KR100360944B1 - Method for purification and collection of methane gas in landfill - Google Patents

Abstract

The present invention discloses a method for collecting and purifying LFG in a landfill. The method includes the steps of checking a landfill method of a landfill site (s100), selecting one of a model formula for calculating a plurality of LFG generation rates and generation rates applicable to the identified landfill site (s200), and a landfill site. Inputting data (s300), calculating gas generation amount, generation rate, cumulative amount and composition using the model equation based on the input landfill-related data (s400), selecting a landfill sealing condition (s500), and a blower Determining an outlet pressure (s600), calculating data for designing a facility for recovering and purifying the generated gas according to the selected landfill closure condition and the determined blower outlet pressure (s700), and collecting, recovering and refining facilities Entering the basic unit price (s800) and the economics of the collection, recovery and purification facilities based on the calculated data and the input base unit price Evaluating step (s900) is made.

Description

Method for purification and collection of methane gas in landfill

The present invention relates to a methane gas collection and purification method of landfills. In particular, it relates to the collection, purification and utilization of LFG in landfills.

Currently, the most common disposal method of municipal solid waste is landfill, and the landfill gas (LFG) generated by these landfills is a great environmental problem, but it contains 50 to 60% of the high concentration of methane. When used as an alternative energy source, it can be expected to have a great effect on the efficient use of energy as well as environmental problems.

However, in Korea, 94% of the wastes currently discharged are landfilled, and more than 90% of the 1000 landfills are unsanitary landfills, but due to this waste disposal method, huge amounts of waste energy are generated from landfills. ) Is not recovered as a resource but is released as it is, causing environmental pollution and wasting potential energy. In addition, in Korea, which aims to advance land use, it is required to secure landfills and stabilize the landfills early. However, since there is no record of LFG recovery and utilization in Korea, and foreign waste imagination and landfill characteristics are different from those in Korea, it is necessary to develop an LFG generation prediction model suitable for Korea's environment and develop optimization technology for packaging, refining, and utilization. Do.

The rate of methane gas evolution with time is directly affected by anaerobic methane-producing microbial growth kinetics and activity in landfills. It is well known that it can be represented.

Where X: biomass concentration (mg / l)

k: growth rate constant (t ^-1 )

The problem with this model, however, is that it does not take into account the reduction of biomass against resistant breathing.

As another model equation, the Palos Verdes Kinetic Model equation is also well known as the expression representing the kinetics of gas generation based on the Monod equation in Palos Verdes landfill. The disadvantage of this model, however, is that the t _1/2 and t _99/100 values are considerably smaller.

The present invention has been made to solve the above problems of the prior art, and an object of the present invention is to provide a method for collecting and refining methane gas in a landfill.

Other objects and advantages of the present invention will become more apparent from the following detailed description of the invention and the accompanying drawings.

1 is a flow chart of the methane gas collection and purification method of the landfill according to the present invention.

2 is a diagram illustrating an example of a menu part of the software developed according to FIG. 1.

3 is an exemplary configuration diagram of a data input unit of software of FIG. 2;

FIG. 4 is a diagram illustrating a configuration of a gas generation amount, speed, accumulation amount, and composition of the software shown in FIG. 2; FIG.

5 is an exemplary diagram of outputting LFG generation amount through the software of FIG. 4.

FIG. 6 is an exemplary diagram showing a graph showing the total annual amount of LFG generated by the software of FIG. 4. FIG.

7 is an exemplary view of the generation rate change of the LFG through the software of FIG.

FIG. 8 is a diagram illustrating output of an LFG accumulation amount and an available accumulation amount prediction graph through the software of FIG. 4; FIG.

9 is an exemplary configuration diagram of the LFG composition unit through the software of FIG. 4.

FIG. 10 is an example of the configuration of a recovery / purification facility design data detail display unit of the software of FIG. 2. FIG.

FIG. 11 is an exemplary view of economic evaluation of the LFG collection, recovery, and purification facility of the software of FIG. 2; FIG.

FIG. 12 is an exemplary view of evaluating the cost of an LFG collection facility, a collection facility, a purification facility, and an entire facility of the software of FIG. 2. FIG.

The method for capturing and refining LFG in a landfill according to the present invention is as shown in the flow chart of FIG. 1, checking the landfill method of the landfill (s100), and generating a plurality of LFGs applicable to the landfill method. Selecting one of the model equations for calculating the generation rate (s200), inputting the landfill-related data (s300), and calculating the gas generation amount, the generation rate, the cumulative amount and the composition by using the model equation based on the input landfill-related data. Computing step (s400), selecting the landfill sealing conditions (s500), determining the blower outlet pressure (s600), the facility for recovering and purifying the generated gas according to the selected landfill sealing conditions and the determined blower outlet pressure Computing the data for designing (s700), input the basic unit price of the collection, recovery and purification facility (s800) and the system On the basis of the data and the input basic unit comprises a step (s900) for evaluating the economic efficiency of the collection, recovery and purification facility.

In the present method, the plurality of model equations include an MP model equation, an M-MP model equation, an APP MP model equation, and a big trust model equation. A more detailed description of the model equation follows: In general, it can be assumed that the biological degradation of combustible components follows one of three forms:-dS / dt = k (zero order reaction) -dS / dt = kS (first-order equation), -dS / dt = kS ² (second-order equation) where S = concentration of degradant (mol / L), k = rate of decomposition constant. This is a zero-order reaction that is independent of organic concentration and can be applied when there is a lack of water or nutrients in the waste or a substance that is toxic to anaerobic bacteria. . As in the third equation, the secondary reaction is highly dependent on the concentration of organic matter and can be applied when the decomposition conditions are maintained at an optimum state. In fact, when calculating the amount of landfill gas generated, the theoretical generation amount for the secondary reaction is very different from the calculated generation amount by waste dust, so the decomposition reaction order of waste is appropriate for the primary decomposition rate. If it is reduced in half, it means that the decomposition rate is also reduced in half and can be applied when proper decomposition conditions are maintained. In practice, there are many difficulties in measuring the rate of waste decomposition in landfills, so it is impossible to make a clear distinction in which order the decomposition of landfill waste corresponds to the equation of decomposition. S _t = S ₀ e ^-kt (S ₀ = initial gas generation of decomposition products, S _t = amount of decomposition products remaining in time t) Using the equation above and the waste decomposition rate of the landfill gas generation model The theoretical landfill gas generation rate and generation amount can be predicted. The related model equations are as follows: ① EPA model dL / dt = -KL, first-order reaction model (L: amount of gas remaining after a certain time t, t: elapsed time, k: gas generation rate constant) EPA model L ₀ (= 8,120 ft ³ / ton-waste) and k (= 0.02 / year) are the representative values for the entire waste, and the waste water content and chemical composition are different from the domestic waste. As it reflects the US waste characteristics, it would be unreasonable to apply in consideration of domestic situation. In addition, the EPA model makes it possible to predict the amount of gas generated by substituting one k value for all wastes as a single waste of the same type. ② Palos Verdes Kinetic Model The Palos Verdes Kinetic model is a two-stage decomposition process. Interpret The mathematical decomposition of the two stages is as follows. First assume that the wastes in the landfill are discontinuous monomolecular primary reactions and the first stage decomposition is as follows: dL / dt = k ₁ L or lnL = k ₁ t + lnC ₁ dG / dt = k ₂ G or lnG = k ₂ t + lnC ₂ (L: amount of gas produced by waste decomposition during random time t, G: estimated amount of gas that can be generated by further decomposition if decomposition time t has elapsed, Q: generation Total amount of gas available, k ₁ k ₂ : Gas generation rate constant, C ₁ C ₂ : Integral constant) When the decomposition of garbage reaches half-life (L = G = Q / 2, t = t _1/2 ) Where t _t represents half-life: ln (Q / 2) = k ₁ t _1/2 + lnC ₁ , ln (Q / 2) = k ₂ t _1/2 + lnC ₂ can be expressed as .lnL = ln (L / 2) - k 1 (t 1/2 - t), lnG = ln (L / 2) - k 2 (t - t 1/2) ③ Sheldon Arleta model Sheldon Arleta The model is similar to the Palos Verdes model, but the method of determining t _1/2 is different. The Sheldon Arleta Model was designed based on the anaerobic digestion of sewage sludge from the GM Fair and EW moore. In the experiments of Fair et al., The maximum gas production was obtained on day 14, and in 40 days 99% of the substrate was decomposed. From these results, gasification curves were prepared by dimensioning the maximum gas volume and the time into pre-decomposition time (40 days). In other words, the gas generation is maximized at the point of 35% (14/40 * 100) of the pre-decomposition period, which is applied to the estimation of the amount of gas generated at the landfill. Compared to the Palos Verdes Model, the peak gas generation time was 7 to 18 times different. Originally applied to the results of anaerobic digestion of sewage sludge, correction is necessary when applied directly to landfill. In fact, the maximum amount of gas generated at the landfill site is often earlier than the point obtained from the model. It is assumed that The subsequent rate of development is assumed to be based on the same relationship as Palos Verdes's second-stage model, where the equation is:-dL / dt = kL (t: time, L: Volume of methane remaining to be produced after time t) Integrating the above equation L = L ₀ Exp (-kt) G = L ₀ -L = L ₀ [1- Exp (-kt)] (L ₀ : Total volume of methane (flow), G : Volume of methane produced before t time (flow rate) dG / dt = -dL / dt = kL = kL ₀ Exp (-kt) By integrating the initial condition of t = 0, G = 0, G = L ₀ (1-Exp (-kt)) The gas generation rate is differentiated by t to become kL ₀ e ^-kt . According to the year of landfill, the type of waste is subscripted, and the gas generation rate of the entire landfill at any point can be expressed by the following equation. (n: number of waste subgroups, r _i : sub group (i) ratio of total waste volume of waste, t _i : sub group (i) elapsed time from when the waste is buried to the rate of occurrence, k _i : Reaction constant of Sub group I) The MP model equation applied to the present invention is a model in which the gas generation amount (102.5 m ³ / ton-waste) is applied to L ₀ (gas generation amount) in a domestic landfill in the EPA model equation. The M-MP model equation applied to anaerobic organic matter decomposition equation (first differential equation) is obtained by differentiating the equation dC (t) / dt = -kC (t) when C (t) is the concentration of organic matter. Equation of methane gas generation was obtained. m: Landfill period, n: Number of phases (rapid decomposition, slow decomposition, hard decomposition), a: Transition variable (300 m ³ / ton · waste) A _j : Tonnage of landfill waste for j years, k _i : Each phase (i It is on each of the combustible min (wt%) also 102.5m ³ / ton in a (transition variable) according to the present invention; APP-MP expression model M-MP model applied to,:) degradation rate _constant, C _{o, i, j} of. Next, the big trust model equation according to the present invention divides the municipal waste into rapid, slow and hard decomposition, and considers the half-life and the time taken for the decomposition to reach 99/100. It is a model formula calculated by correcting the amount of landfill by year and landfill period. The big trust model was applied to the Palos Verdes Kinetic Model based on the Monod equation, and the half-life can be expressed in two stages of equations (2) and (3).

Where G and L each represent the volume of gas produced before time t (m 3), the volume of gas remaining after time t (m 3) and t _1/2 represents _half- life. L ₀ represents the volume (m 3) of gas latent in the initial organic waste.

The municipal waste is divided into a rapid decomposition waste, a slow decomposition waste, and a hardly decomposable waste, and k ₁ (t ^-1 ) and k corresponding to equations 4 and 5 corresponding to the gas generation rate constants from t _1/2 and t _99/100 , respectively. Find ₂ (t ^-1 ).

In the above formula, the applicant corrected the average value (102.5㎥ / flammable component dry ton) of the actual gas generation in Busan Seokdae landfill, and calculated the amount of landfill according to the landfill period by year. The composition of landfill gas was calculated by stoichiometric method using elemental analysis data of combustible waste at the time of landfill. If there is no elemental analysis, Nanjido landfill, Busan Seokdae landfill and Puente Hill landfill are used for designers to select and calculate.

The landfill-related data may include landfill tonnage, landfill period, waste density, landfill start year, combustible components, and combustible component analysis data.

Further, the buried depth-related data may further include buried depth, buried area, buried land temperature, atmospheric pressure, ash and moisture components, and combustible elemental analysis data.

The combustible component includes carbon, hydrogen, oxygen, nitrogen, and sulfur, and the combustible component analysis data includes classifying the waste components into rapid decomposition, slow decomposition, and hard decomposition materials (s310) and the composition according to the classification. Characterized by obtaining through the step (s320).

The flammable analytical data includes the time it takes for the half-life and decomposition to reach 99/100.

In addition, the method is characterized by separating CO ₂ and CH ₄ , it is preferable to use a forced convection type as the landfill gas recovery facility.

The step (s400) of calculating the gas generation amount, generation rate, cumulative amount, and composition includes calculation of K1 and K2 depending on whether the waste component is rapidly decomposed, slow decomposed, and hardly decomposed, wherein K1 and K2 are applied before the half-life. The decomposition rate constant of the waste and the decomposition rate constant of the waste applied after the half-life, respectively.

And wherein the composition includes carbon, hydrogen, oxygen, nitrogen and sulfur in a molar fraction, CH _4, CO _2, NH ₃ and stoichiometric coefficients of the H ₂ S and CH _4, CO _2, NH _3, and the volume of H ₂ S.

In this method, the data for designing a facility for recovering and purifying the generated gas includes: collecting well diameter, collecting well length, collecting pipe diameter, collecting pipe depth, collecting pipe pore depth, collecting pipe pore size, air inflow It is preferred to include the maximum suction pressure, the extraction flow rate per suction unit pressure, the maximum extraction flow rate in one collection well, the radius of influence, the optimum collection constant, the total LFG extraction flow rate and the collection tube diameter.

And the design data of the collection well and the detection well is characterized by the calculation based on the energy conservation principle.

Hereinafter, the configuration and operation principle of the present invention will be described in detail with reference to the accompanying drawings. In the present invention, LFG generation amount, generation rate and composition are determined by setting predetermined parameters as input variables by software developed based on the method for collecting and refining methane gas in a landfill according to the present invention. Based on the design variables of the landfill facility, the collection wells, the design specifications of the collection pipe, the proper collection constants, and the blower power are calculated. This is obtained through a forced convective landfill gas recovery facility. In addition, it provides economic evaluation data on power generation process by gas turbine, utilization as city gas, power generation process using Reciprocating engine, and power generation process using steam turbine.

Many theoretical equations are used to design the capture well and the detection well, but the Auger equation is used in the present invention. This is because the application of this formula eliminates the need for drilling fluids and minimizes disturbance of the lipid layer.

Figure 1 shows a flow chart of the methane gas collection and purification method of the landfill according to the present invention. The method of the present invention allows prediction of landfill gas generation rate and generation rate and gas composition by year through a model formula developed by the applicant of the present invention based on the input portion and input data for inputting landfill-related data. The information obtained here will help in the next step to obtain design data for the LFG recovery and refinery and to evaluate the economics for capture, purification and use.

2 is a diagram illustrating an example of a menu part of the software developed according to FIG. 1. Referring to Figure 2, the menu structure of the method includes 1) a part for inputting landfill data, 2) a part for gas generation, speed, cumulative amount and composition, 3) a part of design data for recovery and refining facility, 4) collection, recovery, It consists of the economic evaluation part of economic facilities.

FIG. 3 shows an exemplary configuration of a buried data input unit of the software of FIG. 2. Landfill data input part is composed of general status part, Samsung analysis part, flammable element analysis part, model type selection part and flammable part analysis part. Some of these are required and some are not required. For example, flammable element analysis data sets are not mandatory.

General status includes landfill tonnage (ton), landfill period (year), landfill depth (m), landfill area (㎡), waste density (ton / ㎥), landfill site temperature (℃), atmospheric pressure (mbar), start of landfill Let (year) be the app force variable. The landfill tonnage, landfill period, waste density, and landfill start year are mandatory fields.

The Samsung Analytical Data Department takes combustible components, ash and moisture as inputs. Combustible components are required.

The flammable elemental analysis data section includes carbon, hydrogen, oxygen, nitrogen, and sulfur as inputs. In particular, if the landfill has its own data, it can be entered and used, or if not, Nanjido, Busan Stone University or other US data can be used.

In the model selection section, several standard models are inputted, and the desired model expression is selected from among them. Models include: Multi-phase model, Modified MP model (M-MP model), Applied MP model (APP MP model), and Big trust model (Big trust model) model). The big trust model here is a model formula created by the applicant.

The flammable component analysis data section includes rapid decomposition, slow decomposition, and difficult decomposition as input. In other words, the flammable component analysis data section classifies waste components into rapid decomposition, slow decomposition, and hard decomposition substances, and inputs the composition. Then enter the half-life and the time it takes for the decomposition to reach 99/100.

When you have finished entering the above entries, click OK to check for errors. If there is an error as a result of error check, check only the relevant item, correct the input item and press OK again to proceed to the next step.

FIG. 4 shows an exemplary configuration of the gas generation amount, speed, accumulation amount, and composition of the software of FIG. 2. Here, the rate constants related to waste decomposition according to the selected model equation are output. That is, this step includes the LFG generation data table, LFG year total generation graph, LFG year generation rate graph, LFG generation cumulative graph and LFG composition evaluation items. The output is K1, K2 of rapid decomposition waste, slow decomposition waste and hard decomposition waste. Here, K1 and K2 represent the decomposition rate constants of the wastes applied before the half-life and the decomposition rate constants of the wastes applied after the half-life, respectively.

5 shows an example of output of LFG generation amount through the software of FIG. 4. In the exemplary embodiment of the present invention, as shown in FIG. 5, the expected generation period Yr and the available capture ratio (%) are inputted as a result. , Daily (㎥ / day), hourly (㎥ / hr) and fractionation (㎥ / min).

FIG. 6 shows an example of a graph showing the total amount of LFG generated per year through the software of FIG. 4. As shown in the drawing, you can see the graph of the total generation amount of LFG by year and copy the graph or data to the clipboard and load it through OLE in other programs.

FIG. 7 shows an exemplary diagram of generation rate change of the LFG through the software of FIG. 4. Here, you can see the change of LFG's generation rate by year, and copy the graph or data to the clipboard and load it through OLE in other programs.

FIG. 8 illustrates an example of output of an LFG accumulation amount and an available accumulation amount prediction graph through the software of FIG. 4. Here, you can predict the cumulative amount of LFG and the available accumulation amount for the selected period. You can copy the graph or data to the clipboard and load it through OLD in other program.

9 shows an example of the configuration of the LFG composition through the software of FIG. Here, the composition of LFG can be confirmed: mole fractions of carbon, hydrogen, oxygen, nitrogen and sulfur, stoichiometric coefficients and volumes of CH ₄ , CO ₂ , NH ₃ , H ₂ S.

FIG. 10 shows an example of the configuration of a recovery / purification facility design data detail display unit of the software shown in FIG. 2. Here, the diameter of the collection well, depth, diameter of the collection pipe, depth, operating depth, processing standard, maximum suction pressure without air inlet, extraction flow rate per suction unit pressure, turning radius, optimum collection constant, total LFG extraction flow rate and collection tube diameter Calculate and print out the details.

In other words, after selecting the sealed condition of the landfill and deciding how much pressure to send to the blower, the calculation button is pressed and the design data for the collection facility is output.

The data obtained here provide the information needed to analyze the economics of the capture, recovery and purification facilities in the next step.

FIG. 11 shows an example of economic evaluation of the LFG collection, recovery, and purification facility of the software of FIG. 2. In this step, input the unit prices of the materials required for the collection, collection, and refining facility, it is possible to calculate the cost for each collection, collection, and refining facility to evaluate the economics of the facilities.

FIG. 12 shows an example of LFG collection facility, collection facility, purification facility, and total facility cost evaluation of the software of FIG. 2. As shown, selecting an LFG capture facility, collection facility, refining facility, and entire facility will yield the specifications, quantities, and amounts of those facilities.

The present invention can be variously modified and can take various forms and only the specific embodiments thereof are described in the detailed description of the invention. It is to be understood, however, that the present invention is not limited to the specific forms mentioned in the detailed description of the invention, but rather includes all modifications, equivalents, and substitutions within the spirit and scope of the invention as defined by the appended claims. It should be understood to do.

By implementing the present invention, LFG can be used as an alternative energy source, thereby reducing energy costs and replacing fossil fuels, thereby reducing greenhouse gases, thereby contributing to the establishment of a framework for responding to environmental regulations such as the Climate Change Convention and solving environmental problems. Can be.

In addition, environmental pollution prevention and stability against odor generation, leachable water discharge, and explosion potential are increased, and landfill can be stabilized at an early stage, thereby maximizing land use efficiency of landfill.

In addition, through the collection and utilization of LFG, the occurrence of civil complaints can be minimized by improving the surrounding environment and supply of energy, and it can help the residents understand when installing new landfills.

In addition, it provides electricity and steam to neighboring residents, and provides farmhouses with direct benefits by utilizing greenhouse heating, such as hydroponic cultivation, and is expected to sell sales of emission rights (CDM business) for greenhouse gas reductions under the Kyoto Protocol. It is also possible to export technology and plants to Southeast Asian countries such as China, which are similar but underdeveloped.

Claims (14)

In the method of collecting, purifying and utilizing LFG of landfill, Storing in the memory means a plurality of standard model equations for calculating the amount and rate of LFG generation at the landfill; Selecting one of the stored model equations according to a landfill state of a target landfill; A user inputs data related to the target landfill, but the input data is required for landfill tonnage, landfill period, waste density, landfill start year, combustible component ratio, and decomposition analysis data for combustible components. Receiving data related to a landfill site from a user as a selection input for a buried depth, a landfill area, a landfill top temperature, an atmospheric pressure, a ratio of ash and moisture components, and combustible element analysis data; If the data related to the target landfill is completed from the user, performing an error checking whether there is no wrong part on the input data; If there is no error, the gas generation amount, generation rate, cumulative amount and composition are calculated using the designated model equation based on the input landfill-related data, and then the rate constant value related to waste decomposition, LFG generation amount by year / daily / hour, Displaying the total LFG generation amount graph by year, the LFG generation rate change graph by year, the cumulative and available accumulation amount of LFG within the selection period, and the LFG composition table by a user selectable menu method; Allowing a user to input a sealing condition of a landfill to be installed; Allowing a user to input an outlet pressure of a blower to be installed; Data for designing a facility for recovering and purifying the generated gas include: collecting well diameter, collecting well length, collecting pipe diameter, collecting pipe depth, collecting pipe pore depth, collecting pipe pore size, maximum suction pressure without air ingress, Data including extraction flow rate per suction unit pressure, maximum extraction flow rate in one collection well, radius of influence, optimal collection constant, total LFG extraction flow rate and collection tube diameter are based on the above landfill closure conditions and blower outlet pressure. Calculating based on the principle of energy conservation; Inputting a basic unit price of materials for the LFG collection facility to be installed; A user input of a basic unit price of materials for a forced convection LFG recovery facility to be installed; Inputting a basic unit price of materials for the LFG refinery to be installed; Calculating the specifications, the total required quantity, the unit price, the total amount, etc. for each of the required materials for the collection facility, the recovery facility, and the purification facility to be installed based on the calculated data and the input basic unit price; LFG collection and purification method of landfill. The method of claim 1, wherein the plurality of model equations are Multi-Phase (MP) model, Modified Multi-Phase (M-MP) model, characterized in that one of the APP MP model, landfill LFG collection and Purification method. The method according to claim 1, wherein the model formula includes a Big Trust model formula, wherein the Big Trust model formula divides municipal waste into rapid, slow and hard decomposition, and takes half-life and decomposition to reach 99/100. A method for collecting and refining LFG in a landfill, characterized in that the actual data of landfills and the amount of landfills according to the landfill period are corrected for each year. delete delete The flammable element of the flammable element analysis data of claim 1 includes carbon, hydrogen, oxygen, nitrogen, and sulfur, and if there is existing analysis data on a target landfill, the data is inputted, and the analyzed data. If there is no LFG collection and purification method of the landfill, characterized in that to input the data for another landfill knowing the analysis data. According to claim 1, wherein the step of obtaining decomposition analysis data for the combustible component Classifying the waste components into rapid decomposition, slow decomposition and refractory materials; And Obtaining and inputting a ratio for each of the classified substances; Inputting a degradation half-life for each of the classified materials; A method for collecting and purifying waste landfills, characterized in that it is obtained by entering a period of time for which the decomposition for each of the classified substances reaches 99/100. delete delete delete The method according to claim 1, wherein during the step of calculating the gas generation rate, generation rate, cumulative amount and composition by using a model equation based on the input landfill-related data, the rate constant values related to waste decomposition are divided into rapid decomposition, slow decomposition and hard decomposition materials. Method for collecting and purifying waste landfills, characterized in that the decomposition rate constant (K1) of the waste applied before the half-life for each waste component and the decomposition rate constant (K2) of the waste applied after the half-life. 12. The method of claim 11, wherein the calculation of the composition of the gas generation rate, generation rate, cumulative amount, and composition using the specified model equation based on the input landfill data is calculated by calculating the mole fraction of carbon, hydrogen, oxygen, nitrogen, and sulfur. , CH _4, CO _2, calculating the stoichiometric coefficient of the NH ₃ and H ₂ S, and CH _4, CO _2, NH ₃ and H _2, the landfill, characterized in that it comprises the step of calculating the volume of the S LFG Capture and Purification Methods. delete delete