Next Article in Journal
GMANet: Gradient Mask Attention Network for Finding Clearest Human Fecal Microscopic Image in Autofocus Process
Next Article in Special Issue
Anaerobic Digestate from Biogas Plants—Nuisance Waste or Valuable Product?
Previous Article in Journal
Multi-Time and Multi-Band CSP Motor Imagery EEG Feature Classification Algorithm
Previous Article in Special Issue
Problems of Hydrogen Doping in the Methane Fermentation Process and of Energetic Use of the Gas Mixture
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Role of Biomethane from Sewage Sludge in the Energy Transition: Potentials and Barriers in the Arab Gulf States Power Sector

by
Mohammad Alshawaf
1,*,
Abdalrahman Alsulaili
2,
Mohamed Alwaeli
3 and
Huda Allanqawi
4
1
Environmental Technology Management Department, College of Life Sciences, Kuwait University, P.O. Box 5969, Safat, Kuwait City 13060, Kuwait
2
Department of Civil Engineering, College of Engineering and Petroleum, Kuwait University, P.O. Box 5969, Safat, Kuwait City 13060, Kuwait
3
Department of Technologies and Installations for Waste Management, Faculty of Energy and Environmental Engineering, Silesian University of Technology, 44-100 Gliwice, Poland
4
Pumping Stations and Treatment Plants Department, Ministry of Public Works, Safat, Kuwait City 13001, Kuwait
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(21), 10275; https://doi.org/10.3390/app112110275
Submission received: 5 October 2021 / Revised: 26 October 2021 / Accepted: 29 October 2021 / Published: 2 November 2021
(This article belongs to the Special Issue Biogas as Renewable Energy Source)

Abstract

:
The increasing energy and water demands by the Arab Gulf states highlight the importance of sustainable use of energy resources. Wastewater sludge management for energy recovery creates an opportunity for sector integration for both wastewater treatment plants and renewable energy production. The objective of this study was to theoretically estimate the biomethane potential of wastewater sludge, together with identification of the role of biomethane in the region. The prediction of biomethane potential was based on the theoretical stoichiometry of biomethanation reactions, using the R-based package ‘Process Biogas Data and Predict Biogas Production’. The biomethane potential of sludge ranges between 232–334 × 106 m3, with a total heat-value up to 10.7 trillion BTUs annually. The produced biomethane can generate up to 1665 GWh of electric energy, an equivalent amount to the current levels of electricity generation from wind and solar power combined. The findings from the case study on Kuwait’s indicate that biomethane could displace 13 × 106 m3 of natural gas, or approximately 86,000 barrels of crude oil, while simultaneously reducing greenhouse gas emissions by 86% when compared to the base-scenario. Despite its potential, biomethane recovery in the region is hindered by technical-, economic-, and policy-based barriers.

1. Introduction

The continuous growth in energy demand in the light of climate change and energy security concerns is driving countries to transition to alternative and renewable energy sources to reduce the reliance on traditional fossil fuels. While decarbonizing the energy sector is the key driver of the energy transformation, there are other factors for the transition. Falling renewable energy costs, jobs creation, energy access, human health and air quality, and energy security goals are additional factors driving energy transition [1]. Renewable energy accounts for approximately 10% of the global energy supply in 2018, of that share, bioenergy has the largest hold 70% of the total renewable energy supply [1,2]. While the photovoltaics and wind energies are expected to experience the largest growth rates between 2019 and 2024 [3]. Bioenergy has a significant role in the energy transition process and decarbonization of the power/heating sectors if sourced from sustainable and affordable feedstocks. In addition, the versatility and flexibility of biofuel states (solid, liquid, gaseous) render bioenergy attractive for implementation within multiple sectors, including their utility as liquid fuels for transportation, as solid biomass for heat generation (through incineration), and as biogas for combined heat and power (CHP) production. Biogas is produced during the anaerobic-based biological processing of biodegradable organic compounds, known as anaerobic digestion (AD). Biogas is produced from a variety of feedstocks that are typically grouped into the following categories: crop residues and other agricultural feedstock, animal manure, organic waste within municipal solid waste, together with wastewater and wastewater sludge [4,5,6]. Raw biogas typically contains 60% methane (CH4), 40% carbon dioxide (CO2), and other impurities (mostly H2S, H2O, and H2).
Bioenergy has the potential to play a role as a flexible resource within the renewable and variable power supply systems (wind and solar). In order to offset variability and increase the reliability of power supplies, dispatchable and flexible power plants—such as natural gas plants—are expected to play an important role in the energy transition process. Further decarbonization of the power sector is possible through expanded use of biomethane (a renewable natural gas), mainly upgraded from biogas [7,8,9,10]. The utilization of biogas and biomethane can reduce GHG emissions by substituting fossil fuels and by avoiding CO2 and CH4 emissions from the decomposition of organic waste during storage and disposal. However, the production of biogas through AD also constitutes a source of both such gases. Consequently, the assessment for potential reduction of GHG emissions (mainly CO2) through biogas and biomethane is complex, since it largely depends on the type of feedstock, collection and transportation, production processes, CH4 leakage and end use. The CO2 emissions from biogas are affected by biomass production (carbon negative), biomass-to-biogas production (nearly carbon natural), and biogas end use (carbon positive) [11].

1.1. Power Demands and Wastewater Generation in the Arab Gulf States

The increasing power demands and wastewater generation by the Arab Gulf, more specifically the Gulf Co-operation Council (GCC) states highlight the importance of sustainable use of energy resources. According to the International Energy Agency, power generation units and water desalination plants within the GCC region consume approximately 15–27% of all energy available for domestic use [2]. The electricity and desalination plants are powered by crude/gas oils, heavy fluid oil and natural gas.
Electricity consumption in the GCC region grew at an annual rate of 4% between 2014 to 2018, where Saudi Arabia and the UAE accounted for 52% and 19.8% of the total electricity consumption, respectively. Additionally, the volume of municipal wastewater has been steadily increasing at an annual rate of 5% (Figure 1). As of 2019, the total wastewater generation within the GCC region alone was approximately 4763 × 106 m3, where Saudi Arabia and the UAE accounted for 65% and 16% of the total wastewater volume, respectively. Wastewater sludge management for the energy recovery creates an opportunity for sector integration for both wastewater treatment plants and renewable energy production.
As of 2020, the renewable energy share of the total-installed power capacity was 3271 MW, or 2% of the total capacity [13]. Solar power is the dominant form of renewable energy in the GCC region, accounting for 96% of the total renewable energy sources, followed by wind and bioenergy, respectively [13]. In addition, natural gas has become a valuable oil-substitute energy source for domestic power generation (Table 1). It is worth noting that Qatar is the only member state in the GCC region where bioenergy is integrated within its energy profile. Scientific literature on bioenergy production and utilization in the GCC region is still limited. Biogas production potential and feedstock analysis were addressed by multiple investigations [4,14,15,16,17,18], together with similar studies on biofuels [19,20,21,22] and the potential of municipal solid waste incineration and syngas production [23,24].

1.2. Energy Recovery from Wastewater Sludge

Liu et al., [25] reviewed the differing technologies for energy recovery from municipal wastewater sludge. The study concluded that moisture content levels within sludge substantially affect the energy requirements for many of the energy recovery options, especially those that require dewatering and drying, such as incineration and pyrolysis [25]. Tyagi & Lo [26] presented a review of the types of resources that could be recovered from waste sludge, together with the methods employed to convert sludge into valuable resources. According to this study, AD is a well-established methodology and is widely used due to its cost-effectiveness and dual purpose (sludge stabilization and energy production) [26]. However, the main disadvantage is the slow-paced hydrolysis of sludge, which can be overcome by physical and chemical modifications to the process [26]. One major limitation of AD is its inability to decompose organic matter completely, with the by-product consisting of digestate [27]. Cao & Pawłowski [27] concluded that the efficiency of sludge-to-energy conversion can be enhanced through AD followed by a pyrolysis step (fed with digestate), which converts organic matter into bio-oil, biochar, and pyrolytic gas. Another limitation of AD is the prolonged sludge retention time within the digester, approximating a timeframe of 10–20 days. Elalami et al., [28] addressed the limitation of municipal wastewater sludge as a feedstock to produce CH4, since AD sludge typically contributes low CH4 yields in comparison to other types of organic waste.

2. Objectives

The objective of this study is to investigate the regional scale biomethane potential for the GCC member states using publicly available data on wastewater and sludge. The study aims to assess the role of biogas and biomethane from sludge in the energy transition in the region and quantify the potential fossil fuels savings and emissions reduction. Additionally, this study serves to highlight the barriers and drivers for the deployment of biogas and biomethane in the GCC region.

3. Prediction of Biochemical Methane Potential

The theoretical amount of biogas and biomethane production is referred to as biochemical methane potential (BMP). It is an important parameter used in evaluating the productivity of organic materials (feedstock) in producing biogas and CH4. There are numerous methods to estimate the BMP of feedstocks. Jingura and Kamusoko [29] classified all current BMP estimation methods into experimental and theoretical methods, and reviewed the advantages and disadvantages of both groups. Most experimental techniques consist of laboratory-scale batch assays that utilize manometric, volumetric, and gas chromatography methods to measure CH4 production.
Experimental BMP methodologies mimic AD conditions on a practical level and such estimates are valid and reliable. However, the main drawbacks of such methodologies include relatively high costs and the length of time required for obtaining results [29]. Conversely, theoretical methodologies are employed for predicting BMP from readily available feedstock parameters, such as elemental/chemical compositions and chemical oxygen demand (COD). The utility elemental composition (C, H, O, S, N) of a substrate as a predictor of BMP is based upon Buswell’s stoichiometric formula [30], which assumes that organic matter is completely biodegraded to CH4 and CO2. In contrast, McCarty [31] proposed a modified bioenergetics and stoichiometry approach which takes into account the fraction of substrate used for cellular synthesis and energy production (CH4). Furthermore, in cases where elemental composition of the substrate is unknown, the chemical composition (mainly carbohydrates, proteins and lipids) can alternatively be used to determine BMP. Godin et al. [32] demonstrated the reliability of chemical composition as a predictor of BMP using statistical models, though the accuracy of such a prediction is sensitive to the model structure. The biogas yield of substrates varies, depending on the elemental and chemical composition, total and volatile solids, organic content, oxygen demand, carbon to nitrogen (C/N) ratio, and level of inhibitory substances [29]. Typically, fats and proteins generate increased CH4 levels than carbohydrates, with compounds such as lignin not being degradable under anaerobic conditions [33]. Biological oxygen demand (BOD) and COD are additional indicators of organic content in feedstocks and are both employed for predicting biogas production [4,34,35,36]. The optimal range of C/N ratio for gas production is 20–35:1 [36]. A low ratio indicates elevated proteomic content, resulting in exacerbated ammonia levels and eventual methanogenic inhibition, while high ratios lead to reduced gas production due to nitrogen depletion [37].

4. Materials and Methodology

4.1. BMP Prediction Model: A Stochiometric Approach

The theoretical prediction of BMP was determined using an R-based software package (Process Biogas Data and Predict Biogas Production) developed by Hafner et al. [38]. The model predictions and calculations are based on the theoretical stoichiometry of biomethanation reactions described by Rittmann and McCarty [39] and cited by Hafner and Rennuit [40]. The reactions are as follows:
C n H a O b N c + ( 2 n + c b 9 d f s 20 9 f e 4 ) H 2 O
d f e 8 C H 4 + ( n c d f s 5 d f e 8 ) C O 2 + d f s 20 C 5 H 7 O 2 N +
( c d f s 20 ) N H 4 + + ( c d f s 20 ) H C O 3
f s = f s 0 ( 1 + ( 1 f b d ) b θ x 1 + b θ x )
where f s is the substrate electrons going to the cell synthesis (fraction); f e is the substrate electrons going for energy production (fraction); d = 4n + a − 2b − 3c (dimensionless); f s 0 is a constant − intrinsic value (dimensionless); f b d is the degradability of microbial biomass (fraction); θ x is the solids retention time (d) and b is the rate of microbial biomass decay (d−1)
Within this model, biomethane prediction is expressed in mL at standard conditions of 101.325 kPa (1.0 atm) and 0 °C (273.15 K). Additionally, the model predicts total inorganic carbon, including both CO2 and HCO 3 , ammonia consumption/production, and cell biomass production [40]. Theoretical BMP estimation assumes that organic matter (substrate) is completely biodegraded to CH4 and CO2, where cell synthesis fs is zero (fe = 1). The model allows the user to correct the prediction estimate to account for cell synthesis fs. Complex substrates, such as sludge and other types of mixed wastes, are not completely degraded during AD, thus the degraded fraction level can be specified within the model. COD loading can also be used to calculate CH4 production, based on the oxidation of CH4 with O2 [39]:
1 8 C H 4 + 1 4 O 2 1 8 C O 2 + 1 4 H 2 O
.

4.2. Materials

4.2.1. Municipal Wastewater Data of GCC States

The volume and chemical composition of wastewater sludge generation within the GCC region are not publicly available. Consequently, estimation of the biomethane production from sludge was not feasible at the time of execution of this study. Alternatively, the annual COD loading was utilized as a parameter to estimate CH4 production. The COD loading was calculated using the annual wastewater influent and COD concentration for each country (Table 2). The wastewater COD concentration for Bahrain was not available at the time of this study. However, the influent represents 3% of the total influent wastewater within the GCC. The BOD/COD ratio is an indicator of the biodegradable fraction of wastewater (Table 2). One of the major limitations for employing COD is that the model only estimates the theoretical biochemical CH4 potential, though not fugitive CO2 [38]. Through the use of additional parameters, such as the elemental composition (C, H, O, S, N), this model can also predict CO2 partitioning and total biogas production. Since the elemental composition and volume of sludge datasets were not available for all GCC states excluding Kuwait, the latter member state was used as a reference case to estimate total biogas production through assessment of elemental compositions of wastewater sludge.

4.2.2. Municipal Wastewater Data for Kuwait

Municipal and industrial wastewater is managed and treated by the Ministry of Public Works (MPW). The total wastewater collected in 2019 was 378 × 106 m3—generated from residential, governmental, and commercial sectors [46]. There existed (in 2019) six wastewater treatment plants (WWTPs), where five plants operated using a three-phase system; primary, secondary, and tertiary (sand filtration and disinfection). The Sulaybia plant, which treats 53% of all wastewater reserves, includes an additional reverse osmosis (RO) and UV disinfectant treatment phase. The majority of effluent is distributed locally for reuse in irrigation, natural reserves, artificial ponds, injection wells, and other commercial uses. The wastewater treatment system generates approximately 3.2 × 106 m3 of wet sludge annually [46], equivalent to 158,000 tonnes of dry sludge (assuming wet sludge has a 6%-solids content and a density that is similar to water at ambient temperature). Wet sludge is dewatered, solar dried, and stored on sight or landfilled. Previously, dry sludge was employed for agricultural purposes, but the Kuwait Environmental Protection Authority (KEPA) has recently banned this practice. Dry sludge samples were collected from the Sulaybia WWTP between October and December of 2020, and analyzed for physico-chemical characteristics (Table 3).

4.3. Model Inputs, Assumptions, and Limitations

Biogas production estimates were based on the latest available data on GCC wastewater and sludge generation rates. Estimation of the expected growth of biogas production, based on future wastewater and sludge generation rates, was beyond the scope of this study due to the lack of such data. The COD loading rates for each country are presented in Table 2. The COD removal efficacy was, in its near entirety, based on the influent and effluent COD concentration. The BOD/COD ratio served as the biodegradable fraction of wastewater (fd). The fraction of substrate that was used for cell synthesis (fs) ranged between 5–25%, a midpoint value of 15% was used in the model [40]. For Kuwait’s reference case, 158,000 tonnes of dry sludge are produced annually. The AD was assumed to operate at the conventional temperatures range of 30–40 °C (mesophilic temperatures range) with an optimal pH range (6.5–8) [28,47]. The biodegradability of sludge was not analyzed in this study, though it was assumed to be 20.2% [48]. The total volume of biogas was impacted by the partitioning CO2 in the aqueous and gas phase (biogas). Although CH4 has low water solubility, a significant portion of CO2 typically remains in solution [40]. The partitioning of CO2 (i.e., composition of biogas) is also affected by temperature and pH of the final solution.
It is worth noting that biomethane estimates, which are based on COD loading data, were expected to be overestimated since the COD method does not account for energy expenditure on cell synthesis, and this model consequently assumed that all carbon is converted to CH4 and CO2. The model also assumed the COD of CH4 to be 64 g of O2/mole of CH4, regardless of substrate. Additionally, the C/N ratio of the sludge was 6.48:1 which is sub-optimal for AD as the optimal range of C/N ratio for gas production is 20–35:1 [36]. Consequently, the biomethane production rates (which are based on COD loadings) are considered as the theoretical upper limits for biomethane production. Estimation of electrical power was based on a CHP engine with 45% efficiency and a biomethane energy content of 11.04 kwh/m3. The reverse osmosis (RO) energy requirement was 5.5 kwh/m3 for desalinating seawater and was calculated using Kuwait’s RO performance data and applied to the other GCC states.
The estimated biomethane production level for the region is based on the assumption that all the produced sludge from the wastewater plants is collected and anaerobically digested and does not take into account other waste streams such as municipal and agricultural wastes, the economic feasibility—which varies by location, plant size, and market conditions within each member state. Additionally, the CH4 yields are based on average and aggregated wastewater data obtained from selected locations and assumes uniformity across plants and operational conditions.

4.4. Estimating GHG Emission Reduction

The utilization of biogas and biomethane as an energy source can achieve emissions reduction by replacing conventional fossil fuels and avoiding fugitive CH4 and CO2 emissions, resulting from anaerobic decomposition of sludge in landfills/storage facilities. The annual emission reductions were calculated for Kuwait as a reference case, due the availability of sludge data and composition. Fuel displacements were based on the total heat content of potential biomethane, such that the annual expected heat energy from biomethane was converted into equivalent volumes of natural gas, crude oil, gas oil, and heavy fuel oil (HFO). The emissions and fuel volumes were based on the emission factors and heat content reported by the US Environmental Protection Agency [49]. Emissions from sludge disposal were based on the assumption that dry sludge undergoes anaerobic decomposition in a landfill, with similar performance to an anaerobic digestor. Consequently, CH4 and CO2 emissions from dry sludge disposal in a landfill are similar to those estimated by the AD model. This study compared two emissions scenarios; a base scenario where electricity is produced from conventional fuels and wastewater sludge is stored or disposed of in a landfill. The alternative scenario is where sludge is anaerobically converted into biogas and utilized as an energy source to produce electricity.

5. Results and Discussions

5.1. BMP for the GCC Region

Table 4 shows a comparison between the biomethane prediction per gram of COD loading and wastewater dry sludge. The results indicated that estimation of BMP using COD loading yielded 144 mL/g of COD, which is nearly 30% more than the volume of BMP estimated using the elemental composition of dry wastewater sludge. Variations in estimations can be attributed to the factors discussed in Section 4.3, such as cell synthesis, biodegradability, C/N ratio, and the model’s simplifying assumption that all carbon content in COD is converted to CH4 and CO2. While the model estimations are based on stoichiometric ratios of input/output, it does not estimate the CO2 volume when COD is used since it does not distinguish between the partitioning CO2 in the aqueous and gas phase (biogas). Consequently, additional inputs such as temperature, pH, and composition were employed to estimate the total biogas volume (CH4 and CO2) (Table 4). The empirical formula for dry sludge yielded a mean biogas volume of 139.5 mL/g, consisting of 72% biomethane and 28% CO2 (Table 4). A literature review of the experimental BMP of wastewater sludge revealed that CH4 yields vary greatly, from 50 mL/g to >1000 mL/g of sludge. These variations can be attributed to the type of sludge (primary, activated, or mixed), operating conditions (temperature and pH), organic loading rates, pre-treatment of sludge, and reactor of experimental setup [16,22,26,27,29,50,51,52,53,54,55,56].
Table 5 presents the BMP of wastewater sludge produced in the GCC region. These estimates are based on the values in Table 4 and on the assumption that the chemical composition for sludge produced in GCC states is similar to that produced in Kuwait. Thus, the BMP estimated from the chemical composition was 30% less than the BMP estimated from COD loading. The biomethane potential of sludge for the entire region ranged between 232–334 × 106 m3 of biomethane (Table 5), with a total heat value up to 10.7 trillion BTUs annually. The lower end was BMP estimated from the chemical composition and the upper end was BMP estimated using COD loading. Saudi Arabia, the largest and most populated member state in the GCC, accounted for nearly 71% of all biomethane production, followed by the UAE at 15%. The remaining four counties accounted for 14% of all BMP. In its raw form, biogas can be utilized directly as a cooking fuel, fed to CHP plants, or can be upgraded to biomethane, to be injected into the gas grid for consumption by power plants. Biomethane production in the GCC region can generate up to 1665 GWh of electrical energy annually (Table 6), an amount equivalent to the current electricity generation from combined wind and solar energy sources. Regarding individual GCC member states, the UAE could gain a 13–19% increase in renewable energy (electricity) production when utilizing biomethane, while KSA could gain up to 537% increased electricity production from renewable sources. Desalinated seawater could be generated from renewable energy sources if coupled with RO technologies. Hypothetically, if all biomethane is used to power RO desalination units, the potential production of low-carbon-footprint freshwater can be as high as 302 × 106 m3 annually (6% of all current desalinated water production) (Table 6).
As the GCC states aim to increase the share of renewable sources (wind and solar) within the electricity sector, additional power flexibility is required to offset fluctuating wind and solar-based power production. Unlike the variable solar and wind-based energy production sources, biomethane can be directly utilized in gas turbines that can be dispatched in a timely matter to facilitate the integration of a high share of intermittent renewables. One key advantage of biomethane is that it can exploit existing natural gas infrastructures, such pipelines, storage and turbines.

5.2. BMP for Kuwait and the Potential Emission Reduction

The estimated biogas composition for this study was 72% biomethane and 28% CO2 by volume (Table 4). Annual dry sludge production in Kuwait is approximately 158,000 tonnes, which yields a BMP of 14.7 × 106 m3, with a total heat content of 471.7 billion BTUs. Biomethane could displace 13 × 106 m3 of natural gas, or approximately 86,000 barrels of crude oil or other liquid fuels annually (Table 7). The decision on which fuel to displace depends on economic and environmental factors which capture the scarcity, energy security, and environmental facets of such fuels. Kuwait exports crude oil and, consequently, displacing crude oil would increase export capacity for the country, while displacing HFO would yield in maximum emissions reductions. The findings of this case study are meant to demonstrate the fuel savings and emission reductions of utilizing biogas as a clean and renewable fuel. While data on sewage and wastewater sludge were not available for the other GCC states at the time of this study, such potential benefits can be extrapolated to other GCC states since they all have similar fossil fuel powered plants.
Two emissions scenarios were compared for this case study (Table 8). The base scenario was where electricity is produced from estimated fossil fuels and the dry sludge is stored or disposed of in a landfill. The alternative scenario was where sludge is anaerobically converted to biogas and utilized as an energy source to produce electricity. It is worth noting that emissions from sludge disposal were based on the assumption that dry sludge undergoes anaerobic decomposition in a landfill, with similar performance to an anaerobic digestor. Regarding the base scenario, the combustion of fossil fuels emits CO2, NOX, and CH4. Additionally, dry sludge emits CH4 and CO2 under anaerobic conditions. In this scenario, the combustion of natural gas emission emits roughly 25 × 106 Kg of CO2 annually, while the other liquid fuels emit 35–38 × 106 Kg of CO2 annually. Sludge disposal emissions in this scenario were 9.6 × 106 Kg and 13 × 106 of CH4 and CO2, respectively. The total GHG emissions in this scenario ranged from 280,000–293,000 tonnes of CO2 equivalents. In the alternative scenario, dry sludge underwent AD in a reactor where CH4 is captured and used to as a substitute to fossil fuels. The combustion of biomethane emits CO2 and NOX. Note that no carbon capture was assumed in either scenarios, rather CO2 was assumed to be released into the atmosphere. All emissions were converted into CO2 equivalents and reported as GHG emissions (Table 8). The employment of biomethane as a clean, renewable fuel and the displacement of fossil fuels could potentially reduce GHG emission by 86% when compared to the base scenario (Table 8). The substantial reduction in GHG emissions is due to biomethane capture, which has 25× fold increased global warming potential than CO2, that would otherwise be released from landfills into the atmosphere.

5.3. Pre-Treatment, Co-Digestion, and Biogas Upgrade

Biomethane yields from sludge AD are low when compared to other types of biomass, due to the presence of complex organic structures, microbial flocs (activated sludge), and other inhibitory compounds. However, the pre-treatment of sludge prior to AD can improve biodegradability of sludge and increases CH4 production [28,57]. Further improvements can be achieved through co-digestion of sludge to adjust moisture content, C/N ratio and nutrient balance [28]. Co-digestion of sludge with lipids, such as fatty wastewater, meat processing by-products, food waste and organic municipal solid waste, can increase CH4 production [28]. In addition to enhanced biomethane yield, co-digestion allows the cost sharing of various waste streams in a single digestor. However, the main drawbacks of co-digestion are the transportation costs and feedstock inconsistencies. Biogas can be valorized further by transforming it into enriched biomethane (natural gas), which has a higher market value and can be used by power plants, industry and households. Typically, the composition of biogas is 50–75% CH4, 25–50% CO2 and other impurities. The utilization of raw biogas as a direct natural gas substitute (up to 95% CH4) is limited due to the potential corrosion of pipelines in the gas grid and inconsistencies in the calorific value of biogas. Thus, the purification and upgrading of biogas to biomethane are necessary for the removal of CO2 and other impurities. Purification and upgrading technologies are based on adsorption and absorption principles, or separation by membranes [5,58,59].

5.4. Barriers, Drivers and Policies Regarding Biomethane Deployment

Despite the huge potential for biomethane in the GCC region, the deployment of biogas and biomethane recovery and utilization is hindered by several barriers which can be summarized into technical, economic, and policy barriers. Infrastructural challenges such as the lack of pipelines and connections from wastewater plants to the national gas grid are major challenges. Additionally, the co-digestion of sludge would require an appropriate waste management system for the collection, segregation and storage of waste, all of which are under-developed waste management options in the GCC region. The composition of biogas varies according to the operating parameters (including temperature, retention time, input rate) and consequently creating inconsistent heat content of biogas across differing biogas plants or seasonal variations. The investment costs of biogas installations and the lack of economic incentives create further barriers to the deployment of biomethane as a source of energy. The construction and equipment costs, along with the treatment and transportation of biomass, can negatively impact the budget of a biogas plant. A study by Fraunhofer ISE, ref. [60] compared the costs of various renewable energy technologies in Germany using the levelized cost of electricity (LCOE), given differing plant capacities, life spans and capital costs. The study found that the LCOE of biogas plants remains higher than wind and solar PV installations, where the LCOE of biogas is 10.17–14.74 €cents/kwh while wind and solar PV costs were 3.71–13.79 €cents/kwh. In addition, the lack of government invectives such as financial support and loans render biogas projects less attractive to investors and this contributes to the low adoption rate of biogas technologies. In order to promote biogas deployment and recovery, several economic incentives can be applied to offset the high investment costs and provide other revenue streams to the WWTP or biogas facility. Feed-in tariffs for electricity generated from biogas, together with subsidies for using feedstocks, such as wastewater sludge or other forms of biomass, can incentivize the deployment of biogas technologies. Additionally, carbon credits and trading can provide an alternative revenue stream for biogas facilities, as biogas recovery avoids potential CH4 emissions from landfills and displaces fossil fuels.
A sustainable deployment of biogas recovery from wastewater sludge is dependent on policies regarding the water, energy, and environmental sectors. Recovered biogas from AD in WWTPs is a renewable source of energy and is a substitute to natural gas in its upgraded form (biomethane). Thus, renewable energy targets requiring a fraction of the energy mix to be met with biogas, can promote the generation of a considerable volume of renewable biomethane in the GCC region from wastewater sludge and other organic waste. Emission reduction targets for the wastewater plants and power generation plants can help in further adoption of biogas recovery by avoiding the emission of CH4 into the atmosphere and the displacement of fossil fuels for power generation. Additionally, landfill disposal regulations can be imposed on the organic fraction of municipal solid waste to incentivize the collection and treatment of organic waste as a co-digestion substrate.

6. Conclusions and Future Work

The findings of this study demonstrate the vital role of biogas and biomethane as a renewable fuel in decarbonizing the energy and water systems within the GCC region, together with highlighting the importance of diverting organic substrates from landfills to avoid CH4 release. The biomethane potential of sludge for the region ranges between 232–334 × 106 m3, with a total heat-value up to 10.7 trillion BTUs annually. The produced biomethane can generate up to 1665 GWh of electric energy, an equivalent amount to the current levels of electricity generation from wind and solar power combined. The findings from the case study on Kuwait’s indicate that biomethane could displace 13 × 106 m3 of natural gas, or approximately 86,000 barrels of crude oil, together with reducing greenhouse gas emissions by 86% when compared to the base-scenario. In addition, biomethane can serve as a flexible and renewable source of energy to maintain a reliable power supply with minimum carbon emissions, allowing larger shares of variable energy sources (wind and solar) to be integrated into the power systems. Despite its benefits, the widespread deployment of biogas generation and recovery from organic substrates in the GCC region is hindered by several economic and policy barriers. The fossil fuels production industries are mostly state owned and receive political and financial support from the governments in the region. Thus, low carbon energy targets, energy and environmental policies, and economic incentives remain the major drivers for deployment of the biogas and biomethane industries. The scope of this paper was limited to the theoretical estimation of biomethane potential, using publicly available data on wastewater, sludge characteristics and chemical composition. Further research is required on biomethane potential using experimental methods which mimic anaerobic conditions in practice and assess the impact of operational factors (such as biodegradability, incubation times, macronutrients requirements, and temperature) on CH4 yields.

Author Contributions

Conceptualization, M.A. (Mohammad Alshawaf) and A.A.; Data curation, H.A.; Investigation, M.A. (Mohammad Alshawaf), A.A. and M.A. (Mohamed Alwaeli); Methodology, M.A. (Mohammad Alshawaf); Re-sources, A.A. and H.A.; Software, M.A. (Mohammad Alshawaf); Validation, A.A. and M.A. (Mohamed Alwaeli); Writing—original draft, M.A. (Mohammad Alshawaf); Writing—review & editing, A.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Abbreviations

BMP Biochemical methane potential
BOD Biological oxygen demand
CHP Combined heat and power
COD Chemical oxygen demand
GCC Gulf Co-operation Council
KEPA Kuwait Environmental Protection Authority
MPW Ministry of Public Works
RO Reverse osmosis
WWTP Wastewater treatment plant

References

  1. IRENA. Global Renewables Outlook: Energy Transformation 2050; IRENA: Abu Dhabi, United Arab Emirates, 2020. [Google Scholar]
  2. IEA. Data & Statistics [WWW Document]. 2021. Available online: https://www.iea.org (accessed on 29 April 2020).
  3. IEA. Renewables 2019. Available online: https://www.iea.org/reports/renewables-2019 (accessed on 29 April 2020).
  4. Mes, T.Z.D.; de Stams, A.J.M.; Reith, J.H.; Zeeman, G. Methane production by anaerobic digestion of wastewater and solid wastes. In Bio-Methane & Bio-Hydrogen: Status and Perspectives of Biological Methane and Hydrogen Production; Dutch Biological Hydrogen Foundation: The Hague, The Netherlands, 2003; pp. 58–102. [Google Scholar]
  5. Van Foreest, F. Perspectives for Biogas in Europe; Oxford Institute for Energy Studies: Oxford, UK, 2012. [Google Scholar] [CrossRef] [Green Version]
  6. IEA. Outlook for Biogas and Biomethane: Prospects for Organic Growth. 2020. Available online: https://www.iea.org/reports/outlook-for-biogas-and-biomethane-prospects-for-organic-growth/ (accessed on 5 May 2020).
  7. IEA. The Role of Gas in Today’s Energy Transitions. Paris. 2019. Available online: https://www.iea.org/reports/the-role-of-gas-in-todays-energy-transitions/ (accessed on 5 May 2020).
  8. Pfau, S.F.; Hagens, J.E.; Dankbaar, B. Biogas between Renewable Energy and Bio-Economy Policies—Opportunities and Constraints Resulting from a Dual Role. Energy Sustain. Soc. 2017, 7, 1–15. [Google Scholar] [CrossRef] [Green Version]
  9. Purkus, A.; Gawel, E.; Szarka, N.; Lauer, M.; Lenz, V.; Ortwein, A.; Tafarte, P.; Eichhorn, M.; Thrän, D. Contributions of Flexible Power Generation from Biomass to a Secure and Cost-Effective Electricity Supply—A Review of Potentials, Incentives and Obstacles in Germany. Energy Sustain. Soc. 2018, 8, 1–21. [Google Scholar] [CrossRef]
  10. Thrän, D.; Dotzauer, M.; Lenz, V.; Liebetrau, J.; Ortwein, A. Flexible bioenergy supply for balancing fluctuating renewables in the heat and power sector—A review of technologies and concepts. Energy Sustain. Soc. 2015, 5, 1–15. [Google Scholar] [CrossRef] [Green Version]
  11. Budzianowski, W.M.; Postawa, K. Renewable energy from biogas with reduced carbon dioxide footprint: Implications of applying different plant configurations and operating pressures. Renew. Sustain. Energy Rev. 2017, 68, 852–868. [Google Scholar] [CrossRef]
  12. GCC-STAT. GCC Statistical Center [WWW Document]. 2021. Available online: https://www.gccstat.org/ (accessed on 28 April 2021).
  13. IRENA. Data & Statistics [WWW Document]. 2021. Available online: https://www.irena.org/Statistics (accessed on 24 August 2020).
  14. Alsheyab, M.; Kusch-Brandt, S. Potential Recovery Assessment of the Embodied Resources in Qatar’s Wastewater. Sustainability 2018, 10, 3055. [Google Scholar] [CrossRef] [Green Version]
  15. Abushammala, M.F.M.; Qazi, W.A.; Azam, M.H.; Mehmood, U.A.; Al-Mufragi, G.A.; Alrawahi, N.A. Generation of electricity from biogas in Oman. In Proceedings of the 2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016, Muscat, Oman, 15–16 March 2016; Institute of Electrical and Electronics Engineers Inc.: New York, NY, USA, 2016; pp. 241–243. [Google Scholar] [CrossRef]
  16. Radeef, W.; Shanableh, A.; Semreen, M.; Saadoun, I. Extraction Solvent’s Effect on Biogas Production from Mixtures of Date Seed and Wastewater Sludge. In Proceedings of the International Conference on Advances in Sustainable Construction Materials & Civil Engineering Systems (ASCMCES-17), Sharjah, United Arab Emirates, 18–20 April 2017; Shanableh, A., Maalej, M., Barakat, S., Omar, M., Al-Toubat, S., Al-Ruzouq, R., Hamad, K., Eds.; EDP Sciences: Les Ulis, France, 2017. [Google Scholar] [CrossRef] [Green Version]
  17. Khan, M.; Kaneesamkandi, Z. Biodegradable waste to biogas: Renewable energy option for the Kingdom of Saudi Arabia. Int. J. Innov. Appl. Stud. 2013, 4, 101–113. [Google Scholar]
  18. Ashraf, M.T.; Fang, C.; Bochenski, T.; Cybulska, I.; Alassali, A.; Sowunmi, A.; Farzanah, R.; Brudecki, G.P.; Chaturvedi, T.; Haris, S.; et al. Estimation of bioenergy potential for local biomass in the United Arab Emirates. J. Food Agric. 2016, 28, 99–106. [Google Scholar] [CrossRef]
  19. Rehan, M.; Gardy, J.; Demirbas, A.; Rashid, U.; Budzianowski, W.M.; Pant, D.; Nizami, A.S. Waste to biodiesel: A preliminary assessment for Saudi Arabia. Bioresour. Technol. 2018, 250, 17–25. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Ferella, F.; Broeke, L.J.P. An integrated approach for the generation of renewable energy from biomass and waste streams. In Proceedings of the 10th Conference on Sustainable Development of Energy, Water and Environment Systems, Dubrovnik, Croatia, 27 September–2 October 2015. [Google Scholar]
  21. Das, P.; Khan, S.; Abdul Quadir, M.; Thaher, M.; Waqas, M.; Easa, A.; Attia, E.S.M.; Al-Jabri, H. Energy recovery and nutrients recycling from municipal sewage sludge. Sci. Total Environ. 2020, 715, 136775. [Google Scholar] [CrossRef] [PubMed]
  22. Gomaa, M.A.; Abed, R.M.M. Potential of fecal waste for the production of biomethane, bioethanol and biodiesel. J. Biotechnol. 2017, 253, 14–22. [Google Scholar] [CrossRef]
  23. Hussain, H.J.; Sebzali, M.J. Modeling of Municipal Solid Waste Incineration Plant for Electricity Generation in Kuwait. Int. J. Sustain. Water Environ. Syst. 2016, 8, 65–69. [Google Scholar] [CrossRef]
  24. AlNouss, A.; McKay, G.; Al-Ansari, T. Production of syngas via gasification using optimum blends of biomass. J. Clean. Prod. 2020, 242, 118499. [Google Scholar] [CrossRef]
  25. Liu, Z.; Mayer, B.K.; Venkiteshwaran, K.; Seyedi, S.; Raju, A.S.K.; Zitomer, D.; McNamara, P.J. The state of technologies and research for energy recovery from municipal wastewater sludge and biosolids. Curr. Opin. Environ. Sci. Health 2020, 14, 31–36. [Google Scholar] [CrossRef]
  26. Tyagi, V.K.; Lo, S.L. Sludge: A waste or renewable source for energy and resources recovery? Renew. Sustain. Energy Rev. 2013, 25, 708–728. [Google Scholar] [CrossRef]
  27. Cao, Y.; Pawłowski, A. Sewage sludge-to-energy approaches based on anaerobic digestion and pyrolysis: Brief overview and energy efficiency assessment. Renew. Sustain. Energy Rev. 2012, 16, 1657–1665. [Google Scholar] [CrossRef]
  28. Elalami, D.; Carrere, H.; Monlau, F.; Abdelouahdi, K.; Oukarroum, A.; Barakat, A. Pretreatment and co-digestion of wastewater sludge for biogas production: Recent research advances and trends. Renew. Sustain. Energy Rev. 2019, 114, 109287. [Google Scholar] [CrossRef]
  29. Jingura, R.M.; Kamusoko, R. Methods for determination of biomethane potential of feedstocks: A review. Biofuel Res. J. 2017, 4, 573–586. [Google Scholar] [CrossRef]
  30. Symons, G.E.; Buswell, A.M. The Methane Fermentation of Carbohydrates. J. Am. Chem. Soc. 1933, 55, 2028–2036. [Google Scholar] [CrossRef]
  31. McCarty, L.P. Energetics of organic matter degradation. Water Microbiol. 1972, 91–118. [Google Scholar]
  32. Godin, B.; Mayer, F.; Agneessens, R.; Gerin, P.; Dardenne, P.; Delfosse, P.; Delcarte, J. Biochemical methane potential prediction of plant biomasses: Comparing chemical composition versus near infrared methods and linear versus non-linear models. Bioresour. Technol. 2015, 175, 382–390. [Google Scholar] [CrossRef]
  33. Weiland, P. Biogas Production: Current State and Perspectives. Appl. Microbiol. Biotechnol. 2010, 85, 849–860. [Google Scholar] [CrossRef] [PubMed]
  34. Angelidaki, I.; Sanders, W. Assessment of the anaerobic biodegradability of macropollutants. Rev. Environ. Sci. Biotechnol. 2004, 3, 117–129. [Google Scholar] [CrossRef]
  35. Korres, N.E.; Kiely, P.O.; Jonathan, S.W.; Benzie, J.A.H. Bioenergy Anaerobic by Digestion and Wastes: Using Agricultural Biomass and Organic Wastes, 1st ed.; Routledge, Taylor & Francis Group: London, UK, 2013. [Google Scholar]
  36. Kwietniewska, E.; Tys, J. Process characteristics, inhibition factors and methane yields of anaerobic digestion process, with particular focus on microalgal biomass fermentation. Renew. Sustain. Energy Rev. 2014, 34, 491–500. [Google Scholar] [CrossRef]
  37. Khalid, A.; Arshad, M.; Anjum, M.; Mahmood, T.; Dawson, L. The anaerobic digestion of solid organic waste. Waste Manag. 2011, 31, 1737–1744. [Google Scholar] [CrossRef]
  38. Hafner, S.D.; Koch, K.; Carrere, H.; Astals, S.; Weinrich, S.; Rennuit, C. Software for biogas research: Tools for measurement and prediction of methane production. SoftwareX 2018, 7, 205–210. [Google Scholar] [CrossRef]
  39. Rittmann, B.E.; McCarty, P.L. Environmental Biotechnology: Principles and Applications; McGraw-Hill Education: Boston, MA, USA, 2001. [Google Scholar]
  40. Hafner, S.D.; Rennuit, C. Predicting Methane and Biogas Production with the Biogas Package. 2019. Available online: https://cran.r-project.org/web/packages/biogas/vignettes/predBg_function.pdf/ (accessed on 17 June 2021).
  41. SCAD. Statistics Centre Abu Dhabi [WWW Document]. In Water Stat.; 2019. Available online: https://www.scad.gov.ae/ (accessed on 28 April 2021).
  42. Balkhair, K.S.; Ashraf, M.A. Field accumulation risks of heavy metals in soil and vegetable crop irrigated with sewage water in western region of Saudi Arabia. Saudi J. Biol. Sci. 2016, 23, S32–S44. [Google Scholar] [CrossRef] [Green Version]
  43. Baawain, M.S.; Al-Omairi, A.; Choudri, B.S. Characterization of domestic wastewater treatment in Oman from three different regions and current implications of treated effluents. Environ. Monit. Assess. 2014, 186, 2701–2716. [Google Scholar] [CrossRef]
  44. PSA. Qatar Planning and Statistics Authority—Water Statistics [WWW Document]. 2019. Available online: https://www.psa.gov.qa/ (accessed on 28 April 2021).
  45. MPW. Ministry of Public Works (Kuwait) [WWW Document]. 2019. Available online: https://www.mpw.gov.kw/ (accessed on 28 April 2021).
  46. CSB. Statistics of the Environment [WWW Document]. In Cent. Stat. Bur.; 2019. Available online: https://www.csb.gov.kw/ (accessed on 20 July 2020).
  47. Filer, J.; Ding, H.H.; Chang, S. Biochemical methane potential (BMP) assay method for anaerobic digestion research. Water 2019, 11, 921. [Google Scholar] [CrossRef] [Green Version]
  48. Kabouris, J.C.; Tezel, U.; Pavlostathis, S.G.; Engelmann, M.; Todd, A.C.; Gillette, R.A. The Anaerobic Biodegradability of Municipal Sludge and Fat, Oil, and Grease at Mesophilic Conditions. Water Environ. Res. 2008, 80, 212–221. [Google Scholar] [CrossRef] [PubMed]
  49. US EPA. Emission Factors for Greenhouse Gas Inventories. 2021. Available online: https://www.epa.gov/sites/default/files/2021-04/documents/emission-factors_apr2021.pdf/ (accessed on 17 June 2021).
  50. Chow, W.L.; Chong, S.; Lim, J.W.; Chan, Y.J.; Chong, M.F.; Tiong, T.J.; Chin, J.K.; Pan, G.T. Anaerobic co-digestion of wastewater sludge: A review of potential co-substrates and operating factors for improved methane yield. Processes 2020, 8, 39. [Google Scholar] [CrossRef] [Green Version]
  51. Thanikal, J.; Torrijos, M.; Sousbie, P.; Rizwan, S.; Kumar, R.; Yazidi, H. Municipal sewage sludge as co-substrate in anaerobic digestion of vegetable waste and biogas yield. In Proceedings of the IWA Conference on Small Water and Wastewater Systems and Resources Oriented Sanitation, Muscat, Oman, 2 November 2014. [Google Scholar]
  52. Merzari, F.; Langone, M.; Andreottola, G.; Fiori, L. Methane production from process water of sewage sludge hydrothermal carbonization. A review. Valorising sludge through hydrothermal carbonization. Crit. Rev. Environ. Sci. Technol. 2019, 49, 947–988. [Google Scholar] [CrossRef]
  53. Catenacci, A.; Azzellino, A.; Malpei, F. Development of statistical predictive models for estimating the methane yield of Italian municipal sludges from chemical composition: A preliminary study. Water Sci. Technol. 2019, 79, 435–447. [Google Scholar] [CrossRef] [PubMed]
  54. Wilson, A.M.; Salloway, J.C.; Wake, C.P.; Kelly, T. Air Pollution and the Demand for Hospital Services: A Review. Environ. Int. 2004, 30, 1109–1118. [Google Scholar] [CrossRef]
  55. Ajeej, A.; Thanikal, J.V.; Narayanan, C.M.; Kumar, R.S. An overview of bio augmentation of methane by anaerobic co-digestion of municipal sludge along with microalgae and waste paper. Renew. Sustain. Energy Rev. 2015, 50, 270–276. [Google Scholar] [CrossRef]
  56. Anjum, M.; Kumar, R.; Al-Talhi, H.A.; Mohamed, S.A.; Barakat, M.A. Valorization of biogas production through disintegration of waste activated sludge using visible light ZnO-ZnS/Ag2O-Ag2S photocatalyst. Process Saf. Environ. Prot. 2018, 119, 330–339. [Google Scholar] [CrossRef]
  57. Anjum, M.; Al-Makishah, N.H.; Barakat, M.A. Wastewater sludge stabilization using pre-treatment methods. Process Saf. Environ. Prot. 2016, 102, 615–632. [Google Scholar] [CrossRef]
  58. IRENA. Biogas for Road Vehicles: Technology Brief. Abu Dhabi. 2018. Available online: https://www.irena.org/publications/2017/Mar/Biogas-for-road-vehicles-Technology-brief/ (accessed on 1 January 2021).
  59. Ullah Khan, I.; Hafiz Dzarfan Othman, M.; Hashim, H.; Matsuura, T.; Ismail, A.F.; Rezaei-Dasht Arzhandi, M.; Wan Azelee, I. Biogas as a Renewable Energy Fuel—A Review of Biogas Upgrading, Utilisation and Storage. Energy Convers. Manag. 2017, 150, 277–294. [Google Scholar] [CrossRef]
  60. Fraunhofer ISE. Levelized Cost of Electricity Renewable Energy Technologies. Freiburg, Germany. 2018. Available online: https://www.ise.fraunhofer.de/en/publications/studies/cost-of-electricity.html/ (accessed on 1 January 2021).
Figure 1. GCC wastewater influent. Data source [12].
Figure 1. GCC wastewater influent. Data source [12].
Applsci 11 10275 g001
Table 1. Electrical power generation in the GCC region by energy type (GWh). Data source (GCC-STAT, 2021).
Table 1. Electrical power generation in the GCC region by energy type (GWh). Data source (GCC-STAT, 2021).
Crude and OilNatural GasWindSolarBioenergyTotal
Renewables
2014221,872369,3893374121497
2015241,053398,1213379121503
2016208,611443,7961455121577
2017189,219486,0882416261211078
2018175,439509,6152416101211770
Table 2. GCC wastewater characteristics.
Table 2. GCC wastewater characteristics.
Wastewater Influent
2019 (106 m3/year) a
COD Influent
mg/L
COD Effluent
mg/L
BOD/CODCOD Loading
103 Tonnes
UAE771452 b22 b0.44 b348
Bahrain154----
KSA3083533 c24 c0.60 c1642
Oman95583 d24 d0.51 d56
Qatar278441 e-0.41 f123 f
Kuwait334442 g29 g0.46 g147
a—[12], b—[41], c—[42], d—[43], e—[14], f—[44], g—[45].
Table 3. Dry wastewater sludge characteristics for Kuwait.
Table 3. Dry wastewater sludge characteristics for Kuwait.
ParameterMeanStandard
Deviation
Unit
pH6.420.4
Moisture7.10.5%
Ash51.53.7%
Conductance10,27715.2µmho/cm
Alkalinity81843.1mg/L
T.O.C201,71914,666µg/g
T.C236,09636,938μg/g
Carbon24.23% d.m.
Hydrogen4.60.9% d.m.
Oxygen14.82.4% d.m
Nitrogen4.20.5% d.m.
Sulfur0.90.08% d.m.
C/N6.5
Calcium27,560210mg/Kg
Copper38915mg/Kg
Iron14,600511mg/Kg
Manganese9694377mg/Kg
Zinc82620mg/Kg
C.O.D6695203.9mg/Kg
H.H.V9.40.8MJ/Kg
Empirical formula *C7H15O3N
Mass158 × 103 Tonne/year
* The empirical formula was calculated using a mass composition (C,H,O,N) data approach.
Table 4. Biogas production per gram of COD and sludge (substrate) at standard conditions at 0 °C and 1.0 atm.
Table 4. Biogas production per gram of COD and sludge (substrate) at standard conditions at 0 °C and 1.0 atm.
CH4 (mL/g)CO2 (mL/g)Biogas (mL/g)CO2 (g/g)
COD144.33---
C7H15O3N100.239.3139.50.09
Table 5. Biomethane estimates for GCC states.
Table 5. Biomethane estimates for GCC states.
Wastewater Influent
2019 (106 m3/Year)
COD Loading
103 Tonne
CH4 (103 m3) C7H15O14NCH4 (103 m3) COD
UAE77134834,87050,227
Bahrain154---
KSA30831642164,528236,991
Oman955656118083
Qatar27812312,32517,753
Kuwait33414714,72921,217
Total47152316232,063334,268
Table 6. Electrical power and desalinated water production from Biomethane.
Table 6. Electrical power and desalinated water production from Biomethane.
Electricity Generation (GWh)Freshwater Production (106 m3)
Electricity
From CH4
Current
Renewables
Percent Increase
from CH4
Freshwater
From CH4
Percent Increase
from CH4
UAE172–250131513–19%31–454–6%
Bahrain090%0
KSA812–1177219373–537%148–2145–7%
Oman27–4016175–276%4–85–8%
Qatar61–8812350–72%11–164–6%
Kuwait50–1058888–120%13–194–6%
Total 1152–16651770 150–302
Table 7. BMP for Kuwait and the volumes fossil fuel displacements annually.
Table 7. BMP for Kuwait and the volumes fossil fuel displacements annually.
ValueUnit
Biomethane14,729103 m3
Heat content471,770mmBTU
Fuels volumes with equivalent energy content
Natural Gas12,965103 m3
Crude oil86,619bbl
Gas Oil87,885bbl
HFO84,838bbl
Table 8. Emissions comparison between using fossil fuels and biomethane in Kuwait’s power plants.
Table 8. Emissions comparison between using fossil fuels and biomethane in Kuwait’s power plants.
FuelCombustion Emissions (kg)Sludge Disposal Emission (kg)Total GHG Emissions
(M.T CO2 Equivalent)
CO2NOxCH4CH4CO2
Base scenario: Hydrocarbon combustion + sludge disposal
Natural Gas 25,032,116473429,677,21113,230,000280,218
Crude oil 35,637,5062831026290,918
Gas Oil 35,345,0082831026290,625
HFO 38,175,6282831026293,456
Alternative scenario: Biomethane combustion
Biomethane26,128,4692830013,230,00039,443
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Alshawaf, M.; Alsulaili, A.; Alwaeli, M.; Allanqawi, H. The Role of Biomethane from Sewage Sludge in the Energy Transition: Potentials and Barriers in the Arab Gulf States Power Sector. Appl. Sci. 2021, 11, 10275. https://doi.org/10.3390/app112110275

AMA Style

Alshawaf M, Alsulaili A, Alwaeli M, Allanqawi H. The Role of Biomethane from Sewage Sludge in the Energy Transition: Potentials and Barriers in the Arab Gulf States Power Sector. Applied Sciences. 2021; 11(21):10275. https://doi.org/10.3390/app112110275

Chicago/Turabian Style

Alshawaf, Mohammad, Abdalrahman Alsulaili, Mohamed Alwaeli, and Huda Allanqawi. 2021. "The Role of Biomethane from Sewage Sludge in the Energy Transition: Potentials and Barriers in the Arab Gulf States Power Sector" Applied Sciences 11, no. 21: 10275. https://doi.org/10.3390/app112110275

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