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Based on the integration of biomass retention and liquid gas mass transfer of biogas into the biochemical process derived in the International Water Association IWAAnaerobicbic Digestion Model No.1 (aDmathematicalmodelal model was developed to predict volatile fatty acids (VFAs), chemical oxygen demand (CODCr) and biogas in a 4-compartment ABR operated with variable hydraulic retention time (HRT).
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The use of biofuels such as bioethanol, biodiesel and biogas in the transport sector offers a valuable alternative in order to minimize greenhouse gas emissions and fossil-fuel dependence, and is being developed in many countries.
The PBVGS involves building a pigsty and a biogas digester in a vegetable greenhouse, putting pig dung into the biogas digester for fermentation, using the biogas for increasing illumination and air temperature in the greenhouse, and using the fermented waste as organic manure.
H2 can either be injected into the anaerobic digester (Luo et al. 2012), or H2 and biogas can be mixed in a second reactor containing methanogens (Bassani et al. 2015; Luo and Angelidaki 2012) (Fig. 5).
This paper proposes a novel hybrid CSP and biogas power plant in which biogas is produced with anaerobic treatment of liquid cattle manure under mesophilic conditions.
Figure 7 Natural gas and biogas DFC plants in California.
The objectives of this research are (a) modify the constants of k and L0 with in situ data, and (b) estimate the biogas generation in a sanitary landfill of a Mexican city using the modified constants.
In practice, this means an aggressive shift (pdf) to renewable energy and energy efficiency measures through initiatives including the establishment of new on- and off-shore wind turbines and the introduction of biogas in transport and manufacturing processes to replace oil and natural gas.
In this paper, we study the rise and fall of technology legitimacy of agricultural biogas in Germany over a period of more than 20 years (1990 2012).
The inoculum was obtained from the 8 m hydraulic biogas digester in a model village powered by household biogas (Yangling, Shaanxi, China).
Logistic regression was used to evaluate the effect of pig ownership, household size, and income on interest in biogas in the pre-biogas survey, and on the presence of biogas in the post-biogas survey.
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