scholarly journals A Review of the State of the Art of Biomethane Production: Recent Advancements and Integration of Renewable Energies

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4895
Author(s):  
Francesco Calise ◽  
Francesco Liberato Cappiello ◽  
Luca Cimmino ◽  
Massimo Dentice d’Accadia ◽  
Maria Vicidomini
Keyword(s):  
Mathematical Modeling ◽  
Anaerobic Digestion ◽  
Waste Treatment ◽  
Renewable Energy Sources ◽  
Transport Sector ◽  
Funding Policies ◽  
Biomethane Production ◽  
Organic Waste Treatment ◽  
Photovoltaic Plants ◽  
And Control

Anaerobic Digestion (AD) is a well-established process that is becoming increasingly popular, especially as a technology for organic waste treatment; the process produces biogas, which can be upgraded to biomethane, which can be used in the transport sector or injected into the natural gas grid. Considering the sensitivity of Anaerobic Digestion to several process parameters, mathematical modeling and numerical simulations can be useful to improve both design and control of the process. Therefore, several different modeling approaches were presented in the literature, aiming at providing suitable tools for the design and simulation of these systems. The purpose of this study is to analyze the recent advancements in the biomethane production from different points of view. Special attention is paid to the integration of this technology with additional renewable energy sources, such as solar, geothermal and wind, aimed at achieving a fully renewable biomethane production. In this case, auxiliary heat may be provided by solar thermal or geothermal energy, while wind or photovoltaic plants can provide auxiliary electricity. Recent advancements in plants design, biomethane production and mathematical modeling are shown in the paper, and the main challenges that these fields must face with are discussed. Considering the increasing interest of industries, public policy makers and researchers in this field, the efficiency and profitability such hybrid renewable solutions for biomethane production are expected to significantly improve in the next future, provided that suitable subsidies and funding policies are implemented to support their development.

scholarly journals Mathematical Analysis and Update of ADM1 Model for Biomethane Production by Anaerobic Digestion

Fermentation ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. 237
Author(s):  
Stefano Bertacchi ◽  
Mika Ruusunen ◽  
Aki Sorsa ◽  
Anu Sirviö ◽  
Paola Branduardi
Keyword(s):  
Mathematical Modeling ◽  
Anaerobic Digestion ◽  
Mathematical Analysis ◽  
Microbial Growth ◽  
Point Of View ◽  
Microbial Consortia ◽  
Complex Nature ◽  
Substrate Consumption ◽  
Biomethane Production ◽  
Informatics Tools

Biomethane is a renewable product that can directly substitute its fossil counterpart, although its synthesis from residual biomasses has some hurdles. Because of the complex nature of both biomasses and the microbial consortia involved, innovative approaches such as mathematical modeling can be deployed to support possible improvements. The goal of this study is two-fold, as we aimed to modify a part of the Anaerobic Digestion Model No. 1 (ADM1), describing biomethane production from activated sludge, matching with its actual microbial nature, and to use the model for identifying relevant parameters to improve biomethane production. Firstly, thermodynamic analysis was performed, highlighting the direct route from glucose to biomethane as the most favorable. Then, by using MATLAB® and Simulink Toolbox, we discovered that the model fails to predict the microbiological behavior of the system. The structure of the ADM1 model was then modified by adding substrate consumption yields in equations describing microbial growth, to better reflect the consortium behavior. The updated model was tested by modifying several parameters: the coefficient of decomposition was identified to increase biomethane production. Approaching mathematical models from a microbiological point of view can lead to further improvement of the models themselves. Furthermore, this work represents additional evidence of the importance of informatics tools, such as bioprocess simulations to foster biomethane role in bioeconomy.

scholarly journals Phase Separation in Anaerobic Digestion: A Potential for Easier Process Combination?

2021 ◽  
Vol 3 ◽  
Author(s):  
Eike Janesch ◽  
Joana Pereira ◽  
Peter Neubauer ◽  
Stefan Junne
Keyword(s):  
Phase Separation ◽  
Anaerobic Digestion ◽  
System Integration ◽  
Energy Use ◽  
Biogas Production ◽  
Renewable Energy Sources ◽  
Economic Feasibility ◽  
Monitoring And Control ◽  
Multi Stage ◽  
And Control

The flexibilization of bioenergy production has the potential to counteract partly other fluctuating renewable energy sources (such as wind and solar power). As a weather-independent energy source, anaerobic digestion (AD) can offer on-demand energy supply through biogas production. Separation of the stages in anaerobic digestion represents a promising strategy for the flexibilization of the fermentative part of biogas production. Segregation in two reactor systems facilitates monitoring and control of the provision of educts to the second methanogenic stage, thus controlling biogas production. Two-stage operation has proven to reach similar or even higher methane yields and biogas purities than single-stage operation in many different fields of application. It furthermore allows methanation of green hydrogen and an easier combination of material and energy use of many biogenic raw and residual biomass sources. A lot of research has been conducted in recent years regarding the process phase separation in multi-stage AD operation, which includes more than two stages. Reliable monitoring tools, coupled with effluent recirculation, bioaugmentation and simulation have the potential to overcome the current drawbacks of a sophisticated and unstable operation. This review aims to summarize recent developments, new perspectives for coupling processes for energy and material use and a system integration of AD for power-to-gas applications. Thereby, cell physiological and engineering aspects as well as the basic economic feasibility are discussed. As conclusion, monitoring and control concepts as well as suitable separation technologies and finally the data basis for techno-economic and ecologic assessments have to be improved.

Two-Stage anaerobic digestion in agroindustrial waste treatment: A review

2021 ◽  
Vol 281 ◽  
pp. 111854
Author(s):  
Paulo André Cremonez ◽  
Joel Gustavo Teleken ◽  
Thompson Ricardo Weiser Meier ◽  
Helton José Alves
Keyword(s):  
Anaerobic Digestion ◽  
Waste Treatment ◽  
Two Stage ◽  
Agroindustrial Waste

Operation and control of a stand-alone power system with integrated multiple renewable energy sources

2021 ◽  
pp. 0309524X2110241
Author(s):  
Nindra Sekhar ◽  
Natarajan Kumaresan
Keyword(s):  
Renewable Energy ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Solar Pv ◽  
Power Requirement ◽  
Squirrel Cage ◽  
Hysteresis Controller ◽  
Squirrel Cage Induction Generator ◽  
And Control

To overcome the difficulties of extending the main power grid to isolated locations, this paper proposes the local installation of a combination of three renewable energy sources, namely, a wind driven DFIG, a solar PV unit, a biogas driven squirrel-cage induction generator (SCIG), and an energy storage battery system. In this configuration one bi-directional SPWM inverter at the rotor side of the DFIG controls the voltage and frequency, to maintain them constant on its stator side, which feeds the load. The PV-battery also supplies the load, through another inverter and a hysteresis controller. Appropriately adding a capacitor bank and a DSTATCOM has also been considered, to share the reactive power requirement of the system. Performance of various modes of operation of this coordinated scheme has been studied through simulation. All the results and relevant waveforms are presented and discussed to validate the successful working of the proposed system.

scholarly journals Integration and control of lithium-ion BESSs for active network management in smart grids: Sundom smart grid backup feeding case

2021 ◽  
Author(s):  
Chethan Parthasarathy ◽  
Hossein Hafezi ◽  
Hannu Laaksonen
Keyword(s):  
Smart Grid ◽  
Network Management ◽  
Smart Grids ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Lithium Ion ◽  
Active Network ◽  
Li Ion ◽  
Grid Side ◽  
And Control

AbstractLithium-ion battery energy storage systems (Li-ion BESS), due to their capability in providing both active and reactive power services, act as a bridging technology for efficient implementation of active network management (ANM) schemes for land-based grid applications. Due to higher integration of intermittent renewable energy sources in the distribution system, transient instability may induce power quality issues, mainly in terms of voltage fluctuations. In such situations, ANM schemes in the power network are a possible solution to maintain operation limits defined by grid codes. However, to implement ANM schemes effectively, integration and control of highly flexible Li-ion BESS play an important role, considering their performance characteristics and economics. Hence, in this paper, an energy management system (EMS) has been developed for implementing the ANM scheme, particularly focusing on the integration design of Li-ion BESS and the controllers managing them. Developed ANM scheme has been utilized to mitigate MV network issues (i.e. voltage stability and adherence to reactive power window). The efficiency of Li-ion BESS integration methodology, performance of the EMS controllers to implement ANM scheme and the effect of such ANM schemes on integration of Li-ion BESS, i.e. control of its grid-side converter (considering operation states and characteristics of the Li-ion BESS) and their coordination with the grid side controllers have been validated by means of simulation studies in the Sundom smart grid network, Vaasa, Finland.

scholarly journals Special Issue: “Wind Power Integration into Power Systems: Stability and Control Aspects”

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3680
Author(s):  
Lasantha Meegahapola ◽  
Siqi Bu
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Power Grids ◽  
Energy Sources ◽  
Low Carbon ◽  
Carbon Neutrality ◽  
Stability And Control ◽  
Wind Power Integration ◽  
And Control

Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to the clean and low-carbon renewable energy sources [...]

scholarly journals Modelling Stochastic Electricity Demand of Electric Vehicles Based on Traffic Surveys—The Case of Austria

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1577
Author(s):  
Albert Hiesl ◽  
Jasmine Ramsebner ◽  
Reinhard Haas
Keyword(s):  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Length Distribution ◽  
Electricity Demand ◽  
Transport Sector ◽  
Trip Purpose ◽  
Entire Country ◽  
Electricity Load ◽  
The Individual ◽  
Model Based Analysis

Battery-powered electric mobility is currently the most promising technology for the decarbonisation of the transport sector, alongside hydrogen-powered vehicles, provided that the electricity used comes 100% from renewable energy sources. To estimate its electricity demand both nationwide and in individual smaller communities, a calculation based assessment on driving profiles that are as realistic as possible is required. The developed model based analysis presented in this paper for the creation of driving and thus electricity load profiles makes it possible to build different compositions of driving profiles. The focus of this paper lies in the analysis of motorised private transport, which makes it possible to assess future charging and load control potentials in a subsequent analysis. We outline the differences in demand and driving profiles for weekdays as well as for Saturdays, Sundays and holidays in general. Furthermore, the modelling considers the length distribution of the individual trips per trip purpose and different start times. The developed method allows to create individual driving and electric vehicle (EV) demand profiles as well as averaged driving profiles, which can then be scaled up and analysed for an entire country.

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