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Article

An Incubation System to Enhance Biogas and Methane Production: A Case Study of an Existing Biogas Plant in Umbria, Italy

1
CRB, Biomass Research Centre, University of Perugia, Strada S.Lucia Canetola, 06125 Perugia, Italy
2
Applied Thermodynamics Laboratory, National School of Engineers, Gabès University, Omar Ibn El Khattab Street, Gabès 6029, Tunisia
3
Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy
*
Author to whom correspondence should be addressed.
Processes 2019, 7(12), 925; https://doi.org/10.3390/pr7120925
Submission received: 3 November 2019 / Revised: 25 November 2019 / Accepted: 28 November 2019 / Published: 4 December 2019
(This article belongs to the Special Issue Current Trends in Anaerobic Digestion Processes)

Abstract

:
The pre-incubation of digestate and recycling of microbes inside a continuously stirred tank reactor (CSTR) are effective ways to optimize the anaerobic digestion process and improve the performance of biogas and methane production, also in existing biogas plants. In this study, a digestate incubation system using a nutrient mix to boost the activity of microbes was coupled to a CSTR to boost biogas and methane production. This system has been tested both on a lab scale and on an industrial scale. On a pilot scale, the system achieved an increase of +16.47 v% in biogas production with respect to the conventional anaerobic digestion process, and an increase of +2 v% in methane content (from 65.94 v% to 67.84 v%). On an industrial scale, the use of this incubation reactor with a capacity of 1 m3 has led to an increase in methane yield of 12 v%. This system allows to maintain the syntrophic relationship between acid-producing bacteria and methanogens and contemporary push the development of methanogens. Moreover, it is an economic system to be integrated into an existing biogas plant given the small volume and the simplicity of the incubation reactor.

1. Introduction

Anaerobic digestion (AD) is a biochemical process that consists of the degradation of organic matter by bacteria in the absence of oxygen. Anaerobic digestion is widely used to produce renewable electricity by the burning of biogas in internal combustion engines. Biogas is the final product of the anaerobic digestion, which consists of methane, carbon dioxide, and traces of other compounds, such as NH3, siloxanes, H2, N2, and O2 [1]. Biogas can be used directly as fuel, in the combined heat and power gas engines, or it can be upgraded to biomethane. The effluent remaining after anaerobic digestion is a nutrient-rich substrate (digestate) and it can be used as fertilizer for agronomic applications [2].
Anaerobic digestion converts organic matter into biogas via four defined stages: hydrolysis, acidogenesis, acetogenesis, and methanogenesis. During hydrolysis complex organic substances (carbohydrates, proteins, and lipids) are decomposed by bacteria into soluble monomers, which during acidogenesis are converted into volatile fatty acids (VFA). The third step is acetogenesis, in which the VFA are mainly transformed in acetic acid by hydrogen-producing acetogens bacteria. In the fourth step, methanogenesis, the acetogenesis products are turned into methane by the synergistic action of various mesophilic bacteria [3]. Various factors influence methane production. The AD process performance and both: biogas production rate and composition are strongly correlated with the source of the organic substrate, with the process and operational conditions and with the type of technology used [4,5,6]. The energy yield changes by changing the substrate (i.e., sludge, agricultural waste, food waste, and wastewaters). It is of great importance to be aware of various substrate characteristics and their degradation mechanisms during the AD process. The carbohydrate and protein content can greatly influence methane production substrates with a high fat content would have a higher potential for the methanogenesis than substrates with the same quantity of carbohydrates. The configurations of the anaerobic digestion reactors and the biomass pretreatment methods are also factors affecting (effecting) digestion efficiency [7]. Anaerobic digestion systems are substantially divided into two types: one-stage AD systems and two-stage AD systems. In one-stage AD systems, all the four steps of the process (hydrolysis, acidogenesis, acetogenesis, and methanogenesis) are performed in a single reactor and this plant configuration is often associated with the acidification of the reactor, due to the formation of volatile fatty acids (VFAs) as inhibitory metabolites during acidogenesis and acetogenesis. Two-stage AD systems can increase (improve) the anaerobic digestion process stability, due to the separation of the four phases. In this plant configuration, the first three steps (hydrolysis, acidogenesis, and acetogenesis) are carried out in one bioreactor and the last step (methanogenesis) is carried out in a separate reactor. Two stage anaerobic digestion can increase anaerobic digestion process stability, because inhibitory metabolites (VFAs) produced in the first reactor are supplied to methanogens bacteria to improve methane production in the second one. This system not only gives a better biogas and methane production but also the production and collection of H2 in the first stage can improve the efficiency of the digestion process.
Anaerobic digestion systems have a variety of configurations, including conventional anaerobic reactors as continuously stirred tank reactors (CSTRs), anaerobic plug flow reactors (APFRs), anaerobic sequencing batch reactors (ASBRs), sludge retention reactors as up-flow anaerobic sludge bed reactors (UASBs), up-flow anaerobic solid-state reactors (UASSs), anaerobic baffled reactors (ABRs), internal circulation reactors (ICs), anaerobic contact reactors (ACRs), anaerobic membrane reactors as anaerobic filter reactors (AFs), anaerobic fluidized bed reactors (AFBRs), and expanded granular sludge blanket reactors (EGSBs) [7]. The CSTR is the most commonly used reactor and CSTRs have been effectively used to treat various types of agricultural residues, domestic and municipal wastewater, fruit and vegetable waste, grass, forest residues, live-stock manure, and many other by-products of various agricultural processes. Moreover, the CSTR is frequently used in research at full scale due to its simplicity in design and operation. Compared to other systems, the CSTR provides greater uniformity of process parameters, such as temperature, mixing, pH, and substrate concentration. For these reasons the CSTR system is very suitable in real-scale applications. The CSTR system exists in different configurations depending on the reactor number. A single CSTR is inefficient due to the “short-circuit” and the consequent short hydraulic retention time [8,9]. The two stage CSTR system, where a short acidogenic step is followed by a long methanogenic step, is the most popular, due to simplicity of the system in design and operation and its high performance in terms of Chemical Oxygen Demand (COD) removal and biogas and methane productivity. Although the biodegradability of substrates may be improved in a two-stage CSTR, the separation of the acidogenic and methanogenic step could cause inhibition in the acidogenic reactor due to over production of hydrogen volatile fatty acids (VFAs) rather than acetate [10]. Furthermore, the two-phase reactor disrupts the syntrophic relationship between acid-producing bacteria and methanogens and the complete separation is difficult to be implemented and operated. It is necessary to adjust the condition of the effluent from the acidogenic reactor before feeding it to the methanogenic reactor, controlling pH, volatile fatty acid (VFA) level, or nutrients [11,12]. In recent years, the introduction of a serial CSTR configuration on methanogenic reactors has attracted considerable attention as an alternative approach to overcome the abovementioned problems caused from one- and two-stage systems.
Kaparaju et al. [9] investigated the possibility of optimizing biogas production from manure using two methanogenic continuously stirred tank reactors (CSTRs) connected in series and the result showed that the serial CSTR improved biogas production. Boe and Angelidaki [13] compared a single thermophilic continuous-flow stirred tank reactor (CSTR) treating sewage sludge to serial CSTR reactors and the result showed than the serial CSTR increased biogas production by 11 v%.
Liu et al. [8] investigated a new three-stage anaerobic digestion (TSAD) system combining an acidogenic stage (I), a first peak methanogenic stage (II), and a second peak methanogenic stage. TSAD achieved an increase in methane yield of 33.2–50.5 v% with respect to that of the traditional one-stage and two-stage plants. However, the multi-stage reactor is an uneconomical solution, because it increases the capital cost of biogas plants.
The enhancement of any step of the AD process will lead to more methane generation and finally more energy produced. Hydrolysis is a rate-limiting process for anaerobic digestion and various methods are put forward to improve it, such as physical, chemical, electrical, and biological treatment. In electrical treatment, pulsed electric fields disrupt cellular membranes and induce higher permeation of biological cells [14]. Consequently, complex organic molecules are converted into simpler forms, easily degradable for acetogens bacteria. Inoculation or bioaugmentation with specific bacteria, which are capable to hydrolyze lignocellulosic biomass, is an environmentally friendly and cost-efficient biological pretreatment, which compared to other methods operates with less energy and chemicals furthermore it reduces the generation of inhibitory substances [15,16]. Thermal hydrolysis leads to the solubilization of organic compounds with the application of high temperature, pressure and the addition of steam [17]. Applying this technique, more fractions in the substrate become soluble and degradable so the hydrolysis is facilitated, by promoting fermentation bacteria. During acidification, soluble monomers are converted into short-chain fatty acids, such as acetic acid, which is the direct substrate for methanogens bacteria, as well as into propionic acid. To increase the production and the rate of conversion of monomers into acetic acid, different approaches can be considered, one of which is the use of substances that favor the bioconversion of carbohydrates, as for example cysteine [18], polycyclic aromatic hydrocarbons [19], and magnetite [20]. After the improvement of the first three stages, the methanogenesis stage is a key process to increase methane production. The use of additives, such as mineral compounds, oxide nanoparticles, bioaugmentation, and enzymes, encourages methane production as well as improves process stability. The addition of biochar also results in higher methane yield, due to its porous structure, which can absorb ammonia and immobilize methanogens [21,22,23]. Methods proposed for methane enhancement in recent studies have been tested mostly on a lab-scale. Development of a new type of reactor with specific hydraulic flow patterns at full scale, meeting the ecological requirements of the different anaerobic microbial populations, is a future research direction. Although there is some synergistic effect between acidogens and methanogens, instability of the ecological system will occur when acidogens and methanogens are present in the same reactor. Separation of the two kinds of bacteria in two reactors promotes the degradation rate and the stabilization of pH during the anaerobic biological treatment.
The use of two-phase reactors, which can improve the processing capacity due to the separation of the steps and through the use of different pretreatments, which can improve biogas production, methane concentration and is also beneficial for anaerobic digestion plants.
In this study, we tested a CSTR with the addition of an incubation reactor (where a nutrient mix is added) on both a lab and industrial scale, in which the substrate from the acidogenic fermenter reacts with the nutrients and then returns into the same reactor. This system allows to avoid disrupting the syntrophic relationship between acid-producing bacteria and methanogens and so balancing the production of volatile fatty acids and of acetic acid. The system proposed is an economic system to adopt for both one-stage and two-stage anaerobic digestion plants, given the reduced volume and the simplicity of the additional reactor. As far as the authors are concerned, the coupling of incubator systems to anaerobic digestion plants is a new aspect which is worthy of investigation.

2. Materials and Methods

2.1. Characterization of Substrate and Inoculum

Samples of maize silage, olive pomace, and pig slurry were collected at an anaerobic digestion plant in Central Italy, operating under mesophilic conditions, in which they are daily used for feeding the digester. Samples of the substrate of the primary digester (i.e., the acidogenic reactor) were also taken. Because of their rapid acidification the samples were immediately analyzed and maintained in a refrigerated environment until they were used. The chemical–physical properties of the substrate and of the inoculum (Table 1) were measured by means of TGA 701 LECO (LECO Corporation, St. Joseph, MI, USA) (see Table 1) [24,25]. Moisture, ash, total solids and volatile solids content were measured according to References [26,27,28].

2.2. Nutrient Mix

The nutrient mix was constituted by micronutrients and macronutrients required for the optimum microbial growth, and the composition of the mix used in the tests is shown below (Table 2). The micronutrients and macronutrients used are covered by a non-disclosure agreement with the company that has developed the incubation system.

2.3. Instruments and Methodology for Continuous Laboratory Reactor Test

The effect of addition of the nutritional mix on the primary substrate was tested in a continuous laboratory reactor that faithfully reproduces the operation of the anaerobic fermenter on an industrial scale. This experimental campaign was preceded by the design, development, and testing of the system, aimed at assessing the suitability and functionality of the system itself.
The reactor (Figure 1) (Maufacted by BioBooster Srl, Italy) consisted of a cylindrical stainless-steel tank equipped with a supply duct placed on the upper part of the cylinder itself and a recirculation duct equipped with an external pump that allows the mixing of the substrate. On the upper part of the reactor two pipes were placed for the installation of a pressure data acquisition system and a biogas venting system. On the side wall of the cylinder a temperature sensor was placed. The reactor was also equipped with a valve and an outlet pipe for expelling the digested material. The reactor was emptied by a valve at the base of the cylinder itself. The heating system was electric with manual temperature adjustment. The maintenance of a constant temperature during operation was guaranteed by the presence of a layer of insulating material that was wrapped around the reactor and the recirculation duct.
The experimental test on the pilot plant was conducted in mesophilic conditions (temperature equal to 40 °C) through three distinct consecutive phases.
During Phase 1, the stabilization phase, 36.5 L of digested matter were loaded inside the reactor (32.77 kg considering a substrate density of 0.8977 kg/dm3) for a period that guarantees the reach of the steady state. In the second phase (reactor feeding), once the substrate has been stabilized, the loading of the biomass started, taking into consideration the quantities loaded into the plant on a real scale. Phase 3 (reactor feeding with addition of nutritional mix) started once Phase 2 reached the steady state. In Phase 3 the digestate was mixed with nutrients and a small quantity of sucrose and incubated for 2 days in a hot bath at the same temperature of the reactor and then reloaded inside the reactor together with the new load of biomass. The addition of sucrose is carried out to activate the bacteria present in the nutrient mix and promote their growth. The quantities of nutrients and sucrose used in Phase 3 were equal, respectively, to 22 mL and 1 g per 500 mL of primary substrate. At each loading a charge of 1287 g of substrate was inserted into the reactor. This was composed by:
-
17 g of the incubated mixture;
-
350 g water and 350 g primary substrate;
-
570 g of newly charged biomass (composed by maize silage, olive pomace, and pig slurry in the same ratio used for Phase 2).
The mixtures loaded during Phases 2 and 3 are shown in Table 3.
Biogas production was measured with pressure sensors (UNIK 5000, accuracy 0.04% and stability 0.05%, manufactured by GE, USA), connected to a data acquisition system (NANODAC, Manufactured by Eurotherm by Schneider Electric, Frangarto, Italy).
Excess biogas was vented and sampled with an air tight syringe (HAMILTON 1025 SL, manufactured by Hamilton Company, Reno, Nevada); gas composition was analyzed using a gas chromatograph (Varian Inc., Model CP-4900 commercialized now by Agilent Technologies, Santa Clara, CA, USA) equipped with 2 columns: a Molsieve 5A Backflush heated column (20 m × 0.53 mm) (Manufactured by Agilent technologies, Santa Barbara, CA, USA) and a Pora PLOT U heated column (10 m × 0.53 mm) (Manufactured by Agilent technologies, Santa Barbara, CA, USA). Argon and Helium were used as carrier gases. Injection temperature, column temperature and column pressure were set to 110 °C, 120 °C, and 50 Psi, and 110 °C, 150 °C, and 22 Psi, respectively, for Column 1 and Column 2. During the experimental tests both the quantity and the quality of the biogas produced was monitored and methane content of the biogas was periodically analyzed.

2.4. Anaerobic Digestion Plant

To verify the effective influence of nutrients in biogas production, the experimental results obtained on a laboratory scale were compared with the real data obtained at the industrial scale plant.
The plant was characterized by a net electrical output of 999 kWe and consisted of three components: two primary digesters and one secondary digester of working volume equal to 2000 m3 and 5000 m3, respectively. The primary digesters were covered, heated, and mixed to increase the reaction rate. The secondary digester was neither mixed nor heated, but was also used for storage of the biogas produced during the digestion process. The biogas plant configuration is presented in Figure 2.
In particular, the increase in biogas production was checked by acquiring the daily electricity production for the years 2014 and 2016. The data for the year 2014 were considered representative of the production of biogas before the installation of the incubation system, while those for the year 2016 were considered representative of the biogas production obtained after the installation of the incubation system, which happened during the year 2015. In order to have comparable data, they were collected and also analyzed together with the daily loading plans, implemented during the years 2014 and 2016. In this way it was possible to relate the production of biogas to the actual quantity of volatile substances loaded in the primary fermenters.
In particular, the operation of the incubation system consists of taking an aliquot of one cubic meter of substrate from the primary fermenter (about 0.05% of the entire reactor volume), adding the nutrients to the substrate, incubating the mixture for two days at the same temperature conditions of the plant and reintroducing it in the primary fermenter (Figure 3). The incubation aims at generating a substrate enriched with indigenous methanogenic bacteria, capable of improving the quality of the biogas and the efficiency of the degradation process.
The techno-economic analysis of the biogas plant was implemented with Retscreen software, comparing the situation of coupled anaerobic digestion and incubation with that of simple anaerobic digestion without incubation.

3. Results and Discussion

3.1. Tests in the Continuous Laboratory Reactor

The tests in the continuous laboratory reactor were repeated twice. Here we present the result of the first test. The first phase of biomass stabilization was necessary since the primary substrate, once arrived in the laboratory, was stored in the refrigerator at a temperature of 4 °C. Before being loaded into the digester, it was kept at room temperature for about 24 h and then loaded into the reactor and gradually brought to a temperature of 40 °C. The stabilization phase ended after 19 days, a period in which biogas production was constant, indicating a balanced condition of microbial growth in the substrate. On the 19th test day, the daily production of biogas was equal to 0.0035 ± 0.0002 Nm3/kgSV.
During phase 2 the mixture was loaded into the reactor every two days, simulating the loading conditions of the industrial scale biogas plant. In this phase the steady-state condition, characterized by constant daily biogas production, was reached after 23 days and the daily biogas production measured on the 42nd test day was equal to 0.0137 ± 0.0006 Nm3/kgSV. The continuous addition of fresh biomass inside the digester has increased the production of biogas, since new organic matrices have been introduced into the reactor.
Once the steady state conditions were reached during Phase 2, the mixture was loaded into the reactor, again every two days, and Phase 3 was started, characterized by the loading of biomass together with the mix of nutrients. In this phase the steady-state condition was reached after 28 days and the daily biogas production measured on the 70th test day was 0.0160 ± 0.0007 Nm3/kgSV.
The biogas daily production and cumulative biogas and methane production during the overall lab reactor test are shown in Figure 4.
The influence of the nutrients is evident in the final loading phase, where the production of biogas from the biomass mixed with nutrients is constantly higher than the production obtained by loading biomass without the nutrients mix. In particular, Figure 5 shows the trend of the cumulative methane production of Phases 2 and 3, which highlights, with the help of trend lines, the different trend of methane production with and without the nutrients mix.
The trend lines show an increase in the slope and therefore an increase in the methane content in correspondence with the feeding of biomass added with the nutrients mix. During each loading phase the biogas composition was analyzed, and the methane percentages are shown in Table 4.
The addition of the nutrient mix in the reactor results in a considerable increase in the methane content in the produced biogas.
The increase is apparently due to an increase in methanogenic bacteria activity; acetoclastic and hydrogenotrophic bacteria in particular, which represent the final step in the chain of degradation of the organic matter. The addition of a nutrients mix has boosted the increase in methanogenic bacteria that transform the products of the metabolism of acetogens into methane and carbon dioxide. The addition of the nutrients mix and therefore the increase of the methanogenic bacterial charge would therefore allow to regulate the symbiotic process that exists between the different bacterial species: The acid bacteria produce the substrate for the methanogenic bacteria, while the methanogens, eliminating the products of acidogenic activity, maintain the right level of acidity of the substrate.

3.2. Industrial Anaerobic Digestion Plant

To verify the effective influence of nutrients and the advantages of the new incubation plant, the experimental results obtained on a laboratory scale were compared with the real data obtained at the industrial scale. In particular, this check was carried out by collecting and analyzing the daily electricity production for the year 2014 (before the use of the incubator with the nutrients mix) and the year 2016 (after the use of the incubation system). In order to make a reliable comparison, the loading plan for the year 2014 and 2016 was analyzed. From this analysis it was shown that during the year 2014 and the year 2016 a total of 25.902 tons and 25.091 tons of animal and vegetal biomass were loaded, respectively, in the same proportions tested on a pilot scale. The electricity production obtained in 2014 and the one obtained in 2016 are reported in Table 5 and the percentage increase in energy production has been calculated.
After determining the electrical energy produced by the plant in the years considered, the electrical efficiency of the cogenerator (ηel = 40.6%), the calorific value of the methane (35.88 MJ/Nm3), and the amount of volatile substances added annually into the primary fermenters, it was possible to trace the annual methane yield. In particular, Table 6 reports for each year the methane yield.
Therefore, comparing the yield for 2014 with the value considered for the year 2016, an increase in methane production of around 12 v% was calculated.

3.3. Economic Analysis

The increase on biogas production and methane concentration can have important impact on the economic balance of the biogas plant. The data reported in Table 7 represent the main inputs used in the economic feasibility analysis.
The biomass production costs were calculated assuming that the feedstock is mainly represented by maize silage, which is cultivated by the company which owns the biogas plant.
The cumulative cash flows for the anaerobic digestion plant, when coupled with the incubator, are presented in Figure 6.
Table 8 reports the comparison between the calculated financial indicators for the biogas plant with (AD + Incubator) and without (AD) an incubator.
The calculations show that pre-treatment systems, which are able to increase biogas production and give higher methane concentration, can repay their investment quite easily.
Figure 7 and Figure 8 deal with the sensitivity analysis on payback. The black bars represent the cases with an equity payback value higher than 6.
Figure 7 is based on the variation of two sensitivity factors: initial investment and fuel cost. The maximum variation inserted in the Retscreen software is equal to 20%. Figure 8 is based on the variation of initial costs and electricity export rate.
Figure 9 and Figure 10 show the results of risk analysis on equity payback. Figure 9 presents the seven most impacting factors on equity payback, ranked by decreasing order of importance.
Figure 10 shows the distribution analysis of equity payback, considering a 0% level of risk. It can be seen that the average value for the equity payback is about 5.8. The maximum value is about 8.3.

4. Conclusions

This study reports the results of experimental tests of anaerobic digestion on a laboratory and industrial scale, aimed at verifying and quantifying the increase in the biological efficiency of the anaerobic digestion process, in terms of biogas production and/or methane content, deriving from the use of a mix of nutrients and sucrose in an incubation pre-treatment plant. The main results show an increase of 12 v% in methane production from the industrial biogas plant when coupled with the anaerobic digester. This improvement can have significant economic advantages. In fact, this work shows that the net present value of the plant can increase about 30%. The equity payback period can decrease to 5.8, compared to the value of 7 calculated for the reference scenario (i.e., anaerobic digestion without an incubator). The main risks of the investment are electricity export rate, initial costs, and fuel costs

Author Contributions

P.B. and F.F. designed the experiments; F.L. and V.P. managed the experimental tests and elaborated the data; S.M. and M.Z. helped in discussing the results together with F.F., P.B. and M.M.; and N.H. helped in formatting and further improving the paper.

Funding

This research was funded by POR-FESR funds 2016 of Emilia Romagna Region.

Acknowledgments

The authors would like to acknowledge the LIFE 16 ENV/IT/000547 project I-REXFO LIFE (http://irexfo.eu/). i-REXFO LIFE (LIFE16ENV/IT/000547) is a project funded by the EU under the LIFE 2016 program. The authors would like to thank the POR-FESR funds 2016 of Emilia Romagna Region and the collaboration of the startup Biobooster srl.

Conflicts of Interest

The authors declare no conflict of interest.

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  28. CEN/TS 15148 Solid Biofuels—Method for the determination of the content of volatile matter. Available online: http://store.uni.com/catalogo/index.php/uni-cen-ts-15148-2006 (accessed on 2 December 2019).
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  31. Available online: https://www2.deloitte.com/content/dam/Deloitte/global/Documents/Tax/dttl-tax-italyhighlights-2019.pdf?nc=1 (accessed on 2 December 2019).
  32. Available online: https://tradingeconomics.com/italy/bank-lending-rate (accessed on 2 December 2019).
  33. Available online: http://www.crpa.it/media/documents/crpa_www/Convegni/20130314_BiogasBiometano_RA/Ragazzoni_RA_14-3-2013.pdf (accessed on 2 December 2019).
Figure 1. Continuous laboratory reactor.
Figure 1. Continuous laboratory reactor.
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Figure 2. Biogas plant layout.
Figure 2. Biogas plant layout.
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Figure 3. Layout of the anaerobic digestion (AD) system with a nutrient mix reactor.
Figure 3. Layout of the anaerobic digestion (AD) system with a nutrient mix reactor.
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Figure 4. Daily biogas production (a) and cumulative biogas and methane production (b).
Figure 4. Daily biogas production (a) and cumulative biogas and methane production (b).
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Figure 5. Cumulative methane production during Phases 2 and 3 and their linear trends.
Figure 5. Cumulative methane production during Phases 2 and 3 and their linear trends.
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Figure 6. Cumulative cash flow of the anaerobic digestion plant coupled with the incubator.
Figure 6. Cumulative cash flow of the anaerobic digestion plant coupled with the incubator.
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Figure 7. Sensitivity analysis on payback period by varying initial costs and fuel costs.
Figure 7. Sensitivity analysis on payback period by varying initial costs and fuel costs.
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Figure 8. Sensitivity analysis on payback period by varying electricity export rate and initial costs.
Figure 8. Sensitivity analysis on payback period by varying electricity export rate and initial costs.
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Figure 9. Relative impact of parameters on the equity payback.
Figure 9. Relative impact of parameters on the equity payback.
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Figure 10. Distribution analysis of equity payback through Monte Carlo analysis.
Figure 10. Distribution analysis of equity payback through Monte Carlo analysis.
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Table 1. Chemical and physical characteristics of the substrate and the digested matter (wet basis).
Table 1. Chemical and physical characteristics of the substrate and the digested matter (wet basis).
SubstrateMoisture (%)Volatile Solid (%)Ash (%)Fixed Carbon (%)Total Solid (%)
Primary substrate93.56 ± 0.325.22 ± 0.021.21 ± 0.110.01 ± 0.016.44 ± 0.31
Maize silage57.67 ± 0.1139.84 ± 0.131.25 ± 0.071.24 ± 0.0342.33 ± 0.44
Pig slurry97.94 ± 0.241.58 ± 0.010.48 ± 0.050 ± 0.012.06 ± 0.02
Olive pomace80.3 ± 0.2218.45 ± 0.230.92 ± 0.090.33 ± 0.0119.07 ± 0.51
Table 2. Chemical and physical characteristics of the micronutrients (wet basis).
Table 2. Chemical and physical characteristics of the micronutrients (wet basis).
SubstrateMoisture (%)Volatile Solid (%)Ash (%)Fixed Carbon (%)Total Solid (%)
Nutrient mix95.46 ± 0.731.13 ± 0.033.20 ± 0.070.21 ± 0.014.54 ± 0.06
Table 3. Composition of the mixtures loaded in the laboratory continuous reactor during Phases 2 and 3.
Table 3. Composition of the mixtures loaded in the laboratory continuous reactor during Phases 2 and 3.
SubstratePhase 2Phase 3
Maize silage (g)380380
Olive pomace (g)8080
Pig slurry (g)110110
Water (g)350350
Primary substrate (g)350350
Incubated mixture (nutrient mix)17
Total (g)12701287
Table 4. Composition of the mixtures loaded in the laboratory continuous reactor during Phases 2 and 3.
Table 4. Composition of the mixtures loaded in the laboratory continuous reactor during Phases 2 and 3.
PhaseMax % CH4
1 (stabilization)54.10 ± 0.83
2 (reactor feeding)65.94 ± 1.17
3 (reactor feeding with addition of nutritional mix)67.84 ± 2.51
Table 5. Electricity production in 2014 and 2016.
Table 5. Electricity production in 2014 and 2016.
Electricity Production Year 2014 (kWhel)Electricity Production Year 2016 (kWhel)Increase (%)
7,989,7018,075,9001.08
Table 6. Electricity and methane production in 2014 and 2016.
Table 6. Electricity and methane production in 2014 and 2016.
Year 2014Year 2016
kWhel year7,989,7018,075,900
Nm3 methane/year1,974,4881,995,791
Nm3 methane/kgSV0.2550.287
Table 7. Capital expense (CAPEX) and operating expense (OPEX) of the biogas plant.
Table 7. Capital expense (CAPEX) and operating expense (OPEX) of the biogas plant.
ComponentValueUnit of MeasureSource
CHP plant600€/MWel[29]
Biogas plant600€/plant[29]
Building and logistics plus installations2.6M€/plant[29]
Incubator40,000€/plantAssumed
Maintenance0.030€/kWh[30]
Labor45,000€/person[29]
Biomass11€/tCalculated
Discount rate5%[29]
Taxes24%[31]
Debt interest2%[32]
Debt ratio50%Assumed
Project life20Years[29]
Electricity export rate140€/MWh[33]
Table 8. Comparison between the financial indicators of the plant with (AD + Incubator) and without (AD) an incubator.
Table 8. Comparison between the financial indicators of the plant with (AD + Incubator) and without (AD) an incubator.
IndicatorUnit of MeasureAnaerobic Digester + IncubatorAnaerobic Digester
Pre-tax Internal Rate of Return-equity%23.719.6
Pre-tax Internal Rate of Return -assets%10.37.9
After-tax Internal Rate of Return -equity%16.313.0
After-tax Internal Rate of Return -assets%5.83.6
Simple paybackyr6.67.6
Equity paybackyr5.87.0
Net Present Value (NPV)2,168,5441,457,326
Annual life cycle savings€/yr174,010116,940
Benefit-Cost (B-C) ratio-2.131.77
Debt service coverage-4.934.30
Energy production cost€/MWh113.86120.74
Greenhouse Gases reduction cost€/tCO2(107)(79)

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Liberti, F.; Pistolesi, V.; Mouftahi, M.; Hidouri, N.; Bartocci, P.; Massoli, S.; Zampilli, M.; Fantozzi, F. An Incubation System to Enhance Biogas and Methane Production: A Case Study of an Existing Biogas Plant in Umbria, Italy. Processes 2019, 7, 925. https://doi.org/10.3390/pr7120925

AMA Style

Liberti F, Pistolesi V, Mouftahi M, Hidouri N, Bartocci P, Massoli S, Zampilli M, Fantozzi F. An Incubation System to Enhance Biogas and Methane Production: A Case Study of an Existing Biogas Plant in Umbria, Italy. Processes. 2019; 7(12):925. https://doi.org/10.3390/pr7120925

Chicago/Turabian Style

Liberti, Federica, Valentina Pistolesi, Mawaheb Mouftahi, Nejib Hidouri, Pietro Bartocci, Sara Massoli, Mauro Zampilli, and Francesco Fantozzi. 2019. "An Incubation System to Enhance Biogas and Methane Production: A Case Study of an Existing Biogas Plant in Umbria, Italy" Processes 7, no. 12: 925. https://doi.org/10.3390/pr7120925

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