Values obtained from methane potential in various co-digestion processes.
To describe anaerobic fermentation, many mathematical models have been suggested. A commonly accepted hypothesis in microbial growth is the speed of cellular reproduction, which is proportional to the concentration of cells at that instant. The constant of proportionality between the speed of growth and cell concentration is called cell growth rate, μ. In many occasions, the cell growth rate is considered constant. This leads to conclude that the concentration of cells versus time presents an exponential function. The consideration of this equation provides a good adjustment in the beginning of central phase of the anaerobic fermentation process. However, it moves away from the measurements when there is a limited reproduction due to lack of nutrients and competition between the cells in the environment. This produces a sigmoidal variation in concentration. To find a suitable fit function for all phases of the process, Gompertz proposes a model that considers the cell growth rate as variable. In this chapter, the Gompertz model, kinetic models, transference, and cone models are evaluated. Different adaptations to fit the variables to the obtained values in the experiments have been reviewed.
- mathematical model
- kinetic model
Anaerobic digestion is a biological process in which the organic matter in the absence of oxygen, and through the action of a group of specific bacteria, is broken down into a set of gaseous products, called biogas, formed by CH4, CO2, H2, H2S, etc. and in a digestate, which is a mixture of mineral substances (N, P, K, Ca, etc.) and compounds of difficult degradation . One of the objectives of anaerobic digestion is the production of methane, which can be used as fuel. Anaerobic digestion is considered one of the most important and advantageous processes in the treatment of livestock manure and sludge residues. It represents a possibility to reduce its environmental impact while at the same time, providing a biofuel for local energy needs . This process has been known for hundreds of years; however, it is still the object of research due to the great variability of the conditions in which it can be produced, diversity of raw materials, and influential factors.
Table 1 shows some of the most recent researches. In recent years, there has been an increasing interest in new raw fermentation materials, mainly lignocellulosic materials from agriculture, or waste such as paper and cardboard. So, co-digestion processes are being analyzed, which consist of improving methane production by mixing materials that ferment better together than separated due to the enriched microbial load; in this way, their nutritional needs are better complemented.
|Bayrakdar et al. ||Chicken manure||0.272|
|Franco et al. ||Wheat straw + inoculum||0.229|
|Franco et al. ||Wheat straw + glucose + ac. Formic + inoculum*||0.276|
|Guo et al. ||Excessively withered corn straw + glucose||0.282|
|Li et al. ||Parton + sheep manure||0.152|
|Li et al. ||Paper + sheep manure||0.199|
|Mancini et al. ||Lignocellulose in general||N-methylmorpholine N-oxide||0.304|
|Martín Juárez et al. ||Microalgae + pig manure||Alkaline pretreatment with NAOH||0.377|
|Mustafa et al. ||Bagasse of sugarcane + inoculum*||Hydrothermal pretreatment||0.318|
|Vazifehkhoran et al. ||Wheat straw + sewage||0.314|
|Xu et al. ||Corn straw + ||Microaerobic mesolithic||0.270|
|Zahan et al. ||0.670|
|Aboudi et al. ||Dry sediment of sugar beet tails + pig manure||0.260|
|Dennehy et al. ||Food waste and pig manure||0.521|
|Glanpracha and Annachhatre ||Cassava pulp with pig manure||0.380|
|Marin Batista et al. ||Vinasse and chicken manure (chicken dung)||0.650|
|Aboudi et al. ||Dry beet granules of sugar beet + cow dung||0.280|
|Belle et al. ||Fodder radish with cow dung||0.200|
|Cestonaro et al. ||Sheep litter (mixture of rice husk with feces and urine) + cattle manure||0.171|
|Di Maria et al. ||Sludge from wastewater with fruit and vegetable waste||0.216|
|Fu et al. ||Corn straw + inoculum *||Thermophilic microaerobic||0.326|
|Fu et al. ||Corn straw + inoculum *||Secondary thermophilic microaerobic||0.381|
|Agyeman and Tao ||Food waste + livestock manure||0.467|
New inocula, such as the rumen, and its interaction with the raw material are also being examined, together with nutritional requirements. Pretreatment studies are being carried out along with thermal sequences in the processes, alternating thermophilic and mesophilic stages and evaluating the productivity, kinetics, and net energy balance. The microbiological identification involved in the fermentation according to the substrate and the followed thermal process also acquire interest.
One of the most discussed aspects is mathematical modeling. The objective of the modeling is to be able to establish characteristic parameters of the raw material and process conditions to predict the system’s evolution over time, the performance obtained, and fermentation speed. In this study the most important models are evaluated.
Anaerobic digestion comprises a decomposition mechanism of organic matter based on three stages : first a hydrolytic phase, in which polymers of long carbon chains are broken obtaining shorter acid chains, subsequently, an acetogenic phase, in which the short-chain acids obtained in the previous phase are transformed into acetic acid, and finally, a methanogenic phase, in which the acetic acid is transformed into methane.
Each of these stages is provided by a differentiated microbiological group. Each group takes as a substrate to the product generated in the previous phase. When the evolution of a microbial group is analyzed in a batch-type reactor, in batches, the variation of cell concentration varies, as shown in Figure 1.
Initially, the concentration of microorganisms responsible of digestion is small and evolves very slowly in this stage because it needs time to adapt. This phase is called
From the practical point of view, it is only interesting to analyze the period between the beginnings of the fermentation to the stationary phase, appearing a curve similar to the sigmoid one. However, the sigmoid equation does not correctly fit the experimental results obtained.
2. Exponential model
A model widely used to describe the variation of cell concentration in the growth phase has been the exponential model. This model is based on the hypothesis that the speed of growth in an instant is proportional to the concentration of cells existing at that moment. This is expressed mathematically by Eq. (1), where
The development of Eq. (1) shows that, in the growth phase, the variation of cells follows an exponential curve:
This model is not completely satisfactory because it has been verified that μ is not constant and it varies as time goes by. As competition for the substrate increases, the curve in Figure 1 moves away from the exponential. To achieve a better fit, Monod proposed a model for calculating the cell growth rate as a function of the substrate concentration according to Eq. (3), where
The Monod model proposes the existence of a maximum cell growth rate and a saturation constant that are characteristics of microbial species growing under defined conditions. The maximum growth rate is the one that occurs initially in the growth phase exponentially. When the substrate begins to be scarce, the rate decreases with respect to the maximum.
Along with the Monod model, there are others with the same style that can be observed in Table 2. In all of them, it can be seen that the maximum rate value considered in the exponential phase is minorized when the substrate concentration is low.
|Type of model||Author||Model|
|Kinetic models without inhibition||Tessier|
|Kinetic models with inhibition||Andrews and Noak|
|Aiba et al.|
|Tseng and Wymann|
The relationship between the variations of cell concentration is always proportional to substrate consumption. The proportionality constant is called the biomass/substrate yield
If the initial concentration of substrate (So) is known, the variation of cell mass during the process is obtained from the biomass/substrate ratio of the process
The amount of product generated per unit volume and time (
Since the variation of cell concentration is proportional to the concentration of cells at a given time, we have to.
By developing the variation of cell concentration over time, it has been demonstrated that the amount of product obtained (methane) follows an exponential growth during the exponential growth of microorganisms. That is the reason because working in this phase with batch-type bioreactors is preferred for optimum performance. To do this, you must adjust the retention time to the duration of this stage.
represents the initial cell concentration in the reactor;
whereas the value of is negligible compared to the exponential, that is , the accumulated volume obtained in each experiment can be graphically represented with the model of Eq. (1), calculating the cell growth rate, the productivity of the substrate, and the optimum retention time for a greater use of energy:
3. Model of Gompertz
Despite the practicality of the exponential model when complemented by the Monod equation, it is not completely satisfactory because it does not describe well the variation of cell concentration as the substrate is being consumed and the stationary phase approaches. Knowing how cell growth behaves in this area is significantly relevant if you want to use high retention times.
To find an adequate adjustment function for all phases of the process, Winsor  proposes to use an equation developed by Gompertz  in human demography. This proposes a model that considers the variable cell growth rate, as shown in Eqs. (5) and (6), where
According to Eq. (6), Gompertz moves radically away from the Monod approach, since the cell growth rate has no maximum. If there was a maximum, the derivative of Eq. (6) would be canceled at some point, something that does not happen:
To obtain the function of cell concentration in time according to Gompertz, we must solve Eq. (5), which is a differential equation of separable variables:
Therefore, Eq. (7) is obtained, which describes the cellular concentration in the reactor for each instant. This equation is the true contribution of the Gompertz:
When analyzing the limits in zero and infinity, we observe that the initial concentration of cells is
3.1. Considerations to the Gompertz model
The instant in which the maximum growth velocity
The concentration of cells where the maximum reproduction speed occurs is calculated by entering the value of
The maximum reproduction speed value is obtained by substituting
According to the previous thing, the curve tangent
If we define the latency time, , as the time in which the tangent line at the curve inflection point (point that coincides with maximum velocity) cuts the axis of the abscissa, we have that the latency time is in :
From this equation,
Obtaining the Gompertz equation is Eq. (9). This equation has become popularized as the
To experimentally obtain the maximum reproduction speed and the latency time,
The latency time and the maximum speed of cellular reproduction will be characteristics of the microbial group in certain conditions.
3.2. Cumulative production curve of methane applying Gompertz
If we consider the product/biomass yield, we have.
Taking limit when the time tends to infinity, it is shown that the methane potential produced is :
If we calculate the second derivative of the methane production curve and we equate to zero, then a maximum methane speed production point occurs:
The maximum methane production rate is :
Table 1 shows the values obtained from the methane potential in various co-digestion studies. All of them were carried out in mesophilic conditions, between 30 and 37°C. It can be observed that the production of methane in most cases ranges between 0.15 and 0.65 m3 kg−1SV. Based on this calculation, we could classify the digestion processes into three groups: (a) low-production processes, the amount of methane produced is between 0.15 and 0.30 m3 kg−1SV, (b) medium-production processes, the amount of methane produced is between 0.300 and 0.45 m3 kg−1SV, and (c) high-production processes, the amount of methane produced is greater than 0.45 m3 kg−1SV.
These types of productions and their energy equivalence mean that anaerobic digestion processes are considered more as a waste management and treatment process with a complementary energy product than as an alternative energy source to the problems derived from the limitation of fossil fuels.
3.3. Conclusions of the Gompertz model
The Gompertz model provides an equation that describes cell concentration over time in a fermentation process.
To define this equation, it is necessary to obtain the value of three constants:
The Gompertz model implies that there is no maximum cell growth rate.
4. Kinetic models
The complexity of the Gompertz model and the problems that exist when applying the derivatives of the Monod and Contois equation have led some researchers to suggest models that do not focus on the growth rate but on the kinetics of substrate degradation or product formation. Brulé et al.  classify the kinetic models into four groups:
Reaction in a single step with first-order kinetics.
Two-step reaction with first-order kinetics.
Reaction in two speeds of a single step with first-order kinetics.
Reaction in two speeds of two steps with first-order kinetics.
4.1. One-step reaction with first-order kinetics
This model shows reaction rate is proportional to the amount of reagent, in this case substrate. So
As the mass in the reaction is conserved, the mass of product
Angelidaki et al.  used this kinetic type, relating the concentration of methane that is generated in a reactor with the maximum potential through the following equation:
Díaz et al.  evaluated the digestion of cellulose with manure by comparing the first-order equation, including in the equation the latency time (13) and the modified Gompertz equation. They concluded that both models did not offer significant differences in the coefficient of determination obtained in the models (r2), neither in the methane potential predicted
Zhang et al.  also compared the modified Gompertz equation and thefirst-order kinetic model according to Eq. (13). Zhang confirms that the first-order kinetic model provides longer latency times and methane potentials than Gompertz. However, it provides slightly lower coefficients of determination.
4.2. Two-step reaction with first-order kinetics
Shin and Song  considered anaerobic digestion as a two-step process that could work at different speeds. Although this comprises a complex hydrolytic, acetogenic, and methanogenic process, a more suitable kinetic model than the previous one would consist in first considering the formation of volatile fatty acids (
The formation of volatile fatty acids depends on the substrate concentration, following first-order kinetics, where
Given the , you have the equation:
On the other hand, the elimination of the fatty acids will depend on the concentration of the same, also following first-order kinetics, being
According to the mass balance in the formation of the
The solution to Eq. (14) results
From this equation, the accumulated methane production is obtained as
4.3. Reaction in two speeds of a single step with first-order kinetics
The chemical composition of the substrates is generally heterogeneous and can be constituted by several fractions with different hydrolysis rates. This implies that we can consider the process as two parallel but independent mechanisms that occur simultaneously. If we define
Dennehy et al.  compared three different kinetic models to determine the most suitable to describe the kinetics of the discontinuous co-digestion of food waste and pig manure at 37°C: (1) first order, (2) Gompertz, and (3) two-speed one-step reaction with first-order kinetics. They showed that the three models provide similar determination coefficients; however, the RMSE (root of the mean of the squares of the errors) is significantly reduced when the two-speed digestion is considered. The worst RMSE was for the Gompertz model. The first-order kinetic model reduced the RMSE by 39%, and the first-order kinetic model with two speeds reduced the RMSE by 80%. The highest methane yields they obtained were 0.521 ± 29 m3 CH4 kg−1 VS.
4.4. Reaction in two speeds of two steps with first-order kinetics
If we consider two steps in each of the fractions of which the substrate is composed, both for the rapidly degradable substrate fraction and for the slowly degradable substrate fraction, we can obtain the following equation:
Brulé et al.  evaluated the four kinetic models described, concluding that the models that consider an easy speed in both a step and two steps yield a reasonable estimate. In contrast, the model that considers two speeds with a single step produces overestimates. Therefore, it is considered inadequate. This overestimation is corrected by applying the two-step model at two speeds but complicates its application.
5. Model based on the transfer function
Several studies, such as Ghufran and Charles , Li et al. , or Zahan et al. , have used a function derived from the first-order kinetic model but which substitutes the kinetic constant for the ratio between the maximum and the methane velocity:
6. Cone model
7. Comparison of models
For the evaluation of the models, most researchers usually use two statistics: (a) coefficient of determination of the fit (r2) and (b) root of the mean of the squares of the errors (RMSE) calculated by Eq. (16), where
Pitt et al. , Ghufran and Charles , El-Mashad , Li et al. , and Zahan et al.  compared the modified Gompertz model, the first-order kinetic model, the transfer function model, and the cone model, for different types of substrates and combinations in co-digestion.
As you can see, all the models provide high coefficients of determination, and there are few differences between them. The transfer model and the first-order kinetic model generally produce higher RMSE, so the modified Gompertz model and the cone model make more accurate estimates. However, the Gompertz model estimates higher latency periods.
In this research work, the most important kinetic models used to describe anaerobic fermentation have been developed. The comparison between them is a subject currently studied as demonstrated in recent publications. All of them provide high coefficients of determination; however, they present significant differences in the RMSE.
The production of methane in most cases ranges between 0.15 and 0.65 m3 kg−1SV, under mesophilic conditions (30–37°C). However, digestion processes can be classified into three groups according to the methane production potential:
low-production processes, when the amount of methane produced is between 0.15 and 0.30 m3 kg−1SV.
medium-production processes, when the amount of methane produced is between 0.30 and 0.45 m3 kg−1SV.
high-production processes, when the amount of methane produced is greater than 0.45 m3 kg−1SV.
The average lag time is 14 days.
The mean of the first-order kinetic constant is 0.11 d−1.