Biochemical energy recovery using digestion and co-digestion of faecal matter collected from urine diverting dehydrating toilet faeces (UDDT-F) and mixed organic market waste (OMW) was studied under laboratory- and pilot-scale conditions. Laboratory-scale biochemical methane potential (BMP) tests showed an increase in methane production with an increase in OMW fraction in the feed substrate. In subsequent pilot-scale experiments, one-stage and two-stage plug flow digester were researched, applying UDDT-F:OMW ratios of 4:1 and 1:0, at about 10 and 12% total solids (TS) slurry concentrations. Comparable methane production was observed in one-stage (Ro-4:1,12%) (314 ± 15 mL CH4/g VS added) and two-stage (Ram-4:1,12%) (325 ± 12 mL CH4/g VS added) digesters, when applying 12% TS slurry concentration. However, biogas production in Ram-4:1,12% digester (571 ± 25 mL CH4/g VS added) was about 12% higher than in Ro-4:1,12%, significantly more than the slight difference in methane production, i.e. 3–4%. The former was attributed to enhanced waste solubilisation and increased CO2 dissolution, resulting from mixing the bicarbonate-rich methanogenic effluent for neutralisation purposes with the low pH (4.9) influent acquired from the pre-acidification stage. Moreover, higher process stability was observed in the first parts of the plug flow two-stage digester, characterised by lower VFA concentrations.

As an innovative solution to enhance sanitary conditions in informal settlements in low income countries, urine diverting dehydrating toilets (UDDTs) have been adopted (Austin & Cloete 2008; Niwagaba et al. 2009a; Schouten & Mathenge 2010; Katukiza et al. 2012). Such is also the approach adopted by Sanergy, a social enterprise working on sanitation improvement within informal slum settlements, in Nairobi, Kenya. Sanergy fabricates and installs the Fresh Life© toilets in collaboration with entrepreneurs in the slums who maintain them. Currently, approximately 7,000 kg of faeces is collected from the UDDTs, further referred to as UDDT-F, and delivered to a central treatment plant on a daily basis. Owing to the high pathogenic levels in human waste (Feachem et al. 1983), an extra pathogen inactivation step is required especially when the faecal matter will be valorised for agricultural purposes. A number of different treatment technologies were developed for source separated human faeces and include plain storage, composting, black soldier flies, chemical treatment, vermi-composting and anaerobic digestion (AD) (Vinnerås 2007; Niwagaba et al. 2009b; Rajagopal et al. 2013; Strande et al. 2014; Fagbohungbe et al. 2015). The main treatment technology applied by Sanergy for UDDT-F is composting, producing an end product that is sold as organic manure (Evergrow@), available on the Kenyan market. Moreover, the increasing amount of collected UDDT-F on a daily basis sparked a need for diversification of the treatment options.

The potential for application of AD at any scale and almost any place (Van Lier et al. 2008; Pabón-Pereira et al. 2014), marked the decision to select AD as a faecal waste treatment option in informal slum settlements. In addition, by means of AD, the chemically stored bio-energy in the organic waste can be recovered as biogas, providing an alternative fuel for local use (Abbasi et al. 2012). AD is considered an efficient technology for the stabilisation of organic wastes, producing a digestate with a high fertiliser value (Berndes et al. 2003; Martín-González et al. 2010; Park et al. 2016). The key reported drawback in AD is inadequate pathogen inactivation (Kunte et al. 2000; Chaggu 2004; Horan et al. 2004; Massé et al. 2011; Chen et al. 2012; Fagbohungbe et al. 2015) and low methane production especially from human faecal matter (Rajagopal et al. 2013; Fagbohungbe et al. 2015). It must be noted that the microbiological safety of the digestate and treated sludge is essential as it has implications for human health and cycling of pathogens in a densely populated environment through the food chain (Avery et al. 2014). As such, this study is part of a wider research on the potentials for the anaerobic stabilisation of UDDT-F, enhancing biogas production and pathogen inactivation, with the present paper focusing on the production of another side-product next to hygienised sludge, i.e. biogas.

In our previous study, we evaluated the accumulation of volatile fatty acids and their effect on pathogen inactivation during the digestion of UDDT-F and mixtures of UDDT-F and organic market waste (OMW) in a one- and two-stage plug flow anaerobic digester (Riungu et al. 2018b). Results showed higher pathogen inactivation in the two-stage plug flow digester, with the digestate meeting WHO standards of 1,000 CFU/100 mL, applying a solids retention time (SRT) of 29 days. The used OMW, widely available and at close proximity to UDDT-F source, is characterised by a vast readily degradable organic fraction (Zhang et al. 2008; Riungu et al. 2018a). In addition to sludge hygienisation, the production of an alternative fuel (biogas) from the faecal matter will very likely accelerate the acceptance of the proposed technology. As such, the research described herein focused on the potential for biogas production during anaerobic stabilisation of UDDT-F using laboratory-scale biochemical methane potential (BMP) tests and pilot-scale plug flow one- and two-stage anaerobic digesters. Under pilot-scale experiments one-stage and two-stage plug flow digesters were researched, applying UDDT-F:OMW ratios of 4:1 and 1:0, at about 10 and 12% total solids (TS) slurry concentrations.

Materials

UDDT-F waste samples

UDDT-F samples used for this study were obtained from the Fresh Life® UDDT within Mukuru Kwa Njenga/Mukuru Kwa Reuben informal slum settlement, Kenya. Fresh Life@ toilets are offered on a pay-and-use basis in the form of serviced shared facilities, charging between 0.05–0.1 euros per use. Within each toilet facility, a 30L container is used for waste collection, with approximately 10g sawdust added by the user after every toilet use. The toilets are emptied on a daily basis, where used containers are replaced by clean ones. Five containers with UDDT-F were randomly selected after which mixing of the contents was done in order to obtain a homogeneous mix.

Organic market waste samples

OMW was collected from vegetable vendors, eating points and waste disposal points within Mukuru Kwa Njenga and Mukuru Kwa Reuben informal slum settlements. About 20kg of the waste was collected and contained food waste, vegetable waste and fruit waste, in equal proportions. Size reduction was achieved by manual chopping to about 1cm size for pilot-scale test substrates whereas samples for laboratory-scale tests were blended using Ramton© domestic blender for 1 minute. Table 1 shows the characteristics of the UDDT-F and OMW that was used in the study. After collection the waste was refrigerated at 4 °C to minimise bioconversion of the samples prior to testing.

Table 1

Characterisation of urine diverting dehydrating toilets waste and mixed organic market waste used in the study (Riungu et al. 2018a)

UDDT-F
OMW
ValueSTDEVValueSTDEV
Total solids (TS) (%) 24.5 3.8 17.9 1.6 
Moisture content (%) 75.5 3.8 80.7 4.1 
Volatile solids (VS) (% wgt) 20.1 3.5 16.9 4.4 
Total organic carbon (TOC) (g C/g TS) 64.4 7.7 54 4.3 
Chemical oxygen demand (COD)Total (g COD/g TS) 195.3 5.9 139.6 10.1 
Escherichia coli (E. coli(CFU/g TS) 1.7 × 109 5.3 × 108 2.7 × 105 7.4 × 104 
Ascaris eggs  Not detected  Not detected  
UDDT-F
OMW
ValueSTDEVValueSTDEV
Total solids (TS) (%) 24.5 3.8 17.9 1.6 
Moisture content (%) 75.5 3.8 80.7 4.1 
Volatile solids (VS) (% wgt) 20.1 3.5 16.9 4.4 
Total organic carbon (TOC) (g C/g TS) 64.4 7.7 54 4.3 
Chemical oxygen demand (COD)Total (g COD/g TS) 195.3 5.9 139.6 10.1 
Escherichia coli (E. coli(CFU/g TS) 1.7 × 109 5.3 × 108 2.7 × 105 7.4 × 104 
Ascaris eggs  Not detected  Not detected  

Inoculum

Inoculum for the AD experiments used in this study was obtained from an onsite fixed dome anaerobic digester within Kibera informal settlement, Kenya. The bio-centre was erected by Umande Trust, a non-governmental organisation (https://umande.org/) and managed in partnership with a community-based organisation, Kibera Kids Youth Organisation (KIDYOT). The inoculum upon collection was incubated for 1 week to methanise any organic matter before use.

Experimental setup

Laboratory-scale BMP test

BMP test experiments were performed to access methane production during anaerobic stabilisation of faecal waste. Three substrate ratios, based on our previous study (Riungu et al. 2018a), that investigated the effect of volatile fatty acids (VFAs) on pathogen inactivation were applied; UDDT-F:OMW ratios 1:0, 4:1 and 0:1. An inoculum to substrate ratio of 2:1 (Zeng et al. 2010) was used, maintaining approximately 1.5 g volatile solids (VS)/100 mL solution, based on initial VS concentration of inoculum and substrate.

Batch digestion experiments were conducted in triplicate using 100 mL glass serum vials (80 mL working volume). After adding the required amounts of substrate and inoculum in each serum vial, basic anaerobic medium (BAM) was added according to Angelidaki et al. (2009) (Table 2), in addition to 1 g/L sodium carbonate buffer. Hereafter, tap water was added to a volume of 80 mL. The vials were sealed with butyl rubber stoppers and flushed with argon gas for 30 seconds to purge out oxygen. The vials were incubated at 35(±1) °C for 30 days, with manual mixing. Triplicate blanks that contained inoculum and BAM were incubated in order to correct for gas production from the inoculum. Gas pressure in the digesters was measured regularly with a digital pressure meter model GMH 3150 (Greisinger, Germany) utilising a sensor model MSD 4 BAE with a resolution of 1 mbar.

Table 2

Nutrients applied for BMP test

Composition (g/L)Dose (mL/L)Composition (g/L)Dose (mL/L)
Macronutrients 
 NH4Cl 170    
 KH2PO4 37    
 CaCl22H2   
 MgSO4.4H2   
Trace elements and micronutrients 
 FeCl3.4H2Resazurine 0.5 
 ZnCl2 0.05 HCl (36%) 1 mL/L 
 H3BO3 0.05 EDTA 
 CuCl2.2H20.03 NiCl2.6H20.05 
 MnCl2.4H20.5 Na2SeO3.5H20.1 
 CoCl2.6H2Yeast extract 0.1 
 (NH4)6Mo7O24.4H20.09 NaC2H3O2 − 3H21 g COD/L 1 g COD/L 
Composition (g/L)Dose (mL/L)Composition (g/L)Dose (mL/L)
Macronutrients 
 NH4Cl 170    
 KH2PO4 37    
 CaCl22H2   
 MgSO4.4H2   
Trace elements and micronutrients 
 FeCl3.4H2Resazurine 0.5 
 ZnCl2 0.05 HCl (36%) 1 mL/L 
 H3BO3 0.05 EDTA 
 CuCl2.2H20.03 NiCl2.6H20.05 
 MnCl2.4H20.5 Na2SeO3.5H20.1 
 CoCl2.6H2Yeast extract 0.1 
 (NH4)6Mo7O24.4H20.09 NaC2H3O2 − 3H21 g COD/L 1 g COD/L 

Pilot-scale AD experiments

Pilot-scale substrate selection was based on a series of laboratory-scale batch-tests derived from previous experimental data (Riungu et al. 2018a) applying UDDT-F:OMW ratios of 4:1 and 1:0. In addition, research aimed at treating the highest possible substrate's TS concentration that can freely flow through the plug flow digester without the necessity of using pumps. As such, 12% TS was chosen as the highest substrate TS concentration with additional experiments at 10% TS for assessing the impact of lower TS concentrations on biogas production.

Two sets of digesters were used, namely a one-stage digester (Ro) and a two-stage digester (Ram) comprising a hydrolysis/acidogenic digester (Ra) and a methanogenic digester (Rm).

Hydrolysis digester

The hydrolysis digesters (Ra) were fabricated from 30 L plastic containers, with a working volume of 20 L. These digesters were equipped with a cover, incorporated with two separate ports, i.e. a feeding port and a port fixed with a manual stirring mechanism, whereas the bottom of each digester was equipped with a discharge/effluent valve.

Plug flow digester

Six plug flow digesters (Figure 1) were constructed using 175 L tubular polyethylene bags, with polyethylene material thickness being 0.2 mm. The digesters had a liquid capacity of 145 L, with up to 30 L available for in-vessel biogas storage. The majority of biogas produced flowed by pressure to a 175 L biogas storage bag that was installed directly above each digester. In addition, three separate ports were incorporated onto each bag: inlet port (SP1); sampling port (SP2) at 0.7 m digester length; a gas discharge port at 1.4 m digester length; and effluent/discharge port (SP3) at 2.1 m digester length. A total SRT of 29 days was maintained for the AD process.

Figure 1

Plug flow digester layout; digesters on the floor, biogas collection bags directly above; sampling points at different length of the digester are indicated as SP1, SP2 and SP3, respectively.

Figure 1

Plug flow digester layout; digesters on the floor, biogas collection bags directly above; sampling points at different length of the digester are indicated as SP1, SP2 and SP3, respectively.

Close modal

Plug flow digester start-up and operation in one- and two-stage AD

Digesters were inoculated using the inoculum described above under ‘Inoculum’. The six plug flow digesters D1, D2, D3, D4, D5 and D6, were divided into two groups, D1-D3-D5 and D2-D4-D6, referring to one-stage digestion of UDDT-F:OMW ratio 1:0 at 12% TS (Ro-1:0,12%) and UDDT-F:OMW ratio 1:0 at 10% TS (Ro-1:0,10%), respectively. Every morning, 5 L/day of the substrate was fed to the respective digesters. Stabilisation of the digesters was achieved after 6 weeks, and sample collection and analysis commenced and continued for a further 8 weeks.

The impact of co-digestion on biogas production and organic matter stabilisation was assessed by applying both one- and two-stage digesters, utilising a UDDT-F:OMW ratio of 4:1 at 12% TS, i.e. Ro-4:1,12% and Ram-4:1,12%, respectively. In these experiments, the six plug flow digesters were also divided into two treatments groups, where digesters D1-D3-D5 consisted of the two-stage Ram-4:1,12% digesters and digesters D2-D4-D6 comprised the one-stage Ro-4:1,12% digesters. Every morning, 5 L of feed substrate was fed into the one- and two-stage digesters, with feed substrate being prepared as follows: (1) One-stage: freshly prepared UDDT-F:OMW ratio of 4:1 at 12% TS concentration, (2) Two-stage: Hydrolysis/acidogenic (Ra) digester effluent acted as influent to the methanogenic digesters (Rm). The pH of Ra effluent (4.9 ± 0.1) was adjusted by titration using two-stage (Ram) digester effluent to a range of 5.8–6.2 prior to feeding it to the Rm digesters. For all digesters, stabilisation of biogas production was achieved after two months when data collection commenced. Finally, the concentration of the feed into Ro-4:1,12% was reduced to 10% TS.

Samples from experiments were taken on a weekly basis for analysis of TS and volatile solids (VS), whereas biogas and methane analysis was carried out on a daily basis over the entire experimental period.

Analytical procedures

Biogas production in laboratory-scale BMP vials was determined by measuring the pressure increase in the headspace volume (20 mL) using a digital pressure meter model GMH 3150 (Greisinger, Germany) utilising a sensor model MSD 4 BAE with a resolution of 1 mbar. The volumetric biogas production was calculated from the assessed pressure increase and expressed under standard temperature and pressure (STP, 0 °C and 760 mm Hg) according to the following equation (Pabon Pereira et al. 2012):
(1)
where P is biogas pressure in the vial (kPa); is digester headspace volume (L); is molar gas volume at 308 K (L/mol); R is the universal gas constant (8.31 kPa L/mol K) and T is temperature (K).

The net gas production for calculating the BMP values was obtained by subtracting the gas production of the blank samples.

Biogas flow measurements in the pilot-scale digesters were performed using American Meter Company gas flow meters (Model AC-250) with IMAC Systems pulse digital counters and a vacuum pump.

Determination of methane content in biogas in laboratory- and pilot-scale experiments was performed by liquid displacement method. Herein, a known amount of biogas was passed through a 5% sodium hydroxide solution to strip CO2. Under laboratory-scale BMP test, methane measurement was carried out twice a week while in pilot-scale test, methane measurement was done once a day. In this approach the quantity of H2S in the biogas is considered negligible.

The percentage methane fraction in biogas was obtained by:
(2)
Methane production was then calculated by multiplying the mean corrected biogas volume produced in a specified time lapse by the assessed average percentage methane content in the biogas, whereas methane yields were obtained by dividing the total methane volume produced in the specified time lapse by the weight of the substrate (VSadded (in g)) fed to the plug flow digesters in the same time lapse, according to the following equation:
(3)
where % CH4: fraction of methane in biogas; V′ biogas is the volume of biogas produced on the substrate; V′′ biogas is the volume of biogas produced by the blank; and VS is volatile solids added (g).

TS and volatile solids (VS) analysis were conducted according to the gravimetric method (SM-2540D and SM-2540E), as outlined in Standard Methods for the Examination of Water and Wastewater (APHA 1995).

Data analysis

Bivariate Pearson's correlation test was used to assess trends in methane production from individual digesters within a given experiment. From each of the three trials, the data obtained was analysed by computing the averages, standard deviations and standard errors. Results obtained were presented either in table or figure form.

Methane production in batch-scale BMP tests

Figure 2 shows cumulative methane produced against time for UDDT-F:OMW ratios 1:0, 4:1 and 0:1. Highest methane production was recorded within the first 10 days of the experiment, with UDDT-F:OMW ratio 0:1 attaining 45.8 mL CH4/g VS added/day (Figure 2) whereas UDDT-F:OMW ratios 1:0 and 4:1 depicted 27.3 and 17.1 mL CH4/g VS added/day respectively. After the 10th day, a decline in methane production was observed up to the 30th day of the experiment.

Figure 2

Cumulative methane production against time in anaerobic digestion of UDDT-F ratios 1:0, 4:1 and 0:1.

Figure 2

Cumulative methane production against time in anaerobic digestion of UDDT-F ratios 1:0, 4:1 and 0:1.

Close modal

Overall, 271 ± 13, 315 ± 26 and 521 ± 36 mL CH4/g VSadded was recorded from UDDT-F:OMW ratios 1:0, 4:1 and 0:1 respectively (Figure 2). An average of about 0.26–0.30 L CH4/g VSadded has been reported in batch-scale BMP assays of black water (Rajagopal et al. 2013), and about 250 mL CH4/g VSadded in AD of human faecal material (faeces + urine) (Fagbohungbe et al. 2015). The findings showed an increasing trend in biogas production with the increase in OMW fraction within the feed substrate, which is congruent to the observed higher VFA build-up at increasing OMW fractions in our previous work (Riungu et al. 2018a). The produced VFA was subsequently converted to biogas. In practical situations where biogas generation is the main driver for implementing AD, the use of OMW as sole substrate may lead to excessive VFA build-up and subsequent system acidification (Angeriz-Campoy et al. 2015; Riungu et al. 2018a). In our previous work, pH levels declined to below 4 at UDDT-F:OMW ratios lower than 1:2, inhibiting methanogenic activity. In general, OMW is carbohydrate rich, has a high C/N ratio and is easily hydrolysable (Gómez et al. 2006; Lim et al. 2008), in addition to containing appreciable amounts of fats that are easily hydrolysable to long chain fatty acids (Silva et al. 2014; Angeriz-Campoy et al. 2015). As such, in co-digestion of OMW and UDDT-F, both substrates complement each other: UDDT-F is characterised by a low carbon to nitrogen ratio (Mata-Alvarez et al. 2011; Fonoll et al. 2015) and low methane production (Rajagopal et al. 2013), it provides adequate micro/macro nutrients, alkalinity and moisture content (Silvestre et al. 2015).

Pilot-scale experiments

Evaluation of methane production

The experiments evaluated the impact of digester configuration, co-digestion and substrate concentration on the accumulating methane production during an 8-week time period. All digesters showed a linear increase in accumulating methane with time (Figure 3). Overall, the obtained trend in accumulated methane production per g VS added was in the order: Ram-4:1,12% > Ram-4:1,10% > Ro-1:0,12% > Ro-1:0,12% > Ro-1:0,10%, with minimal differences between the co-digesting experiments (Figure 4). Results from bivariate Pearson's correlation test performed on triplicate samples within each experiment showed high and significant correlation in methane production within a particular experiment, all being within the range of r = 0.474**–0.840** (**correlation is significant at the 0.01 level (2-tailed)), indicating good digester progress throughout the experimental period.

Figure 3

Cumulative methane produced (L/g VS added) against time (days).

Figure 3

Cumulative methane produced (L/g VS added) against time (days).

Close modal
Figure 4

Percentage methane content in biogas during anaerobic stabilisation of UDDT-F for; two-stage digester (Ram-4:1,12% and Ram-4:1,10%) and one-stage digester (Ro-4:1,12%, Ro-1:0,12% and Ro-1:0,12%).

Figure 4

Percentage methane content in biogas during anaerobic stabilisation of UDDT-F for; two-stage digester (Ram-4:1,12% and Ram-4:1,10%) and one-stage digester (Ro-4:1,12%, Ro-1:0,12% and Ro-1:0,12%).

Close modal

The effect of digester configuration was gauged by applying a UDDT:OMW ratio of 4:1 at 12% TS in a one-stage (Ro-4:1,12%) and two-stage digester (Ram-4:1,12%). Methane production in Ro-4:1,12% and Ram-4:1,12% digester was comparable with corresponding values being 314 ± 15 and 325 ± 12 mL CH4/g VS added (Figure 4), respectively.

However, average biogas production in Ram-4:1,12% was 571 ± 25 mL CH4/g VS added and was about 12% higher than in the Ro-4:1,12% system which is significantly more than the slight difference in methane production, i.e. 3–4%. The small difference in methane production may be attributed to enhanced waste solubilisation in the two-stage digester, as reported in our previous study (Riungu et al. 2018b) and in agreement with related studies (Zuo et al. 2014; De Gioannis et al. 2017; Gaby et al. 2017). On the other hand, the observed higher biogas production in the two-stage digester likely can be ascribed to increased CO2 dissolution, resulting from mixing the bicarbonate-rich methanogenic effluent for neutralisation purposes with the low pH (4.9) influent coming from the pre-acidification stage. The latter also explains the lower CH4 content in the produced biogas in the gas bags of the two-stage digester and the higher pH in the effluent (Table 3). In the two-stage set-up, part of the produced acidity is already lost as CO2 in the pre-acidification step that was open to air, leading to a higher overall alkalinity of the methanogenic effluent compared to the one-stage process.

Table 3

Variation in VFA and pH along the digester length (adopted from Riungu et al. 2018b)

DigesterParameterSP1SP2SP3
Co-digestion UDDT-F:OMW ratio 4:1 Rm−4:1,12% TVFA (mg/L) 15,685 ± 1,772 10,526 ± 844 1,575 ± 607 
ND-VFA (mg/L) 800 ± 112 286 ± 68 1.7 ± 0.2 
ND-VFA (%) 5.1 ± 0.6 2.7 ± 0.6 0.1 
pH 6.4 ± 0.1 6.4 ± 0.1 7.8 ± 0.1 
Rm−4:1,10% TVFA (mg/L) 12,347 ± 887 8,702 ± 72 1,744 ± 101 
ND-VFA (mg/L) 660 ± 311 281 ± 49 1.6 ± 0.3 
ND-VFA (%) 3.5 ± 2 3.2 ± 0.6 0.1 
pH 6.3 ± 0.1 6.2 ± 0.1 7.8 ± 0.1 
Ro−4:1,12% TVFA (mg/L) 3,844 ± 679 12,121 ± 1,153 2,629 ± 326 
ND-VFA (mg/L) 599.4 ± 150 2,379 ± 409 5 ± 1.2 
ND-VFA (%) 15.8 ± 3.4 19.6 ± 2.8 0.2 
pH 5.4 ± 0.1 5.4 ± 0.1 7.5 ± 0.1 
DigesterParameterSP1SP2SP3
Co-digestion UDDT-F:OMW ratio 4:1 Rm−4:1,12% TVFA (mg/L) 15,685 ± 1,772 10,526 ± 844 1,575 ± 607 
ND-VFA (mg/L) 800 ± 112 286 ± 68 1.7 ± 0.2 
ND-VFA (%) 5.1 ± 0.6 2.7 ± 0.6 0.1 
pH 6.4 ± 0.1 6.4 ± 0.1 7.8 ± 0.1 
Rm−4:1,10% TVFA (mg/L) 12,347 ± 887 8,702 ± 72 1,744 ± 101 
ND-VFA (mg/L) 660 ± 311 281 ± 49 1.6 ± 0.3 
ND-VFA (%) 3.5 ± 2 3.2 ± 0.6 0.1 
pH 6.3 ± 0.1 6.2 ± 0.1 7.8 ± 0.1 
Ro−4:1,12% TVFA (mg/L) 3,844 ± 679 12,121 ± 1,153 2,629 ± 326 
ND-VFA (mg/L) 599.4 ± 150 2,379 ± 409 5 ± 1.2 
ND-VFA (%) 15.8 ± 3.4 19.6 ± 2.8 0.2 
pH 5.4 ± 0.1 5.4 ± 0.1 7.5 ± 0.1 

In the two-stage digestion set-up with digestate recycling, the chances for possible acidification in the front part of the methanogenic plug flow digester is reduced. An active methanogenic activity in the front part of Ram-4:1,12% digester as indicated by a decline in total volatile acids (TVFA) concentrations between SP1 and SP3, and their subsequent conversion to biogas (Table 3) was observed. As mentioned before, the stabilised methanogenic conditions in the early stages of the plug flow digester of the two-stage set-up were achieved by digestate or effluent recycling that re-introduces active methanogenic biomass upfront (Cavinato et al. 2011). However, the Ro-4:1,12% digester showed an increasing trend in total volatile acids (TVFA), and non-dissociated volatile acids (ND-VFA) build-up between SP1 and SP2, resulting in an acidic pH 5.4 thus indicating predominating acidogenesis in the first part of the plug flow digester (Table 3). In this digester, highest methanogenic activity was observed between SP2 and SP3, where high reduction in TVFA indicated their subsequent conversion to biogas.

The impact of co-digestion on methane production in the one-stage digestion process was assessed by applying a UDDT:OMW ratio of 4:1, at 12% TS (Ro-4:1,12%) and a UDDT:OMW ratio of 1:0, at 12% TS (Ro-1:0,12%). Methane production in Ro-4:1,12% and Ro-1:0,12% digester system was 314 ± 15 and 228 ± 19 l CH4/g VS added (Figure 5) respectively, representing a 37% increase when OMW was added. The corresponding percentage methane content in biogas in Ro-4:1,12% and Ro-1:0,12% digester system was 62.8 ± 2 and 70.0 ± 4.5% respectively. The lower CH4 content in the biogas of the co-digester comes from the OMW fraction of the feed substrate which is generally characterised by carbohydrate-rich organic matter with a somewhat higher oxidation state than the UDDT-F, which agrees with the lower COD/TOC ratio for OMW as presented in Table 1. Also, the higher methane production (in L CH4/g VS added) in Ro-4:1,12% is attributable to the highly digestible OMW fraction, reflected by the high TVFA build-up attained during the digestion process (Table 2). Intrinsically, during co-digestion, hydrolysis of OMW enhances TVFA build-up in the digestion medium (Zhang et al. 2005; Zhang et al. 2008; Riungu et al. 2018a), which is subsequently converted to biogas but may lead to subsequent system acidification (Angeriz-Campoy et al. 2015) if used as sole substrate.

Figure 5

Methane production during anaerobic stabilisation of stabilisation of UDDT-F for; two-stage digester (Ram-4:1,12% and Ram-4:1,10%) and one-stage digester (Ro-4:1,12%, Ro-1:0,12% and Ro-1:0,10%).

Figure 5

Methane production during anaerobic stabilisation of stabilisation of UDDT-F for; two-stage digester (Ram-4:1,12% and Ram-4:1,10%) and one-stage digester (Ro-4:1,12%, Ro-1:0,12% and Ro-1:0,10%).

Close modal

The potential impact of substrate concentration on methane production was investigated applying two substrate concentrations, i.e. 12 and 10% TS. These concentrations were applied in both the one-stage and two-stage plug flow digesters, at UDDT-F:OMW ratios of 1:0 and 4:1 respectively. Using both digester systems, slightly higher methane production was observed at 12% TS than 10% TS. The two-stage digesters Ram-4:1,12% produced 325 ± 12 mL CH4/g VSadded whereas the corresponding value in Ram-4:1,10% was 313 ± 17 mL CH4/g VSadded. Similarly, in the one-stage digester, Ro-1:0,12% and Ro-1:0,10% the observed methane production was 228 ± 19 mL CH4/g VS and 204 ± 22 mL CH4/g VSadded respectively. The percentage methane in the biogas of Ram-4:1,12% and Ram-4:1,10% digesters at 10 and 12% TS were 57 ± 8 and 59 ± 4%, respectively (Figure 3). Corresponding values in Ro-1:0,12% and Ro-1:0,10% digesters being 70 ± 2 and 71 ± 8% respectively. Furthermore, all digesters showed stable digestion performance with effluent pH in the one-stage digesters a bit lower compared to the two-stage digesters, i.e. 7.3–7.7 and 7.6–8.1, respectively. The average pH in the methanogenic stage is considered optimal for the methanogenic biomass, i.e. 7.5–8.1.

AD application of UDDT-F management in informal slum settlements

This study is part of a wide research seeking to enhance biogas production and pathogen inactivation from UDDT-F in high-density informal slum settlements. The key objective of the research was to maximise the amounts of UDDT-F that can be treated, while producing biogas and stabilised digestate that can be used for agricultural applications. The findings obtained in this research demonstrated the technical feasibility of AD technology in UDDT-F management. Moreover, in addition to efficient management of the waste, the produced biogas has a wide range of applications.

The possibilities of reactor failure are apparent during co-digestion, especially at increased OMW fraction due to reactor acidification. The UDDT-F:OMW ratio 4:1 adopted in this study was based on recommendations from our previous study (Riungu et al. 2018a). Increasing the OMW fraction in the feed substrate leads to rapid acidification thereby lowering the pH and increasing the ND-VFA concentration that has a toxic effect not only to pathogens but all anaerobic bacterial population, thus process failure. As such, precaution should be taken to ensure application of optimal UDDT-F:OMW ratios during co-digestion.

Results showed that co-digestion in the proposed plug-flow digester produced a low pathogen content–digestate, i.e. <1*103 CFU/100 mL (Riungu et al. 2018b)) and a biogas stream that can be used as an alternative fuel source for slum residents, delivering about 6,500 MJ/month for a bio-centre with a user load of 500 persons/day. The system presents a cost-effective solution for the many slum areas in sub-Saharan Africa: the plug-flow reactor can be assembled with locally available materials and the high population density assures a constant supply of raw materials, whereas the prevailing high temperatures ensure the system's zero energy operating requirements.

Experiments were conducted to investigate the biochemical energy recovery during digestion and co-digestion of faecal matter collected from urine diverting dehydrating toilet faeces (UDDT-F) and mixed OMW under laboratory- and pilot-scale conditions. Laboratory-scale BMP tests showed a positive correlation between methane production and increasing OMW fraction in the feed substrate.

Under pilot-scale conditions, comparable methane production was observed in one-stage (Ro-4:1,12%) (314 ± 15 mL CH4/g VS added) and two-stage (Ram-4:1,12%) (325 ± 12 mL CH4/g VS added) digesters, when applying 12% TS slurry concentration. However, biogas production in Ram-4:1,12% digester (571 ± 25 mL CH4/g VS added) was about 12% higher than in the Ro-4:1,12%, significantly more than the slight difference in methane production, i.e. 3–4%. The increased methane and biogas production was attributed to enhanced waste solubilisation and increased CO2 dissolution, resulting from mixing the bicarbonate-rich methanogenic effluent for neutralisation purposes with the low pH (4.9) influent coming from the pre-acidification stage. Moreover, compared to the one-stage reactor, higher process stability was observed in the first parts of the two-stage plug flow digester, characterised by lower VFA concentrations. The observed high VFA concentrations and acidic pH (5.4) in the first parts of one-stage digester indicate low process stability, particularly with increased OMW fractions in the feed substrate.

Within the wide research, overall findings have shown the potential application of two-stage AD technology in addressing the human waste menace, especially in high density slum settlements. The proposed system can be applied at either small or large scale, depending on available space. The treatment system has almost zero energy requirements when implemented in warm areas where optimal mesophilic temperatures can be reached without heating.

This research is funded by the Bill & Melinda Gates Foundation under the framework of SaniUp project (Stimulating local Innovation on Sanitation for the Urban Poor in Sub-Saharan Africa and South-East Asia) (OPP1029019). The authors would like to thank Ani Vabharneni, Sanergy Kenya, and DVC-ARS, Meru University, Kenya for their valuable support during this study.

Abbasi
T.
,
Tauseef
S. M.
&
Abbasi
S. A.
2012
Anaerobic digestion for global warming control and energy generation – an overview
.
Renew. Sust. Energy Rev.
16
,
3228
3242
.
APHA
1995
Standard Methods for the Examination of Water and Wastewater
, 19th edn.
American Public Health Association
,
Washington, DC
,
USA
.
Avery
L. M.
,
Anchang
K. Y.
,
Tumwesige
V.
,
Strachan
N.
&
Goude
P. J.
2014
Potential for pathogen reduction in anaerobic digestion and biogas generation in Sub-Saharan Africa
.
Biomass Bioenergy
70
,
112
124
.
Berndes
G.
,
Hoogwijk
M.
&
van den Broek
R.
2003
The contribution of biomass in the future global energy supply: a review of 17 studies
.
Biomass Bioenergy
25
(
1e
),
28
.
Chaggu
E. J.
2004
Sustainable Environmental Protection Using Modified Pit-Latrines
.
PhD Thesis
,
Wageningen University
,
The Netherlands
.
De Gioannis
G.
,
Muntoni
A.
,
Polettini
A.
,
Pomi
R.
&
Spiga
D.
2017
Energy recovery from one- and two-stage anaerobic digestion of food waste
.
Waste Manage.
68
,
595
602
.
Fagbohungbe
M. O.
,
Herbert
B. M. J.
,
Li
H.
,
Ricketts
L.
&
Semple
K. T.
2015
The effect of substrate to inoculum ratios on the anaerobic digestion of human faecal material
.
Environ. Technol. Innov.
3
,
121
129
.
Feachem
R. G.
,
Bradley
D. J.
,
Garelick
H.
&
Mara
D.
1983
Sanitation and Disease Health Aspects of Excreta and Wastewater Management
.
World Bank Studies in Water Supply and Sanitation, No. 3
.
John Wiley & Sons
,
New York, NY
. .
Horan
N. J.
,
Fletcher
L.
,
Betmal
S. M.
,
Wilks
S. A.
&
Keevil
C. W.
2004
Die-off of enteric bacterial pathogens during mesophilic anaerobic digestion
.
Water Res.
38
(
5
),
1113
1120
.
Katukiza
A. Y.
,
Ronteltap
M.
,
Niwagaba
C. B.
,
Foppen
J. W. A.
,
Kansiime
F.
&
Lens
P. N. L.
2012
Sustainable sanitation technology options for urban slums
.
Biotechnol. Adv.
30
(
5
),
964
978
.
Kunte
D. P.
,
Yeole
T. Y.
&
Ranade
D. R.
2000
Inactivation of Vibrio cholerae during anaerobic digestion of human night soil
.
Bioresour. Technol.
75
(
2
),
149
151
.
Lim
S.-J.
,
Kim
B. J.
,
Jeong
C.-M.
,
Choi
J.-D.-R.
,
Ahn
Y. H.
&
Chang
H. N.
2008
Anaerobic organic acid production of food waste in once-a-day feeding and drawing-off bioreactor
.
Bioresour. Technol.
99
(
16
),
7866
7874
.
Mata-Alvarez
J.
,
Dosta
J.
,
Macé
S.
&
Astals
S.
2011
Codigestion of solid wastes: a review of its uses and perspectives including modeling
.
Crit. Rev. Biotechnol.
31
,
99
111
.
Niwagaba
C.
,
Kulabako
R. N.
,
Mugala
P.
&
Jönsson
H.
2009a
Comparing microbial die-off in separately collected faeces with ash and sawdust additives
.
Waste Manage.
29
(
7
),
2214
2219
.
Niwagaba
C.
,
Nalubega
M.
,
Vinnerås
B.
,
Sundberg
C.
&
Jönsson
H.
2009b
Bench-scale composting of source-separated human faeces for sanitation
.
Waste Manage.
29
(
2
),
585
589
.
Pabon Pereira
C. P.
,
Castanares
G.
&
van Lier
J. B.
2012
An OxiTop((R)) protocol for screening plant material for its biochemical methane potential (BMP)
.
Water Sci. Technol.
66
(
7
),
1416
1423
.
Pabón-Pereira
C. P.
,
de Vries
J. W.
,
Slingerland
M. A.
,
Zeeman
G.
&
van Lier
J. B.
2014
Impact of crop-manure ratios on energy production and fertilizing characteristics of liquid and solid digestate during co-digestion
.
Environ. Technol.
35
(
19
),
2427
2434
.
Park
K. Y.
,
Jang
H. M.
,
Park
M.-R.
,
Lee
K.
,
Kim
D.
&
Kim
Y. M.
2016
Combination of different substrates to improve anaerobic digestion of sewage sludge in a wastewater treatment plant
.
Int. Biodeter. Biodegrad.
109
,
73
77
.
Rajagopal
R.
,
Lim
J. W.
,
Mao
Y.
,
Chen
C.-L.
&
Wang
J.-Y.
2013
Anaerobic co-digestion of source segregated brown water (feces-without-urine) and food waste: for Singapore context
.
Sci. Total Environ.
443
,
877
886
.
Schouten
M. A. C.
&
Mathenge
R. W.
2010
Communal sanitation alternatives for slums: a case study of Kibera
.
Kenya. Phys. Chemistry Earth A/B/C
35
(
13–14
),
815
822
.
Silva
S. A.
,
Cavaleiro
A. J.
,
Pereira
M. A.
,
Stams
A. J. M.
,
Alves
M. M.
&
Sousa
D. Z.
2014
Long-term acclimation of anaerobic sludges for high-rate methanogenesis from LCFA
.
Biomass Bioenergy
67
,
297
303
.
Strande
L.
,
Ronteltap
M.
&
Brdjanovic
D.
2014
Faecal Sludge Management, Systems Approach for Implementation and Operation
.
IWA Publishing
,
London
.
Van Lier
J. B.
,
Mahmoud
N.
&
Zeeman
G.
2008
Biological Wastewater Treatment: Principles, Modelling and Design. Chapter 16: Anaerobic Waste Water Treatment
.
IWA Publishing
,
London
.
Zhang
B.
,
Zhang
L. L.
,
Zhang
S. C.
,
Shi
H. Z.
&
Cai
W. M.
2005
The influence of pH on hydrolysis and acidogenesis of kitchen wastes in two-phase anaerobic digestion
.
Environ. Technol.
3
,
329
339
.
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