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European agricultural policy increasingly focuses on environmental friendly cropping systems. Intercropping of maize (Zea mays L.) and common beans (Phaseolus vulgaris L.) has been suggested as an alternative cropping system with environmental benefits. The aim of this study was to assess methane yield potential of mixed silages. Based on material from two field experiments at three sites in Germany, mixed silages were produced with proportions of individual components varying from 0 to 100 % of fresh matter in increments of 12.5 %. Chemical parameters (neutral detergent fiber (NDF), acid detergent fiber (ADF), crude protein (XP), starch, sugar, and crude fat) were determined, and batch tests were performed to measure methane yield potential from silages. With increasing bean proportion, concentrations of XP increased while NDF, methane yield, and methane content decreased. While methane yield showed a negative relationship with XP content (R 2 = 0.56***), a positive relation was found with NDF (R 2 = 0.55***). The reduction of methane yield of circa 1 L of methane per each additional bean percentage in the silages could not be explained by the chemical parameters of the silages. It is hypothesized that other chemical compounds, such as lectins, which were not determined in the present study, may have influenced methane production.

This study investigated the temporal dynamics of the degradation of organic matter (OM), fibre, protein and remaining organic constituents during anaerobic digestion of silages from maize, sunflower and sorghum-sudangrass that were harvested at different maturity stages. The tests were conducted using an in sacco method in 20 l digesters. The degradation kinetics of fibres showed some similarity for maize and sorghum-sudangrass with a continuous progress, whereas in sunflower it developed with a strong degradation right after incubation to reach a quasi-constant level for the rest of the 35 days lasting fermentation time. The degradation process for crude protein was usually intense from the very beginning and levelled off after only 5 days. Methane yield after 35 days amounted to 358, 278, and 320 lN CH4/kg OM for maize, sunflower and sorghum-sudangrass respectively but could not be predicted with high accuracy by regression models based on organic constituents.

Urban biomass from green areas is a potential resource for bioenergy recovery, which is widely unused. Different types of organic material (e.g., grass, leaf litter) usually occur in mixtures due to common collecting practice. Forty samples of grass, leaf litter (genera: Acer, Quercus, Tilia), and mixtures of both, containing one third grass or leaf litter, were investigated to evaluate the effect of the “Integrated Generation of Solid Fuel and Biogas from Biomass” (IFBB) on material and energy fluxes as well as relevant characteristics of resulting energy carriers. IFBB divides biomass into a fiber-rich press cake and a highly digestible press fluid by mashing with subsequent pressing. Ensiling of samples was successful with pH values ranging from 4.2 in grass to 4.8 in pure Tilia samples. Concentration of most minerals with exception of Ca and Mg were higher in grass than in leaf litter silage. The IFBB treatment reduced the element concentration in the press cake independently from the substrate. Linear regression models revealed high influence of the initial concentration in silage on the concentration in the press cake. The lower heating value of the press cake was nearly constant (19 MJ kg−1 DMash free) independent from mixture. Methane yields from press fluid digestion ranged from 172 (mean of leaf litter samples) to 325 lN kg−1 VS (mixture of 33 % leaf litter—66 % grass). For an evaluation of the economic and ecological potential, models of the spatial and temporal occurrence of these biomasses need to be established.

The mechanical dehydration of ensiled agricultural crops results in two major products: a fibrous press cake and a press fluid containing mainly easily digestible constituents. This study is aimed at the investigation on methane yields and digestion dynamics of the press fluids from maize silages using different types of digesters. Methane yields investigated in batch experiments account for 390–506 lN CH4/kg volatile solids (VS) with a degree of degradation of the organic matter in the fluid of more than 90%. The investigation of digestion dynamics in a continuously working stirrer tank digester at different levels of retention time and volume load suggests that a stable fermentation of press fluids can only be achieved with retention times of more than 20 days and with volume loads below 2 g VS/l/day. In a continuously working fixed bed digester a steady fermentation could be achieved at a retention time of 8 days and a volume load of 3 g VS/l/day.

This study was implemented to evaluate the potential of near-infrared reflectance spectroscopy (NIRS) technology to estimate chemical composition of dried press cake samples characterised by a wide range of parent materials. A total of 210 samples, derived from two studies on production of solid fuels from agricultural crops by application of the IFBB technology (Integrated production of solid fuels and biogas from biomass), were analysed to determine their chemical composition. A Foss XDS-spectrometer was used to obtain near-infrared spectra (400–2,500 nm). Prediction equations, developed for chemical components, showed that NIRS technology could predict N, inorganic ash (ash), crude fiber (CF), ether extract (EE) and nitrogen free extracts (NFE) accurately (RSQcal and SECV of 0.93 and 0.04 % DM, 0.89 and 0.48 % DM, 0.93 and 1.67 % DM, 0.87 and 0.28 % DM and 0.93 and 1.72 % DM, respectively). Mineral components could also be predicted with a moderate degree of accuracy using NIRS technology (RSQcal and SECV of 0.85 and 0.10 % DM (K), 0.77 and 0.01 % DM (P) and 0.84 and 0.02 % DM (Cl), respectively), whereas calibration of gross energy (GE) did not succeed. Subsequent, external validation confirmed these results. Regression of mass flows with measured and NIRS-predicted values showed accurate results (RSQ 0.72–0.99) and promise an accelerated quality management in working biogas plants.