Temat: absorption - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Investigation of Effects of the Amine Solutions Composition on Carbon Dioxide Absorption Rate and Capacity
Autorzy:: Tatarczuk, Adam
Wilk, Andrzej
Krótki, Aleksander
Śpiewak, Dariusz
Więcław-Solny, Lucyna
Wydawca:: VŠB-TU Ostrava
Opis:: Increasing importance of CO2 emission reduction cause necessity to find the most effective separation method of this gas from flue gases. The most promising seems to be a chemical absorption in aqueous solutions of alkanolamines. In order to reduce high energy consumption of this process, it is necessary to develop new solutions which will be characterized by the best absorption rate and capacity e.g. through the appropriate composition of amine blends. Experiments were carried out on the solutions containing primary amines, tertiary amines, sterically amines, cyclic amines and organic liquids. The experiments included CO2 absorption equilibriums and rate determination for temperature range 20-60 deg. C. The results showed a beneficial effect of using blends containing primary amines and sterically hindered amines with organic liquids on both the absorption rate and the absorption capacity.
Andrzej Wilk
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 2.

Tytuł:: Modeling of CO2 solubility in aqueous amine solutions using hybrid neural network
Autorzy:: Tatarczuk, Adam
Wilk, Andrzej
Stec, Marcin
Wydawca:: VŠB – Technical University of Ostrava
Opis:: The use of chemical absorption with amine aqueous solutions has become of great interest as potential post-combustion CO2 removal process. In such processes, knowledge of solution equilibrium conditions is essential and is necessary to design CO2 treating equipment. Model of solubility of CO2 in N-methylidiethanolamine (MDEA) aqueous solution is presented. Model, based on well-known Kent-Eisenberg structure, was combined with neural network. Such combination forms hybrid neural network model. Neural network was used to determine amine protonation equilibrium constant and further was employed in hybrid neural network to predict equilibrium partial pressure of CO2 over MDEA aqueous solution in different temperatures and for various solution concentrations. Results show very good agreement between model and experimental data.
Marcin Stec
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 3.

Tytuł:: On Influence Of Delayed Adaptation Of Inflatable Structure For Evacuation Of People At Heights
Autorzy:: Popławski, Błażej
Faraj, Rami
Gabryel, Dorian
Wydawca:: ECCOMAS Proceedia
Cytata wydawnicza:: Popławski B., Faraj R., Gabryel D., On Influence Of Delayed Adaptation Of Inflatable Structure For Evacuation Of People At Heights, 10th ECCOMAS Thematic Conference on Smart Structures and Materials, DOI: 10.7712/150123.9803.444290, pp.1-9, 2023
Opis:: Our study presents the research on elaboration of a novel type of the rescue air cushion, which is an inflatable structure used by fire brigades for evacuation of people at heights. The goal of our work is to increase its injury prevention capabilities. We consider the system based on an airframe filled with a compressed gas and a double-chamber airbag, which exchanges the air with environment. Discussed research includes modelling of the system, numerical simulations of its dynamic behavior and description of the dedicated adaptive solution. Practical implementations of the original ideas are conducted using the rescue cushion in 1:2 scale and a full-scale demonstrator of semi-passive valves. According to the already obtained results it is experimentally proven that a significant improvement of the system’s characteristics can be achieved by introducing valves of simple construction [1]. In this study the influence of a delayed start of the adaptation procedure is investigated in detail. Obtained conclusions are used in order to indicate directions of further system development, which will concern, among others, estimation of the impacting body trajectory and identification of the impact position.
This work was financially supported by the National Centre for Research and Development (NCBiR) under the grant agreement LIDER/13/0063/L-10/18/NCBR/2019. This research was funded in part by the National Science Centre, Poland (2021/41/N/ST8/04302). For the purpose of Open Access, the authors have applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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