Next Article in Journal
Depositional Heterogeneities and Brittleness of Mudstone Lithofacies in the Marcellus Subgroup, Appalachian Basin, New York, U.S.A.
Next Article in Special Issue
How Does Digitization Succeed in the Municipal Water Sector? The WaterExe4.0 Meta-Study Identifies Barriers as well as Success Factors, and Reveals Expectations for the Future
Previous Article in Journal
Experimental Study on the Mechanical Behavior and Failure Characteristics of Layered Coal at Medium Strain Rates
Previous Article in Special Issue
Modelling to Lower Energy Consumption in a Large WWTP in China While Optimising Nitrogen Removal
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Energetic Potential for Biological Methanation in Anaerobic Sewage Sludge Digesters in Austria

Institute for Water Quality and Resource Management, TU Wien, Karlsplatz 13/2261, 1040 Vienna, Austria
*
Author to whom correspondence should be addressed.
Energies 2021, 14(20), 6618; https://doi.org/10.3390/en14206618
Submission received: 16 September 2021 / Revised: 4 October 2021 / Accepted: 9 October 2021 / Published: 13 October 2021
(This article belongs to the Special Issue Contributions of WWTPs to the Clean Energy Transition)

Abstract

:
Biological methanation as a method of sector coupling between electric and gas grids is expected to be an integral part of the green energy change. Wastewater treatment plants (WWTPs) involving anaerobic digestion (AD) allow existing infrastructure to operate as energy conversion plants, to close carbon cycles and to generate long-term storable energy in the form of biomethane. Therefore, municipal raw sludge and additional organic residuals (co-substrates) are converted into biogas. Hydrogen is added to convert the carbon dioxide in the biogas into methane via biological methanation (BM). In this study, the energy amount that is convertible via BM in municipal digesters in Austria was calculated. The amount of energy, which can be transformed from electric surplus energy into biomethane, was assessed. Operational data from lab-scale digesters were combined with data from 28 Austrian full-scale wastewater treatment plants with AD. They represent 9.2 Mio population equivalents (PE), or 68% of Austria’s municipal AD capacity for WWTPs > 50,000 PE (in sum, 13.6 Mio PE). Energy flows for BM including water electrolysis and anaerobic digestion were created on a countrywide basis. It was found that 2.9–4.4% (220–327 GWh·y−1) of Austria’s yearly renewable electricity production (7470 GWh·y−1) can be transformed into biomethane via BM in municipal digesters.

1. Introduction

The share of fluctuating renewable energy sources, such as wind and photovoltaics, is increasing worldwide. In Austria, the number of wind turbines doubled within 7 years (from 2011 to 2018) from 662 to 1313, while the installed electrical power increased from 1099 to 3045 MW [1]. Especially in the eastern part of Austria, large numbers of wind turbines have been installed (Lower Austria 729 and Burgenland 429). To reach a fully renewable electricity supply, further systems are needed. With an increasing share of fluctuating renewable energy production, network stabilization and long-term energy storage are urgently needed.
Countrywide, 54 storage and pump storage hydropower plants with a total installed power of 8.8 GW and a storage capacity of 9.3 TWh (3 TWh in pump storage reservoirs) are in operation [2,3]. Resch et al. [4] reported that the storage capacity in hydropower plants in Austria is almost fully exploited, and this capacity is needed for medium-term energy storage from days up to weeks. The existing natural gas infrastructure could be utilized for long-term or seasonal storage ranging from weeks up to months.
Due to its location in central Europe, Austria is a transit land for natural gas. Approximately 49 × 109 m3 of natural gas is transported through the country per year. An energy amount of 551 TWh of natural gas was imported, 10 TWh was produced in Austria, 430 TWh was exported, 69 TWh was stored, 36 TWh was discharged from the storage and 91 TWh was given to end customers/consumed in the year 2020 [5]. From 10 TWh of natural gas produced in Austria, 0.152 TWh (1.5%) is derived from renewable biogas. To achieve the goals of Austria’s national energy strategy, biomethane production must increase dramatically from approximately 0.16% (152 GWh·y−1) of the natural gas demand in the year 2020 to 10% in the year 2030 [6].
Austria’s natural gas storage capacity with a volume of 7794 × 106 m3 (87.2 TWh) is the fourth largest in Europe [7]. The countrywide gas demand of approximately one year is storable in this gas storage. The maximum storage rate is 2.7 × 106 m3·h−1 (30.6 GW), and the maximum discharge rate is 3.3 × 106 m3·h−1 (37.4 GW) [8]. For dimension conversion between energy content and natural gas volume, a factor of 11.19 kWh/m3 was applied according to e-control (2021) [5]. When comparing energy storage in pump storage plants and gas storage facilities, the different efficiencies in the conversion into electricity must be considered. While pump storage plants reach efficiencies between 70 and 85% for electricity storage and discharge, for the energy that is stored in gas storage facilities, a recovery efficiency between 35 and 40% for electrical usage and approximately 80% for electrical and thermal usage, e.g., in combined heat and power plants, must be considered.
Table 1 provides an overview of Austria’s countrywide energy storage capacities in hydropower plants and gas storage facilities.
In times of high renewable electricity production in Austria, a maximum of 3 GW can be exported to neighboring states via the high-voltage network [4], and 3.4–4.9 GW can be stored using pump storage plants [2,4]. The plan is to expand the electricity long-distance transport lines to 11 GW within the next few years.
Excess electricity production, which cannot be exported, during times of high production in the neighboring countries and due to limited transport capacities, can be used to produce hydrogen and long term-storable biomethane using biological methanation. Thus, a seasonal load shift of excess energy from summer to wintertime with high energy demand is feasible.
The centerpiece of the so-called Power-to-Gas (PtG) concept is the production of hydrogen and oxygen via water electrolysis (Equation (1)) using renewable surplus energy from wind turbines and photovoltaic systems. Schäfer et al. [9] reported that the produced oxygen can be used in other processes, such as aeration in the biological wastewater treatment or ozone production to remove organic trace substances via ozonation.
H2O → H2 + 0.5O2 (∆H0 = + 285.9 kJ·mol−1)
Fu et al. [10] noted that hydrogen gas is an attractive option to decarbonize the present energy system and to extend the usage of the existing gas infrastructure.
Due to the legal framework in Austria, direct injection of pure hydrogen into the natural gas grid is not possible, but the injection of methane gas containing up to 10% hydrogen has been allowed since June 2021. Due to technical reasons such as the low calorific value and hydrogen diffusion through pipelines, a direct injection also does not appear useful. Therefore, using hydrogen to upgrade CO2 contained in biogas to biomethane can be an attractive alternative.
To reach climate and energy goals determined in Austria’s national climate and energy strategy, hydropower pump storage plants should be used for grid stabilization and short-term storage in phases of excess electricity production. Technologies such as Power-to-Gas should be used for seasonal energy storage, by utilizing existing infrastructure, such as the natural gas grid and gas storage facilities [6].

2. Biogas Quality and State of the Art in Biogas Upgrading

2.1. Biogas Composition

The anaerobic digestion (AD) of sewage sludge is a proven and worldwide established technique with which to generate biogas for energetic use with an enormous potential worldwide [11]. Biogas and biomethane are believed to be building blocks for achieving climate and energy goals, as a replacement for natural gas for use in high-temperature processes and as a possibility for long-term energy storage. In general, the composition of biogas depends on the substrate used in anaerobic digestion and the mean oxidation state of the carbon in the substrate [12]. A typical composition of biogas from AD contains CH4 (53–70%), CO2 (30–47%), H2O (5–10%), N2 (0–3%), O2 (0–1%) and traces of H2S, NH3, hydrocarbons, total chlorine (HCl and CH3Cl explained as Cl) and siloxanes (0–10,000 ppm, 0–100 ppm, 0–200 mg·m−3, 0–5 mg·m−3 and 0–40 mg·m−3) [13,14]. Biogas from AD can contain traces of H2; when the digestion process is disturbed, unbalanced, or co-substrates are digested, the percentage of H2 can rise to 3% [13].
Quality standards for biogas injection into the natural gas grid vary between different countries. Muñoz et al. [15] report that in the Netherlands, injected biogas must contain 80% CH4. In most other European countries, stricter quality standards must be fulfilled. The costs for a biogas upgrade strongly depend on these quality standards.

2.2. Quality Standards for Biogas Grid-Injection in Austria

In Austria, the biogas that is injected into the natural gas grid must fulfill natural gas quality standards at the injection point, which are regulated by two guidelines. Guideline G31 regulates the natural gas quality [16], and Guideline G33 regulates the biogas injection into the gas grid [17]. In Table 2, typical biogas composition and quality standards for natural gas grid injection in Austria are compared.
Injected biogas must meet methane concentrations of >96% v/v (or >97% v/v if the rest are inflammable gas components) and a minimum calorific value of 10.7 kWh·m−3 at the point of injection [16]. To reach the required methane concentration value, biogas must be upgraded. To reach the required minimum calorific value and Wobbe Index, additional gas with a higher calorific value than methane must be added before grid injection. Often, ethane (Hi = 16.37 kWh·m−3) or propane (23.22 kWh·m−3), so-called mix-gases, are used to raise biogas’ lower energy content (9.17 kWh·m−3) to the minimum of 10.7 kWh·m−3 required for injection. In June 2021, a new guideline (Guideline G B210 regenerative gas—biogas) for biogas injection was validated. This guideline allows higher hydrogen concentrations of up to 10% H2 and lower methane concentrations in injected biogas, which will simplify the requirements for biogas production to promote biologically upgraded technologies, using added hydrogen [18]. Nevertheless, the calorific value and Wobbe Index will have to meet former requirements. Due to hydrogen’s low calorific value of 2.66 kWh·m−3, depending on the concentration in the upgraded biogas, consequently, more high caloric mix-gases will need to be added.
Further legal simplifications for biomethane grid injection are currently being discussed to reach the goal of Austria’s national energy strategy, which claims a share of 10% (approximately 800 Mio m3·y−1) of the biogas in the natural gas grid, by the year 2030. In addition to increased biogas production and upgrading, long-term storage in the natural gas network is also promoted [18].

2.3. State of the Art in Biogas Upgrading to Quality Standards Required for Grid Injection

Muñoz et al. [15] reported that there are different techniques for upgrading biogas to reach the required quality for injection into the natural gas grid. Two principles can be distinguished, which are compared in Figure 1: first, CO2 separation and removal, and second, CO2 conversion through methanation, by adding additional hydrogen to reach quality standards in natural gas grids.

2.3.1. Biogas Upgrading via CO2 Separation and Removal

The separation and removal of the CO2 contained in the biogas with thousands of applications worldwide is very common. Pressure swing adsorption (PSA), water scrubbing, chemical scrubbing and membrane separation techniques are used to remove the contained CO2 to reach methane concentrations >97%. By using cryogenic CO2 separation, other impurities such as H2O and H2S, can also be removed in a single step. Biological CO2 fixation using microalgae is also a possibility to remove CO2 from biogas, but it requires sunlight for biomass growth. During these biogas upgrade processes, the CO2 removed from the biogas is usually released into the atmosphere and lost for further reactions. Specific upgrading costs strongly depend on the upgrade capacity and the technology used and vary between 0.02 and 0.1 EUR·m−3 biomethane [15]. Additionally, 0.5–5% of the energy contained in the biogas is needed for the upgrade process. Furthermore, all the CO2 separation and removal processes come with a methane slip, which has to be considered in the carbon footprint.

2.3.2. Biogas Upgrading with CO2 Conversion through Methanation

The use of additional hydrogen (H2) for a conversion of the contained CO2 into CH4 via methanation (Equation (2)) offers the opportunity to close carbon cycles and to produce storable biomethane in one step. The Sabatier process is an approved thermo-chemical high-temperature–high-pressure method for CO2 conversion operated at 300–400 °C and 30 bar using nickel, ruthenium-alumina catalysts. With its high energy consumption and high-demand reaction conditions, it is only feasible on a large scale, for example, in petrochemical refineries.
An alternative method is a biological methanation using hydrogenotrophic archaea. Kim et al. [19] consider biological methane production as a more environmentally friendly method for carbon dioxide reduction than physical and chemical methods. To benefit from the CO2 content in the biogas, additional hydrogen is used to produce additional methane.
There are two common techniques for the biological methanation of carbon dioxide (CO2) to methane (CH4) providing externally produced hydrogen (H2) in situ and ex situ. During in situ methanation, the biogas reactor (digester) is used for BM, while during ex situ methanation, an additional methanation reactor is operated. BM is used to upgrade biogas to biomethane or synthetic natural gas (SNG) and to reduce CO2 emissions [15]. Schäfer [20] supposed that as part of a green energy transition and to increase the share of flexibly produced renewable energy, a transformation of the energy system is necessary. WWTPs, including anaerobic digesters and gas infrastructure, can serve as a building block for the green energy transition. Existing digesters can be operated as in situ methanation reactors to increase the methane content of the biogas by adding CO2- neutral produced hydrogen. Equation (2) shows the stoichiometric equation of the methanation reaction.
4 H2 + CO2 → CH4 + 2 H2O (∆G0 = −130.7 kJ·mol−1)
Different reactor types for BM, such as continuously stirred tank reactors (CSTRs) [21], bubble columns [19], up-flow anaerobic sludge blanket (UASB) reactors [22,23], packed bed columns, fixed bed reactors [24], trickle-bed reactors [25,26,27] and stirred tank reactors (STRs) with gas sparging via membranes [28,29], have been examined in recent years.
Based on biogas containing 65% CH4 and 35% CO2, biomethane with >96% CH4 (the rest being H2 and CO2) can be produced via both methanation principles. The calorific value is thereby increased by 50% from 6.5 to 9.6 kWh·m−3. Especially large WWTPs provide the framework necessary for BM. They offer trained and experienced employees, and safety and infrastructure equipment, such as explosion protection, robust electricity and gas–grid connections. Additionally, large quantities of CO2 are available in high concentrations, which can be transformed into methane.
Currently, the biogas produced in Austria is usually not upgraded due to the high effort and low market price and rather is burnt in combined heat and power plants (CHPs) for direct electricity and heat production. Currently, only two biogas upgrade plants are operated at Austrian WWTPs.

2.4. Biogas Production in Agricultural Biogas Plants and Sewage Sludge Digesters in Austria

Biogas production from organic waste, wastewater and energy crops is a worldwide established technique with an increasing amount of biogas and biogas plants each year. Data for the biogas production on a countrywide basis are available for the 14 member states of IEA Bioenergy Task 37 (Energy from Biogas). In Table 3, the total biogas production, the number of agricultural biogas plants and sewage sludge digesters and the share of biogas produced in ADs at WWTPs are displayed with data reported from the International Energy Agency (IEA 2020) [30]. Data for Norway were added from the IEA (2015) [31]. In total, 102,559 GWh·y1 of energy is generated as biogas, and 12,885 GWh·y−1 (13%) is the share of biogas generated from sewage sludge digestion.
For Austria, no detailed data about the number of sewage sludge digesters and their biogas production are available in this dataset. Additionally, no data for the total biogas and energy production from sewage sludge are available to calculate the share of the total biogas production. To overcome this lack of information, a detailed assessment was necessary to obtain the number of WWTPs using AD from different additional sources.

3. Materials and Methods

3.1. Survey on Anaerobic Sewage Sludge Digestion in Austria

In 2019, 136 WWTPs including AD with a design capacity > 20,000 PE and 58 with a design capacity > 50,000 PE were operating in Austria [32,33]. In 2020, Austria’s largest AD at the Vienna main WWTP (4 Mio PE design capacity) started its operation. Since then, countrywide, a total of 164 ADs with a capacity of approx. 15.1 Mio PE or 70% of the Austrian WWTP design capacity (total 21.49 Mio PE capacity) have been in operation to treat sewage sludge. The 59 WWTP > 50,000 PE-operating ADs (design capacity of 13.6 Mio PE) were identified as candidates for implementing BM in municipal digesters.
Before this study, no detailed data for Austria’s entire biogas production from sewage sludge digestion at WWTPs were available. Only the total number of agricultural and sewage sludge digestors and their total energy production were available (Table 3). To overcome this lack of data, a survey was conducted using an email questionnaire and telephone interviews at 30 Austrian WWTPs including AD. The survey data were returned and available for 28 of the 30 interviewed WWTPs. Thirteen questions were asked about the operational data, digester’s design details and infrastructure connection of the plants. The plant’s name and catchment area, design capacity based on chemical oxygen demand (COD), yearly average COD load, number of digesters in operation, digester volume, daily average gas production, raw sludge and co-substrate loads, co-substrate types and the existing gas infrastructure (connection to the natural gas grid) were evaluated. Informal additional information was also considered, e.g., the usage of flotation instead of conventional primary treatment.
By using representative survey data from 28 of the 137 WWTPs including AD, it was possible to calculate PE-specific biogas production rates and the total biogas production for all anaerobic sewage sludge digesters in Austria. These data were used to calculate the yearly energy production. Using the PE-specific digester volume, the maximum BM capacity for Austria was calculated. Efficiency factors for water electrolysis were obtained from the literature. Efficiency factors for biological methanation were obtained from the literature [34] and own lab-scale experiments [35]. Using these efficiency factors and the yearly produced CO2 load from biogas production, the producible amount of energy through BM was calculated. A sensitivity analysis was performed for the following three different scenarios: Scenario 1: all WWTPs > 50,000 PE (n1 = 59); Scenario 2: all WWTPs > 20,000 PE (n2 = 137); and Scenario 3: all WWTPs including AD in Austria (n3 = 164) are operating BM.
Additionally, 151 agricultural biogas plants with a total of 565 GWh·y−1 of electricity and 350 GWh·y−1 of heat production were operated in Austria in 2019 [36]. These agricultural biogas plants were not considered in the following calculations, because they are optimized to electricity production and most of them are located in rural areas without a gas grid connection in their surroundings.

3.2. Energy Flows for Electricity, and Bio- and Natural Gas, at a National Level

To create an energy flow diagram (SANKEY-diagram) at a national level for Austria for electricity, and natural and biogas, the Software STAN (substance flow analysis) [37] was used. Different sources were applied as input data. National statistical data about energy production and the transport of electricity, and natural and biogas [36,38,39], as well as international statistical data [30,31] for sectoral energy production, energy import and export, were combined.
As described above, three different scenarios were considered. For these three scenarios, transferable energy loads via BM were calculated using transformation efficiency from the literature and lab-scale tests. Efficiency for water electrolysis was set to ηEL = 0.9 according to Muñoz et al. [15]. According to the observed methane production in continuous lab-scale tests using in situ BM, the efficiency for biological methanation was set to ηBM = 0.7 (0.7 mol CH4 is produced, consuming 4 mol H2 according to Equation (2)).

3.3. Maximum Volume-Specific Biological Methanation Rate

To calculate the maximum volume-specific capacity of an AD, a volume-specific biological methanation rate (BMR) of 0.3 L CH4·L−1·d−1 was considered according to values from the literature for in situ BM in CSTRs. Luo and Angelidaki (2013b) [40] reported a specific BMR of 0.34–0.39 L CH4·L−1·d−1 and 96.1% CH4 at thermophilic conditions (55 °C), while Tauber et al. (2020) [35] reported a BMR of 0.29–0.43 L CH4·L−1·d−1 for in situ BM in a lab-scale sewage sludge digestor at mesophilic temperatures (38 °C) and a hydraulic retention time of 25 d. The maximum BM capacity (BMc) was calculated, using the BMR, the PE-specific digester volume (sVADvol) and the design capacity of the AD based on COD (PEdesign) (Equation (3)).
BMc = BMR · sVADvol · PEdesign [W]

4. Results

4.1. Survey Data

Survey data from 28 Austrian WWTPs including AD with a design capacity between 24,500 PE (based on COD120; 120 g COD·PE−1·d−1) and 4 Mio PE was evaluated (Table 4). Additional data for WWTP #28 was added from ebswien (2021) [40]. The yearly average inflow COD load varied between 1272 (10,600 PE) and 374,400 kg COD·d−1 (3,120,000 PE). This indicates relative COD inflow loads between 43 and 125% of the design capacity (70% on average). Most of the plants, especially >100,000 PE, are operated between 60 and 85% of their design capacity.
Two of the observed WWTPs were operated above their organic design capacities—WWTP #11, with a design capacity of 120,000 PE, an average load of 150,000 PE (125%), an organic loading from the municipal discharge of 85,000 PE and 65,000 PE from the milk industry, and WWTP #26, with 457,579 PE COD design capacity and 507,913 PE average daily inflow load (111%)—while the hydraulic utilization was 85%. It should be noted that all the observed WWTPs, including these two, reached the required effluent limits. In Figure 2, the COD design capacity, the COD inflow load and the relative COD load are shown for the 28 WWTPs participating in the survey.
The number of digesters operated per WWTP varies between one and six reactors, with an overall digester volume between 1300 and 75,000 m3 (Table 4). Five of the observed WWTPs operate one digester, 16 operate two digesters, five operate three digesters, one WWTP operates five digesters and one operates six digesters. The PE-specific digester volume varies between 21.62 and 70.00 L·PE−1 with an average of 39.11 L·PE−1 (Figure 3). At 11 of the 28 observed plants, in addition to primary and waste-activated sludge from biological wastewater treatment, between 5 and 47% of the COD-input load is added as co-substrates (10% on average).
In total, 11 of the 28 observed plants (40%) treated co-substrates, and the share of co-substrate ranged from 5 to 47% of the COD input of the AD (Figure 3). The PE-specific daily gas production varies between 12.7 and 29.0 L·PE−1·d−1 for plants without co-substrates and between 21.8 and 75.5 L·PE−1·d−1 for plants with co-substrate dosing. The average specific gas production was 22.0 L·PE−1·d−1 for plants without co-substrates and 40.7 L·PE−1·d−1 for plants including co-substrates. The average specific gas production for all the examined anaerobic sewage sludge digesters was 30.2 L·PE−1·d−1, which is within the range of values found in the literature. Lindtner (2008) [41] reported a PE-specific gas production without co-substrates of 15–24 L·PE−1·d−1; Haberkern et al. (2017) [42], 17 L·PE−1·d−1; and VSA (2010) [43] reported 25 L·PE−1·d−1 without and 31 L·PE−1·d−1 with co-substrates, which also matches the numbers calculated in this work.
AD #20 has the highest observed specific gas production without co-substrate dosing (29.01 L·PE−1·d−1). This can be explained by the high share of wastewater from the milk industry and the usage of flotation as primary wastewater treatment instead of conventional primary clarifiers. AD #28 is operated with an elevated dry substance concentration in the digester sludge of approx. 7 g·L−1, which leads to a relatively low specific AD volume of 18.75 L·PE−1.
Two of the examined WWTPs operate biomethane upgrading facilities—WWTP #22, a membrane upgrade plant with a 120 m3 CH4·h−1 capacity, and WWTP #27, a water scrubbing plant with a 450 m3 CH4·h−1 capacity.
To put these numbers into context, in Table 5, data about all the 164 operating Austrian sewage sludge digesters, sorted by the design capacity, are summarized (data from ÖWAV, 2019) [32]. The 59 largest plants (36%) with a design capacity > 50,000 PE have a share of 90% of the overall capacity. At the same time, the smallest 27 (16%) plants > 20,000 PE provide a share of 2% of the overall treatment capacity.
Considering a PE-specific gas production of 22 L·PE−1·d−1, a design capacity of 13.6 Mio PE and a utilization rate of 70%, this equals a biogas production of 76.45 Mio m3·y−1 (734 GWh·y−1) for Austria’s 59 WWTPs > 50,000 PE design capacity including AD. Note that seven WWTPs with a design capacity > 50,000 PE (in sum, 475,000 PE) in Austria have no AD.
For plants > 20,000 PE, 83.19 Mio m3·y−1 (799 GWh·y−1) of biogas and for all plants, 84.88 Mio m3·y−1 (815 GWh·y−1) of biogas can be produced per year.
In Table 6, the biogas production of Austria’s agricultural and sewage sludge biogas plants is displayed. In total, 315 biogas plants were operating in Austria in the year 2020, 164 of which are sewage sludge digesters.
With 44% of the total biogas production, biogas from sewage sludge digestion has a relatively large share in Austria (Table 6), compared to the mean share of 23% of all IEA bioenergy in the 14 countries displayed in Table 3.

4.2. Potential for Long-Term Energy Storage Using BM Considering Different Efficiencies

To calculate BM’s overall efficiency between electric input and biomethane output, a model sewage sludge AD with 100,000 PE capacity was used. Figure 4 shows the energy and mass flow chart for the model AD including electrolysis and in situ BM. This digester’s design capacity is 12,000 kg COD input per day. If 50% of the input COD is degraded (ηAD = 0.5), the gas production without BM is 3500 m3·d−1 (2100 m3·d−1 of CH4 and 1400 m3·d−1 of CO2). If the CO2 content in the biogas is reduced from 40 to 10%, and 1050 m3·d−1 of additional CH4 is produced via BM, the biogas composition is then 3150 m3·d−1 of CH4, 350 m3·d−1 of CO2 and 1800 m3·d−1 of H2. Therefore, 6000 m3·d−1 of H2 is needed. Taking into consideration that the efficiency of biological methanation is ηBM = 0.7 and the efficiency of the water electrolysis is ηel = 0.9, an amount of 23.63 MWh·d−1 (85 GJ·d−1) of electrical energy is needed. This results in a specific energy consumption of 22.5 kWhel·m−3 of CH4 produced from BM.
In addition to the hydrogen, 3000 m3·d−1 of oxygen is produced and can be used in the biological wastewater treatment, or for ozone production to operate a fourth treatment step for the removal of trace substances.
Excluding the oxygen production, the overall energy efficiency between electricity input and CH4 including water electrolysis and BM can be calculated to 31.5%. An additional 1050 m3·d−1 of CH4 is produced with an input of 23.63 MWh·d−1 of electricity (22.5 kWh·m−3 of CH4). Including oxygen production, the overall efficiency is increased to 76.5% when pure oxygen is efficiently used in the treatment process. For comparison, the efficiency of pump storage hydropower plants is 70–85%.

4.3. Extrapolation of the Efficiency of Biological Methanation Transforming Electricity into Biomethane

The efficient use of the provided hydrogen is important for the overall efficiency of the PtG concept. In Table 7, the biogas composition and produced gas volumes are compared for different hydrogen conversion factors and an AD without H2 addition. The daily gas production for all the main components and their shares for five different BM efficiencies, as well as a classic AD without BM for comparison, are displayed. At a BM efficiency of 93% (ηBM = 0.93), gas concentrations required for direct grid injection in Austria can be reached in one step. At lower efficiencies, an upgrade step must be connected downstream. ηBM is thereby defined as H2 used for CO2 conversion divided by H2 input to BM.
Austria’s 59 WWTPs with a design capacity > 50,000 PE produced 76.45 Mio m3·y−1 (855 GWh·y−1) of biogas in 2019. If the CO2 content of the biogas is reduced from 40 to 10% via BM (22.9 Mio m3·y−1), this leads to an additional energetic potential of 220 GWh·y−1 (792 TJ·y−1) due to BM for Austria (Scenario one). In comparison, this is in the same range as that of the biogas injected from agricultural biogas plants (152 GWh·y−1) in 2020 [5]. According to the calculations above, a total efficiency of 31.5% can be assumed for BM. To produce this additional 22.9 Mio m3·y−1 of CH4 via BM, 698 GWh·y−1 of electrical energy is needed.
For Scenario two (all WWTPs > 20,000 PE), an additional 25 Mio m3·y−1 of methane can be produced through BM, which equals 279 GWh·y−1.
For Scenario three (all WWTPs including AD), an additional 25.5 Mio m3·y−1 of methane can be produced, which equals 285 GWh·y−1. Therefore, 904 GWh·y−1 of electrical energy can be stored. As the transferable amount of energy depends on the available digester volume and the available CO2, BM should be implemented in the large plants first.

4.4. Maximum BM Capacity in Austria’s Sewage Sludge Digesters

Considering the BMR of 0.3 L CH4·L−1·d−1, the PE-specific AD volume of 40 L·PE−1 and the efficiency of 22.5 Wh·L−1 of CH4, a maximum PE-specific BM capacity based on electricity input (sBMc_el) can be calculated by dividing Equation (3) by the PE-specific AD volume, which results in 11.25 W·PE1.
sBM c _ el = 0.3 L   CH 4 L AD · d   · 40 L AD PE   · 22.5 Wh L   CH 4 = 270 Wh PE · d = 11.25 W PE
With this PE-specific electric input, approximately 8.8 L CH4·PE−1·d−1 can be additionally produced from CO2 via BM, based on the PE-specific biogas production of 22 L CH4·PE−1·d−1. Using a countrywide design capacity of 15.1 Mio PE, the BM capacity based on electricity input (BMc_el) for Austria can be calculated as follows:
BM c _ el = sBM c · design capacity = 11.25 W PE   · 15.1 Mio   PE = 169.9   MW
In this regard, approximately 170 MW electrical input out of the 177,000 m3 CH4·d−1 (64.5 Mio m3·y−1) of methane gas can be produced through in situ BM, which equals 625 GWh·y−1. This maximum capacity is limited by the BMR. The available AD reactor volume would allow an approximately three times higher energy throughput than the 220 GWh·y−1, which can be transformed into biomethane using all the CO2 contained in the biogas. Therefore, the maximum capacity of biological methanation is limited by the amount of CO2 available in the biogas. However, as shown in Figure 3 the volume-specific amount of biogas and, thus, of CO2 can be increased by up to three times, by dosing additional co-substrates.

4.5. SANKEY Diagram for Energy Flows through Austrian including BM at ADs

Energy flows and storage capacities for electricity and methane gas (natural gas and biomethane) for Austria are displayed in an energy flow diagram in Figure 5. All amounts of energy flows are displayed in GWh·y−1, energy stocks are displayed in GWh, respectively. The spatial balance boundary is Austria’s political limit, and the balance time is one year (2020).
The efficiency factor for electricity storage in pump storage hydropower plants was considered as 75%. The efficiency factor for the conversion of electricity to methane through biological methanation was considered as 31.5% (excluding the oxygen production), as shown above. For comparison, Sterner and Stadler [44] indicated an efficiency factor in the range of 49–79% for PtG via biological methanation, depending on the used storage type, pressure level and withdrawal technology. Thema et al. [45] analyzed 36 methanation projects worldwide and reported an efficiency factor of 41% on average. The analyzed methanation plants have an average capacity of 380 kWel, which is about half of the assumed electrical power needed for the BM at the model WWTP in Figure 4.
The calculated electric input into the PtG electrolysis was 698 GWh·y−1, which is approximately 23% of the electrical input into hydropower pump storage plants (3000 GWh·y−1). In total, 701 GWh·y−1 of biogas from sewage sludge is produced per year. If all WWTPs > 50,000 PE are utilized and all of the produced CO2 is converted into CH4, an additional 220 GWh·y−1 can be produced through BM. In total, 921 GWh·y−1 of biomethane is produced, which equals 1% of Austria’s natural gas consumption. A share of 16% (15,431 GWh·y−1) of Austria’s electricity production is fossil-based (mainly natural gas), and 26% (26,047 GWh·y−1) is imported electricity [46].
As Thema et al. [45] supposed, biological methanation is nowadays more expensive than chemical methanation using the Sabatier process, but costs are expected to drop by 75% to below EUR 500·kWel−1 for both methods in the next few years. It is also expected that methanation systems with a capacity of 50–250 m3·h−1 will be realized.
With the additional long-term storage capacity generated through BM, wind and PV systems do not have to be shut down, when long-distance electricity transportation and hydropower storage are fully occupied. At the same time, the existing infrastructure is used, and no new hydropower reservoirs have to be created, which is becoming more difficult for environmental reasons.

5. Summary

With an increasing share of fluctuating energy from renewable sources, the need for network stabilization and long-term storage technologies will increase. Power-to-Gas is an opportunity to transfer electricity to the gas grid. Large wastewater treatment plants with anaerobic sewage sludge digestion provide ideal conditions and existing infrastructure for Power-to-Gas through biological methanation.
To obtain the detailed data necessary for the calculation of the energetic potential of biological methanation in Austria, a survey was conducted. Data from 28 Austrian WWTPs showed that ADs at plants > 50,000 PE are operated at 70% of their COD design capacity on average. The PE-specific digester volume was 40 L·PE−1, while the PE-specific gas production was 22 L·PE−1·d−1 without co-substrate dosing and 30.5 L·PE−1·d−1 including co-substrates, which lies in the range of the values found in the literature.
By supplying hydrogen to the digester, the CO2 concentration in the biogas can be reduced by biological methanation and, thus, the gas quality that is required to feed into the gas network can be achieved. For Austria, this is now possible due to significant changes in the relevant guidelines, which now allow up to 10% hydrogen in the gas that is fed into the natural gas grid. In addition, compared to the thermochemical Sabatier process, biological methanation is a relatively simple method for producing biomethane, which can also be implemented in small units with a capacity of 50–250 m3·h−1 of biogas.
It was shown that the maximum amount of energy, convertible through methanation in sewage sludge digesters, is limited by the per time unit available quantity of CO2 produced in the digesters, which could be increased by increasing the biogas production by digesting co-substrates. Considering volume-specific methanation rates, the existing digester volume would allow an energy throughput that is approximately three times higher.
Anaerobic sewage sludge digesters with a total capacity of 15.1 Mio PE are currently in operation. This capacity allows the production of approximately 109 Mio m3·y−1 of biogas from municipal sludge (at 100% utilization, without co-substrates). By implementing BM at all of these WWTPs > 50,000 PE, a maximum of 32.7 Mio m3·y−1 of methane can be additionally produced and stored. The maximum potential to store electricity in methane gas was calculated to 698 GWh·y−1, which is 9.3% of Austria’s electricity from wind and PV facilities. At 70% utilization, the potential is 22.9 Mio m3·y−1 of methane, which equals 220 GWh·y−1 or 2.9% of Austria’s yearly green energy production. At the same time, the carbon dioxide emission would be reduced by 65,400 t CO2·y−1. Considering that CO2 from biological processes is climate neutral by definition, a positive carbon footprint could be reached.
Approximately 1% of Austria’s natural gas demand could be replaced by the additional biomethane from BM at anaerobic sewage sludge digesters. Considering that a large share of Austria’s electricity production is still fossil-based (16%), and 26% is imported electricity including fossil-based shares, there is still work to do to reach zero-emission targets for electricity production. Considering that the hydropower storage capacity is fully occupied, storing energy in the natural gas grid and its storing facilities is a practicable alternative, especially with a storage capacity of 87.2 TWh in Austria and widespread infrastructure, including a long-distance transporting network through Europe.
For the 14 counties in the IEA bioenergy task group 37 as shown in Table 3, the energetic potential of BM at municipal ADs is approximately 6000 GWh·y−1, which lies in the range of Austria’s yearly renewable electricity production.
Considering benefits such as oxygen production for the fourth treatment stage, the overall efficiency of PtG is 76.5%. This is comparable with efficiency factors for hydropower pump storage plants (70–85%). When long-distance electricity transport is fully occupied, alternatives for network stabilization, such as PtG, are the only solution, if installed renewable power plants such as windmills and PV are to be fully utilized. Biological methanation in anaerobic sewage sludge digestors is, therefore, a good opportunity.

Author Contributions

Conceptualization, J.T. and A.R.; methodology, J.T.; software, J.T and A.R.; validation, J.T., K.S. and J.K.; formal analysis, J.T.; investigation, J.T.; resources, J.K.; data curation, A.R.; writing—original draft preparation, J.T.; writing—review and editing, J.K.; visualization, J.T.; supervision, K.S.; project administration, J.T.; funding acquisition, J.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Federal Ministry Republic of Austria for Agriculture, Regions and Tourism, KPC Kommunalkredit Public Consulting, grant number B701315. The APC was funded by the TU Wien Bibliothek.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to they contain operating data and address data.

Acknowledgments

This study is part of the project BioMAra—biological methanation in digesters in municipal wastewater treatment plants. The project was funded by KPC—Kommunalkredit Austria Public Consulting and the Federal Ministry Republic of Austria for Agriculture, Regions and Tourism. We thank Zdravka Saracevic and Ernis Saracevic, for their great effort in the lab, all WWTPs for participating in the survey and “Abwasserverband Grossraum Bruck an der Leitha—Neusiedl am See” for providing raw and digester sludge for the lab-scale tests.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analysis, or interpretation of data; in writing of the manuscript, or in decision to publish the results.

References

  1. IG Windkraft. Windenergie in Österreich (Wind Energy in Austria). 2019. Available online: https://www.igwindkraft.at (accessed on 15 February 2021).
  2. Austria Forum. Liste Österreichischer Kraftwerke (List of Austrian Power Plants). 2020. Available online: https://austria-forum.org/af/AustriaWiki/Liste_%C3%B6sterreichischer_Kraftwerke (accessed on 17 July 2021).
  3. E-Control. Bestandsstatistik Kraftwerkpark (Inventory Statistics of the Power Plant Park). 2020. Available online: https://www.e-control.at/statistik/strom/bestandsstatistik (accessed on 17 July 2021).
  4. Resch, G.; Burgholzer, B.; Totschnig, G.; Lettner, G.; Auer, H.; Geipel, J.; Haas, R. Stromzukunft Österreich 2030—Analyse der Erfordernisse und Konsequenzen eines Ambitionierten Ausbaus Erneuerbarer Energien (The Future of Electricity in Austria 2030—Analysis of the Requirements and Consequences of an Ambitious Expansion of Renewable Energies). TU Wien, Institut für Energiesystem und Elektrische Antrieb, Energy Economics Group (EEG). 2017. Available online: https://www.igwindkraft.at/mmedia/download/2018.02.05/1517824995073289.pdf (accessed on 15 July 2021).
  5. E-Control. Betriebsstatistik—Monatliche Erdgasbilanz 2020 (Operating Statistics—Monthly Natural Gas Balance 2020). 2021. Available online: https://www.e-control.at/statistik/g-statistik/archiv/betriebsstatistik/betriebsstatistik2020 (accessed on 15 July 2021).
  6. BMNT. Mission 2030 Die Österreichische Klima und Energiestrategie (Mission 2030 The Austrian Climate and Energy Strategy) Federal Ministry Republic of Austria Agricuture, Regions and Tourism. 2018. Available online: www.mission2030.bmnt.gv.at (accessed on 10 June 2021).
  7. European Union. The Role of Gas Storage in Internal Market and in Ensuring Security of Supply. 2014. Available online: https://ec.europa.eu/energy/sites/ener/files/documents/REPORT-Gas%20Storage-20150728.pdf (accessed on 9 September 2021).
  8. Gas Infrastructure Europe. GSE Storage Map, May 2012, Techn. Ber. Gas Infrastructure Europe. Available online: https://mapcarta.com/W48363377 (accessed on 17 July 2021).
  9. Schäfer, M.; Gretzschel, O.; Steinmetz, H. The Possible Roles of Wastewater Treatment Plants in Sector Coupling. Energies 2020, 13, 2088. [Google Scholar] [CrossRef] [Green Version]
  10. Fu, P.; Pudjianto, D.; Zhang, X.; Strbac, G. Integration of Hydrogen into Multi-Energy Systems Optimisation. Energies 2020, 13, 1606. [Google Scholar] [CrossRef] [Green Version]
  11. Bachman, N. Sustainable Biogas Production in Municipal Wastewater Treatment Plants; IEA Bioenergy: Cork, Ireland, 2015; 20p, ISBN 978-1-910154-22-9. [Google Scholar]
  12. Gujer, W.; Zehnder, A.J.B. Conversion Processes in Anaerobic Digestion. Water Sci. Technol. 1983, 15, 127–167. [Google Scholar] [CrossRef]
  13. Persson, M.; Jonsson, O.; Wellinger, A. Biogas Upgrading to Vehicle Fuel Standards and Grid Injection. In IEA Bioenergy Task; IEA Bioenergy: Cork, Ireland. 2006. Available online: http://www.iea-biogas.net/files/daten-redaktion/download/publi-task37/upgrading_report_final.pdf (accessed on 18 June 2021).
  14. Soreanu, G.; Béland, M.; Falletta, P.; Edmonson, K.; Svoboda, L.; Al-Jamal, M.; Seto, P. Approaches concerning siloxane removal from biogas—A review. Can. Biosyst. Eng. 2011, 53, 8–18. [Google Scholar]
  15. Munoz, R.C.; Meier, L.; Diaz, I.; Jeison, D. A review on the state-of-the-art of physical/chemical and biological technologies for biogas upgrading. Rev. Environ. Sci. Bio/Technol. 2015, 14, 727–759. [Google Scholar] [CrossRef] [Green Version]
  16. ÖVGW. Richtlinie (Guideline) G31. Erdgas in Österreich—Gasbeschaffenheit (Natural Gas in Austria—Gas Quality) Österreichischer Verein für Gas- und Wasserfach. 2001. Available online: https://portal.ovgw.at (accessed on 11 June 2021).
  17. ÖVGW. Richtlinie G33 (2006) Regenerative Gase—Biogas (Regenerative Gases—Biogas) Österreichischer Verein für Gas- und Wasserfach. Available online: https://www.biogas-netzeinspeisung.at/rechtliche-planung/einspeisung-in-das-oeffentliche-gasnetz/oevgw-g33.html (accessed on 9 September 2021).
  18. ÖVGW. Richtlinie (Guideline) G B210. Regeneratives Gas—Biogas (Guideline G B210 Regenerative Gas—Biogas), 2021, Österreichischer Verein für Gas- und Wasserfach. Available online: https://portal.ovgw.at/pls/f?p=101:203::::RP,203:P203_ID,P203_FROM_PAGE_ID:1075524,202 (accessed on 9 September 2021).
  19. Kim, S.; Choi, K.; Chung, J. Reduction in carbon dioxide and production of methane by biological reaction in the electronics industry. Int. J. Hydrogen Energy 2013, 38, 3488–3496. [Google Scholar] [CrossRef]
  20. Schäfer, M. Ein Methodischer Ansatz zur Bereitstellung Energetischer Flexibilität durch einen Anpassungsfähigen Kläranlagenbetrieb. (A Methodical Approach to Providing Energy Flexibility through an Adaptable Wastewater Treatment Plant Operation); Institut Wasser Infrastruktur Ressourcen 5/2019; Technische Universität Kaiserslautern: Kaiserslautern, Germany, 2019; ISSN1 2570-1460. ISBN1 978-3-95974-108-8. Available online: https://kluedo.ub.uni-kl.de/frontdoor/deliver/index/docId/5608/file/SR_WIR_Band-5_Dissertation_Sch%c3%a4fer.pdf (accessed on 1 June 2021)ISBN2 978-3-95974-108-8. ISSN2 2570-1460.
  21. Bassani, I.; Kougias, P.G.; Treu, L.; Angelidaki, I. Biogas Upgrading via Hydrogenotrophic Methanogenesis in Two-Stage Continuous Stirred Tank Reactors at Mesophilic and Thermophilic Conditions. Environ. Sci. Technol. 2015, 49, 12585–12593. [Google Scholar] [CrossRef] [PubMed]
  22. Bassani, I.; Kougias, P.G.; Angelidaki, I. In situ biogas upgrading in thermophilic granular UASB reactor: Key factors affecting the hydrogen mass transfer rate. Bioresour. Technol. 2016, 221, 485–491. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Xu, H.; Wang, K.; Zhang, X.; Gong, H.; Xia, Y.; Holmes, D.E. Application of in situ H2-assisted biogas upgrading in high-rate anaerobic wastewater treatment. Bioresour. Technol. 2019, 299, 122598. [Google Scholar] [CrossRef] [PubMed]
  24. Lee, J.C.; Kim, J.H.; Chang, W.S.; Pak, D. Biological conversion of CO2 to CH4 using hydrogenotrophic methanogen in a fixed bed reactor. J. Chem. Technol. Biotechnol. 2012, 87, 844–847. [Google Scholar] [CrossRef]
  25. Burkhardt, M.; Busch, G. Methanation of hydrogen and carbon dioxide. Appl. Energy 2013, 111, 74–79. [Google Scholar] [CrossRef]
  26. Strübing, D.; Huber, B.; Lebuhn, M.; Drewes, J.E.; Koch, K. High performance biological methanation in a thermophilic anaerobic trickle bed reactor. Bioresour. Technol. 2017, 245, 1176–1183. [Google Scholar] [CrossRef] [PubMed]
  27. Porté, H.; Kougias, P.G.; Alfaro, N.; Treu, L.; Campanaro, S.; Angelidaki, I. Process performance and microbial community structure in thermophilic trickling biofilter reactors for biogas upgrading. Sci. Total Environ. 2018, 655, 529–538. [Google Scholar] [CrossRef] [PubMed]
  28. Luo, G.; Angelidaki, I. Hollow fiber membrane based H2 diffusion for efficient in situ biogas upgrading in an anaerobic reactor. Appl. Microbiol. Biotechnol. 2013, 97, 3739–3744. [Google Scholar] [CrossRef] [PubMed]
  29. Díaz, I.; Pérez, C.; Alfaro, N.; Fdz-Polanco, F. A feasibility study on the bioconversion of CO2 and H2 to biomethane by gas sparging through polymeric membranes. Bioresour. Technol. 2015, 185, 246–253. [Google Scholar] [CrossRef] [PubMed]
  30. IEA Bioenergy. IEA Bioenergy Task 37—Country Reports Summaries 2019. 2020. Available online: https://task37.ieabioenergy.com/country-reports.html?file=files/daten-redaktion/download/publications/country-reports/Summary/IEA%20Task%2037%20Country%20Report%20Summaries%202019.pdf (accessed on 9 July 2020).
  31. IEA Bioenergy. IEA Bioenergy Task 37—Country Reports Summary 2014. 2015. Available online: http://task37.ieabioenergy.com/country-reports.html (accessed on 9 July 2020).
  32. ÖWAV. Branchenbild der Österreichischen Abwasserwirtschaft 2020 (Image of the Austrian Wastewater Industry in 2020). 2019. Available online: https://www.oewav.at/Publikationen (accessed on 9 July 2020).
  33. ÖWAV. Branchenbild der Österreichischen Abwasserwirtschaft 2016 (Image of the Austrian Wastewater Industry in 2016). 2015. Available online: https://www.oewav.at/Kontext/WebService/SecureFileAccess.aspx?fileguid={e0758c47-28af-4dd3-aaeb-b76d282a92c3} (accessed on 9 September 2021).
  34. Luo, G.; Angelidaki, I. Co-digestion of manure and whey for in situ biogas upgrading by the addition of H2: Process performance and microbial insights. Appl. Microbiol. Biotechnol. 2012, 97, 1373–1381. [Google Scholar] [CrossRef] [PubMed]
  35. Tauber, J.; Svardal, K.; Krampe, J. BioMAra—Biologische Methanisierung in Faulbehältern Kommunaler Abwasserreinigungsanlagen 2. Zwischenbericht (BioMAra—Biological Methanation in Digesters in Municipal Wastewater Treatment Plants 2nd Interim Report). TU Wien, Institut for Water Quality and Ressource Management, Wien, Austria. 2020. Available online: https://iwr.tuwien.ac.at/wasser/forschung/projekte/projekte/biomara/ (accessed on 19 July 2020).
  36. Österreichischer Biomasseverband. Basisdaten 2019 Bioenergie (Austrian Biomass Association, Basic Data 2019 Bioenergy). 2019. Available online: www.biomasserverband.at (accessed on 19 July 2020).
  37. Cencic, O. Nonlinear data reconciliation in material flow analysis with software STAN. Sustain. Environ. Res. 2016, 26, 291–298. [Google Scholar] [CrossRef] [Green Version]
  38. E-Control. Statistikbroschüre 2019 (Statistics Brochure 2019). Energy-Control Austria, A-1010 Wien. 2019. Available online: www.e-control.at (accessed on 9 July 2020).
  39. Statistik Austria. Österreich-Energiebilanzen 1970–2018 (Austria Energy Balances 1970–2018). Bundesanstalt “Statistik Österreich” Guglgasse 13, 1110 Wien. 2019. Available online: http://www.statistik-austria.com/web_de/statistiken/energie_umwelt_innovation_mobilitaet/energie_und_umwelt/energie/energiebilanzen/120091.html (accessed on 22 July 2020).
  40. Ebswien. Kläranlage—Zahlen, Daten, Fakten (Sewage Treatment Plant—Numbers, Data, Facts). 2021. Available online: https://www.ebswien.at/klaeranlage/ (accessed on 17 July 2021).
  41. Lindtner, S.; Leitfaden für die Erstellung eines Energiekonzeptes Kommunaler Kläranlagen (Guidelines for Creating an Energy Concept for Municipal Sewage Treatment Plants). Lebensministerium, Austria. 2008. Available online: http://www.abwasserenergie.at/fileadmin/energie_aus_abwasser/user_upload/energieleitfaden_endversion.pdf (accessed on 17 July 2021).
  42. Haberkern, B.; Maier, W.; Schneider, U. Steigerung der Energieeffizienz auf Kommunalen Kläranlagen (Increasing Energy Efficiency in Municipal Wastewater Treatment Plants). Umweltbundesamt Texte 11/08. 2008. Available online: https://www.umweltbundesamt.de/sites/default/files/medien/publikation/long/3347.pdf (accessed on 9 September 2021).
  43. VSA—Verband Schweizer Abwasser- und Gewässerschutz-Fachleute. Energie in ARA, Leitfaden zur Energieoptimierung auf Abwasserreinigungsanlagen. (Energy in WWTPs, Guidelines for Energy Optimization in Wastewater Treatment Plants). Handbuch im Auftrag des Bundesamtes für Energie und des VSA, Verband Schweizer Abwasser- und Gewässerschutzfachleute, Schweiz. 2010. Available online: www.bafu.admin.ch (accessed on 15 July 2020).
  44. Sterner, M.; Stadler, I. Energiespeicher—Bedarf, Technologien, Integration (Energy Storage—Needs, Technologies, Integration); Springer Vieweg: Wiesbaden, Germany, 2017. [Google Scholar] [CrossRef]
  45. Thema, M.; Bauer, F.; Sterner, M. Power-to-Gas: Electrolysis and methanation status review. Renew. Sustain. Energy Rev. 2019, 112, 775–787. [Google Scholar] [CrossRef]
  46. E-Control. Betriebsstatistik—Gesamte Versorgung in Österreich—Bilanz Elektrischer Energie (Operating Statistics—Total Supply in Austria—Electrical Energy Balance). 2020. Available online: https://www.e-control.at/documents/1785851/1811609/BStGes-JR1_Bilanz.xlsx/c971e00f-b4e1-4a39-b4fe-d16d0fba7041?t=1596094961816 (accessed on 17 July 2021).
Figure 1. Different biogas upgrading methods according to Muñoz et al. 2015 [15].
Figure 1. Different biogas upgrading methods according to Muñoz et al. 2015 [15].
Energies 14 06618 g001
Figure 2. Design capacity PECOD (squares), inflow load PECOD (triangles) and relative COD load (stars) of 28 Austrian WWTPs.
Figure 2. Design capacity PECOD (squares), inflow load PECOD (triangles) and relative COD load (stars) of 28 Austrian WWTPs.
Energies 14 06618 g002
Figure 3. PE-specific digester volume (L·PE−1) and PE-specific daily gas production (L·PE−1·d−1) for 28 Austrian municipal digesters: ADs including co-substrate dosing are marked with triangles; the expected range for the specific gas production from the literature (15–25 L·PE−1·d−1) is marked with dashed lines.
Figure 3. PE-specific digester volume (L·PE−1) and PE-specific daily gas production (L·PE−1·d−1) for 28 Austrian municipal digesters: ADs including co-substrate dosing are marked with triangles; the expected range for the specific gas production from the literature (15–25 L·PE−1·d−1) is marked with dashed lines.
Energies 14 06618 g003
Figure 4. Energy and mass flow chart for in situ methanation in municipal digesters: values calculated for a 100,000 PE model WWTP with AD.
Figure 4. Energy and mass flow chart for in situ methanation in municipal digesters: values calculated for a 100,000 PE model WWTP with AD.
Energies 14 06618 g004
Figure 5. Austrian energy balance for electricity, and bio- and natural gas, for the balance year 2020, with energy flows for PtG through BM in sewage sludge digesters added.
Figure 5. Austrian energy balance for electricity, and bio- and natural gas, for the balance year 2020, with energy flows for PtG through BM in sewage sludge digesters added.
Energies 14 06618 g005
Table 1. Austria’s energy storage capacities in hydropower plants and gas storage facilities.
Table 1. Austria’s energy storage capacities in hydropower plants and gas storage facilities.
HydropowerGas GridSum
(114 Plants)(9 Storage Facilities)
Storage Plants (60)Pump Storage Plants (54)
powerstorage(GW)-3.4 (2)30.6 (4)34
discharge(GW)5.4 (1)3.4 (2)37.4 (4)46.2
capacitystorage(GWh)3000 (1)87,200 (3)90,200
(1) e-control (2020) [3], (2) Austria Forum (2020) [2], (3) European Union (2014) [7], (4) Gas Infrastructure Europe (2012) [8].
Table 2. Typical biogas composition and Austrian quality standards for biogas injection.
Table 2. Typical biogas composition and Austrian quality standards for biogas injection.
Parameter UnitBiogas CompositionQuality According
Austrian Standards
ÖVGW G31 [16] and
ÖVGW G33 [17]
methaneCH4(%)53–70>97
carbon dioxideCO2(%)30–47≤2
oxygenO2(%)0–10.5
nitrogenN2(%)0–3≤5
ammoniaNH4(mg·m−3)<100technical free
hydrogen sulfideH2S(mg·m−3)<1000≤5
water—dewpointH2O(°C)≤37 °C, 1 bar≤−8 °C, 40 bar
calorific valueHi(kWh·m−3)6.7–8.410.7–12.8
Wobbe IndexWi(kWh·m−3)6.9–9.513.3–15.7
Table 3. Total biogas production and biogas production in WWTPs, data from IEA, 2020 [30], and data for Norway IEA, 2015 [31].
Table 3. Total biogas production and biogas production in WWTPs, data from IEA, 2020 [30], and data for Norway IEA, 2015 [31].
CountryReferenceTotal Biogas Production from Sewage Sludge, Industrial Wastewater, Biowaste, Aggricultural Residuals and LandfillsNumber of Biogas Plants Agricultur and Sewage Sludge AD’sBiogas Production in WWTPs Sewage Sludge Digestion onlyNumber of WWTPs Including AD
YearGWh·y−1 GWh·y−1% of Total#
Australia20171587 (3)242381 (3)24%52
Austria20201613 (1)287n.a.n.a.n.a.
Brazil201652191652104%10
Canada2019n.a.150n.a.n.a.31
Denmark201837231723088%51
Finland20176929612618%16
France20173527 (2)687442 (2)8%88
Germany201952,158 (2)10,5513657 (2)7%1274
Norway201050012916433%129
South Korea2017281511963038%36
Sweden2018204428071540%138
Switzerland2018145463463349%473
The Netherlands2018346526264020%80
United Kingdom201823,762 (1)9944266 (1)11%163
sumsumsummeansum
102,55914,64012,88523%2678
(1) calculated from electricity production with ηEL = 0.35; (2) electricity + heat production; (3) calculated from installed capacity.
Table 4. Organic capacity, loading and data from anaerobic digestion, from 28 Austrian WWTPs in the year 2020.
Table 4. Organic capacity, loading and data from anaerobic digestion, from 28 Austrian WWTPs in the year 2020.
WWTPDesignInflowRelativeDigestersDigester Co-SubstrateSpecificSpecificGas GridYearly
CapacityLoadLoadNumberVolume ShareGas ProductionAD VolumeConnectionGas Production
#(PECOD)(PECOD)(%)(-)(m3) (% COD)(L · PE−1 · d−1)(L · PE−1)(Yes / No)(m3 · y−1)
124,50010,6004311690 024.9168.98No96,360
245,00022,2004911300 3638.9128.89Yes315,279
362,50030,0124811600 531.2925.60Yes342,768
465,00048,6907511800 014.8227.69Yes263,394
571,67063,0708823200 026.1144.65Yes601,088
690,00038,8504325000 538.9255.56Yes551,953
7100,00060,0006027000 021.6770.00Yes474,500
8100,000--24600 - 46.00-730,000
9100,00091,6639212500 012.6925.00-424,680
10110,00075,0006825500 022.3250.00Yes610,946
11120,000150,00012538250 4356.3268.75Yes3,083,520
12120,00075,3096325400 4775.5345.00Yes2,076,263
13130,00055,0004224800 521.8236.92No438,000
14130,00078,3006023000 023.5123.08Yes672,000
15135,500108,3008026000 631.3944.28Yes1,241,000
16150,000--37200 - 48.00-1,095,000
17160,000150,0009429000 023.7456.25Yes1,300,000
18167,000138,0008325000 2336.7229.94Yes1,849,384
19170,000110,0006525000 014.5529.41No (1)584,000
20200,000170,00085211,000 029.0155.00n.a.1,800,000
21255,000110,0004326000 024.9123.53Yes1,000,000
22260,000102,00039210,500 4549.0240.38Yes (2)1,825,000
23280,000219,00078311,000 024.1339.29No1,928,832
24370,000--28000 --21.62--
25400,000260,0006529200 2037.9323.00Yes3,600,000
26457,579507,913111512,000 528.2326.22Yes5,232,742
27950,000745,62578331,200 024.1432.84Yes (2)6,570,000
28 (3)4,000,0003,120,00078675,000 021.6018.75No24,600,000
sum9,223,7496,539,532 62261,740 22.01 (4)/40.72 (5) 18 Yes/5 No63,306,709
mean 704 1030.17 (6)39.45 ≈411 GWh·y−1
(1) Gas grid connection is currently under construction; (2) Biogas upgrading is already installed; (3) data from Project EOS (ebswien, 2021) [40]; (4) average specific gas production for plants without co-substrate; (5) for plants dosing co-substrate; (6) all plants.
Table 5. Austrian WWTPs including AD, their number, design capacity, sum and share of treatment capacity data (ÖWAV, 2019) [32] combined with own calculations.
Table 5. Austrian WWTPs including AD, their number, design capacity, sum and share of treatment capacity data (ÖWAV, 2019) [32] combined with own calculations.
CategoryNumber of WWTPsSumShareBiogasEnergy
Design CapacityIncluding AD ProductionProduction
PECOD#PECOD[-]Mio m3·y−1GWh·y−1
>50,0005913.6 Mio90%76.45734
>20,00013714.8 Mio98%83.19799
All16415.1 Mio100%84.88815
Table 6. Total biogas production and biogas production in WWTPs in Austria (data for Austria’s biogas production in 164 sewage sludge ADs from own calculations).
Table 6. Total biogas production and biogas production in WWTPs in Austria (data for Austria’s biogas production in 164 sewage sludge ADs from own calculations).
CountryReferenceTotal Biogas Production
from Sewage Sludge, Industrial Wastewater, Biowaste, Aggricultural Residuals and Landfills
Number of Biogas Plants Agricultur and Sewage Sludge AD’sBiogas Production in WWTPs
Sewage Sludge Digestion Only
Number of WWTPs
Including AD
YearGWh·y−1 GWh·y−1% of Total#
Austria20201715 (1)315815 (2)44% (2)164 (3)
(1) calculated from electricity production with ηEL = 0.35; (2) calculated from survey data, using 15.1 Mio PE and 44.6 kWh·PE−1·d−1; (3) ÖWAV, 2019.
Table 7. Daily produced gas volumes and shares in the product gas for CH4, CO2 and H2 for a model AD including biological methanation for five different BM efficiencies and classic AD without BM as a reference for the model WWTP.
Table 7. Daily produced gas volumes and shares in the product gas for CH4, CO2 and H2 for a model AD including biological methanation for five different BM efficiencies and classic AD without BM as a reference for the model WWTP.
GasClassic ADAnaerobic Digestion Including In Situ Methanation
Componentswithout BMηBM = 0.7ηBM = 0.8ηBM = 0.93ηBM = 1.0
Daily VolumeShareDaily VolumeShareDaily VolumeShareDaily VolumeShareDaily VolumeShare
(m3·d−1)(%)(m3·d−1)(%)(m3·d−1)(%)(m3·d−1)(%)(m3·d−1)(%)
H2 input0-5600-5600-5600-5600-
CH4210060%315064%322070%350088%3500100%
CO2140040%3507%2806%1082%00%
H200%140029%112024%39210%00%
sum output3500100%5300100%4620100%4000100%3500100%
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Tauber, J.; Ramsbacher, A.; Svardal, K.; Krampe, J. Energetic Potential for Biological Methanation in Anaerobic Sewage Sludge Digesters in Austria. Energies 2021, 14, 6618. https://doi.org/10.3390/en14206618

AMA Style

Tauber J, Ramsbacher A, Svardal K, Krampe J. Energetic Potential for Biological Methanation in Anaerobic Sewage Sludge Digesters in Austria. Energies. 2021; 14(20):6618. https://doi.org/10.3390/en14206618

Chicago/Turabian Style

Tauber, Joseph, Andreas Ramsbacher, Karl Svardal, and Jörg Krampe. 2021. "Energetic Potential for Biological Methanation in Anaerobic Sewage Sludge Digesters in Austria" Energies 14, no. 20: 6618. https://doi.org/10.3390/en14206618

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop