Critical Technology Factors of Biogas Plants Using Mixed Materials

2016 ◽  
Vol 2 (04) ◽  
pp. 225-230
Author(s):  
L Tóth ◽  
J Beke ◽  
Z Bártfai ◽  
I Szabó ◽  
I Oldal ◽  
...  
2020 ◽  
Vol 2 (7) ◽  
pp. 171-184
Author(s):  
Z. U. SAIPOV ◽  
◽  
G. A. ARIFDZHANOV ◽  

Energy is one of the main pillars of the state’s economy, which is currently facing serious problems due to depletion of mineral energy resources and the threatening environment. As a result, presently around the world there is a rapid growth and development of energy-efficient technologies and the use of renewable energy sources (RES), providing an increase in energy resources, as well as environmental and social effects. One of the most relevant and promising areas of renewable energy development is the disposal and processing of organic waste in biogas plants, and this is particularly relevant in agricultural regions. In this regard, this paper considers the state and prospects for the development of bioenergy in agricultural regions of Uzbekistan, where half of the population of the republic lives. The potential of organic waste from livestock and poultry farming of the agricultural sector was determined, and it was revealed that the use of biogas plants for the disposal of manure and litter is clearly a profitable production and requires close attention from rural producers. The introduction of biogas technologies for the bulk of agricultural producers is an urgent task, that will ensure not only a solution to the waste problem, but it will also provide a solution to energy, agricultural, environmental and social problems in rural regions of the republic.


2020 ◽  
Author(s):  
Lyria Bennett Moses ◽  
Caroline Compton ◽  
Michael Murdocca ◽  
Heejin Kim ◽  
Andrew Ray ◽  
...  

Author(s):  
Judith González-Arias ◽  
Francisco M. Baena-Moreno ◽  
Miriam Gonzalez-Castaño ◽  
Harvey Arellano-García ◽  
Eric Lichtfouse ◽  
...  
Keyword(s):  

Molecules ◽  
2021 ◽  
Vol 26 (13) ◽  
pp. 3887
Author(s):  
Watcharapong Pudkon ◽  
Chavee Laomeephol ◽  
Siriporn Damrongsakkul ◽  
Sorada Kanokpanont ◽  
Juthamas Ratanavaraporn

Three-dimensional (3D) printing is regarded as a critical technology in material engineering for biomedical applications. From a previous report, silk fibroin (SF) has been used as a biomaterial for tissue engineering due to its biocompatibility, biodegradability, non-toxicity and robust mechanical properties which provide a potential as material for 3D-printing. In this study, SF-based hydrogels with different formulations and SF concentrations (1–3%wt) were prepared by natural gelation (SF/self-gelled), sodium tetradecyl sulfate-induced (SF/STS) and dimyristoyl glycerophosphorylglycerol-induced (SF/DMPG). From the results, 2%wt SF-based (2SF) hydrogels showed suitable properties for extrusion, such as storage modulus, shear-thinning behavior and degree of structure recovery. The 4-layer box structure of all 2SF-based hydrogel formulations could be printed without structural collapse. In addition, the mechanical stability of printed structures after three-step post-treatment was investigated. The printed structure of 2SF/STS and 2SF/DMPG hydrogels exhibited high stability with high degree of structure recovery as 70.4% and 53.7%, respectively, compared to 2SF/self-gelled construct as 38.9%. The 2SF/STS and 2SF/DMPG hydrogels showed a great potential to use as material for 3D-printing due to its rheological properties, printability and structure stability.


2021 ◽  
Vol 9 (7) ◽  
pp. 1457
Author(s):  
Julia Hassa ◽  
Johanna Klang ◽  
Dirk Benndorf ◽  
Marcel Pohl ◽  
Benedikt Hülsemann ◽  
...  

There are almost 9500 biogas plants in Germany, which are predominantly operated with energy crops and residues from livestock husbandry over the last two decades. In the future, biogas plants must be enabled to use a much broader range of input materials in a flexible and demand-oriented manner. Hence, the microbial communities will be exposed to frequently varying process conditions, while an overall stable process must be ensured. To accompany this transition, there is the need to better understand how biogas microbiomes respond to management measures and how these responses affect the process efficiency. Therefore, 67 microbiomes originating from 49 agricultural, full-scale biogas plants were taxonomically investigated by 16S rRNA gene amplicon sequencing. These microbiomes were separated into three distinct clusters and one group of outliers, which are characterized by a specific distribution of 253 indicative taxa and their relative abundances. These indicative taxa seem to be adapted to specific process conditions which result from a different biogas plant operation. Based on these results, it seems to be possible to deduce/assess the general process condition of a biogas digester based solely on the microbiome structure, in particular on the distribution of specific indicative taxa, and without knowing the corresponding operational and chemical process parameters. Perspectively, this could allow the development of detection systems and advanced process models considering the microbial diversity.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2431
Author(s):  
Roberto Murano ◽  
Natascia Maisano ◽  
Roberta Selvaggi ◽  
Gioacchino Pappalardo ◽  
Biagio Pecorino

Nowadays, most Italian biogas produces electricity even though recent political incentives are promoting biomethane from biogas by “upgrading” it. The aim of this paper is to focus on the regulatory framework for producing biomethane from new or already-existent anaerobic digestion plants. The complexity and lack of knowledge of the regulations on biofuel production and of anaerobic digested biomethane from waste and by-products create difficulties of both interpretation and application. Consequently, the aim of this paper is to analyze the regulations for producing biomethane, underline the critical issues and opportunities, and evaluate whether an electrical plant built in the last 10 years in Italy can really be converted to a biomethane plant, thereby lengthening its lifespan. Three case studies were considered to look more closely into applying Italian biomethane incentives and to simulate the types of incentivization in agriculture with examples based on certain fuel types typical of a standard biomethane plant of 500 standard cubic meter per hour. All the considered cases put in evidence that biomethane is a further opportunity for development with a high level of efficiency for all biogas producers, especially for many biogas plants whose incentivization period is about to finish.


Entropy ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. 743
Author(s):  
Xi Liu ◽  
Shuhang Chen ◽  
Xiang Shen ◽  
Xiang Zhang ◽  
Yiwen Wang

Neural signal decoding is a critical technology in brain machine interface (BMI) to interpret movement intention from multi-neural activity collected from paralyzed patients. As a commonly-used decoding algorithm, the Kalman filter is often applied to derive the movement states from high-dimensional neural firing observation. However, its performance is limited and less effective for noisy nonlinear neural systems with high-dimensional measurements. In this paper, we propose a nonlinear maximum correntropy information filter, aiming at better state estimation in the filtering process for a noisy high-dimensional measurement system. We reconstruct the measurement model between the high-dimensional measurements and low-dimensional states using the neural network, and derive the state estimation using the correntropy criterion to cope with the non-Gaussian noise and eliminate large initial uncertainty. Moreover, analyses of convergence and robustness are given. The effectiveness of the proposed algorithm is evaluated by applying it on multiple segments of neural spiking data from two rats to interpret the movement states when the subjects perform a two-lever discrimination task. Our results demonstrate better and more robust state estimation performance when compared with other filters.


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