Abstract

The effects of organic loading rates (OLRs) on fermentative productions of hydrogen and ethanol were investigated in a continuous stirred tank reactor (CSTR) with attached sludge using molasses as substrate. The CSTR reactor with attached sludge was operated under different OLRs, ranging from 8 to 24โ€‰kg/m3ยทd. The H2 and ethanol production rate essentially increased with increasing OLR. The highest H2 production rate (10.74โ€‰mmol/h L) and ethanol production rate (11.72โ€‰mmol/h L) were obtained both operating at OLR = 24โ€‰kg/m3ยทd. Linear regression results show that ethanol production rate ( ) and H2 production rate ( ) were proportionately correlated and can be expressed as ( ). The best energy generation rate was 19.08โ€‰kJ/h L, which occurred at OLR = 24โ€‰kg/m3ยทd. In addition, the hydrogen yield was affected by the presence of ethanol and acetic acid in the liquid phase, and the maximum hydrogen production rate occurred while the ratio of ethanol to acetic acid was close to 1.

1. Introduction

The negative impacts on the global environment due to the intensive use of fossil fuels need to be reduced and reversed by replacing them gradually with sustainable and carbon-neutral energy carriers [1]. Ethanol can be supplemented to gasoline as a fuel for transportation and also can be used as a substrate for biodiesel production. Hence, at this moment, bioenergy technology focuses heavily on converting biomass feedstock to bioethanol and/or biodiesel [2]. Hydrogen gas is an ideal fuel source and produces no green-house gases, since it generates only water when burning [3]. Therefore, hydrogen is considered as a clean energy carrier for the future due to its high conversion, recyclability, and nonpolluting nature [4]. Fermentative hydrogen production has recently attracted increasing attention of its high rate of hydrogen evolution and its applicability to different types of organic wastes and wastewaters from industrial processes. In addition, the use of organic waste reduces waste disposal problems [5, 6]. In addition to H2 production, anaerobic fermentation also produces a significant amount of alcohols (such as ethanol) [7].

In this study, using molasses as the sole carbon substrate, the performance of continuous H2 and ethanol production rate was investigated at different organic loading rates (OLRs) for CSTR with attached sludge. The purpose of this work was to develop two of the most critical bio-energy products, H2 and ethanol, thus, innovating dual fermentation technology.

2. Material and Methods

2.1. Hydrogen-Producing Sludge and Cultivation

The sludge was obtained from a secondary settling tank in a local municipal wastewater treatment plant. It was first sieved through mesh with a diameter of 0.5โ€‰mm in order to remove waste materials that could cause pump failure. Hydrogen productivity of the seed sludge was enhanced by aeration treatment for 30 days to inhibit the methanogenic activity prior to immobilization. The volatile suspended solid (VSS) was 17.74โ€‰g/L.

The molasses used in this study was obtained from a local beet sugar refinery (Harbin). The compositions of molasses used in this study are provided in Table 1. The molasses was diluted by tap water to a COD of 10,000โ€‰mg/L and the CODโ€‰:โ€‰nitrogenโ€‰:โ€‰phosphorus ratio was maintained at 1000โ€‰:โ€‰5โ€‰:โ€‰1 by the addition of synthetic fertilizer in the substrate to supply microorganisms with adequate nitrogen and phosphorus contents.

Granular activated carbon was used as a support medium for cell immobilization and retention. The particles were sieved for uniformity of approximately 1.5~2โ€‰mm in diameter. The main physical characteristics of granular activated carbon were offered by supplier as follows: media real density = 1420โ€‰g/L; surface area = 1200~1350โ€‰m2/g; bulk density = 450~500โ€‰g/L (Hainan Wen Chang Qiu Chi Activated Carbon. Co. Ltd.). H2-producing sludge was mixed with granular activated carbon at a volume (mL) to weight (g) ratio of 1โ€‰:โ€‰10. It was observed that sludge predominantly covered the surface and interior portion of the immobilized disc.

2.2. Bioreactor Operation

The bioreactor used for H2 fermentation in this study was a 12.5โ€‰L continuous stirred tank reactor (CSTR) with an effective volume of 5.4โ€‰L (Figure 1). The reactor was constructed with transparent plexiglas with a gas-liquid-solid separating device, operating in a continuous flow mode. The temperature was automatically maintained at 36ยฐC by electrothermal wire. The influent flow rate was controlled by a feed pump to regulate the HRT and OLR in the reactor. The biogas generated was collected in a water lock and measured by a wet gas meter (Model LML-1, Changchun Filter Co., Ltd.) which was filled with an acidified saturated salt solution in order to prevent the biogas from dissolution.

2.3. Analytical Methods

The biogas yield of the CSTR was measured daily at room temperature using a wet gas meter, and its constituents (H2 and CO2) were determined by gas chromatography (Model GC-122, Shanghai Anal. Inst. Co.). The gas chromatography system was equipped with a thermal conductivity detector and a stainless steel column (2โ€‰m ร— 5โ€‰mm) filled with Porapak Q (80/100โ€‰mesh, Agilent, USA). Nitrogen was used as the carrier gas at a flow rate of 40โ€‰mL/min.

Volatile fatty acids (VFAs) and ethanol in the fermentation solution were also analyzed by gas chromatography (Model GC-112, Shanghai Analytical Apparatus Corporation, China) with a hydrogen flame ionization detector and a stainless steel column (2โ€‰m ร— 5โ€‰mm) packed with support (GDX103, 60/80โ€‰mesh, Shanghai Maikun Chemical Co., Ltd). The operation of the stainless steel column was amenable to temperature programming within 100โ€“200ยฐC. Nitrogen was used as the carrier gas at a flow rate of 50โ€‰mL/min, hydrogen as the combustion gas at 50โ€‰mL/min, and oxygen as the combustion supporting gas at 500โ€‰mL/min.

COD, pH, and ORP were measured daily in the CSTR according to standard methods [8].

3. Results and Discussion

3.1. H2 and Ethanol Production

The performance of H2 and ethanol (EtOH) production in CSTR is shown in Table 2. The biogas and hydrogen production rate are generally considered as important indices to evaluate the biohydrogen producing processes. Figure 2 depicts the time series of gaseous accumulations in the fermentation process. The results were obtained at three different operating conditions. The differences in biogas and hydrogen production rates were attributed to the microbial population and OLR. Regardless of different OLR, the H2 and biogas production rate essentially increased with an increase in OLR as the highest OLR tested (24โ€‰kg/m3ยทd) gave the highest H2 production rate of 10.74โ€‰mmol/hยทL and biogas production rate of 23.02โ€‰mmol/hยทL, respectively. The highest ethanol production rate also reached 11.72โ€‰mmol/hยทL for OLR = 24โ€‰kg/m3ยทd.

The anterior correlation between the biofuels production could be a result of the difference in metabolisms of the sludge culture mixed bacterial population, in which H2-producing bacteria may have a different substrate of the population that tends to produce solvents (e.g., ethanol).

Figure 3(a) shows a maximum hydrogen production rate of 10.74โ€‰mmol/hยทL at an OLR of 24โ€‰kg/m3d. The hydrogen production rate was directly correlated with OLR. The correlation coefficients were greater than 0.9. Figure 3(b) indicates the maximum hydrogen yield by substrate consumed was 130.57โ€‰mmol/mol happened at OLR of 16โ€‰kg/m3d. Based on these results, it was concluded that hydrogen production rate was enhanced with a higher OLR and hydrogen yield by substrate consumed was reduced with OLR greater than 16โ€‰kg/m3d. Comparing the results of hydrogen production rate and hydrogen yield, significant differences were found at OLRs between 8 and 24โ€‰kg/m3d. The hydrogen yield by substrate consumed was decreased as the OLR was greater than 16โ€‰kg/m3d.

Figure 4 reveals the performance of biogas production at different OLRs in the CSTR. As evident from the figure, the variation of biogas production rate and biogas yield were similar to hydrogen production rate and hydrogen yield. Figure 4(a) shows a maximum biogas production rate of 23.02โ€‰mmol/hยทL at an OLR of 24โ€‰kg/m3d. Linear regression results show that biogas production rate (y) and OLRs (x) were proportionately correlated which can be expressed as . The biogas yield by substrate consumed reached 252.02โ€‰mmol/mol at OLR of 16โ€‰kg/m3d and declined to 140.7โ€‰mmol/mol at OLR of 24โ€‰kg/m3d in Figure 4(b).

3.2. Composition of Soluble Metabolites

In soluble metabolites (i.e., soluble microbial products; SMP), regardless of different OLR, the major product was ethanol, which is 38.3%~48.9% of the total SMP. The next most abundant products were acetate and butyrate, contributing to 36.6%~41.5%, and 8.4%~21.5% of SMP, respectively. Meanwhile, a small quantity of propionate (1.2%~2.4) was also produced. This soluble metabolite composition indicates that the culture environment was favorable to H2 production, because in most efficient H2 producing system, ethanol was the predominant product.

The collection between H2 and ethanol producing pathways can also be observed from Figure 5, showing that the H2 and ethanol production rate were in general proportionately correlated irrespective of the different OLR. Linear regression results show that the correlation between ethanol production rate and H2 production rate can be expressed as .

3.3. Energy Production Efficiency

Since our fermentation systems produced a significant amount of gaseous and liquid biofuels (i.e., H2 and ethanol), the process performance in terms of energy generation derived from the combination of the two biofuels was calculated according to their combustion heat values [9]. As depicted in Table 2, The energy generation rate (EGR) tended to increase as OLR increased from 8 to 24โ€‰kg/m3ยทd, which is quite obvious because both H2 and ethanol production rate increased with increasing OLR (Table 2). The maximum energy generation rate was 19.08โ€‰kJ/hยทL, taking place when CSTR was fed with OLR at 24โ€‰kg/m3d, this difference could be attributed to the variation in bacterial population structure. From the aspect of total energy generation, production of both H2 and ethanol may be superior to solely producing biofuel. Moreover, since H2 and ethanol are present in different phases, separation of the two biofuels would be relatively easy, leading to additional economical benefits arising from simple downstream processing.

3.4. Hydrogen Production Rate and Ratio of Ethanol to Acetic

The VFAs constituents seem to have a correlation with hydrogen production, since the hydrogen production rate from COD removal (mol H2 produced/kg COD removal) changed with the ratio of ethanol to acetate in the hydrogen producing system. The hydrogen production rate by COD removal increased from 2 to 20โ€‰mol H2 produced/kg COD removed when the ratio of ethanol to acetate was from 0 to 1, and decreased when ratio was higher than 1 (Figure 6). This change might be related to the fermentation pathways as well as the oxidization/reduction of NADH.

4. Conclusions

This work demonstrated feasible bioreactor system with attached sludge for simultaneous production of H2 and ethanol as biofuels. The H2 and ethanol production rate in CSTR essentially increased with increasing OLR (from 8~24โ€‰kg/m3ยทd). The highest production rate of hydrogen and ethanol attained from this work was 10.74โ€‰mmol/hยทL and 11.72โ€‰mmol/hยทL, respectively. This work also utilized energy generation rate (base on heat values of H2 and ethanol) as a performance indicator for overall energy production efficiency of the bioprocesses examined. Using molasses as substrate, the CSTR system operated at OLR = 24โ€‰kg/m3ยทd exhibited the best energy generation rate of 19.08โ€‰kJ/hยทL. The ethanol production rate and H2 production rate were proportionately correlated and can be expressed as and the maximum hydrogen production rate occurred while the ratio of ethanol to acetic acid was close to 1.

Acknowledgments

National Hi-Tech R&D Program (863 Program), Ministry of Science and technology, China (Grant no. 2006AA05Z109), Shanghai Science and Technology Bureau (Grant no. 071605122), Shanghai Education Committee (Grant no. 07ZZ156) and Northeast Forestry University (GRAP09), are gratefully acknowledged.