643 RBCIAMB | v.56 | n.4 | Dec 2021 | 643-653 - ISSN 2176-9478 A B S T R A C T The final disposal of solid waste in landfills may result in the production of a clean and renewable energy through the exploitation of biogas generated in these locations. This study aims to estimate the methane production in a landfill, with a total population of 237,298 inhabitants, and a total generation of waste of 83,561.78 ton/year, in the last year of operation, located in the state of Minas Gerais and evaluate the economic feasibility of a biogas exploitation project in this place, for electrical energy generation. The methane production was estimated by the Intergovernmental Panel on Climate Change (IPCC) methodology, obtaining the maximum methane production value of 6,692,590 m³ in the last year of operation of the landfill. For economic feasibility analysis, the tools, such as net present value, discounted payback, and internal rate of return, were used with values of R$ 1,323,684.90 for 8 years, 4 months, and 12 days, and 9% per annum, respectively, demonstrating that the implementation of the project for the use of biogas at the landfill was viable, with positive economic return. Keywords: economic analysis; electrical energy; final disposal; methane gas; solid waste. R E S U M O A disposição final de resíduos sólidos em aterros sanitários pode resultar na produção de energia limpa e renovável por meio do aproveitamento do biogás gerado nesses locais. O objetivo deste estudo foi estimar a produção de metano em um aterro sanitário, com população total atendida de 237.298 habitantes, e uma geração total de resíduos de 83.561,78 t ano-1, no último ano de operação, localizado no estado de Minas Gerais e estudar a viabilidade econômica de um projeto de aproveitamento de biogás no local do aterro, para geração de energia elétrica. Para estimar a produção de metano utilizou-se a metodologia proposta pelo Painel Intergovernamental sobre Mudanças do Clima (IPCC, 1996), obtendo-se o valor máximo de produção de metano igual a 6.692.590 m3, no último ano de operação do aterro. Para análise de viabilidade econômica, utilizaram-se as ferramentas Valor Presente Líquido (VPL), payback descontado e Taxa Interna de Retorno (TIR), com valores encontrados de R$ 1.323.684,90, 8 anos, 4 meses e 12 dias, e 9% a.a., respectivamente, demonstrando que a implantação do projeto de aproveitamento de biogás no aterro foi viável, apresentando retorno econômico positivo. Palavras-chave: análise econômica; energia elétrica; disposição final; gás metano; resíduos sólidos. Energy potential and economic feasibility of biogas: case study of a landfill in Minas Gerais, Brazil Potencial energético e viabilidade econômica do biogás: estudo de caso de um aterro sanitário em Minas Gerais, Brasil Tatiane Leticia de Carvalho Souza1 , André Luiz Marques Rocha1 , Daniel Brianezi1 1Centro Federal de Educação Tecnológica de Minas Gerais – Belo Horizonte (MG), Brazil. Correspondence address: Tatiane Leticia de Carvalho Souza – Av. Amazonas, 5253 – Nova Suíça – CEP: 30421-169 – Belo Horizonte (MG), Brazil – E-mail: tatianecsouza14@gmail.com Conflicts of interest: The authors declare that there are no conflicts of interest. Funding: none. Received on: 09/30/2020. Accepted on: 07/13/2021 https://doi.org/10.5327/Z21769478935 Revista Brasileira de Ciências Ambientais Brazilian Journal of Environmental Sciences Revista Brasileira de Ciências Ambientais Brazilian Journal of Environmental Sciences ISSN 2176-9478 Volume 56, Number 1, March 2021 This is an open access article distributed under the terms of the Creative Commons license. http://orcid.org/0000-0002-9052-6692 http://orcid.org/0000-0002-2798-6768 http://orcid.org/0000-0002-3822-7599 mailto:tatianecsouza14@gmail.com https://doi.org/10.5327/Z21769478935 http://www.rbciamb.com.br http://abes-dn.org.br/ https://creativecommons.org/licenses/by/4.0/ Souza, T.L.C. et al. 644 RBCIAMB | v.56 | n.4 | Dec 2021 | 643-653 - ISSN 2176-9478 Introduction The increase in the urban population combined with changes in consumption habits caused an increase in the production of urban solid waste (ICLEI, 2009). These residues, when disposed inappropri- ately, result in public health and environmental problems, such as the proliferation of vectors and diseases and pollution of soil, water, and air (Figueiredo, 2011). Most of the solid waste collected in Brazil is destined for landfills. Between 2018 and 2019, about 59.5% of the to- tal solid waste collected went to landfills (ABRELPE, 2019), which are a form of environmentally appropriate final disposal provided by the National Solid Waste Policy (Brasil, 2010). However, there are some environmental problems related to this form of final disposal, among them is the emission of gases. According to the Ministry of the Environment (Brasil, 2019), the landfill can be considered a biological reactor in which one of the  main products generated are the gases that have mainly meth- ane and carbon dioxide in their composition, which are greenhouse gases, with methane having a potential of causing global warming 21 times greater than carbon dioxide (IPCC, 2013). Therefore, it is clear that biogas generated in landfills can be characterized as a global problem, thus highlighting the importance of using it as an alternative to avoid the emission of this gas and, in return, generate a source of clean energy, because it has a high energy potential and is a renewable, economically viable, and environmentally correct source of energy (Bianek et al., 2018). The Brazilian energy matrix places the country at an advantage in the generation of renewable energy, as it has one of the cleanest matri- ces in the world (Freitas and Makiya, 2012). Of the electricity produced in the country, 81.4% comes from renewable sources, while 22.8% of the energy comes from renewable sources and the rest from nonrenew- able sources globally. However, most of the renewable energy produced in Brazil comes from hydroelectric power stations (EPE, 2018b). As the Brazilian energy matrix is based on hydropower, the generation of new forms of electrical energy, such as that coming from biogas, is not en- couraged with the same intensity (Arcadis, 2010). According to Durão (2017), Brazil has the potential for generating electrical energy through the use of biogas in landfills, but this ener- gy potential is still very less explored, and the generation corresponds only to 1,22% of the total energy matrix in Brazil (ANEEL, 2020). Some examples of thermal power stations using biogas in land- fills in Brazil are: the Biogas Thermal Power Station at the Solid Waste Treatment Center on BR-040, in Belo Horizonte (MG); the Thermal Power Station at the landfill in Uberlândia, Uberlândia (MG); the ValorGás Thermal Power Station, Juiz de Fora (MG); the Bandeirantes Thermal Power Station, São Paulo (SP); the Biogas Thermal Power Sta- tion at the Sítio São João Landfill, São Paulo (SP); the Thermal Power Station of Guatapará, Guatapará (SP); the Termoverde Salvador Pow- er  Station, Salvador (BA); the Itajaí Biogás e Energia S.A. Thermal Power Station,  Canhanduba (SC); and the Recreio Biothermal Power Station, Minas do Leão (RS). These power stations were implemented between 2004 and 2015 in Brazil and have a total installed potential of 86.3 MW for generating electrical energy, most of which are present in landfills in the Southeast region of the country (Nascimento et al., 2019). In addition, it is worth mentioning Termoverde Caieiras, the largest thermal power plant powered by landfill biogas in Brazil, with an installed power of 29.5 MW (ANEEL, 2020). Thus, it is clear that there are few biogas projects in operation in the country, although there is potential for its use, and this is explained by the existence of some difficulties mainly related to the economic feasi- bility and operational problems of the system (Arcadis, 2010). Therefore, the technical and economic feasibility studies for the implementation of this energy source are important to promote its ex- pansion and the exploitation of this potential available in Brazil, con- sidering the importance of the energy use of biogas in landfills as an alternative for the reduction of greenhouse gas emissions and for the diversification of the Brazilian energy matrix. Thus, this study aimed to estimate the energy potential of biogas and the economic feasibility of its use for the production of electrical energy in a landfill that serves three municipalities located in the Met- ropolitan Mesoregion of Belo Horizonte, in the state of Minas Gerais. Literature review Quantification of landfill biogas The quantification of biogas generated in landfills can be done through mathematical models that use data about the landfill, such as precipitation, mass of waste deposited, characteristics of the site and waste, to conduct the theoretical estimate of methane produced (Bar- ros, 2012). Currently, the most commonly used methods are based on first-order decay equations. These models consider that the age of the waste has an influence on the production of biogas and that there is a decrease in production over the years, from a certain amount of waste disposed in the landfill (ABRELPE, 2013). Among the models that use first-order kinetics, we can mention the methodology proposed by the Intergovernmental Panel on Climate Change (IPCC, 1996), a methodology that is simple to apply to cal- culate methane emissions. In this method, the amount of degradable organic carbon (DOC) present in solid waste is estimated for specific regions, requiring statistical data on the population and urban solid waste (Vieira et al., 2015). Energy exploitation of biogas in landfills According to the Ministry of the Environment (Brasil, 2019), the energy exploitation of biogas aims to transform it into other forms of energy such as electric, steam, fuel for boilers or stoves, vehicle fuel, or for supplying gas pipelines. The energy potential of biogas is due to its high methane content, which makes it suitable for several applications in the field of energy generation (ICLEI, 2009). Energy potential and economic feasibility of biogas: case study of a landfill in Minas Gerais, Brazil 645 RBCIAMB | v.56 | n.4 | Dec 2021 | 643-653 - ISSN 2176-9478 In a landfill, this process occurs through the conversion of chemi- cal energy present in organic matter molecules into mechanical energy that activates a generator, thus producing electrical energy. Methane is the constituent of biogas used to fuel engines and generators for the production of electrical energy in landfills, reducing the negative im- pacts generated by its emission through complete combustion for en- ergy purposes (Landim and Azevedo, 2008). According to ICLEI (2009), the biogas extraction system has vertical and horizontal drains, blowers, filters responsible for re- moving particulate material, and condensate separating tanks; and for the generation of electrical energy, generator sets are used, such as microturbines and internal combustion engines, the latter being the most used in projects aimed at generating electrical energy from landfill biogas, due to the compatibility of power with the economic feasibility of the project (Barros, 2012), presenting higher electrical efficiency and lower cost when compared with other technologies (ICLEI, 2009). According to USEPA (2021), biogas is extracted from landfills using vertical wells, drilled into the residual mass, and connected to horizontal wells and a blower/flare system. The gas is then direct- ed, through this system, to a central point where it can be treated according to its final use, and can be burned or used in energy gen- eration projects. Economic feasibility of using biogas as electrical energy The implementation of electrical energy generation systems in landfills requires the execution of technical and economic feasi- bility studies, in order to verify the potential of biogas generation in the landfill, due to the amount of organic matter present in the waste, and to evaluate the electrical energy generation costs (Van Elk, 2007). There are some factors that indicate the possibility of a landfill being economically viable or not for the installation of biogas ener- gy exploitation projects. Among them, we can mention the popula- tion served of at least 200,000 inhabitants (Arcadis, 2010; Barros et al., 2014), receiving a minimum daily amount of waste of 200 tons and 500,000 total tons in its life span (Johannessen, 1999). According to Costa (2016), the implementation of inter-munici- pal consortia makes the implementation of biogas energy exploitation projects viable, since municipalities that meet small demands of in- habitants generate a small amount of energy from biogas, which can make the project hardly viable. The consortia enable the installation of projects of capture, burn, and energy exploitation of biogas for the production of electrical energy, because the greater the volume of or- ganic waste deposited in a single landfill, the greater the generation of methane gas (Arcadis, 2010). Therefore, the formation of consortia is an initiative that should be encouraged and has proven to be efficient, especially for municipalities with populations of less than 100,000 in- habitants (Arcadis, 2010). Methodology Description of the study site The landfill where the study of biogas production and the analysis of the economic feasibility of its use for the production of electrical en- ergy was conducted, is located in the state of Minas Gerais and serves three small- and medium-sized municipalities that dispose their waste to the site through the formation of a consortium. For reasons of confi- dentiality, the name of the landfill, as well as the municipalities served by it, were omitted. We chose to name them as municipalities A, B, and C. However, the data used are true. Table 1 presents socioeconomic data for municipalities A, B, and C. The landfill started its operation in August 2014, with a population served, till this year, equals 200,045 inhabitants. The site has a disposal area equal to 14.8 ha and has an expected life span of 15 years. Figure 1 summarizes the methodological steps used to conduct the calculations in this study. Step 1: Estimation of the population and generation of solid waste in the municipalities served by the landfill We used the arithmetic growth methodology to estimate the popu- lation projection for all municipalities served by the landfill. This mod- el assumes population growth at a constant rate equal to the growth rate of the last 2 years for which we have data, and is represented by Equations 1 and 2 (Qasim, 1985). P(t) = P0 + Ka(t − t0), Ka = P1 − P0 t1 − t0 , Qx = K. Rx. L0.e−k(X−T), L0 = MCF. DOC. DOCf. F. 16 12, DOC = (0.40. A) + (0.17. B) + (0.15. C) + (0.30. D), DOCf = 0.014. T + 0.28, Px = Qx. E. Ec. PcCH4 . 1 31,536,000 . 1 1,000, E = Px. t, NPV = ∑ CFt (1 + MARR)t n t=1 − CF (1) P(t) = P0 + Ka(t − t0), Ka = P1 − P0 t1 − t0 , Qx = K. Rx. L0.e−k(X−T), L0 = MCF. DOC. DOCf. F. 16 12, DOC = (0.40. A) + (0.17. B) + (0.15. C) + (0.30. D), DOCf = 0.014. T + 0.28, Px = Qx. E. Ec. PcCH4 . 1 31,536,000 . 1 1,000, E = Px. t, NPV = ∑ CFt (1 + MARR)t n t=1 − CF (2) Where: P(t) = the estimated population in year t (inhab.); Ka = the coefficient; t0 and t1 = years of the last demographic censuses; P1 and P0 = populations in years t1 and t0 (inhab.). We used the population data from the last two censuses conducted by the Brazilian Institute of Geography and Statistics, corresponding to the years 2000 (IBGE, 2000) and 2010 (IBGE, 2010), referring to the urban population. Table 1 – Socioeconomic data for municipalities A, B, and C. Population (year 2000) Population (year 2010) GDP per capita HDI A 39,458 47,236 R$ 31,529.18 0.753 B 99,515 111,266 R$ 16,555.58 0.761 C 26,303 31,609 R$ 104,169.26 0.764 Source: IBGE (2000, 2010, 2018) and PNUD (2010). Souza, T.L.C. et al. 646 RBCIAMB | v.56 | n.4 | Dec 2021 | 643-653 - ISSN 2176-9478 Once the populations for the municipalities were calculated up to the year the landfill was closed, it was possible to calculate the genera- tion of solid waste disposed each year. For this, we used data on the per capita generation of urban solid waste collected in the state of Minas Gerais, a value equal to 0.831 kg/inhabitant.d (ABRELPE, 2014). We considered, as proposed by Barros (2012), an increase of 1% over the per capita rate per year, a percentage that considers the trend of increased consumption, and consequently, the generation of solid waste by the population over the years. Thus, multiplying the total population, referring to the sum of the three municipalities, by the per capita production for that year and by the number of days in the year, we obtained the annual production of solid waste disposed in the landfill. Step 2: Estimation of the methane gas production in the landfill We used the method suggested by the IPCC (1996) to estimate the potential for methane gas generation, which is a model that theoreti- cally projects the volume of methane to be generated in a given time. We calculated the methane emission in the landfill from Equation 3. P(t) = P0 + Ka(t − t0), Ka = P1 − P0 t1 − t0 , Qx = K. Rx. L0.e−k(X−T), L0 = MCF. DOC. DOCf. F. 16 12, DOC = (0.40. A) + (0.17. B) + (0.15. C) + (0.30. D), DOCf = 0.014. T + 0.28, Px = Qx. E. Ec. PcCH4 . 1 31,536,000 . 1 1,000, E = Px. t, NPV = ∑ CFt (1 + MARR)t n t=1 − CF (3) Where: Qx = the methane emission (m 3/year); K = the decay constant; Rx = R(t) = the waste stream of the year (t); L0 = the waste methane generation potential (m 3/ton); X = the current year; T = the year of disposal of waste in the landfill (start of operation). The IPCC equation, mentioned above, is applied by the Environ- mental Company of the State of São Paulo (CETESB, 2006) in the Biogás, generation and energy use—landfills® software and was used to obtain the methane generation curve. It is necessary to know the methane gas generation potential (L0) to estimate the methane emission. This parameter depends on the com- position of the waste, especially its organic portion, and its value is estimated from the carbon content of the waste and its biodegradable fraction and a factor for the stoichiometric conversion of CO2 into CH4 (IPCC, 2006). We made the calculation using the equation proposed by IPCC (2006), represented by Equation 4. P(t) = P0 + Ka(t − t0), Ka = P1 − P0 t1 − t0 , Qx = K. Rx. L0.e−k(X−T), L0 = MCF. DOC. DOCf. F. 16 12, DOC = (0.40. A) + (0.17. B) + (0.15. C) + (0.30. D), DOCf = 0.014. T + 0.28, Px = Qx. E. Ec. PcCH4 . 1 31,536,000 . 1 1,000, E = Px. t, NPV = ∑ CFt (1 + MARR)t n t=1 − CF (4) Where: L0 = the waste methane generation potential (m 3/ton); MCF = the methane correction factor; DOC = the degradable organic carbon; DOCf = the dissociated DOC fraction; F = the fraction of methane present in biogas in volume; (16/12) = the carbon to methane conversion factor. The variable amount of DOC becomes important to know in order make the calculations regarding the methane generation po- tential. It represents the organic carbon from waste that is available for biochemical decomposition. Its calculation can be made from Equation 5. P(t) = P0 + Ka(t − t0), Ka = P1 − P0 t1 − t0 , Qx = K. Rx. L0.e−k(X−T), L0 = MCF. DOC. DOCf. F. 16 12, DOC = (0.40. A) + (0.17. B) + (0.15. C) + (0.30. D), DOCf = 0.014. T + 0.28, Px = Qx. E. Ec. PcCH4 . 1 31,536,000 . 1 1,000, E = Px. t, NPV = ∑ CFt (1 + MARR)t n t=1 − CF (5) Where: A = the fraction of paper, cardboard and textile of waste; B = the fraction of parks’ and gardens’ debris of waste; C = the fraction of food waste; D = the fraction of wood waste. The IPCC (1996) suggests, in the case where there is no data re- ferring to the gravimetric composition of the waste from the studied landfill, the DOC value equal to 0.12 to be used for Brazil. According to Bingemer and Crutzen (1987), the dissociated DOC fraction can be obtained by Equation 6. DOCf corresponds to the frac- tion of DOC that can decompose in an anaerobic way. P(t) = P0 + Ka(t − t0), Ka = P1 − P0 t1 − t0 , Qx = K. Rx. L0.e−k(X−T), L0 = MCF. DOC. DOCf. F. 16 12, DOC = (0.40. A) + (0.17. B) + (0.15. C) + (0.30. D), DOCf = 0.014. T + 0.28, Px = Qx. E. Ec. PcCH4 . 1 31,536,000 . 1 1,000, E = Px. t, NPV = ∑ CFt (1 + MARR)t n t=1 − CF (6) Where: DOCf = the dissociated DOC fraction; T = the temperature in the anaerobic zone (°C). Source: Own elaboration (2021). Figure 1 – Flowchart of the calculation methodology used. Energy potential and economic feasibility of biogas: case study of a landfill in Minas Gerais, Brazil 647 RBCIAMB | v.56 | n.4 | Dec 2021 | 643-653 - ISSN 2176-9478 The value for the MCF, necessary for the calculation of L0, is related to the conditions of solid waste disposal, the operation control, and the site management. The value of this parameter was adopted according to the default values proposed by IPCC (2006), which are presented in Table 2. In addition to parameter L0, the decay constant k is also important. This constant is related to the time required for a portion of DOC pres- ent in the waste to decay to half of its initial mass. The constant k was adopted as proposed by IPCC (2006). Thus, from L0, the decay constant k and the waste stream in the year, we used Equation 3 to estimate the amount of methane emitted per year in the landfill. Step 3: Calculation of the power and energy available in the landfill The calculation of available power was made from Equation 7, modified from CETESB (2006) by Barros (2012). P(t) = P0 + Ka(t − t0), Ka = P1 − P0 t1 − t0 , Qx = K. Rx. L0.e−k(X−T), L0 = MCF. DOC. DOCf. F. 16 12, DOC = (0.40. A) + (0.17. B) + (0.15. C) + (0.30. D), DOCf = 0.014. T + 0.28, Px = Qx. E. Ec. PcCH4 . 1 31,536,000 . 1 1,000, E = Px. t, NPV = ∑ CFt (1 + MARR)t n t=1 − CF (7) Where: Px = the available power each year (kW); Qx = the methane flow each year (m 3/year); PcCH4 = the methane calorific value (J/m 3); Ec = the biogas collection efficiency (%); E = the engine efficiency (%); 31,536,000 = the number of seconds in a year; 1/1,000 = for unit transformation from J/s to kW. Equation 8 was used to calculate the available energy (CETESB, 2006). P(t) = P0 + Ka(t − t0), Ka = P1 − P0 t1 − t0 , Qx = K. Rx. L0.e−k(X−T), L0 = MCF. DOC. DOCf. F. 16 12, DOC = (0.40. A) + (0.17. B) + (0.15. C) + (0.30. D), DOCf = 0.014. T + 0.28, Px = Qx. E. Ec. PcCH4 . 1 31,536,000 . 1 1,000, E = Px. t, NPV = ∑ CFt (1 + MARR)t n t=1 − CF (8) Where: E = the available energy (kWh/year); Px = the available power (kW); t = the engine operating time (h/year). Step 4: Evaluating the economic feasibility of the project We conducted an analysis based on the composition of the cash flow, which includes the project costs, considering the initial investment and expenses with operation and maintenance and the revenue obtained from the sale of electrical energy, in order to evaluate the economic feasibility of the project. We considered the investment costs with the collection system, treatment and purification system, compression, biogas burning, and elec- trical energy generation, being necessary to know the number of drains and the length of the collection pipe, calculated according to CETESB (2006). From the composition of the cash flow, we used the net present value (NPV), internal rate of return (IRR), and discounted payback tools to conduct the economic evaluation of the project. These meth- ods, especially IRR and NPV, are the best known and mostly used in investment analysis (Samanez, 2002). NPV is a technique that explicitly considers the time value of mon- ey and was calculated according to Equation 9, modified from Gitman (2010). This method is used with the objective of verifying whether the project will present a greater value to the investor than the cost spent by him (Samanez, 2002). P(t) = P0 + Ka(t − t0), Ka = P1 − P0 t1 − t0 , Qx = K. Rx. L0.e−k(X−T), L0 = MCF. DOC. DOCf. F. 16 12, DOC = (0.40. A) + (0.17. B) + (0.15. C) + (0.30. D), DOCf = 0.014. T + 0.28, Px = Qx. E. Ec. PcCH4 . 1 31,536,000 . 1 1,000, E = Px. t, NPV = ∑ CFt (1 + MARR)t n t=1 − CF (9) Where: NPV = the net present value; n = the discount time of the last cash flow; t = the discount time for each cash entry; MARR = the minimum attractive rate of return; CFt = the present value of cash flow; CF0 = the initial investment. The results obtained from the calculation of the NPV were ana- lyzed as follows: if NPV > 0, the project must be accepted; and if NPV < 0, the project must be rejected (Gitman, 2010). In addition, the IRR was calculated, which is a rate that represents the annual return that the company will obtain if it decides to invest in the project (Gitman, 2010). The IRR is calculated by equating the NPV (Equation 9) to 0. We used the multi-index methodology, which consists of a com- parison between the IRR and the MARR (Motta and Calôba, 2002). The MARR is an interest rate that represents the minimum that an in- vestor intends to earn when making an investment and, therefore, is unique for each investor and there is no formula to calculate it, as it can vary over time (Casarotto Filho and Kopittke, 1994). The comparison between the two rates can be made according to Table 3. Table 2 – Classification of solid waste disposal sites and MCF. Type MCF Managed—anaerobic 1 Managed—semi-aerobic 0.5 Unmanaged—deep (> 5 m of waste) and/or high water table 0.8 Unmanaged—shallow (< 5 m of waste) 0.4 Uncategorized 0.6 Source: translated from IPCC (2006). Table 3 – Comparison between IRR and MARR. IRR > MARR Investment is viable IRR < MARR Investment is not viable IRR = MARR It is indifferent to invest Source: Motta and Calôba (2002). Souza, T.L.C. et al. 648 RBCIAMB | v.56 | n.4 | Dec 2021 | 643-653 - ISSN 2176-9478 We also calculated the discounted payback, with the objective of veri- fying the time of return on the investment, being one more way to measure the economic feasibility of the project. This method is based on the time required for the present value of the company’s forecast cash flows to equal the value of the initial investment made (Samanez, 2002). We calculated the discounted payback from the present value of the discounted cash flow each year, calculating the balance until it became positive. Results and Discussion Step 1: Population estimate and solid waste generation in the municipalities served by the landfill Using population data from the 2000 and 2010 censuses and the arith- metic growth methodology, Equations 1 and 2, presented in step 1 of the methodology, was possible to calculate the projection for all municipalities served by the landfill for the years 2014–2029. Figure 2 shows the projec- tion for the total population served by the site, equal to the annual sum of the three municipalities, for each year of the landfill’s useful life. Some authors claim in their studies that the minimum population for a biogas project to be economically viable must be equal to 200,000 inhabitants (Arcadis, 2010; Barros et al., 2014), which is met by the pres- ent study, demonstrating the tendency to obtain positive results regard- ing the feasibility of implementing this technology in the studied landfill. We estimated the annual projection for solid waste disposal, and the total mass for each year, the daily disposal in each year, and the annual accumulation of solid waste are presented in Table 4. The amount of waste deposited in the landfill increases over the years, with the increase in population, demonstrating the proportion- ality relationship between these variables. Thus, the consortia are solu- tions both for the treatment and final disposal of waste and for the gain of scale, as they allow the service to be provided to a greater num- ber of municipalities. Therefore, the consortia collaborate with a better optimization of resources and minimization of environmental impacts. As for the population, there is a minimum amount of waste that the landfill must receive so that it is interesting to implement biogas ener- gy exploitation projects with a positive economic return. According to data provided in studies by Johannessen (1999), this amount equals 200 ton/day. Analyzing the amount of waste received each year, sep- arately, only from the year 2023, the landfill starts receiving the mini- mum amount of solid waste per day. On the other hand, the landfill will receive the amount of waste over 500,000 tons throughout its useful life, a value also established by the same author. The daily average of solid waste disposal in the landfill, considering the total value of waste received during its entire useful life, is equal to 196.47 ton/day, and the total accumulation of waste over the 15 years of the landfill’s operation is equal to 1,102,014.6 tons. We considered that all waste collected in the three municipalities is disposed in the landfill, not considering previous stages of treatment. This is due to the fact that the formation of the consortium took place, precisely, to allow the municipalities to have an environmentally ade- quate final destination, and, consequently, they did not have initiatives such as recycling either. However, it is noteworthy that over the years, other treatments can be adopted by the municipalities, which may lead to changes in the total amount of solid waste disposed at the site and, consequently, in the generation of methane gas. Step 2: Estimation of the production of methane gas in the landfill We made theoretical estimate of methane gas generation in the landfill. Therefore, it was necessary to know the potential for L 0 meth- Table 4 – Total amount of waste disposed in the landfill per year, per day, and annual accumulated. Year Daily waste amount (ton/day) Annual waste amount (ton/year) Accumulated (ton/year) 2014 166.24 15,293.84 15,293.84 2015 169.98 62,044.23 77,338.07 2016 173.79 63,433.10 140,771.17 2017 177.65 64,843.54 205,614.71 2018 181.58 66,275.84 271,890.55 2019 185.56 67,730.31 339,620.85 2020 189.61 69,207.24 408,828.09 2021 193.72 70,706.93 479,535.02 2022 197.89 72,229.70 551,764.71 2023 202.13 73,775.85 625,540.56 2024 206.43 75,345.70 700,886.26 2025 210.79 76,939.57 777,825.82 2026 215.23 78,557.78 856,383.61 2027 219.73 80,200.67 936,584.27 2028 224.3 81,868.55 1,018,452.82 2029 228.94 83,561.78 1,102,014.60 Source: Own elaboration (2021).Source: Own elaboration (2021). Figure 2 – Population projection for all municipalities served by the landfill. Energy potential and economic feasibility of biogas: case study of a landfill in Minas Gerais, Brazil 649 RBCIAMB | v.56 | n.4 | Dec 2021 | 643-653 - ISSN 2176-9478 ane generation and, consequently, the percentage of DOC and the frac- tion of dissociated DOC. As the data referring to the gravimetric composition of the landfill were not known, we adopted the DOC value equal to 0.12 (IPCC, 1996). Considering Equation 6, and assuming an anaerobic zone tem- perature of 35°C (Bingemer and Crutzen, 1987), we obtained the DOCf value equals 0.77. Finally, we calculated the value of L0 from Equation 4, considering the value of the MCF equal to 1, for anaerobic managed sites, proposed by the IPCC (2006), which is the commonly assigned value to landfills. The fraction of methane present in the biogas (F) was considered equal to 50%, also proposed by the IPCC (2006). To obtain L0 in the unit in which it is requested, it was necessary to divide the value found by the specific mass of methane, equal to 0.0007168 ton/m3 (ICLEI, 2009). Then, we established the value of the decay constant (k). Consid- ering that the average annual precipitation for the municipality where the landfill is located, with historical data of 30 years, is 1,436 mm/ year (Climatempo, 2019) and adopting the values proposed by IPCC (2006), for wet waste, for places with precipitation greater than 1,000 mm/year, tropical climate, with average temperatures greater than 20°C and the type of municipal solid waste as a whole, the value of k used for calculations was equal to 0.170 per year. Table 5 presents the input data of the Biogás, generation and ener- gy use—landfills® software (CETESB, 2006). Applying all the data obtained prior to Equation 3 through the Bio- gas, generation, and energy use—landfills® software (CETESB, 2006), we obtained the methane flow values presented in Figure 3. In Figure 3, we observed that the production of methane increas- es over time, as solid waste is disposed in landfill and decays after its closure, reaching its maximum value in the year of closure of receiving waste with value of 6,692,590 m3 of methane generated. Since then, there is a decrease in methane generation, which is mainly due to the cessation of waste accumulation at the site. Considering the minimum amount of daily waste that must be disposed in the landfill in order to obtain a viable project for the ex- ploitation of biogas equal to 200 tons (Johannessen, 1999), adopting the same characteristics of the studied landfill, with values of L0 equal to 85.94 m3/ton and k = 0.170 per year and applying Equation 3, we can say that the minimum methane flow for the project to exploit biogas for commercialization to be economically viable is equal to 1,066.515 m3/ year. As shown in Figure 3, it is noteworthy that this value is met from 2015 to 2039 and, therefore, we believe that the implementation of a project within this time interval can bring positive economic return for the landfill. It is noteworthy that not all biogas produced in the landfill will be captured and used. When landfills have well-designed, constructed, and operated collection systems, the collection of biogas can be ≥ 75% (World Bank, 2004; CETESB, 2006). However, considering that there may, for example, be possible operational problems and losses with fu- gitive emissions and oxidation by the cover layer (Silva et  al., 2013), and to bring greater financial reliability to the project, we adopted in this study a value of 65% of efficiency in capturing biogas. Step 3: Calculation of the power and energy available in the landfill We used Equation 7 to estimate the available power, adopting the values of 65% of biogas collection efficiency, methane calorific value equal to 35.53 × 106 J/m3 (CETESB, 2006), efficiency of internal com- bustion engine equal to 33% (World Bank, 2004), and methane flow each year according to Figure 3. Then, we calculated the available energy from Equation 8, using the data obtained for the powers each year and considering that the op- eration will take place 24 h/day for 365 days. Figure 4 demonstrates the behavior of the power and energy curve over the years of the estimate. We observed that both power and available energy increased over the years of landfill’s operation, reaching maximum values of 1,617.37 kW and 14,168,185.14 kWh, respectively, in the same year in which the peak of biogas generation occurs. The average power and energy found, according to the estimate, were equal to 796.89 kW and 6,980,713.18 kWh, respectively. Table 5 – Input parameters of biogas, generation, and energy use— landfills software. Parameter Input Opening year of the landfill 2014 Closure year of the landfill 2029 k (per year) 0.170 L0 (m 3/ton) 85.94 Concentration of CH4 in biogas (%) 50 Mass of waste disposed per year (ton/year) Table 3 Source: Own elaboration (2021). Source: Own elaboration (2021). Figure 3 – Methane generation curve in the landfill. Souza, T.L.C. et al. 650 RBCIAMB | v.56 | n.4 | Dec 2021 | 643-653 - ISSN 2176-9478 Considering that all the power produced annually in the landfill is used to generate electrical energy and knowing that the mean con- sumption per residence in Brazil is approximately 123.6 kWh/month (EPE, 2018a), we can say that the energy generated by the studied land- fill, in the year with the highest peak, would be able to supply approxi- mately 9,550 residences. With this, we perceived the existing potential in the place for the generation of electrical energy through the methane produced from the solid waste disposed in the landfill. As observed in Figure 4, the power produced varies over the years in the landfill, but not all the power produced will be used, as an ini- tial investment must be made in which the power station is sized for a constant biogas flow, or with a known range. So, it becomes neces- sary to choose a power for the implementation of the station, as well as the number of generator sets. The choice of the power to be installed, which generates a maximum benefit, is still not much discussed in the current literature when referring to energy exploitation of biogas and, in most cases, it is done arbitrarily, without a defined methodology (Santos, 2015). In the present work, we proposed the use of a single generator set with fixed power of 1,200 kW, capable of operating for 9 years, meet- ing the power demand from the year 2022 to 2030. The choice of the proposed power can be justified by the existence of motor-generator groups in the market powered by biogas with power compatible with this generation, and the higher percentage of use of the methane gen- erated when compared with other powers for the same period, equal to 71.94%, with the best cost–benefit ratio. The acquisition of a new generator set for the years after 2030, to meet the power of the period, was not considered, as, in line with what is described by ABRELPE (2013), as the methane flow tends to decrease after 2029, and, consequently, present a decreasing potential for using the biogas generated, acquiring a new generator set would greatly increase the costs for an exploitation that would be declining and no longer profitable. The exploitation of biogas generated using 1.2 MW power for the period from 2022 to 2030 comprises 71.94% of the total methane pro- duced. The energy equivalent to this power, calculated through Equa- tion 8, is equal to 10,512 MWh per project year and the corresponding flow, calculated from Equation 7, is equal to 368.45 m3/h. Step 4: Evaluating the economic feasibility of the project Applying the methodology proposed by the manual presented by CETESB (2006), we obtained the values for the sizing and exploitation of biogas system components, as shown in Table 6. The project’s investment cost presented a final value equal to R$ 7,432,692.97. We adopted the values referring to the operation and maintenance costs of each of the systems in accordance with what is proposed by ICLEI (2009), which uses the value of 3% and 2% of the total investment value for expenses with the maintenance of the wells and expenses with the maintenance of the flare and extraction system, respectively. In addition, we adopted a value of 5% of the initial invest- ment for maintenance expenses for the electrical energy generator en- gine (Santos, 2015). Therefore, operating and maintenance costs, con- sidered fixed for all years, were R$ 743,269.30. Operator, management, and administration salary costs were not considered. Revenues accounted from the sale of biogas, for the calculated val- ue of 10,512 MWh per year, considering the energy sale tariff equal to R$ 187.9 per MWh, value obtained in the A-6 energy auction of the Brazilian Electricity Regulatory Agency for new projects of energy source from thermal to biomass (ANEEL, 2016), presented an annual value equal to R$ 1,975,204.80, which was considered fixed for all years of the project. It is important to highlight that the tariff with the sale of electrical energy was considered constant for all years of the project, but it varies according to the auctions conducted, and in this work, the value of the most recent auction developed by ANEEL in the year of 2019 is considered. Table 7 presents the results obtained in the economic feasibility analysis, which will be described. In order to conduct the investment analysis of the project, we compared the IRR to the Selic rate (Special Clearance and Escrow System), which is the most conservative opportunity cost in the Bra- zilian economy, defined by Bank of Brazil, representing the interest rate of the expected return of a low-risk investment fund in Brazil and, according to ABRELPE (2013), it is applicable for investments in biogas energy exploitation. The value of the most recent Selic rate, on the date of this study, referring to November 2019, is equal to 5% p.a. (BACEN, 2019b). This rate was also used to calculate the present value of the cash flow, to obtain the discounted payback and to apply Equation 9, which re- fers  to the NPV. For the calculating purposes of this study, the Selic rate was considered fixed, but it varies frequently and this fluctuation can directly influence the economic feasibility of the project, since very high values for this rate can make investment projects unfeasible.Source: Own elaboration (2021). Figure 4 – Power and energy available in the landfill. Energy potential and economic feasibility of biogas: case study of a landfill in Minas Gerais, Brazil 651 RBCIAMB | v.56 | n.4 | Dec 2021 | 643-653 - ISSN 2176-9478 Table 6 – Cost of the main components of the sizing system for the exploitation of biogas in landfills. Collection system Component Amount Cost* Total Drains 76 units R$ 2,199.04/unit R$ 167,127.04 Pipe 3,750 m R$ 549.76/m R$ 2,061,600.00 Treatment and purification system Component Amount Cost Total H2O coalescent filter 29,048.3 10 3 m3 R$ 0.02/m3 R$ 580,966.66 H2S/Siloxin 29,048.3 10 3 m3 R$ 0.02/m3 R$ 580,966.66 CO2 29,048.3 10 3 m3 R$ 0.02/m3 R$ 580,966.66 Compression Component Amount Cost Total Low compression 368.45 m3/h R$ 1,092.35 per m3/h R$ 402,472.69 Burner Component Amount Cost Total Flare 1 unit R$ 436,941.26/unit R$ 436,941.26 Electrical energy generation Component Amount Cost Total Motor-generator set 1,200 kW R$ 2,184.71/kW R$ 2,621,652.00 Grand total     R$ 7,432,692.97 *The values were corrected using the Central Bank of Brazil citizen calculator (BACEN, 2019a), from June 2016 (CETESB, 2006) to September 2019. Source: Own elaboration (2021). Source: Own elaboration (2021). Figure 5 – Project return on investment. We calculated the cash flow, for the 9 years of the project, con- sidering the revenues subtracted from the costs listed above, obtain- ing a value for the NPV, from the application of Equation 9, equal to R$ 1,323,684.90. Therefore, as NPV > 0, the project must be accepted, that is, it is viable to invest in it. The IRR presented a value equal to 9% p.a., therefore, considering the MARR equal to the Selic rate, 5% p.a., and applying the multi-index methodology, we can consider that the investment is viable, since the following relationship is true: IRR > MARR. We also calculated the discounted payback with the objective of knowing the time of return on the investment made. For this, it was necessary to calculate the discounted cash flow, bringing it to the present value, thus obtaining the balance each year until the value becomes positive. The time required for the investment in the project to be paid is equal to 8 years, 4 months, and 12 days, which cor- responds to the year of 2029. Figure 5 shows the year in which the balance becomes positive. It is important to emphasize that a simplified analysis of invest- ment, operation, and maintenance costs was conducted, considering only the main components of the biogas energy exploitation system for the purpose of producing electrical energy. In more in-depth studies, it should be considered other factors such as those cited by USEPA (2008), which include in the initial investment costs with en- gineering, legal, commercial, accounting, and other professional ser- vices, transport, and delivery of equipment and interconnection with the electrical network; and annual costs, which include, in addition Table 7 – Results obtained for IRR, NPV, and discounted payback. Parameter Result obtained IRR 9% p.a. > MARR (= 5% p.a.) NPV R$ 1,323,684.90 Discounted payback 8 years, 4 months and 12 days Source: Own elaboration (2021). Souza, T.L.C. et al. 652 RBCIAMB | v.56 | n.4 | Dec 2021 | 643-653 - ISSN 2176-9478 to those accounted for in this study, operational labor and security, management and administration, insurance, licenses, fees and pro- fessional services, for example. We suggest that in future studies all these and other factors that generate costs and revenues for the proj- ect should be analyzed. Therefore, for the purposes proposed for this study, considering the costs and revenues evaluated and related to the implementation of the project in the studied landfill, the economic return will be pos- itive and we suggest, then, that energy exploitation should be adopt- ed on site. However, it is noteworthy that more in-depth and detailed studies, with regard to the project’s costs and revenues, must be pre- pared in order to establish whether such additional values would make the project unfeasible. Conclusions The solid waste disposed each year in the landfill, according to the projection made, was able to provide enough biogas exploitation to generate electrical energy, in which, in the year with the highest peak of methane production, it can contribute to the consumption of approxi- mately 9,550 residences. The biogas utilization project, with a duration of 9 years and available power equal to 1,200 kW/year, proved to be viable according to the criteria used, even if not all the power available in the period has been used. The importance of using biogas in landfills is highlighted as an environmentally adequate alternative, which conciliates both the fi- nal destination provided by Brazilian legislation for solid waste, and the use of gas generated by the mass of waste to generate a source of clean energy, bringing the possibility of diversifying the Brazilian energy matrix, and avoiding the emission of gases that aggravate the greenhouse effect. The formation of consortia between small- and medium-sized mu- nicipalities is essential, as they collaborate with a better optimization of resources and minimization of environmental impacts. Studies like this one, which economically evaluates the implementation of biogas energy utilization projects in Brazilian landfills, are essential to demon- strate the economic and environmental benefits of adopting this prac- tice, contributing, for example, to meeting the sustainable development goals and for the Brazilian nationally determined contribution. Contribution of authors: Souza, T.L.C.: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Writing – original draft. Rocha, A.L.M.: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Writing – original draft. Brianezi, D.: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Writing – original draft. 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