Evaluation of energy efficiency of various biogas production and utilization pathways

Pöschl, Martina; Ward, Shane; Owende, Philip

doi:10.1016/j.apenergy.2010.05.011

Cited by 648 publications

(308 citation statements)

References 34 publications

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“…The pH is usually used as an indicator of the health of an AD system; a pH of 6.8 to 8.0 is considered normal [27]. In this study, the pH stabilized at 7.4-7.8 during the entire digestion process (Fig.…”

Section: Analysis Of the Ad Process Stabilitymentioning

confidence: 93%

Anaerobic Mesophilic Codigestion of Rice Straw and Chicken Manure: Effects of Organic Loading Rate on Process Stability and Performance

Mei

Liu

Huang

et al. 2016

Appl Biochem Biotechnol

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To investigate the effects of organic loading rate (OLR) on performance and stability of mesophilic co-digestion of rice straw (RS) and chicken manure (CM), benchtop experiments (40 L) were carried out at OLRs of 3.0, 3.6, 4.2, 4.8, 6.0, 8.0, and 12.0 kg volatile solid (VS)/(m 3 ·day) with volatile solid (VS) ratio of 1:1 (RS/CM) which was based on batch tests. Anaerobic co-digestion was slightly and severely inhibited by the accumulation of ammonia when the digester was overloaded at an OLR of 6 and 12 kg VS/(m 3 ·day), respectively. The recommended OLR for codigestion is 4.8 kg VS/(m 3 ·day), which corresponds to average specific biogas production (SBP) of 380 L/kg VS and volumetric biogas production rate (VBPR) of 1.8 m 3 / (m 3 ·day). An OLR of 6-8 kg VS/(m 3 ·d) with SBP of 360-440 L/kg VS and VBPR of 2.1-3.5 m 3 /(m 3 ·day) could be considered, if an Anaerobic digestion (AD) system assisted by in situ removal of ammonia was adopted.

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Section: Analysis Of the Ad Process Stabilitymentioning

confidence: 93%

Anaerobic Mesophilic Codigestion of Rice Straw and Chicken Manure: Effects of Organic Loading Rate on Process Stability and Performance

Mei

Liu

Huang

et al. 2016

Appl Biochem Biotechnol

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“…For example, Berglund & Börjesson 2006 used the sum of energy into the biogas system as input and the biogas energy content as output when calculating the input-output ratio, whereas Pöschl et al 2010 assessed process energy efficiency with the primary energy input to output (PEIO) ratio. Pöschl et al 2010 included crop cultivation and feedstock pre-treatment, feedstock collection and transport, biogas plant operation, biogas utilization, and digestate processing and handling in the input energy. Output was then the sum of the potential energy conversion from the biogas.…”

Section: Energy Performance Evaluation Methods From the Literaturementioning

confidence: 99%

“…(Banks et al, 2011) There is no single widely used method for estimating the energy efficiency of biogas plants. Both energy output divided by energy input (output/input) (Patterson, 1996;Tanaka, 2008;Prade et al, 2012) and energy input divided by energy output (Pöschl et al, 2010) ratios have been used in estimating energy efficiency. The definition of input and output energies also varies among the studies.…”

Section: Energy Performance Evaluation Methods From the Literaturementioning

confidence: 99%

“…The widest system boundary for biogas production should also include the obtaining of the masses, i.e. collection and transport of biowaste and cultivation; and harvesting and transport of agricultural feedstock (Pöschl et al, 2010). The system boundaries used for estimating energy performance in this study are presented in Figure 1.…”

Section: Defining System Boundarymentioning

confidence: 99%

“…The system boundary in turn determines the selected system to be examined, therefore affecting the results of a study. There are several different system boundaries that may be used in estimating the energy performance of a biogas plant (Gropgen, 2007) (Prade et al, 2012) (Pöschl et al, 2010). Biogas production and biogas utilization can be estimated separately.…”

Section: Defining System Boundarymentioning

confidence: 99%

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Evaluation of methods for estimating energy performance of biogas production

et al. 2014

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This study focused on identifying various system boundaries and evaluating methods of estimating energy performance of biogas production. First, the output-input ratio method used for evaluating energy performance from the system boundaries was reviewed. Secondly, ways to assess the efficiency of biogas use and parasitic energy demand were investigated. Thirdly, an approach for comparing biogas production to other energy production methods was evaluated. Data from an existing biogas plant, located in Finland, was used for the evaluation of the methods. The results indicate that calculating and comparing the output-input ratios (Rpr1, Rpr2, Rut, Rpl and Rsy) can be used in evaluating the performance of biogas production system. In addition, the parasitic energy demand calculations (w) and the efficiency of utilizing produced biogas (η) provide detailed information on energy performance of the biogas plant. Furthermore, Rf and energy output in relation to total solid mass of feedstock (FO/TS) are useful in comparing biogas production with other energy recovery technologies. As a conclusion it is essential for the comparability of biogas plants that their energy performance would be calculated in a more consistent manner in the future.

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