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Non-thermal plasma reactors are a form of advanced technology used in a variety of applications, including sterilization, deposition, and surface treatment. Non-thermal plasma reactors are a type of plasma reactor that is not heated during operation.
Non-thermal plasma reactors utilize high frequency electric fields to create a plasma environment that can be used for a range of applications.
In a non-thermal plasma reactor, reactive species such as ions, electrons, radicals, and photons are produced in a controlled environment. These reactive species are then used to alter the properties of the target material.
Non-thermal plasma reactor technology is becoming increasingly popular due to its ability to modify a wide variety of materials without the need for traditional heating. In addition, non-thermal plasma reactors are able to deliver precise control over the reaction parameters and can be used in a wide range of applications.
For example, non-thermal plasma can be used to modify the surface of materials, such as metals, plastics, and polymers, to enhance their properties. It can also be used to sterilize surfaces and to deposit thin films.
Non-thermal plasma reactors offer a wide range of advantages, including low cost, low energy consumption, and the ability to operate at relatively low temperatures.
Additionally, they are relatively simple to operate and can be used in a range of industrial and laboratory applications. As such, non-thermal plasma reactors are becoming increasingly popular in a variety of industries, including medicine, electronics, and material processing.
The Global Non-Thermal Plasma Reactor Market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
A type of artificial biological treatment technology termed biological trickling filters (BTFs) was developed utilising a contact filter and an intermittent sand filter. Its development was founded on the ideas of sewage irrigation and soil self-purification.
The BTF has the benefit of requiring less energy and producing less biomass than an activated sludge system since it permits extended periods of hunger without washing off the biomass. For the treatment of wastewater from wineries, sewage treatment, dairy wastewater, and textile wastewater, this makes it effective.
The performance of treatment in the BTF process can be affected by a number of variables, including temperature, reflux ratio (RR), and dissolved oxygen (DO). So, a multistage BTF based on the A2O process (A2O–BTF) can boost the system’s reliability.
On the other hand, design and operation-related parameters must be optimised. For instance, physiological traits, microbial growth rate, microbial activity, and microbial community structure can all be significantly impacted by temperature.
The electron acceptor is oxygen, and the demand for oxygen and organic degradation are positively correlated. The reflux ratio (RR), which provides the backflow of nitrification liquid, is a crucial component that influences the process’s hydraulic and sludge retention times.
In addition, there is a strong correlation between RR and energy use. In steady-state modelling, the development of important bacteria in the nitrification process is limited due to the hydraulic load of BTF. Dynamic simulation can be utilised in this situation to examine the effluent’s change.
Utilising a three-stage BTF, the models developed with Sumo software were found to be feasible in order to solve the problems of low treatment efficiency in cold regions and optimal scheduling of BTFs under dynamic settings. By modifying the aeration method and using reflux units, the full-field simulation models of A2O–BTF were created.
Three-stage BTF, Single-BTF, and A2O-BTF sewage treatment methods were contrasted. temperature between 13.95 and 21.60 °C, DO in an aerobic aeration tank between 0.2 and 4 g O2/m3, and a mixed liquid reflux ratio between 0.5 and 2.5 were used to set the simulated parameters. The effects on COD, TN, NH3-N, and TP elimination were examined in relation to the operating parameters.
