Composition Of Stream Research Articles

Adjoint-based sensitivity analysis of char combustion surface reaction kinetics

Simulations of solid particle combustion rely on models to approximate the reactions on the surface of the particle and in the surrounding gas. These models, in turn, depend on many model parameters, which are determined, most commonly, by experiments and contain a certain level of uncertainty. It is therefore essential to correctly determine the sensitivities of measured quantities of interest, with respect to the existing model parameters. This study, concentrates on a one-step model describing the heterogeneous reaction on the surface of a char particle, and in particular, the surface model presented by Schiemann et al. [24]. Adjoint-based methods are then employed to extract sensitivities of various quantities of interests, including the burning rate and total heat release, with respect to surface model parameters, such as, the activation energy, and the pre-exponential factor. The variation of these sensitivities are then assessed as the particle size and free stream composition are varied.

Treatment of real oilfield produced water by liquid-liquid extraction and efficient phase separation in a mixer-settler based on phase inversion

Produced water treatment has become a challenge for the oil industry to meet environmental legislation requirements, due to several dissolved organic compounds, which are barely removed under conventional treatments. In this work, oil and grease removal from real offshore produced water samples was evaluated by a novel liquid-liquid extraction process, followed by efficient phase separation in a mixer-settler based on phase inversion. In this novel approach, a condensate–average stream composition collected from offshore oil production platforms was used as an extraction solvent to remove mainly dissolved compounds. This strategy treatment, which is considered unprecedented in the industry, may allow oil producers to overcome many logistic challenges, also reducing inputs consumption and costs. The synthetic condensate potential was also compared to n-hexane and n-heptane in batch tests. According to the results, solvent concentration and pH exerted a significant influence on the extraction efficiency. Only at pH 4 and 1:10 solvent ratio, excellent removal efficiencies were obtained. Another significant result observed in the study was the mixer-settler performance, which allowed instantaneous phase separation with high extraction efficiency. At 10% (v/v) of condensate, the flow rate of 10 L/h and at pH 4, the applied process was able to reach the PW requirements for discharge according to the Brazilian National Environment Council guidelines in a single extraction step, resulting in a final outlet stream containing oil and grease under 29 mg/L, measured according Standard Method 5520 – B (Partition Gravimetric Method). This work offers an alternative to overcome the main produced water management challenges faced by the oil industry, using more efficient and compact equipment and reduced operating costs since the inputs are available on the offshore oil production platforms.

Sensitivity analysis of an unsteady char particle combustion

Simulations of unsteady char particle combustion rely on various models that are necessary in order to correctly predict the governing flow and combustion processes. These models, in turn, rely on model parameters, which are determined by experiments or small scale simulations and contain a certain level of uncertainty. It is therefore, essential to correctly determine the sensitivities of quantities of interest measured using such simulations, with respect to the existing parameters. In this study, a discrete adjoint algorithm is employed to extract sensitivities of various quantities of interest with respect to physical and model parameters. This adjoint framework bears a great advantage in cases where a large input space is analyzed, since a single forward and backward sweep provides sensitivity information with respect to all parameters of interest. Sensitivities are extracted for relevant quantities of interest, such as burning rate and particle temperature, and are then compared as free stream composition changes from air to oxy atmosphere. The evolution of sensitivities in time is shown to be dependent on the selected quantity of interest. Model sensitivities with respect to heterogeneous reaction parameters (oxidation of carbon, in particular) are shown to be the highest, whereas the sensitivities with respect to free stream composition are shown to be significantly lower.

Combustion of a hydrogen/carbon monoxide/carbon dioxide mixture in hot and diluted streams

This work presents an experimental investigation on the combustion behavior of a mixture of hydrogen, carbon monoxide and carbon dioxide in hot and diluted streams, like those obtain under flameless combustion regimes. A jet in a hot coflow burner was used to carry out the experiments. This burner consists of a central fuel jet surrounded by a combustion products stream, which comes from a premixed flame under lean conditions. In this way, it is possible to obtain high temperature and low oxygen concentration in the jet flame. Here, a mixture of 40% H2, 40% CO and 20% CO was issued through the jet nozzle. This composition corresponds to a renewable fuel known as syngas. Three oxygen composition in the oxidant stream were evaluated: 2.0%, 4.7% and 6.9%. Temperature and species concentration values were measured along axial and radial lines under a fix Reynolds’s number. The results suggest that when oxygen concentration increases, CO and NO emissions of the total process decreases.

Non-Single Charge Ions Effect on Reverse Electrodialysis Technology for Salinity Gradient Power Generation

Salinity Gradient Power (SGP), also known as Blue Energy, is gaining attention in the recent years due to its global availability and renewable nature [1,2]. SGP is based on the physico-chemical potential existing when two water streams of different salinity are mixed. The most important and well-known technology to harvest the SGP energy is the Reverse Electrodialysis (RED), which converts the blue energy into electricity through ion exchange membranes (IEMs). Usually, seawater has been targeted as high concentrated solution and river water as low concentrated solution. Nevertheless, other water bodies are possible, for example, industrial brine solutions, groundwater or treated urban wastewater streams. The presence of the non-single charge ions presents in common water streams can affect power performance due to an increase in the internal resistance of the system [3,4], and thus their effects need to be thoroughly studied.This work aims to model the RED performance providing a robust and comprehensive mathematical tool to predict power output under real conditions. The model takes into account different variables (flowrate and temperature), the RED system characteristics (effective area, thickness of both membranes and spacers and number of cell pair) as well as different scenarios in term of streams composition. In this sense, the concentration of the main compounds presents in the typical water sources was studied achieving different correlations as function of the cationic or anionic type of membrane.For this purpose, electrochemical impedance spectroscopy (EIS) technique was employed to measure the resistance of IEMs in contact with NaCl solution including mixtures of non-single charge ions (Ca2+, Mg2+, SO4 2-) in order to find suitable mathematical correlations to be integrated into the mathematical model [1]. EIS measurements were performed by placing the membranes in a nylon cell system previously submerged in the different solutions for seven days to ensure impregnation.The results obtained were validated with different experimental conditions in terms of water composition. Theoretical and experimental results fit well with errors below 5%, showing that the presence of divalent ions has a negative effect on power performance due to the increase in membrane resistance in comparison to pure NaCl solutions. Nevertheless, the maximum decay in power output, for a wide range of real scenarios studied, was not higher than 16%, which can still be considered acceptable. Acknowledgements: The authors want to acknowledge financial support from the Spanish Ministry of Economy and Competitiveness through the projects: CTQ2015-66078-R, and CTM2017-87850-R. This research is also being supported by the Project “HYLANTIC”-EAPA_204/2016, which is co-financed by the European Regional Development Fund in the framework of the Interreg Atlantic program.

Effect of small quantities of potassium promoter and steam on the catalytic properties of nickel catalysts in dry/combined methane reforming

Carbon dioxide and methane are two of the principal greenhouse gases. Reduction of their content in the atmosphere is currently the subject of much worldwide research. Dry and combined reforming of methane are effective methods of CO2 and CH4 utilization and production of synthesis gas (syngas) in chemical technology. Testing of catalysts that provide the desired H2/CO ratio and long operation time is one of the critical aspects of syngas production and the focus of much study. In this study, K-promoted Ni/MgAl2O4 catalysts prepared using a co-precipitation-impregnation method with different K/Ni ratios (range of 0–0.15) were examined in dry reforming of methane (DRM). The obtained catalysts were characterized using X-ray diffractometry (XRD), atomic emission spectrometry (MP-AES), Brunauer–Emmett–Teller (BET) specific surface area, BJH pore size distribution, TEM imaging, analysis of reducibility H2-TPR, infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), Hammet basicity analysis, thermogravimetric analysis (TG) and elemental carbon-hydrogen-nitrogen analysis (CHN). Promotion of nickel catalysts with potassium led to changes in nickel distribution, metal-support interactions and deceleration of carbon deposition while enhancing sorption of carbon dioxide and reduction of nH2:CO to 0.5 for 0.7 K–Ni/MgAl2O4 catalyst. To obtain the required H2:CO ratio close to unity a study on the effect of steam in inlet stream was performed. It was found that maintaining inlet stream composition equal CH4:CO2:H2O = 1.0:1.0:0.1 obtained an H2:CO ratio close to unity.

Fractionation of a vacuum residue with a mixture of CO2-toluene as a method for characterizing heavy petroleum feedstocks

ABSTRACT The characterization of the feedstock is an important analytical task in the modeling and development of processes for upgrading of petroleum residues. This work presents the results of fractionation of the vacuum petroleum residue by extraction using a mixture of CO2 and toluene as a solvent. Fractionation was carried out by changing the ratio of components in the mixture by successively increasing the concentration of toluene in the composition of the CO2 stream from 0% to 50%. As a result of separation of the vacuum residue, nine fractions of the extract with a yield of 83.1% were obtained.

The coming wave of aluminum sheet scrap from vehicle recycling in the United States

The emergence of mass-produced aluminum sheet intensive vehicles presents an opportunity for recyclers to shift towards high value recycling into wrought alloys. We use dynamic material flow analyses (2015–2050) to estimate the timing, scale, and composition of U.S. aluminum automotive body sheet (ABS) scrap generated from the aluminum ABS intensive vehicles with the highest U.S. sales: Ford F-150, Super Duty, Expedition, and Lincoln Navigator. Lifespan distribution models are derived for each vehicle, and 5xxx and 6xxx series sheet alloys are aggregated according to their copper and magnesium content. A Markov chain model is used to estimate the fraction of deregistered vehicles scrapped domestically versus exported.It is found that the above four vehicles account for around 1,200 kt of aluminum ABS embedded within the 2020 U.S. fleet. The aluminum ABS intensive construction of these vehicles presents a unique opportunity to U.S. recyclers. If production continues at the current volumes, aluminum ABS scrap from these vehicles will increase to approximately 125 kt/year in 2035 and 246 kt/year in 2050. The majority of this scrap will be available for U.S. processing with <<10% of deregistered vehicles exported or achieving vintage status. For comparison, only 121 kt of aluminum auto shred (containing negligible aluminum ABS) was domestically consumed in the U.S. in 2017. We analyze the composition of the future potential scrap streams, revealing the need for alloy separation and tramp element removal if closed loop aluminum ABS recycling is to be achieved.

Shifts in aquatic insect composition in a tropical forest stream after three decades of climatic warming.

The effects of climatic warming on tropical streams have received little attention, and field studies of such changes are generally lacking. Drifting insects from a Hong Kong forest stream were sampled for 36months between 2013 and 2016, and compared with samples collected using identical methods in 1983-84. Mean air temperatures rose by ~0.5°C (0.17°C per decade) over this period. The stream drained an uninhabited protected area, so no climate-change effects were confounded by anthropogenic disturbance. In total, 105 taxa and >77,000 individuals were collected. Richness of samples in the historic and contemporary datasets did not differ, but true diversity of drifting insects was highest in 1983-84, and declined between 2013-14 and 2015-16. There was considerable disparity in assemblage composition between 1983-84 and 2013-16, and smaller between-year changes in the contemporary dataset. Nine indicator species of the historic dataset were identified. Most were mayflies, particularly Baetidae, which were greatly reduced in relative abundance in 2013-16. Diptera became more numerous, and tanypodine chironomids were the sole contemporary indicator taxon. Relative abundance of eight of 19 drifting species (comprising 60% of total insects) was lower in 2013-16, when the dominant baetid mayfly during 1983-84 had declined by almost 90%; only one of the 19 species occurred at higher abundance. Eight species were affected by seasonal temperature variability, but these responses were not correlated with any tendency to exhibit long-term changes in abundance. Substantial shifts in composition, including declines in mayfly relative abundance and assemblage diversity, occurred after three decades of warming, despite the broad annual range of stream temperatures (~16°C) in Hong Kong. This contradicts the well-known prediction that organisms from variable climates have evolved wider thermal tolerances that reflect prevailing environmental conditions. The observed compositional reorganization indicates that variability, rather than stability, may be typical of undisturbed tropical stream communities.

Potential Dynamics of CO2 Stream Composition and Mass Flow Rates in CCS Clusters

Temporal variations in CO2 stream composition and mass flow rates may occur in a CO2 transport network, as well as further downstream when CO2 streams of different compositions and temporally variable mass flow rates are fed in. To assess the potential impacts of such variations on CO2 transport, injection, and storage, their characteristics must be known. We investigated variation characteristics in a scenario of a regional CO2 emitter cluster of seven fossil-fired power plants and four industrial plants that feed captured CO2 streams into a pipeline network. Variations of CO2 stream composition and mass flow rates in the pipelines were simulated using a network analysis tool. In addition, the potential effects of changes in the energy mix on resulting mass flow rates and CO2 stream compositions were investigated for two energy mix scenarios that consider higher shares of renewable energy sources or a replacement of lignite by hard coal and natural gas. While resulting maximum mass flow rates in the trunk line were similar in all considered scenarios, minimum flow rates and pipeline capacity utilisation differed substantially between them. Variations in CO2 stream composition followed the power plants’ operational load patterns resulting e.g., in stronger composition variations in case of higher renewable energy production.

Density and diversity of macroinvertebrates in Colombian Andean streams impacted by mining, agriculture and cattle production.

BackgroundMining, agriculture and cattle production are activities that threaten the quality and quantity of water resources in the Colombian Andes. However, many drainage basins in this region have not been subjected to simultaneous evaluation of the impact these activities have on the density, diversity and composition of aquatic macroinvertebrates (AMI). The first two of these ecological variables are expected to decrease drastically from zones with no apparent impact towards areas with anthropogenic activity, which areas with mining will present the most impoverished AMI community.MethodsWe evaluated the density, diversity and composition dissimilarity of AMI in streams impacted by gold mining, agriculture and cattle production. Two reference streams were also studied. Six benthic samplings were conducted bimonthly (Feb 2014–Feb 2015) using a Surber net. Water samples were taken in order to make environmental evaluation among the aforementioned streams, including hydrological, physicochemical and bacteriological parameters (HPCB). Diversity was evaluated as the effective number of RTUs—recognizable taxonomic units—by comparing the richness, typical diversity, and effective number of the most abundant RTUs. Compositional dissimilarity was examined with nMDS and CCA analysis.ResultsA total of 7,483 organisms were collected: 14 orders, 42 families and 71 RTUs. Our prediction regarding the density and diversity of AMI (Reference > Cattle production > Agriculture > Mining) was partially fulfilled, since the agriculture-dominated stream presented a more impoverished AMI community than that of the gold mining stream. However, these streams presented lower diversity than the cattle production and reference streams, and the AMI density only differed significantly between one reference stream and the agriculture stream. The AMI composition in the agriculture-dominated stream clearly differed from that of the other streams.DiscussionThe observation of a more impoverished AMI community in agricultural production areas compared to those with mining or cattle production may reflect the importance of the remaining riparian vegetation, which was scarce at the stream with agricultural activity. Moreover, the low diversity, and mainly the reduced AMI richness, in the agriculture stream coincided with the absence of insect genera are intolerant to deterioration of the biological and physicochemical conditions of the water (e.g. Anacroneuria).ConclusionsThe results suggest that the local impact of agricultural activities may be of equal or greater magnitude than that of mining in terms of AMI density, diversity and composition, in the Colombian Andean riverscape. Future studies should systematically evaluate, throughout the annual cycle, the relative effects of the productive land use, the remaining native vegetation cover and the consequent changes in the HPCB parameters of the water on AMI communities in Colombian Andean basins.

Power generation from waste heat: Ionic liquid‐based absorption cycle versus organic Rankine cycle

AbstractAspen Plus® simulations using the Peng‐Robinson (PR‐EOS) and the COSMO‐SAC models were performed to study absorption power cycles (APCs) using mixtures of R‐134a with two ionic liquids, [C2C1im][Tf2N] or [C6C1im][Tf2N], and compared against an R‐134a organic Rankine cycle (ORC) operating under similar conditions. The PR‐EOS results were in agreement with calculations from a PR model fitted to the R‐134a + IL experimental phase equilibrium data. The APCs have similar efficiencies and outperform the ORC by 3%–46%, with the largest differences observed when operating with lower grade (lower TH) heating sources, lower quality cooling (higher TL), and lower subcooling in the pump inlet stream. The PR‐EOS and the Conductor‐like Screening Model Segment Activity Coefficient (COSMO‐SAC) results follow similar trends, but numerical discrepancies are observed in the cycle efficiencies and stream flow rates and compositions due to differences in solubilities and enthalpy changes between both models, suggesting that improvements are needed to increase the accuracy of COSMO‐SAC for these systems.

A comprehensive approach to evaluate feed stream composition effect on natural gas processing unit energy consumption

Natural gas processing unit consume a high amount of energy. Any attempt to achieve lower energy consumption subjected to evaluation criteria would lead to a remarkable enhancement in the process efficiency. In the present study, an optimization was carried out by minimizing the specific energy consumption [kWh/kg of Sales Gas - SG] including the restriction of a minimum limit of 90% C3+ recovery by manipulation of some operational parameters such as temperature and pressure. Three natural gas C3+ molar compositions were analyzed: 11.2%, 8.9% and 5.5%. The results were submitted to six evaluation criteria: energy, economic, recovery, production, safety and quality performance. There was a reduction in specific energy consumption of 21.1% for 5.5% composition and an increase in the economic margin [US$/h] in 0.35% with a reduction of the recovery performance in about 3.8% and of the adopted safety criterion. In all cases the quality criteria was met.

Responses of resources and consumers to experimental flow pulses in a temporary Mediterranean stream

Determining the resistance and resilience of resources and benthic invertebrates connected to instream refuges and species re-colonization in post-flood periods may help to elucidate mechanisms behind community recovery. This experiment simulated flow pulses in a small temporary stream in an extremely wet year, using upstream control and downstream flooded reaches at three sites in order to assess community resistance and resilience (benthos and drift), and analyse resources (periphyton and benthic organic matter) and invertebrates at pre- and post-flood time periods. The hyporheos was sampled in order to explore species exchanges with benthos. Fewer resources and benthic invertebrates at the beginning of the experiment were found than in previous studies when base flow conditions prevailed. Resource stocks and benthic invertebrates showed high resistance to the flow pulse. Interestingly, there was low resilience of benthic organic matter to natural seasonal flooding. Chlorophyll a did not recover after experimental floods; instead, it was reduced after floods, despite the more benign flow conditions and non-limiting irradiance levels, pointing to top-down control by consumers. Additionally, the experimental flood significantly disturbed only the invertebrate composition in the groundwater-fed stream, which was inhabited by the fewest adapted-to-flood-disturbances macroinvertebrates. Despite the low resilience observed, richness and densities of benthos increased during the study, evidencing progressive colonization. Around 50–60% of macroinvertebrates were present in both benthos and hyporheos. Richness increased after flooding, suggesting that the hyporheic zone could be the main source of colonizers. Three species traits characterized the hyporheos: small size, cocoons and feeders of microorganisms within the fine sediment matrix. The main results indicate that longer-than-normal flood periods in early spring may constrain invertebrate succession before the next summer drought in temporary streams. This study underscores the importance of hyporheic fauna as a significance source of colonizers, highlighting the importance of connectivity to the groundwater.

A new graphical approach for simultaneous targeting and design of mass exchange networks

Since the early 90’s, Composite Curves (CC) and the Grid Diagram (GD) have been among the most popular graphical tools for targeting and design of Mass Exchange Networks (MEN) based on Pinch Analysis technique. However, CC has limitations since it maps rich and lean streams based on composites instead of individual streams on the composition versus mass load (y-M) diagram. Hence, it cannot directly be used for network design. The network design needs to be developed separately using sets of design criteria. This paper presents Stream Composition versus Mass Load Plot (SCMP) as new graphical approach for simultaneous MEN targeting and network design to overcome limitations of CC and GD. The SCMP shows the pinch point, maximum mass recovery, and the minimum Mass Separating Agent (MSA) targets. The network design to achieve these targets can be obtained by graphically translating the SCMP curves into Mass Allocation Network and Targeting (MANT) diagram.

Impact of treated sewage effluent on the bacterial community composition in an intermittent mediterranean stream

Water quality monitoring is essential to safeguard human and environmental health. The advent of next-generation sequencing techniques in recent years, which allow a more in-depth study of environmental microbial communities in the environment, could broaden the perspective of water quality monitoring to include impact of faecal pollution bacteria on ecosystem. In this study, 16 S rRNA amplicon sequencing was used to evaluate the impact of wastewater treatment plant (WWTP) effluent on autochthonous microbial communities of a temporary Mediterranean stream characterized by high flow seasonality (from 0.02 m3/s in winter to 0.006 m3/s in summer).Seven sampling campaigns were performed under different temperatures and streamflow conditions (winter and summer). Water samples were collected upstream (Upper) of the WWTP, the secondary effluent (EF) discharge and 75 m (P75) and 1000 m (P1000) downstream of the WWTP.A total of 5,593,724 sequences were obtained, giving rise to 20,650 amplicon sequence variants (ASV), which were further analysed and classified into phylum, class, family and genus. Each sample presented different distribution and abundance of taxa. Although taxon distribution and abundance differed in each sample, the microbial community structure of P75 resembled that of EF samples, and Upper and P1000 samples mostly clustered together. Alpha diversity showed the highest values for Upper and P1000 samples and presented seasonal differences, being higher in winter conditions of high streamflow and low temperature.Our results suggest the microbial ecology re-establishment, since autochthonous bacterial communities were able to recover from the impact of the WWTP effluent in 1 km. Alpha diversity results indicates a possible influence of environmental factors on the bacterial community structure. This study shows the potential of next-generation sequencing techniques as useful tools in water quality monitoring and management within the climate change scenario.

Sensor Fusion: Comprehensive Real-Time, On-Line Monitoring for Process Control via Visible, Near-Infrared, and Raman Spectroscopy.

On-line monitoring based on optical spectroscopy provides unprecedented insight into the chemical composition of process streams or batches. Amplifying this approach through utilizing multiple forms of optical spectroscopy in sensor fusion can greatly expand the number and type of chemical species that can be identified and quantified. This is demonstrated herein, on the analysis of used nuclear fuel recycling streams: highly complex processes with multiple target and interfering analytes. The optical techniques of visible absorbance, near-infrared absorbance, and Raman spectroscopy were combined to quantify plutonium(III, IV, VI), uranium(IV, VI), neptunium(IV, V, VI), and nitric acid. Chemometric modeling was used to quantify analytes in process streams in real time, and results were successfully used to enable immediate process control and generation of a product stream at a set composition ratio. This represents a significant step forward in the ability to monitor and control complex chemical processes occurring in harsh chemical environments.

Outlining a comprehensive techno-economic approach to evaluate the performance of an advanced sorting plant for plastic waste recovery

Mixed plastics from municipal solid waste are usually recycled in suitable Material Recovery Facilities (MRFs) following separate collection. These plants allow the sorting of individual plastics with variable performance depending on the technologies adopted. The evaluation of the performance of MRFs is also conducted with different approaches, even in terms of timescales, making the results difficult to compare. In this context, this study presents a comprehensive techno-economic approach to evaluate the performance of a MRF for plastic waste recovery. As a support, the Molfetta MRF case study (Southern Italy) was considered with an inlet plastic amount of about 19,000 t/year. The methodological proposal was based on the analysis of the quantity and composition of the different incoming waste streams, calculation of the Purity Index (PI) and Recovery Index (RI), quantification of the mass balance as well as accurate economic assessment. PI and RI assess the technical performance of the facility. They achieved the highest values (>95 %) for manual and optical sorting indeed they reached good values (70–80 %) for dimensional one; the economic analysis showed a specific gain of 12.58 €/t of sorted waste. The comparison of the obtained results with those of a similar MRF in Northern Italy had corroborated the suitability of the proposed approach suggesting its application, although with the due exceptions referred to the economic part, to other world contexts.

A two carriers reactor configuration for chemical-looping combustion in a packed-bed

•A numerical model of a Chemical Looping Combustion (CLC) fixed bed reactors network for CH4 combustion is developed and studied in the present paper. The network is based on a parallel arrangement of couples of reactors in series. For every couple, the first reactor is filled with a Cu-based oxygen carrier (OC) while the second one exploits a Ni-based OC. The developed model allows to evaluate the performances of the proposed system in terms of both generated thermal power and flow and composition of the gaseous output streams.•For the same bed length and cross-sectional area, the proposed two-stage CLC reactor has similar performances to a single carrier one in terms of outlet gas temperature, allowing however for shorter cycle times and requiring a lower amount of active phases contents with respect to this latter. Moreover, fewer units to be arranged in the network are required for the proposed two-stage CLC system than the single-stage one.

Datasets on chemical composition and anaerobic digestion of organic fraction of municipal solid waste (OFMSW), digested sewage sludge (inoculum) and ashes from incineration or gasification.

This article contains data on the chemical composition and anaerobic digestion of different residue streams including OFMSW, digested sewage sludge, low-carbon (LC) ashes from incineration subdivided into LC coarse and LC fly ash as well as high-carbon (HC) ashes from gasification subdivided into HC reactor and HC fly ash. All materials were collected in accordance to standard procedures in southern Germany. The data presented in this article include (1) dry matter (2) organic dry matter (3) elemental analysis (4) trace elements and (5) cumulative biogas and CH4 yields. Researchers and waste management companies on lab-/pilot-/industrial-scale can rely on the presented data for classification and comparison of biogenic waste streams. For further discussion, please refer to the scientific article entitled “Optimizing anaerobic digestion of organic fraction of municipal solid waste (OFMSW) by using biomass ashes as additives” [1].