Abstract
The paper introduces the artificial intelligence (AI) approach for modeling fluidized adsorption beds. The idea of fluidized bed application allows a significantly increased heat transfer coefficient between adsorption bed and the surface of a heat exchanger, improving the performance of adsorption cooling and desalination systems. The Long Short-Term Memory (LSTM) network algorithm was used, classified as a deep learning method, to predict the vapor mass quantity in the adsorption bed. The research used an LSTM network with two hidden layers. The network used in the study is composed of seven inputs (absolute pressures in the adsorption chamber and evaporator, the temperatures in adsorption chamber and evaporator, relative pressure, the temperatures in the center of adsorption bed and 25 mm from the bed center, the kind of the solids mixture, the percentage value of the addition) and one output (mass of the sorption bed). The paper presents numerical research concerning mass prediction with the algorithm mentioned above for three sorbents in fixed ad fluidized beds. The results obtained by the developed algorithm of the LSTM network and the experimental tests are in good agreement of the matching the results above 0.95.
Highlights
The process when chemical compounds are bound to a solid phase is generally known as sorption.Adsorption occurs when adsorption of a substance takes place at the surface, while absorption occurs when the substance is absorbed in the entire volume of the solid phase
The test results network is shown in Figure 3; six such studies were performed as shown in Table from the the six six experiments experiments were were fed fed into into the the Long Short-Term Memory (LSTM)
All recurrent neural networks have the form of a chain of repeating modules of the neural network
Summary
The process when chemical compounds are bound to a solid phase is generally known as sorption. Adsorption occurs when adsorption of a substance takes place at the surface, while absorption occurs when the substance is absorbed in the entire volume of the solid phase. These processes can apply to volatile substances and particles dissolved in a liquid medium associated with the solid phase particles. The adsorption chillers [1] (Figure 1) are quiet, non-corrosive, reliable, environmentally friendly, and economical in operation appliances. They are consist of an evaporator, a condenser, separating valves, and a sorption bed. The adsorption chiller with silica gel-water, powered by a waste heat source, has been successfully commercialized in Japan [2].
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