Plasma-Assisted Biomass Gasiﬁcation with Focus on Carbon Conversion and Reaction Kinetics Compared to Thermal Gasiﬁcation

: Compared to conventional allothermal gasiﬁcation of solid fuels (e.g., biomass, charcoal, lignite, etc.), plasma-assisted gasiﬁcation offers an efﬁcient method for applying energy to the gasiﬁcation process to increase the ﬂexibility of operation conditions and to increase the reaction kinetics. In particular, non-thermal plasmas (NTP) are promising, in which thermal equilibrium is not reached and electrons have a substantially higher mean energy than gas molecules. Thus, it is generally assumed that in NTP the supplied energy is utilized more efﬁciently for generating free radicals initiating gasiﬁcation reactions than thermal plasma processes. In order to investigate this hypothesis, we compared purely thermal to non-thermal plasma-assisted gasiﬁcation of biomass in steam in a drop tube reactor at atmospheric pressure. The NTP was provided by means of gliding arcs between two electrodes aligned in the inlet steam ﬂow with an electric power of about 1 kW. Reaction yields and rates were evaluated using measured gas temperatures by the optical technique. The ﬁrst experimental results show that the non-thermal plasma not only promotes the carbon conversion of the fuel particles, but also accelerates the reaction kinetics. The carbon conversion is increased by nearly 10% using wood powder as the fuel. With charcoal powder, more than 3% are converted into syngas.


Introduction
During the "Energiewende", the provision of a stable and CO 2 -neutral energy structure through the implementation of renewable energy sources (e.g., photovoltaics, wind turbines, biomass and hydropower) has attracted increasing attention. Due to fluctuations in solar radiation and wind distribution, there will be a temporal and regional mismatch between electricity production and consumption. Therefore, a flexible storage concept for renewable energy is desirable. Chemical energy storage targeting the formation of energetic base chemicals or fuels is a viable option for long-term energy storage (see, e.g., [1]). Recently, plasma application for gasification of biomass, municipal waste, The influence of plasma on the chemical reactions is based on various factors, the two most important being thermal activation caused by gas heating and the generation of reactive species (neutral radicals and ions) caused by electron collision processes (hereafter called electronic activation). In this paper, a direct comparison between the plasma and thermal gasification was conducted in order to distinguish between thermal activation and electronic activation. Figure 1 presents the experimental method for plasma-assisted gasification. In case 1, conditioned main water steam is the working medium of the non-thermal plasma (NTP) generator. Based on the Energies 2018, 11, 1302 4 of 24 main water steam flow rate, the feed temperature, electrical plasma input power, and gas temperature of the water steam flow-down of the plasma generator can be calculated based on the assumption of thermal equilibrium. Later on, the gas temperature is measured by using the optical measurement technique. Biomass particles are introduced into the plasma generator in such a way that they fall through the region in which gliding arc plasma filaments occur, guaranteeing a close interaction between the plasma and the biomass particles. The gasification process, including drying, pyrolysis and charcoal gasification, takes place in the drop tube reactor in which the side water steam is added to adjust the steam-to-carbon (S/C) ratio. Finally, the product gas is sampled for gas analysis.
Energies 2018, 11, x FOR PEER REVIEW 4 of 24 gas temperature of the water steam flow-down of the plasma generator can be calculated based on the assumption of thermal equilibrium. Later on, the gas temperature is measured by using the optical measurement technique. Biomass particles are introduced into the plasma generator in such a way that they fall through the region in which gliding arc plasma filaments occur, guaranteeing a close interaction between the plasma and the biomass particles. The gasification process, including drying, pyrolysis and charcoal gasification, takes place in the drop tube reactor in which the side water steam is added to adjust the steam-to-carbon (S/C) ratio. Finally, the product gas is sampled for gas analysis.  Figure 2 shows the experimental method of thermal gasification as a reference case. The major difference compared to plasma-assisted gasification lies in the steam superheater, which brings the main water steam to the same temperature as that calculated for the plasma case (Tsteam,1 = Tsteam,2).
Based on a comparison between the plasma and the thermal case, the influence of the electronic activation on the gasification reactions can be experimentally determined.  Figure 3 shows the schematic of the experimental setup. The screw conveyor feeds the solid fuel particle with nitrogen purge into the reactor. Because the volume flow rates of nitrogen are known, nitrogen purge can further be used as a tracer for the calculation of the syngas production rates. The screw conveyor operates on the volumetric principle with twin screw compact feeder and allows a very precise feeding of the fuel particles. Table 1 presents the characteristics of the solid fuel particles.   Figure 2 shows the experimental method of thermal gasification as a reference case. The major difference compared to plasma-assisted gasification lies in the steam superheater, which brings the main water steam to the same temperature as that calculated for the plasma case (T steam,1 = T steam,2 ).

Experimental Setup
Energies 2018, 11, x FOR PEER REVIEW 4 of 24 gas temperature of the water steam flow-down of the plasma generator can be calculated based on the assumption of thermal equilibrium. Later on, the gas temperature is measured by using the optical measurement technique. Biomass particles are introduced into the plasma generator in such a way that they fall through the region in which gliding arc plasma filaments occur, guaranteeing a close interaction between the plasma and the biomass particles. The gasification process, including drying, pyrolysis and charcoal gasification, takes place in the drop tube reactor in which the side water steam is added to adjust the steam-to-carbon (S/C) ratio. Finally, the product gas is sampled for gas analysis.  Figure 2 shows the experimental method of thermal gasification as a reference case. The major difference compared to plasma-assisted gasification lies in the steam superheater, which brings the main water steam to the same temperature as that calculated for the plasma case (Tsteam,1 = Tsteam,2).
Based on a comparison between the plasma and the thermal case, the influence of the electronic activation on the gasification reactions can be experimentally determined.  Figure 3 shows the schematic of the experimental setup. The screw conveyor feeds the solid fuel particle with nitrogen purge into the reactor. Because the volume flow rates of nitrogen are known, nitrogen purge can further be used as a tracer for the calculation of the syngas production rates. The screw conveyor operates on the volumetric principle with twin screw compact feeder and allows a very precise feeding of the fuel particles. Table 1 presents the characteristics of the solid fuel particles.  Based on a comparison between the plasma and the thermal case, the influence of the electronic activation on the gasification reactions can be experimentally determined. Figure 3 shows the schematic of the experimental setup. The screw conveyor feeds the solid fuel particle with nitrogen purge into the reactor. Because the volume flow rates of nitrogen are known, nitrogen purge can further be used as a tracer for the calculation of the syngas production rates. The screw conveyor operates on the volumetric principle with twin screw compact feeder and allows a very precise feeding of the fuel particles. Table 1 presents the characteristics of the solid fuel particles.  The steam generator provides both the main water steam as the working medium and the side water steam for S/C adjustments (see Figures 1 and 2). The steam mass flow is measured and controlled by Coriolis and orifice plate flow meters, respectively. In the reference case, the steam superheater adjusts the temperature of the main water steam to the experimental condition. The plasma generator is installed on the top of the reactor. Two electrodes with a length of about 1 m ignite the non-thermal plasma in the window zone (see Figure 3).

Drop Tube Reactor
A major component of the test rig is the drop tube reactor with an electrical heater, as shown in Figure 4. The electrical furnace can heat the reactor up to 1000 °C, which is necessary for the gasification experiments. The reactor consists of a preheating zone, a window zone, a reaction zone and a quench zone. In the preheating zone, the furnace conditions the temperature of the side water steam for the experiment. After the preheating zone, both water steam flows are combined in the window zone, where fuel particles are added, and the gliding arc plasma is operated such that the fuel particles fall through the non-thermal plasma region. The window zone allowing optical access of the reactor for temperature measurements is equipped with two rectangular quartz glasses (length  The steam generator provides both the main water steam as the working medium and the side water steam for S/C adjustments (see Figures 1 and 2). The steam mass flow is measured and controlled by Coriolis and orifice plate flow meters, respectively. In the reference case, the steam superheater adjusts the temperature of the main water steam to the experimental condition. The plasma generator is installed on the top of the reactor. Two electrodes with a length of about 1 m ignite the non-thermal plasma in the window zone (see Figure 3).

Drop Tube Reactor
A major component of the test rig is the drop tube reactor with an electrical heater, as shown in Figure 4. The electrical furnace can heat the reactor up to 1000 • C, which is necessary for the gasification experiments. The reactor consists of a preheating zone, a window zone, a reaction zone and a quench zone. In the preheating zone, the furnace conditions the temperature of the side water Energies 2018, 11, 1302 6 of 24 steam for the experiment. After the preheating zone, both water steam flows are combined in the window zone, where fuel particles are added, and the gliding arc plasma is operated such that the fuel particles fall through the non-thermal plasma region. The window zone allowing optical access of the reactor for temperature measurements is equipped with two rectangular quartz glasses (length 500 mm, width 50 mm) mounted in the front and rear parts of the reactor. In order to compensate for the heat loss due to the glasses, the furnace heats the window zone to the same temperature as the preheating and the reaction zone. In the following reaction zone, gas samples are drawn at different heights by means of a vertically adjustable gas probe and transferred to gas analysis. This makes it possible to vary the residence time of fuel particles. The gas sample after suction in the probe is immediately cooled down to avoid further reactions. After passive cooling in the quench zone, the synthesis gas containing carbon monoxide and hydrogen enters the flare. The sampled gas probe, however, is investigated with a gas analyzer.
Energies 2018, 11, x FOR PEER REVIEW 6 of 24 500 mm, width 50 mm) mounted in the front and rear parts of the reactor. In order to compensate for the heat loss due to the glasses, the furnace heats the window zone to the same temperature as the preheating and the reaction zone. In the following reaction zone, gas samples are drawn at different heights by means of a vertically adjustable gas probe and transferred to gas analysis. This makes it possible to vary the residence time of fuel particles. The gas sample after suction in the probe is immediately cooled down to avoid further reactions. After passive cooling in the quench zone, the synthesis gas containing carbon monoxide and hydrogen enters the flare. The sampled gas probe, however, is investigated with a gas analyzer.

Non-Thermal Plasma Generator
The key component of the test-rig is the gliding arc plasma generator mounted from the top of the drop tube reactor. It consists of two diverging electrodes (schematically shown in Figure 5), which are supplied by a medium-frequency high-voltage power supply (Redline G2000, maximum voltage amplitude 10 kV, typical operation frequency 90 to 100 kHz). A 1-m-long feed structure is utilized in order to enable plasma operation in the window zone. Under optimum operation conditions, an average power of 1000 W can be supplied to the gliding arc plasma. The electrodes provide an electrode gap that increases in flow direction from 2 mm to about 20 mm. Arc ignition takes place at the smallest distance, where voltage amplitudes of less than 1.5 kV are required to maintain the plasma (see Figure 6). Due to the interaction of arc and gas flow, the arc moves along the diverging electrodes. Thus, the gliding arc is characterized by rapidly increasing length of the arc filament, causing increasing voltage. When the gliding arc reaches the electrode tips, it further expands into the volume until the voltage amplitude reaches about 8 kV. Then the arc extinguishes, and re-ignition occurs at the smallest distance. Thus, the arc voltage and current amplitudes vary on the time scale of milliseconds from 1.5 kV to 8 kV and 700 to 400 mA, respectively. By visual inspection, the maximum length of arc filaments was found to be 10 to 15 cm. Voltage and current clearly indicate that the gliding arc plasma is non-thermal.

Non-Thermal Plasma Generator
The key component of the test-rig is the gliding arc plasma generator mounted from the top of the drop tube reactor. It consists of two diverging electrodes (schematically shown in Figure 5), which are supplied by a medium-frequency high-voltage power supply (Redline G2000, maximum voltage amplitude 10 kV, typical operation frequency 90 to 100 kHz). A 1-m-long feed structure is utilized in order to enable plasma operation in the window zone. Under optimum operation conditions, an average power of 1000 W can be supplied to the gliding arc plasma. The electrodes provide an electrode gap that increases in flow direction from 2 mm to about 20 mm. Arc ignition takes place at the smallest distance, where voltage amplitudes of less than 1.5 kV are required to maintain the plasma (see Figure 6). Due to the interaction of arc and gas flow, the arc moves along the diverging electrodes. Thus, the gliding arc is characterized by rapidly increasing length of the arc filament, causing increasing voltage. When the gliding arc reaches the electrode tips, it further expands into the volume until the voltage amplitude reaches about 8 kV. Then the arc extinguishes, and re-ignition occurs at the smallest distance. Thus, the arc voltage and current amplitudes vary on the time scale of milliseconds from 1.5 kV to 8 kV and 700 to 400 mA, respectively. By visual inspection, the maximum length of arc filaments was found to be 10 to 15 cm. Voltage and current clearly indicate that the gliding arc plasma is non-thermal.  Inside of the rapidly changing arc volume, water molecules are ionized and dissociated. Due to the diffusion and rapid movement of the arc, ionization and dissociation products leave the arc filament and recombine. Thus, heat transfer from the arc filament to the surrounding water steam is enhanced. Because of the non-thermal character of the gliding arc filament ion and radical concentrations are strongly enhanced, as compared to thermal plasma with the same specific input enthalpy. Thus, an increase of reaction rates compared to thermal processes is to be expected [35].
Based on the measurements performed, it is not possible to distinguish ionization from dissociation of H2O; neither the degree of ionization nor the radical concentrations, e.g., of OHradicals or H-radicals, were measured. Thus, the only information available is the (time-resolved) voltage drop between the electrodes and the electrical current flowing through the non-thermal plasma (s. Figure 6). This allows the power input and the impedance of the non-thermal plasma to be calculated. The impedance varying between 2 kOhm and 20 kOhm clearly indicates that the plasma is a non-thermal one. Because of the lack of information about active plasma volume and local temperature in active plasma, this does not allow evaluation of the degree of ionization.
However, considering the rate coefficients for the following electron collision reaction [35,36]:  Inside of the rapidly changing arc volume, water molecules are ionized and dissociated. Due to the diffusion and rapid movement of the arc, ionization and dissociation products leave the arc filament and recombine. Thus, heat transfer from the arc filament to the surrounding water steam is enhanced. Because of the non-thermal character of the gliding arc filament ion and radical concentrations are strongly enhanced, as compared to thermal plasma with the same specific input enthalpy. Thus, an increase of reaction rates compared to thermal processes is to be expected [35].
Based on the measurements performed, it is not possible to distinguish ionization from dissociation of H2O; neither the degree of ionization nor the radical concentrations, e.g., of OHradicals or H-radicals, were measured. Thus, the only information available is the (time-resolved) voltage drop between the electrodes and the electrical current flowing through the non-thermal plasma (s. Figure 6). This allows the power input and the impedance of the non-thermal plasma to be calculated. The impedance varying between 2 kOhm and 20 kOhm clearly indicates that the plasma is a non-thermal one. Because of the lack of information about active plasma volume and local temperature in active plasma, this does not allow evaluation of the degree of ionization.
However, considering the rate coefficients for the following electron collision reaction [35,36]: H O e → H OH Inside of the rapidly changing arc volume, water molecules are ionized and dissociated. Due to the diffusion and rapid movement of the arc, ionization and dissociation products leave the arc filament and recombine. Thus, heat transfer from the arc filament to the surrounding water steam is enhanced. Because of the non-thermal character of the gliding arc filament ion and radical concentrations are strongly enhanced, as compared to thermal plasma with the same specific input enthalpy. Thus, an increase of reaction rates compared to thermal processes is to be expected [35].
Based on the measurements performed, it is not possible to distinguish ionization from dissociation of H 2 O; neither the degree of ionization nor the radical concentrations, e.g., of OH-radicals or H-radicals, were measured. Thus, the only information available is the (time-resolved) voltage drop between the electrodes and the electrical current flowing through the non-thermal plasma (s. Figure 6). This allows the power input and the impedance of the non-thermal plasma to be calculated. The impedance varying between 2 kOhm and 20 kOhm clearly indicates that the plasma is a non-thermal one. Because of the lack of information about active plasma volume and local temperature in active plasma, this does not allow evaluation of the degree of ionization.
However, considering the rate coefficients for the following electron collision reaction [35,36]: Using BOLSIG+ software [37] leads to the conclusion that dissociative processes forming OH-radicals will dominate.

Gas Temperature Measurement
In order to compare both gasification processes (thermal and plasma-assisted) appropriately, a comprehensive knowledge and control of the gas temperature is essential. Heat and mass transfer calculations help to estimate those temperatures at different locations and with varying process parameters. Nevertheless, completely integrating all influences was not possible due to there being too many unknown parameters in the complex system. Hence, temperature measurements were necessary, and were mostly achieved by standard thermocouples. Inside the drop tube reactor, especially in the areas close to the plasma, thermocouples could not be utilized since this would have led to flashovers. Therefore, we conducted the local temperature measurements of the water gas phase by the laser-based optical method Raman spectroscopy. This optical measurement method is non-invasive, as it does not interact with the reaction nor with the plasma. More details on temperature determination with Raman spectroscopy can be found in [38,39]. Additionally, a comprehensive description of the applied setup and analysis routine will be published in a forthcoming paper.
The gas temperature measurements took place without the addition of biomass particles, but under reactor conditions identical to those used for the gasification experiments. Because the emission spectrum of the plasma does not influence the measurement technique, the influence of the plasma on the gas stream temperatures could be determined. The gas temperature is optically measured in the window zone (see Figures 3 and 4), 15 cm below the tip of the ignited non-thermal plasma filament. In the thermal case, the same measurement point is chosen. In Figure 7, a schematic overview of the measurement setup applied to the drop tube reactor is shown. This paper wishes to emphasize the spatial measurement section with Raman spectroscopy, which permits a spatially resolved temperature determination. Using BOLSIG+ software [37] leads to the conclusion that dissociative processes forming OHradicals will dominate.

Gas Temperature Measurement
In order to compare both gasification processes (thermal and plasma-assisted) appropriately, a comprehensive knowledge and control of the gas temperature is essential. Heat and mass transfer calculations help to estimate those temperatures at different locations and with varying process parameters. Nevertheless, completely integrating all influences was not possible due to there being too many unknown parameters in the complex system. Hence, temperature measurements were necessary, and were mostly achieved by standard thermocouples. Inside the drop tube reactor, especially in the areas close to the plasma, thermocouples could not be utilized since this would have led to flashovers. Therefore, we conducted the local temperature measurements of the water gas phase by the laser-based optical method Raman spectroscopy. This optical measurement method is non-invasive, as it does not interact with the reaction nor with the plasma. More details on temperature determination with Raman spectroscopy can be found in [38,39]. Additionally, a comprehensive description of the applied setup and analysis routine will be published in a forthcoming paper.
The gas temperature measurements took place without the addition of biomass particles, but under reactor conditions identical to those used for the gasification experiments. Because the emission spectrum of the plasma does not influence the measurement technique, the influence of the plasma on the gas stream temperatures could be determined. The gas temperature is optically measured in the window zone (see Figures 3 and 4), 15 cm below the tip of the ignited non-thermal plasma filament. In the thermal case, the same measurement point is chosen. In Figure 7, a schematic overview of the measurement setup applied to the drop tube reactor is shown. This paper wishes to emphasize the spatial measurement section with Raman spectroscopy, which permits a spatially resolved temperature determination.

Raman spectroscopy
Under the given high temperature conditions at atmospheric pressure, Raman signal intensities are extremely low due to the generally low Raman scattering cross-sections and, moreover, the low

Raman spectroscopy
Under the given high temperature conditions at atmospheric pressure, Raman signal intensities are extremely low due to the generally low Raman scattering cross-sections and, moreover, the low molecule density in the gas stream. In addition, the reactor walls begin to emit black body radiation at elevated temperatures, which can superimpose the Raman signal in particular at temperatures above 700 • C. To counter these constraints, a high-power Nd: YAG continuous-emission (P max = 8 W) laser with an excitation wavelength of 532 nm was used for signal excitation and a measurement head (for signal excitation and collection) was designed in such a way as to achieve a very high degree of confocality. The latter was also required to be very robust to temperature, vibration and other disturbing influences applied to it. This was accomplished by a fiber-connected fully integrated design, which also allowed horizontal and vertical movement to measure temperatures at different heights and radial positions without realignment. A Shamrock i303 Spectrograph with 2400 lines/mm grating and a Newton EMCCD camera were used for signal acquisition. The integration time of a spectrum was 10 s, with 30 spectra recorded for each measurement point.
The Raman signal of the symmetrical stretching vibration v1 in the range of 3580 to 3670 cm −1 was analyzed to retrieve information of the gas temperature based on the changing shape of the data curve, which is temperature dependent. Due to the varying external light influences (sunlight, lamps, reactor radiation), all spectra had to be background-corrected prior to the further analyzing steps. The exact procedure will be explained in detail in a forthcoming publication. Table 2 summarizes experimental conditions. The furnace maintains the drop tube reactor at between 600 and 950 • C. The furnace temperature is set to be constant along the axis from preheating to reaction zones and gives the information of the temperature at the outer surface of reactor. The measurement of furnace temperature is conducted by thermocouples (Type K). The steam superheater conditions the temperature of the main water steam to 270 • C in the plasma case and to 650-730 • C in the thermal reference case. A mill grinds the solid particles to 700-1400 µm and to 90-1400 µm receiving wood and charcoal powder, respectively. The mass flows of the main and side water steam are set to 6 and 2 kg/h. This is due to the stability of plasma generator, which is explained in chapter 3.4. The mass flow of fuel is controlled by the rotational speed of the feeding screw. The selection of the mass flow is based on the assumption that no significant temperature change should occur due to endothermal steam gasification. An electrical power of around 900 W is applied and introduced into the reactor by the plasma generation. The estimation of the particle residence time is based on the force equilibrium (6) of gravitational force F G (7), drag force F W (8) and buoyancy force F B (9). The results of the range of particle diameters used in our experiments are given in Table 3.

Experimental Conditions
with Both thermal and non-thermal plasma-assisted gasification are complex processes. Their micro-kinetic description would require a large number of volume and surface reactions, which in the case of non-thermal plasma-assisted gasification had to be amended by electron and ion kinetics. In order to simplify the evaluation of the results, only the following overall gasification reaction has been taken into consideration: CH x O y + H 2 O → H 2 + CO + CH 4 + CO 2 + tar (11) The concentrations of the gas components such as O 2 , H 2 , CO, CH 4 and CO 2 have been measured with a gas analyzer (ABB AO2000 System). The nitrogen concentration is calculated from the total gas composition as the remaining gas. Each individual gas volume flow rate can be determined by the known nitrogen flow rate, which is controlled by mass flow controllers.

Plasma Stability
The stability of the generated plasma plays an essential role in the gasification process. It can be influenced by the working medium, working temperature, electrode geometry, process parameters, etc. The experiments were operated using a non-thermal plasma generator with preheated air and water steam. Figure 8 shows that the expansion of the plasma filaments is almost constant under parameter variations of the gas volume flow rate between 4 and 10 kg/h and furnace temperature between 25 and 780 • C. The output of the power supply to the plasma generator power remains stable within a range of +/−10% around the mean. However, in cases of water steam plasma, the plasma stability becomes an issue depending on the gas volume rate and furnace temperature. From commissioning tests with water steam, NTP turns out to be less stable when the furnace temperature is above 800 °C. Reduced visible plasma expansion of filaments has been observed. At temperatures above 800 °C, the average power output drops by 15%. After the experiments, significant erosion was found on the top of the electrodes.


Increasing the gas velocity to reach larger Reynolds numbers for stabilization or introducing further turbulence structures  Optimization of the operation parameters of the plasma generator (voltage, frequency, etc.)  Increasing the gap distance at the ignition position (see Figure 5)  Increasing the nitrogen content in the gas mixture  Optimization of electrode geometry for better electrical field distribution After a review of all possible solutions, the first three options were chosen as the primary methods. The mass flow rate of the main water steam is set to be 6 kg/h to guarantee sufficient gas velocity and Reynolds number, which results, on the other hand, in a large S/C ratio (see Table 2). The smallest gap distance is increased by 10% to 2.2 mm. The ignition voltage and working frequency are adjusted by 10%.
After applying the optimization, stable plasma filaments were established between electrodes at the reactor temperature up to 950 °C, see Figure 9. The plasma input power fluctuates less than 1% around the mean. However, in cases of water steam plasma, the plasma stability becomes an issue depending on the gas volume rate and furnace temperature. From commissioning tests with water steam, NTP turns out to be less stable when the furnace temperature is above 800 • C. Reduced visible plasma expansion of filaments has been observed. At temperatures above 800 • C, the average power output drops by 15%. After the experiments, significant erosion was found on the top of the electrodes.

•
Increasing the gas velocity to reach larger Reynolds numbers for stabilization or introducing further turbulence structures • Optimization of the operation parameters of the plasma generator (voltage, frequency, etc.) • Increasing the gap distance at the ignition position (see Figure 5) • Increasing the nitrogen content in the gas mixture • Optimization of electrode geometry for better electrical field distribution After a review of all possible solutions, the first three options were chosen as the primary methods. The mass flow rate of the main water steam is set to be 6 kg/h to guarantee sufficient gas velocity and Reynolds number, which results, on the other hand, in a large S/C ratio (see Table 2). The smallest gap distance is increased by 10% to 2.2 mm. The ignition voltage and working frequency are adjusted by 10%.
After applying the optimization, stable plasma filaments were established between electrodes at the reactor temperature up to 950 • C, see Figure 9. The plasma input power fluctuates less than 1% around the mean.

Syngas Production
The following diagrams show the experimental results of the product gas concentrations as a function of the optically measured temperatures in plasma-assisted and in thermal gasification. Figure 10 shows the results of wood powder used as fuel. The hydrogen concentration increases with rising temperature. As is the case in NTP-assisted gasification, the hydrogen production is enhanced compared to thermal gasification which can be explained by NTP-induced dissociation of H2O. At low temperature (e.g., 600 °C), the hydrogen production from pyrolysis/gasification is rather small, and the difference between plasma and thermal case can be explained by dissociation of water steam. With rising temperature, the difference becomes smaller, due to enhanced pyrolysis/gasification and tar reforming reactions in both cases. The concentration of carbon monoxide stays relatively constant. With rising temperature, the concentrations of methane and carbon dioxide decrease. Figure 11 presents the differences of the flow rates in plasma and thermal gasification. The production of each syngas component (H2, CO, CO2 and CH4) is promoted by non-thermal plasma. The hydrogen production in the plasma case is about 15% higher than the production in thermal gasification. This can be explained by increased conversion of hydrocarbons and, in particular, of water dissociation. The increase of methane and carbon monoxide production is at 35% and 25%, respectively. The flow rate of carbon dioxide is enhanced by 20% with plasma, which may be explained by the influence of the water-gas shift reaction.

Syngas Production
The following diagrams show the experimental results of the product gas concentrations as a function of the optically measured temperatures in plasma-assisted and in thermal gasification. Figure 10 shows the results of wood powder used as fuel. The hydrogen concentration increases with rising temperature. As is the case in NTP-assisted gasification, the hydrogen production is enhanced compared to thermal gasification which can be explained by NTP-induced dissociation of H 2 O. At low temperature (e.g., 600 • C), the hydrogen production from pyrolysis/gasification is rather small, and the difference between plasma and thermal case can be explained by dissociation of water steam. With rising temperature, the difference becomes smaller, due to enhanced pyrolysis/gasification and tar reforming reactions in both cases. The concentration of carbon monoxide stays relatively constant. With rising temperature, the concentrations of methane and carbon dioxide decrease. Figure 11 presents the differences of the flow rates in plasma and thermal gasification. The production of each syngas component (H 2 , CO, CO 2 and CH 4 ) is promoted by non-thermal plasma. The hydrogen production in the plasma case is about 15% higher than the production in thermal gasification. This can be explained by increased conversion of hydrocarbons and, in particular, of water dissociation. The increase of methane and carbon monoxide production is at 35% and 25%, respectively. The flow rate of carbon dioxide is enhanced by 20% with plasma, which may be explained by the influence of the water-gas shift reaction. The experiments were conducted with large nitrogen flow rates. Thus, the measured syngas concentration is highly diluted. The produced flow rate of syngas (CO, CO2, CH4 and H2) is relative

Temperature (°C)
Gas concentration (-) Figure 10. Gas composition in the case of plasma (orange) and thermal (blue) gasification with dotted trend lines-wood powder d = 700-1400 µm; dry-basis. The experiments were conducted with large nitrogen flow rates. Thus, the measured syngas concentration is highly diluted. The produced flow rate of syngas (CO, CO2, CH4 and H2) is relative

Temperature (°C)
Gas concentration (-) Figure 11. Produced syngas flow rate in case of plasma (orange) and thermal (blue) gasification with dotted trend lines-wood powder d = 700-1400 µm; dry-basis. The experiments were conducted with large nitrogen flow rates. Thus, the measured syngas concentration is highly diluted. The produced flow rate of syngas (CO, CO 2 , CH 4 and H 2 ) is relative small compared to the flow rate of nitrogen at lower temperature range. Considering the confidence range of gas analysis to be 1% (see Section 4.4), the actual syngas concentration without N 2 at lower temperature range can have a measurement error up to 150%. The large measurement error is caused by low reaction degree and therefore low syngas production. These errors lead to a relatively high uncertainty (systematic errors), as shown in Figures 14-17, in which, in addition to gas concentrations, the influence of nitrogen flow and mass flow of feedstock are considered. Figure 12 shows the results of the gas composition of the charcoal powder in both the plasma and the thermal case. The tendency of the individual gas concentration (except for the carbon monoxide) with rising temperature is similar to that shown in Figure 10. The concentration of CO decreases as the temperature increases. small compared to the flow rate of nitrogen at lower temperature range. Considering the confidence range of gas analysis to be 1% (see Section 4.4), the actual syngas concentration without N2 at lower temperature range can have a measurement error up to 150%. The large measurement error is caused by low reaction degree and therefore low syngas production. These errors lead to a relatively high uncertainty (systematic errors), as shown in Figures 14-17, in which, in addition to gas concentrations, the influence of nitrogen flow and mass flow of feedstock are considered. Figure 12 shows the results of the gas composition of the charcoal powder in both the plasma and the thermal case. The tendency of the individual gas concentration (except for the carbon monoxide) with rising temperature is similar to that shown in Figure 10. The concentration of CO decreases as the temperature increases. The change in the syngas flow rate can be found in Figure 13. In general, the plasma promotes formation of each species in the syngas by at least 15%. The hydrogen production at lower temperature is strongly promoted through water dissociation. The difference decreases with increasing temperature, which indicates that H2 is produced by steam gasification. With rising temperature, the difference in CO2 flow rate increases by more than 60%, while the difference of carbon monoxide decreases to 15%. The methane production is increased in plasma gasification by nearly 30%. The change in the syngas flow rate can be found in Figure 13. In general, the plasma promotes formation of each species in the syngas by at least 15%. The hydrogen production at lower temperature is strongly promoted through water dissociation. The difference decreases with increasing temperature, which indicates that H 2 is produced by steam gasification. With rising temperature, the difference in CO 2 flow rate increases by more than 60%, while the difference of carbon monoxide decreases to 15%. The methane production is increased in plasma gasification by nearly 30%.

Carbon Conversion
To determine the reaction progress, the total carbon conversion Xc is often used as the parameter, which is generally defined as: 1 (12) where Cresidue presents the carbon content in the solid residue and Cfuel the carbon content in the fuel. On the other hand, the total carbon conversion can be calculated from the product side. Carbon can be converted from fuel to syngas Xsyngas, to tar products Xtar and to solid carbon Xsc.
where CCH4, CCO and CCO2 present the carbon content in individual gas species, and Ctar and Csc presents the carbon content in the tar and in the solid carbon, respectively. In this work, the carbon conversion Xsyngas considering only syngas components is used as the parameter to determine the fuel conversion degree. When the wood powder is used as fuel, the obtained carbon conversion Xsyngas is smaller than the total carbon conversion Xc.

Carbon Conversion
To determine the reaction progress, the total carbon conversion X c is often used as the parameter, which is generally defined as: where C residue presents the carbon content in the solid residue and C fuel the carbon content in the fuel. On the other hand, the total carbon conversion can be calculated from the product side. Carbon can be converted from fuel to syngas X syngas , to tar products X tar and to solid carbon X sc .
X c = X syngas + X tar + X sc (13) where C CH4 , C CO and C CO2 present the carbon content in individual gas species, and C tar and C sc presents the carbon content in the tar and in the solid carbon, respectively. In this work, the carbon conversion X syngas considering only syngas components is used as the parameter to determine the fuel conversion degree. When the wood powder is used as fuel, the obtained carbon conversion X syngas is smaller than the total carbon conversion X c .
The carbon conversion, calculated from measured syngas concentration, is shown in Figures 14  and 15. The length of the fuel path is 0.7 m with the syngas sampled at the end of window zone. In the case of sampling at the end of reaction zone, the length of the fuel path is 1.8 m (see Figure 4). The carbon conversion, calculated from measured syngas concentration, is shown in Figures 14  and 15. The length of the fuel path is 0.7 m with the syngas sampled at the end of window zone. In the case of sampling at the end of reaction zone, the length of the fuel path is 1.8 m (see Figure 4). In the plasma case using wood powder, 10% more carbon contents in the fuel particles were converted into syngas. With the decreasing residence time by sampling at the end of the window zone, the carbon conversion decreases dramatically. A maximum carbon conversion of 48% at 770 °C in the plasma case and 40% at 870 °C in the thermal case can be achieved.  The carbon conversion, calculated from measured syngas concentration, is shown in Figures 14  and 15. The length of the fuel path is 0.7 m with the syngas sampled at the end of window zone. In the case of sampling at the end of reaction zone, the length of the fuel path is 1.8 m (see Figure 4). In the plasma case using wood powder, 10% more carbon contents in the fuel particles were converted into syngas. With the decreasing residence time by sampling at the end of the window zone, the carbon conversion decreases dramatically. A maximum carbon conversion of 48% at 770 °C in the plasma case and 40% at 870 °C in the thermal case can be achieved.  In the plasma case using wood powder, 10% more carbon contents in the fuel particles were converted into syngas. With the decreasing residence time by sampling at the end of the window zone, the carbon conversion decreases dramatically. A maximum carbon conversion of 48% at 770 • C in the plasma case and 40% at 870 • C in the thermal case can be achieved.
Using charcoal powder, the carbon conversion was enhanced by 3-8% by means of NTP application. The low carbon conversion is caused by the slow reaction kinetic of charcoal gasification and short residence time of charcoal powder in the reactor (see Table 3).
The difference in carbon conversion by NTP between wood and charcoal powder can be explained mainly by enhanced heating rate. By using wood powder with a highly volatile content (about 80 wt %), the plasma accelerated the chemical reaction by means of an extremely high heating rate. In the case of charcoal powder, the reaction rate is mainly limited by diffusion. Thus, the influence of NTP on the conversion degree is smaller.

Reaction Kinetics
The reaction kinetics of the total gasification process has been studied in this chapter. The reaction rate r is generally defined as the change of concentration ξ or mass m with time t.
This can furthermore be described with the rate coefficient k and the reaction order n: with the assumption of a first order reaction (n = 1), the relation between reaction rate and rate coefficient k can be expressed with the following linear differential equation.
If further the overall reaction is governed by a rate limiting step, its rate coefficient as a function of temperature can be expressed using the Arrhenius equation: (20) or in logarithmic form where E A normally represents the activation energy, A is the pre-exponential factor, T is the absolute temperature in Kelvin and R is the universal gas constant. Fitting rates obtained experimentally using Equations (19) and (20) results in activation energies and pre-exponential factors both for thermal and plasma-assisted gasification. However, it should be clear that due to the complexity of the gasification process E A values neither in case of thermal nor in the case of plasma-assisted gasification can be considered activation energy in the usual sense. Nevertheless, this approach is widely applied in the literature for describing gasification processes. Thus, it also will be used here. Table 4 presents kinetic data from the experiments. Figures 16 and 17 show the trend of reaction kinetics with regard to the optically measured temperatures. In Figure 16, the calculated reaction rate coefficients of wood gasification are compared for both cases. In the NTP case, the rate constant k is 30% higher than that in the thermal case. Figure 17 presents the results of charcoal gasification. The calculated rate constant k in the plasma case is 50% higher than that in the thermal case. A constant slope can be obtained from each case to determine the activation energy and pre-exponential factor. As mentioned above, the calculated values from plasma and thermal gasification don't represent an activation energy in the usual sense. Furthermore, the difference in between is substantially smaller than the statistical error.
Energies 2018, 11, x FOR PEER REVIEW 18 of 24 In Figure 16, the calculated reaction rate coefficients of wood gasification are compared for both cases. In the NTP case, the rate constant k is 30% higher than that in the thermal case. Figure 17 presents the results of charcoal gasification. The calculated rate constant in the plasma case is 50% higher than that in the thermal case. A constant slope can be obtained from each case to determine the activation energy and pre-exponential factor. As mentioned above, the calculated values from plasma and thermal gasification don't represent an activation energy in the usual sense. Furthermore, the difference in between is substantially smaller than the statistical error.   In Figure 16, the calculated reaction rate coefficients of wood gasification are compared for both cases. In the NTP case, the rate constant k is 30% higher than that in the thermal case. Figure 17 presents the results of charcoal gasification. The calculated rate constant in the plasma case is 50% higher than that in the thermal case. A constant slope can be obtained from each case to determine the activation energy and pre-exponential factor. As mentioned above, the calculated values from plasma and thermal gasification don't represent an activation energy in the usual sense. Furthermore, the difference in between is substantially smaller than the statistical error.    The experimental results are compared to the literature results listed in Table 5. The chosen literature results use a comparable range of particle diameter for the pyrolysis and gasification investigation. Figure 18 shows a graphic comparison between own and literature results. The experimental results are compared to the literature results listed in Table 5. The chosen literature results use a comparable range of particle diameter for the pyrolysis and gasification investigation. Figure 18 shows a graphic comparison between own and literature results.  The literature results shown in Figure 18 were obtained in various reactors (FB: Fluidized-bed; TGA: Thermogravimetric analysis; DTR: Drop tube reactor). Taking into consideration the influence of reactor on the reaction kinetics, we found that our own experimental results for wood powder met quiet well with the literature values of pyrolysis. This indicates that the fed fuel particles have merely been pyrolyzed in a short residence time (see Table 3) in the reactor. The own results of charcoal gasification lie far away from those in the literature. This can be explained by the remaining volatile content in charcoal particles, see Table 1. Another reason is the influence of reactors on test results. In TGA, the heat transfer is slower than in DTR.

Error Analysis
The measurement errors were calculated according to Gaussian error propagation from [48,49]. A general calculation formula can be found as follows: The literature results shown in Figure 18 were obtained in various reactors (FB: Fluidized-bed; TGA: Thermogravimetric analysis; DTR: Drop tube reactor). Taking into consideration the influence of reactor on the reaction kinetics, we found that our own experimental results for wood powder met quiet well with the literature values of pyrolysis. This indicates that the fed fuel particles have merely been pyrolyzed in a short residence time (see Table 3) in the reactor. The own results of charcoal gasification lie far away from those in the literature. This can be explained by the remaining volatile content in charcoal particles, see Table 1. Another reason is the influence of reactors on test results. In TGA, the heat transfer is slower than in DTR.

Error Analysis
The measurement errors were calculated according to Gaussian error propagation from [48,49]. A general calculation formula can be found as follows: where ∆G represents the standard deviation of the function G = f (x, y, z, etc.), ∂G/∂x, ∂G/∂y, ∂G/∂z represent the partial derivatives, ∆x, ∆y, ∆z represent the confidence range of the measured variables. The error parameters are considered to be the nitrogen flow rate, mass flow rate of fuel and gas concentration of methane, carbon monoxide, carbon dioxide and hydrogen. The reference equation for the calculation of reaction kinetics is as follows: with C 1 to C 4 depend on material properties and are therefore considered to be constants without error. The systematic error of reaction kinetics can be calculated as following: The confidence range of error parameters has been estimated, see Table 6. Table 6. Estimated confidence ranges of error parameters.

Error Parameters
Confidence Range The calculated results have been shown in the Figures 16 and 17. A sensitivity analysis of error parameters on the results has been conducted, in order to identify the parameters with larger influence, see Figure 19. The results show that the concentrations of carbon monoxide, carbon dioxide and methane have the most influence on the systematic error followed by mass flow rate of fuel. The concentration of hydrogen has little influence. For future work, the flow rate of nitrogen should be reduced, and the mass flow rate of the fuel should be increased, in order to increase of syngas concentration in the gas mixture.

Summary
Non-thermal plasma (NTP)-assisted gasification of solid fuels has been investigated in a thermostatically controlled drop tube reactor with residence times between 0.2 and 1.7 s. The test-rig including the drop tube reactor and periphery systems has been designed, built and commissioned. The reactor offers an optical access for temperature measurement inside the reactor. The preheated water steam flows are used as gasification agent and plasma medium. The non-thermal gliding arc plasma is generated between a pair of diverging electrodes being supplied with electric power of around 1 kW by means of a medium frequency high voltage generator. The stability of NTP operation in water steam at elevated reactor temperature has been optimized by slightly adapting the electrode geometry and flow rates. For comparison, thermal gasification was studied by applying it to the same flow rates of water steam and biomass. Gas temperatures inside of the drop tube reactor being essential for characterization both of the thermal and of the NTP-assisted gasification experiments and evaluation of the results were measured optically by means of Raman spectroscopy.
In the case of NTP-assisted gasification, hydrogen production is strongly enhanced by water dissociation. With increasing temperature, hydrogen production rate is increased by thermal biomass pyrolysis and/or charcoal gasification. Thus, the difference between thermal and NTP-assisted gasification decreases. The production of other gas components such as CO, CO2 and CH4 was also increased by NTP application. This leads to a higher carbon conversion rate: for wood powder, the increase is nearly 10%, and for charcoal powder, it is more than 3%. The temperature dependency of reaction rates was investigated using Arrhenius diagrams assuming first order kinetics. From this analysis for NTP-assisted gasification rate coefficients being 30% higher than for thermal gasification were achieved for wood powder. For charcoal powder, the difference was as large as 50%.
An error analysis according to Gaussian error propagation was conducted to optimize future experimental work. The concentration of syngas components (CO, CO2, CH4) and the mass flow rate of fuel are determined to be the major influence factors of the measurement uncertainty, which could be addressed by increasing the mass flow rate of fuel and reducing the nitrogen flow rate as trace gas.

Summary
Non-thermal plasma (NTP)-assisted gasification of solid fuels has been investigated in a thermostatically controlled drop tube reactor with residence times between 0.2 and 1.7 s. The test-rig including the drop tube reactor and periphery systems has been designed, built and commissioned. The reactor offers an optical access for temperature measurement inside the reactor. The preheated water steam flows are used as gasification agent and plasma medium. The non-thermal gliding arc plasma is generated between a pair of diverging electrodes being supplied with electric power of around 1 kW by means of a medium frequency high voltage generator. The stability of NTP operation in water steam at elevated reactor temperature has been optimized by slightly adapting the electrode geometry and flow rates. For comparison, thermal gasification was studied by applying it to the same flow rates of water steam and biomass. Gas temperatures inside of the drop tube reactor being essential for characterization both of the thermal and of the NTP-assisted gasification experiments and evaluation of the results were measured optically by means of Raman spectroscopy.
In the case of NTP-assisted gasification, hydrogen production is strongly enhanced by water dissociation. With increasing temperature, hydrogen production rate is increased by thermal biomass pyrolysis and/or charcoal gasification. Thus, the difference between thermal and NTP-assisted gasification decreases. The production of other gas components such as CO, CO 2 and CH 4 was also increased by NTP application. This leads to a higher carbon conversion rate: for wood powder, the increase is nearly 10%, and for charcoal powder, it is more than 3%. The temperature dependency of reaction rates was investigated using Arrhenius diagrams assuming first order kinetics. From this analysis for NTP-assisted gasification rate coefficients being 30% higher than for thermal gasification were achieved for wood powder. For charcoal powder, the difference was as large as 50%.
An error analysis according to Gaussian error propagation was conducted to optimize future experimental work. The concentration of syngas components (CO, CO 2 , CH 4 ) and the mass flow rate of fuel are determined to be the major influence factors of the measurement uncertainty, which could be addressed by increasing the mass flow rate of fuel and reducing the nitrogen flow rate as trace gas. Acknowledgments: This work was supported by the Campus Future Energy Systems (Campus FES) under the grant "Biomassevergasung in Nichtthermischen Plasmen". We thank Thomas Werblinski and Sebastian Luther for supporting the optical temperature measurements. Furthermore, we thank Yuhan Huang and Yixuan Yin for supporting the gasification experiments.

Conflicts of Interest:
The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.