of biomass with limestone addition. Fuel 2021, 291, 120264. [Google Scholar]
  26. Gaze, B.; Knutel, B.; Jajczyk, M.; Wacławek, A.; Bukowski, P.; Dębowski, M. Analysis of the use of catalytic additives for combustion with wood pellets in a low-power boiler. Rynek Energii 2021, 4, 93–98. [Google Scholar]
  27. Gaze, B.; Romanski, L.; Kulazynski, M. The concept of using urea to reduce NO (x) emissions from low power biomass boilers. Przem. Chem. 2020, 99, 569–573. [Google Scholar]
  28. Gaze, B.; Hrywna, D.; Romanski, L.; Kulazynski, M. Effect of fuel type and active substance addition on exhaust gas emissions from vehicles powered by a spark ignition engine. Przem. Chem. 2021, 100, 73–78. [Google Scholar]
  29. Meng, J.; Zhang, X.; Ai, Y.; Yue, H.; Li, X.; Chen, R. Deslagging of Eichhornia crassipers and Pistia stratiotes biomass pellets. Energy Rep. 2021, 7, 822–829. [Google Scholar] [CrossRef]
  30. Lindström, E.; Sandström, M.; Boström, D.; Öhman, M. Slagging characteristics during combustion of cereal grains rich in phosphorus. Energy Fuels 2007, 21, 710–717. [Google Scholar] [CrossRef]
  31. Najser, T.; Gaze, B.; Knutel, B.; Verner, A.; Najser, J.; Mikeska, M.; Chojnacki, J.; Němček, O. Analysis of the effect of catalytic additives in the agricultural waste combustion process. Materials 2022, 15, 3526. [Google Scholar] [CrossRef]
  32. Zhang, H.; Gong, Z.; Liu, L.; Wang, Z.; Li, X. Study on the migration characteristics of sulfur and nitrogen during combustion of oil sludge with CaO additive. Energy Fuels 2020, 34, 6124–6135. [Google Scholar] [CrossRef]
  33. Liu, H.; Zhang, Q.; Hu, H.; Liu, P.; Hu, X.; Li, A.; Yao, H. Catalytic role of conditioner CaO in nitrogen transformation during sewage sludge pyrolysis. Proc. Combust. Inst. 2015, 35, 2759–2766. [Google Scholar] [CrossRef]
  34. Xing, X.; Xing, Y.; Yu, J.; Li, Y.; Ma, P.; Xu, B. Characteristics of CO and NO emission from municipal solid waste combustion. Chin. J. Process Eng. 2017, 17, 866–872. [Google Scholar]
  35. Hayhurst, A.N.; Lawrence, A.D. The effect of solid CaO on the production of NOx and N2O in fluidized bed combustors: Studies using pyridine as a prototypical nitrogenous fuel. Combust. Flame 1996, 105, 511–527. [Google Scholar] [CrossRef]
  36. Leckner, B.; Karlsson, M.; Mjornell, M.; Hagman, U. Emissions from a 165 MWth circulating fluidised-bed boiler. J. Inst. Energy 1992, 65, 122–130. [Google Scholar]
  37. Liu, X.; Luo, Z.; Yu, C. Effect of limestone on the emission of NO during petroleum coke combustion. Fuel 2018, 224, 1–9. [Google Scholar] [CrossRef]
  38. Xu, G.; Ou, J.; Fang, B.; Wei, H.; Hu, T.; Wang, H. NOX emission from the combustion of mixed fuel pellets of Fenton/CaO-conditioned municipal sludge and rice husk. Environ. Pollut. 2021, 281, 117018. [Google Scholar] [CrossRef]
  39. Vermeulen, I.; Block, C.; Vandecasteele, C. Estimation of fuel-nitrogen oxide emissions from the element composition of the solid or waste fuel. Fuel 2012, 94, 75–80. [Google Scholar] [CrossRef]
  40. Shah, I.A.; Gou, X.; Wu, J. Simulation study of an Oxy-Biomass-Based boiler for nearly zero emission using aspen plus. Energies 2019, 12, 1949. [Google Scholar] [CrossRef] [Green Version]
  41. Chen, G.; Li, Y.; Peng, H.; Li, Y.; Jiang, Z. Characteristics of flue gas emissions during large wood pellet combustion. Trans. Chin. Soc. Agric. Eng. 2015, 31, 215–220. [Google Scholar]
  42. Xu, Q.; Peng, W.; Ling, C. An experimental analysis of soybean straw combustion on both CO and NOx emission characteristics in a tubular furnace. Energies 2020, 13, 1587. [Google Scholar] [CrossRef] [Green Version]
  43. Zhang, L.; Jia, Y.; Shu, H.; Zhang, L.; Lu, X.; Bai, F.; Zhao, Q.; Tian, D. The effect of basicity of modified ground granulated blast furnace slag on its denitration performance. J. Clean. Prod. 2021, 305, 126800. [Google Scholar] [CrossRef]
  44. Tan, H.; Wang, X.; Wang, C.; Xu, T. Characteristics of HCN removal using CaO at high temperatures. Energy Fuels 2009, 23, 1545–1550. [Google Scholar] [CrossRef]
  45. Fu, S.; Song, Q.; Tang, J.; Yao, Q. Effect of CaO on the selective non-catalytic reduction deNOx process: Experimental and kinetic study. Chem. Eng. J. 2014, 249, 252–259. [Google Scholar] [CrossRef]
  46. Zhang, Q.; Liu, H.; Lu, G.; Yi, L.; Hu, H.; Chi, H.; Yao, H. Mechanism of conditioner CaO on NOx precursors evolution during sludge steam gasification. P. Combust. Inst. 2017, 36, 4003–4010. [Google Scholar] [CrossRef]
  47. Sun, J.; Zhao, B.; Su, Y. Advanced control of NO emission from algal biomass combustion using loaded iron-based additives. Energy 2019, 185, 229–238. [Google Scholar] [CrossRef]
Figure 1. The ultimate and proximate analysis of fast-growing grass samples (% dry weight).
Figure 1. The ultimate and proximate analysis of fast-growing grass samples (% dry weight).
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Figure 2. Schematic diagram of the experimental system.
Figure 2. Schematic diagram of the experimental system.
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Figure 3. CO emission curve of fast-growing grass combustion at different temperature.
Figure 3. CO emission curve of fast-growing grass combustion at different temperature.
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Figure 4. Total CO emission curve of fast-growing grass combustion at different temperatures.
Figure 4. Total CO emission curve of fast-growing grass combustion at different temperatures.
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Figure 5. CO emission curve of fast-growing grass combustion with CaO additive at 750 °C.
Figure 5. CO emission curve of fast-growing grass combustion with CaO additive at 750 °C.
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Figure 6. Total CO emission curve of fast-growing grass combustion with CaO additive at 750 °C.
Figure 6. Total CO emission curve of fast-growing grass combustion with CaO additive at 750 °C.
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Figure 7. NOx emission curve of fast-growing grass combustion with CaO additive at 750 °C.
Figure 7. NOx emission curve of fast-growing grass combustion with CaO additive at 750 °C.
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Figure 8. Total NOx emission curve of fast-growing grass combustion with CaO additive at 750 °C.
Figure 8. Total NOx emission curve of fast-growing grass combustion with CaO additive at 750 °C.
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Li, Y.; Hong, Q.; Liu, H.; Liu, H. The Effect of CaO on the CO and NOx Emission Characteristics of Fast-Growing Grass Combustion. Processes 2023, 11, 760. https://doi.org/10.3390/pr11030760

AMA Style

Li Y, Hong Q, Liu H, Liu H. The Effect of CaO on the CO and NOx Emission Characteristics of Fast-Growing Grass Combustion. Processes. 2023; 11(3):760. https://doi.org/10.3390/pr11030760

Chicago/Turabian Style

Li, Yan, Qingchao Hong, Haili Liu, and Heyun Liu. 2023. "The Effect of CaO on the CO and NOx Emission Characteristics of Fast-Growing Grass Combustion" Processes 11, no. 3: 760. https://doi.org/10.3390/pr11030760

APA Style

Li, Y., Hong, Q., Liu, H., & Liu, H. (2023). The Effect of CaO on the CO and NOx Emission Characteristics of Fast-Growing Grass Combustion. Processes, 11(3), 760. https://doi.org/10.3390/pr11030760

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