scholarly journals Study of The Amount of Produced Animal Manure and Biogas Potential in a 5, 20 and 40 km Zone around Debrecen

2006 ◽  
pp. 64-68
Author(s):  
János Szendrei ◽  
Gábor Grasseli

The guiding principle for our research is that decentralized energy supply systems should be located near local consumers. One big, local market for energy from biogas plants in Hajdú-Bihar county is Debrecen. In the course of the investigation of biomass suitable for biogas production in the area of Debrecen, this study determines the quantity of biogas producible from animal manure. Municipalities around Debrecen were examined in circles with 40, 20 and 5 km radius. Livestock data of these settlements stem from the Agricultural Census in year 2000, actualized by the county trend of livestock changes. Manure quantity and biogas potential in these places are estimated with coefficients from the literature and our calculations. In the largest circle, about 1.4 million tons of manure is produced, from which round 94 million m3 biogas can be produced. Biomass produced in the settlements and producible biogas shows a remarkable trend of concentration, which supports our recommendation on the system of energy supply.

Author(s):  
Vyacheslav M. Kuzmin ◽  
◽  
Alexander V. Serikov ◽  
Irina P. Stepanova ◽  
◽  
...  

2021 ◽  
Vol 9 ◽  
Author(s):  
Rikke Lybæk ◽  
Tyge Kjær

This article investigates how biogas technology can facilitate the deployment of municipal circular bio-economic solutions within the energy and agrarian sectors in Denmark. The emphasis is on the regional climate policy and the existing biogas technology concepts, within a decentralized energy market located in the Southern part of Zealand. The case analysis will identify how such technology can be utilized as a lever for future “extraction-activities,” as for example protein, wax, and furfural substrates. Within Falster & Lolland Municipalities, it is identified that 800.000 tons of animal manure is readily available for biogas production, just as 880.000 tons and 220.000 tons of unused beet tops and residual cereal straw could be feed to biogas facilities as for example co-silage materials. With a potential gas yield of approximately 897.000 MWh, composed by the crop residues alone, the challenge is how to utilize such resources the most efficient when addressing future needs for bio-products and high value materials and energy. Through the lens of Circular Bio-Economy this article addresses three themes, by which biogas technology can become an “engine” for future bioenergy solutions, where cascading activities and use of side-streams are developed: 1) production of biogas by means of local agricultural residues (beet tops, residual straw, and animal manure), combined with 2) “extraction-activities” as furfural and wax from straw, as well as protein from beet tops. Besides this 3) opportunities for upgrading the biogas and distributing it on a natural gas network, hereby enlarging the supply market for energy services from the biogas plant and facilitating the development of a more “integrated energy system,” currently being promoted by the European Commission. This article concludes on a step-by-step approach to utilize biomass residues more efficiently in light of the CBE concept and cascading approach, and the available biomass resources within the specific case area addressed.


2015 ◽  
Vol 31 (4) ◽  
pp. 330-349
Author(s):  
Ane Katharina Paarup Meyer ◽  
Caroline Schleier ◽  
Hans-Peter Piorr ◽  
Jens Bo Holm-Nielsen

AbstractThis paper presents an assessment of the surplus grass production in the Region of Southern Denmark, and the perspectives of utilizing it in local biogas production. Grass production represents a significant role in the Danish agricultural sector. However, statistical data show an excess production of averagely 12% in the period 2006–2012. Based on spatial analyses and statistical data, the geographical distribution of grass production and consumption was estimated and mapped for the Region of Southern Denmark. An excess production of grass was estimated for several of the municipalities in the Region of Southern Denmark, but the excess production was found to be quite sensitive to the management practice of the grass fields and the productivity of the grass. The yields of excess grass estimated in the sensitive and conservative scenario were found to be sufficient to serve a sole co-substrate in 2–8 biogas plants using animal manure as primary feedstock. The yields in the intensive scenario were assessed to be sufficient to serve a sole co-substrate in 8–16 biogas plants. Alternatively, at least 31% of the regionally produced maize which is exported to the biogas sector could annually be substituted by methane produced from the production of excess grass. The intensive scenario was estimated to have significantly higher grass yields than the sensitive and conservative scenario. The environmental impacts of intensified agricultural management should, however, be assessed carefully in order to ensure that the ecosystems are not increasingly being burdened. The potential of utilizing residual grass for energy production in the region or as an alternative to the maize exported to Northern Germany, was concluded to seem as a promising possibility for a sustainable development of the regional biogas sector. Furthermore, it could provide incentives for establishing new biogas plants in the region and thereby increase the share of manure being digested anaerobically, which could help extrapolate the environmental and climate related benefits documented for the use of digested animal manure as fertilizer on agricultural land.


Energy ◽  
2017 ◽  
Vol 118 ◽  
pp. 590-599 ◽  
Author(s):  
Dinah Elena Majewski ◽  
Matthias Lampe ◽  
Philip Voll ◽  
André Bardow

2020 ◽  
Vol 61 (2) ◽  
pp. 339-349
Author(s):  
D.M. Tokarchuk ◽  
N.V. Pryshliak ◽  
O.A. Tokarchuk ◽  
K.V. Mazur

The use of biogas is one of the ways to supplement and partially replace traditional fuels in rural areas. The feasibility of farms’ energy supply from their own energy source and the need to reduce harmful emissions into the environment make the biogas plant an indispensable element of modern livestock complexes. The article considers the possibility of using biogas for energy supply of an agricultural enterprise. The schemes and design capabilities of biogas plant for small and medium size farms are considered. The list and volume of products that can be obtained from the operation of the biogas plant have been determined. Economic indicators of the use of animal manure for biogas production have been determined. A comparison of the cost-effectiveness of using biogas energy products has been conducted.


2016 ◽  
Vol 95 ◽  
pp. 38-48 ◽  
Author(s):  
Sebastian Goderbauer ◽  
Björn Bahl ◽  
Philip Voll ◽  
Marco E. Lübbecke ◽  
André Bardow ◽  
...  

2019 ◽  
Vol 2 (3) ◽  
pp. 164-169
Author(s):  
Mohammed Faza ◽  
Maulahikmah Galinium ◽  
Matthias Guenther

An energy supply system consists of a system of power plants and transmission anddistribution systems that supply electrical energy. The present project is limited to the modellingof the generation system. Its objective is the design and implementation of a web-basedapplication for simulating energy supply systems using the Laravel framework. The projectfocuses on six modules representing geothermal energy, solar energy, biopower, hydropower,storage, and fossil-based energy that are allocated to satisfy a given power demand. It isexecuted as a time series modelling for an exemplary year with hourly resolution. Thedevelopment of the software is divided into four steps, which are the definition of the userrequirements, the system design (activity, use case, system architecture, and ERD), the softwaredevelopment, and the software testing (unit testing, functionality testing, validity testing, anduser acceptance testing). The software is successfully implemented. All the features of thesoftware work as intended. Also, the software goes through validity testing using three differentinput data, to make sure the software is accurate. The result of the testing is 100% accuracy withrespect to the underlying model that was implemented in an excel calculation.


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