Reactor Feed Research Articles

Core‐Shell Catalyst Pellets for CO2 Methanation in a Pilot‐Scale Fixed‐Bed Reactor

AbstractPower‐to‐methane (PtM) offers an efficient opportunity for surplus renewable energy storage, but heat management is a major challenge for conducting the highly exothermic methanation reaction. To address this challenge, this study presents the first successful demonstration of core‐shell catalyst pellets in a pilot‐scale reactor for CO2 methanation. Experiments in a wall‐cooled fixed‐bed reactor are conducted with diluted and undiluted reactant feed under systematic variation of cooling temperature and inlet gas flow rate. The results show that core‐shell catalyst pellets significantly reduce the hot‐spot temperature while maintaining comparable reactant conversions to uncoated catalyst pellets at the same conditions. Additionally, core‐shell catalyst pellets allow for undiluted reactant feed at comparably low hot‐spot temperatures (approx. 600 °C).

Facilitating photocatalytic CO2 methanation via synergetic feed of photon-induced carriers and reactants over S-scheme BiVO4@TiO2 nanograss/needle arrays

Herein, a unique structure BiVO4@TiO2 nanograss/needle arrays S-scheme heterojunction photocatalyst for CO2 photoreduction reaction was created. The photocatalyst can drive electrons to the reactive spots spontaneously and continuously, which effectively tackles the problem of severe recombination and disordered migration of photogenerated carriers. Theoretical calculations and experimental results demonstrate that adding BMIM-BF4 ionic liquid to generate BMIM-*CO2 intermediate promotes CO2 activation and enrichment of reactants concentration around the catalytic sites. Benefiting from the sufficient electron supply of catalytic sites and reinforced reactants supply in the interfacial microenvironment, the BiVO4@TiO2 photocatalyst shows high selectivity and activity of CO2-to-CH4 conversion. The CH4 selectivity increased to 57.3 % (132.7 μmol m-2h−1) and the methanation activity was increased by 8.6 times in the 5.0 % BMIM-BF4 aqueous solution. Significantly, the BiVO4@TiO2 NNAs catalyst obtains a solar-to-fuels energy efficiency of ∼ 0.46 ‰ under ultraviolet-enhanced light sources without any sacrificial agent or co-catalyst. This work displays the relationship between reaction process factors (electron supply, CO2 molecule, and proton supply) and CO2 photoreduction activity and selectivity, giving new insight into achieving efficient CO2 photoreduction conversion.

Investigation of sustainable operation oriented- economic, process and environment based multi-criteria optimization of large scale methanol production plant

Methanol is one of the main raw materials and a building block for many essential chemicals in the industry, and it is widely produced from the synthesis gas. It is used as a fuel, solvent, inhibitor, antifreeze agent, and in producing a variety of chemicals including olefins and paraffin. The global demand for methanol is 70 million tons per year and it is estimated to grow by a factor of 6–8% per year so it is necessary to develop a methanol production process, which is economical, and environment friendly. The multi-objective optimization (MOO) approach is used to optimize the large scale Lurgi two-step methanol synthesis process using the non-dominated sorting genetic algorithm-II (NSGA-II) to find the Pareto front solutions involving the process, economic, and environmental-based objectives. Methanol production rate, total energy consumption, total annual CO2 emissions, and profit are considered as objectives. The five decision variables include syngas molar flow, reactor feed pressure, reactor 1 temperature, reactor 2 temperature, and by-product mass flow in the methanol distillation column. Two constraints are set on ethanol mole fraction in the methanol stream, and methanol mole flow in water to the treatment stream. Three optimization cases (two bi-objective and one tri-objective) are developed. In the Case 1 study, CO2 emissions decreased by 65.83%, the methanol production rate increased by 10.11%, and total energy was reduced by 57.55%. The Pareto ranking is carried out using the Preference Ranking On the Basis of Ideal-average Distance (PROBID) method and the best optimal solution is reported for all cases.

Modeling & experimental studies on enhancement of H2S conversion using catalytic membrane reactor for hydrogen production

Abstract Acidic gases such as H2S and CO2 are generated in the refineries during coal gasification. These pollutant gases need to be treated before releasing to the atmosphere. Conventionally, H2S gas is treated by Claus process in which H2S is converted to elemental S and H2O, in presence of O2 at ∼1,200 K. In the present energy scenarios, hydrogen has got importance as a source of clean fuel for industrial application. The H2S generated in the refineries can be a potential precursor of hydrogen. If this hydrogen can be obtained by thermal decomposition of H2S, that can increase the overall economic value of the H2S containing streams and the produced hydrogen can be used for hydrocracking and hydro-treating in refineries, as well as to synthesize value-added products for chemical industries. However, H2S thermal decomposition is an endothermic and equilibrium limited reaction (equilibrium conversion is only ∼15 % at 1,000 K), requiring a very high temperature (∼1,500 K) to achieve even a conversion of greater than 40 %. Packed Bed Catalytic Membrane Reactor (PBCMR) for thermal decomposition of H2S can be a potential technology augmentation and process intensification to increase this equilibrium conversion. In this work, modeling and experimental studies of H2S thermal decomposition using in-house designed & developed PBCMR have been carried out. The modeling studies were validated with experimental data. Clay-alumina ceramic tubular membrane (L: 250 mm; OD: 12 mm; thickness: 2 mm) was fabricated using extrusion process having an average membrane pore size of ∼1 μm and with a porosity of ∼20 %. Pt (2 %) coated alumina extrudes were used as catalyst to accelerate the reaction kinetics. Experimental studies showed that H2S to hydrogen conversion of ∼90 % is achieved using PBCMR at ∼1,523 K, compared to only ∼40 % conversion in a conventional packed bed tubular reactor (without membrane). Modelling studies were carried out to study the influence of operating parameters such as, reactor wall temperature, feed temperature, pressure and feed velocity. Studies showed that reactor wall temperature is having the most dominant effect on H2S conversion, which is confirmed by experimental findings. The studies offer useful insights into the application of PBCMR technology for management of waste gas stream containing H2S and recovery of hydrogen.

Optimization of ammonia production unit using polymeric membrane: Re-design of ammonia synthesis reactor feeding strategy and methane removal

The optimization of an industrial-scale ammonia production reactor is studied in the present work by re-designing the ammonia synthesis reactor and using a membrane. After simultaneous modeling and simulation of the ammonia synthesis reactor and the membrane unit, the maximization of ammonia production rate was investigated. The simulation results for a single pass through the reactor showed that removing methane, increasing the nitrogen flow, and combining these two cases increased ammonia production efficiency by 1 %, 15 %, and 19 %, respectively. Furthermore, for the reactor with the recycle stream, the efficiency of ammonia production can be increased by 2.74 % by re-designing the feeding strategy and optimization of the reactor. For this purpose, the PFMMD–CTFE copolymer membrane with a total area of 1550 m2 is required to separate methane, and the cellulose acetate membrane with a total area of 1343.9 m2 should be used to provide the required amount of nitrogen injection.

Green iron and syngas production via continuous solar-driven agricultural waste biomass gasification combined with iron(III) oxide reduction

The production of renewable synthetic fuels and chemicals from solar energy and agricultural waste biomass is considered. Solar thermochemical conversion processes offer a promising pathway to a sustainable fuel economy and green chemical industry. This study investigates the continuous solar-driven gasification of agricultural biomass (betel nut waste) combined with iron oxide (Fe2O3) reduction to produce carbon-neutral syngas and green metallic iron in a single process. A thermodynamic analysis of the system was initially conducted to predict the distribution of equilibrium products. Then, on-sun continuous processing was experimentally carried out under different operating conditions, including betel/Fe2O3 molar ratios (0.56–1.5) and temperatures (900–1200 °C) to evaluate the process feasibility and reliability. As a result, solar gasification of betel nut waste combined with Fe2O3 reduction performed exceptionally well with continuous reactant particles feeding, demonstrating a feasible pathway for producing green iron and high-quality syngas. The maximum syngas yield reached 63.3 mmol/gdry_betel, approaching its theoretical value, and high-purity Fe was simultaneously produced. The process demonstrated high efficiency, with maximum carbon conversion approaching 98 %, energy upgrade factor up to 1.26, and solar-to-fuel energy conversion efficiency up to 14.4 %, highlighting remarkable conversion performance of biomass and solar energy to chemicals.

Application of rotating cone reactor for continuous biodiesel production: Effect of cone geometry and optimization of operating variables through response surface methodology (RSM)

The work developed a rotating cone reactor (RCR) as a promising multifunctional reactor for continuous biodiesel production from refined palm oil (RPO) homogeneously catalysed by NaOH. The effects of rotating cone geometry, rotational speed, catalyst amount, and reactant feed flow rate on FAME yield were investigated. Response surface methodology (RSM) and the Design Expert software were used to optimize the operating variables. The grooved cone surface was found to play an important role in increasing FAME yield. The model predicted a maximum FAME yield of 96.9 % at the process conditions of NaOH loading of 0.602 wt.% of oil, a feed flow rate of 298 mL/min, and a rotational speed of 751 rpm. It provided a high yield efficiency of 1.324 × 10−3 g/J and a high productivity of 0.715 mol/min at a very short residence time of 2 – 3 s. This resulted in a significant reduction in transesterification time, suggesting that the RCR is a promising multifunctional reactor for economical continuous biodiesel production.

Temperature-dependent transformation of decavanadate-type {V10O28}6- clusters into {V3O7}- layer structures mediated by 3-quinuclidinol as a structural templating agent: Crystal architectures and mechanism

In this study, two novel vanadate with different dimensions were prepared by hydrothermal synthesis using 3-quinuclidinol as the structural templating agent, namely, zero-dimensional decavanadate [(C7H14NO)6(V10O28)]·2H2O (1) and two-dimensional vanadate [C7H14NO][V3O7]·H2O (2). At a low reaction temperature of 373 K, only crystal 1 is produced. As the reaction temperature is increased in the range of 393–473 K, {V10O28}6- clusters can transform into {V3O7}- layers and the ratio of the transformation gradually increases, resulting in the formation of crystal 2. To our knowledge, this is the first study to achieve a controllable transformation of the vanadium-oxygen anion structure with different dimensions solely through adjusting the reaction temperature, without changing the reactant type and feed ratio. The transformation mechanism also was investigated. The results show that the transformation is caused by the redox reaction between 3-quinuclidinol with {V10O28}6- polyoxoanion. Moreover, 2 possesses a large layer spacing due to the large 3-quinuclidinol cations acting as the “pillar”, resulting in exhibiting good capacity performance (262.4 mAh g−1 at 0.1 A g−1) as the cathode material for aqueous zinc ion batteries. This study not only provides a viable approach for the temperature-tuned transformation of different dimensional vanadium-oxygen anion structures, but also proves that layered vanadate containing large cations are potential high-capacity cathode materials for AZIBs.

A porous media catalyst for waste polyethylene pyrolysis in a continuous feeding reactor

This study investigated the catalytic pyrolysis of waste polyethylene (PE) using a ZSM-5/Al2O3 porous media catalyst in a continuous feeding mode. The findings revealed that the porous media catalyst with 100 mm height and 40 PPI (pore per inch) pore size had the supreme catalytic performance, which could obtain the highest pyrolysis oil yield and the light fraction (<C12) and aromatics in the oil, and improve the catalytic stability of the porous media catalyst. The optimal operating conditions were the pyrolysis temperature of 460 °C, the carrier gas velocity of 65 mL/min, and the plastic feeding rate of 25 g/h, of which the light fraction and aromatics in the oil were up to 95.25 % and 97.33 %. Moreover, the catalytic cycling performance of the porous media catalyst was thoroughly investigated. The catalytic activity declined and the catalyst deactivation rate decreased after multiple regeneration cycles. This study presents a comprehensive investigation of waste PE catalytic cracking using the porous media catalyst in continuous feeding mode, which can provide insightful guidance on the industrialization of plastic waste valorization.

Methanol Synthesis from Sustainable Feedstocks – A Quantitative Side Product Analysis

AbstractMethanol synthesis from sustainable feedstocks will play an important role in the future's energy system. To enable an accurate design of crude methanol distillation systems, detailed knowledge about the amounts of side products in crude methanol is required. In this study, crude methanol samples obtained from four experimental setups covering a wide range of process conditions were analyzed for their main and side compounds. By means of a Spearman correlation analysis, the amount of carbon oxides in the reactor feed was identified as determining for the formation of side products. Trend lines describing the amount of side products were derived from the experimental data to enable studies on the downstream treatment of crude methanol.

Molar-scale formate production via enzymatic hydration of industrial off-gases

Decarbonizing the steel industry, a major CO2 emitter, is crucial for achieving carbon neutrality. Escaping the grip of CO combustion methods, a key contributor to CO2 discharge, is a seemingly simple yet formidable challenge on the path to industry-wide net-zero carbon emissions. Here we suggest enzymatic CO hydration (enCOH) inspired by the biological Wood‒Ljungdahl pathway, enabling efficient CO2 fixation. By employing the highly efficient, inhibitor-robust CO dehydrogenase (ChCODH2) and formate dehydrogenase (MeFDH1), we achieved spontaneous enCOH to convert industrial off-gases into formate with 100% selectivity. This process operates seamlessly under mild conditions (room temperature, neutral pH), regardless of the CO/CO2 ratio. Notably, the direct utilization of flue gas without pretreatment yielded various formate salts, including ammonium formate, at concentrations nearing two molar. Operating a 10-liter-scale immobilized enzyme reactor feeding live off-gas at a steel mill resulted in the production of high-purity formate powder after facile purification, thus demonstrating the potential for decarbonizing the steel industry.

Performance Improvement of Flow Rate of Spiral Chip Feeder in Domestic Cattle Manure monitor Making Machine

The abstract outlines a study focused on the stability and effectiveness of a screw feeding mechanism designed for the outlet of pulping material in a screw reactor. This reactor functions as a continuous system where material is transported and mixed by a screw (augur). The study emphasizes the importance of operational conditions in influencing the process outcomes. To efficiently understand and optimize the system, the researchers employed modelling techniques, which are often quicker and more cost-effective than conducting experiments. The paper provides a comprehensive list of modelling approaches, both validated by experiments and theoretical, that is applicable to various aspects of screw reactor operation. Additionally, the study delves into new product development, specifically shaping a conical screw feeding reactor along with its shaft and flights design. A crucial aspect analyzed is the radial force effect on the flight surface during spiral rotation. Structural engineering techniques were employed to ensure the sustainability of the design, with validation results confirming its effectiveness. Keywords: Screw, Radial Force, Pulping Material

Process intensification in flow chemistry using micro and millidevices: Numerical simulations of the syntheses of three different intermediate API compounds for diabetes mellitus drug production

Microreactor Technology (MRT) appears as an interesting alternative for process intensification, including the development of continuous synthesis of fine chemicals and Active Pharmaceutical Ingredients (API). The inherent proposal of MRT is to reduce the scale-up time by simply increasing the number of microreactors in parallel, the numbering-up concept using optimal designed micro or millidevices. Among the API, rosiglitazone and lobeglitazone are derivatives of thiazolidine-2,4-dione (TZD), which is used as a building block, for molecules with biological activity, sensitive to insulin and, thus, with its administration the body makes better use of the insulin it produces, being an important structural element in medicinal chemistry, especially for type 2 diabetes mellitus, one of the biggest concerns in the health area worldwide, affecting nowadays more than 180 million people. The numerical assessment of MRT for various API synthesis related to type 2 diabetes mellitus drugs indicates its comparable or superior performance compared to traditional batch process. Specifically, proposed micromixer designs facilitate successful scale-up to milliscale while maintaining microscale performance, with significantly lower pressure drops than commercial Asia microreactors. The proposed flow distributors offer good performance in ensuring uniform distribution across outlets due to their conical shape design and laminar flow regime, with low pressure drops. The flow distributor with eights outlet is preferred for higher flow rates due to its superior performance, minimizing the pressure drops. Efficient flow rate and molar concentration control at each reactor unit can be ensured by using one distributor for each reactant's feed stream. This approach guarantees accurate concentration, flow rate control and ideal residence time, ultimately facilitating higher total throughput for scale-up. The potential use of micromixer actuators lies in its ability to maintain or enhance performance while transitioning from micro to milli-scale, offering promising alternatives for process intensification and scale-up in pharmaceutical synthesis, particularly for medications targeting type 2 diabetes mellitus.

Multiscale Investigation of the Mechanism and Selectivity of CO2 Hydrogenation over Rh(111).

CO2 hydrogenation over Rh catalysts comprises multiple reaction pathways, presenting a wide range of possible intermediates and end products, with selectivity toward either CO or methane being of particular interest. We investigate in detail the reaction mechanism of CO2 hydrogenation to the single-carbon (C1) products on the Rh(111) facet by performing periodic density functional theory (DFT) calculations and kinetic Monte Carlo (kMC) simulations, which account for the adsorbate interactions through a cluster expansion approach. We observe that Rh readily facilitates the dissociation of hydrogen, thus contributing to the subsequent hydrogenation processes. The reverse water-gas shift (RWGS) reaction occurs via three different reaction pathways, with CO hydrogenation to the COH intermediate being a key step for CO2 methanation. The effects of temperature, pressure, and the composition ratio of the gas reactant feed are considered. Temperature plays a pivotal role in determining the surface coverage and adsorbate composition, with competitive adsorption between CO and H species influencing the product distribution. The observed adlayer configurations indicate that the adsorbed CO species are separated by adsorbed H atoms, with a high ratio of H to CO coverage on the Rh(111) surface being essential to promote CO2 methanation.

Fundamental drying and agglomeration experiments with bio-fraction and refuse derived fuel for the development of pyrolysis reactor feed.

The EU's circular economy concept necessitates increasing the recycling ratio of municipal solid wastes. There are many existing mechanical-biological processing plants in Hungary for the preparation of residual municipal solid wastes (RMSWs). The two most important products of these plants are the bio-fraction and the refuse derived fuel (RDF). Currently, there are problems with both of these material streams in Hungary, since most of the bio-fraction is still landfilled, and the local thermal utilisation of the RDF has not been implemented yet. The high moisture content of the produced bio-fraction and RDF causes difficulties for the downstream operations; therefore, there is recent engineering interest in drying and agglomeration of these materials. The authors have carried out systematic and parallel drying and briquetting experimental series to study the effect of the material, material composition, mass (volume or surface) of the material, particle size distribution and pre-treatment with a cutting mill on drying intensity in a 1 m3 oven and their effect on briquettability by a laboratory briquette press. The initial slope of the relative moisture loss as function of time was determined. Process engineering design methods of convective hot air-drying can be further developed taking into account the research results. Results can be used for the design of the feed of a pyrolysis reactor once reactor experiments have provided the optimal feed requirements.

Surrogate model-based optimization of methanol synthesis process for multiple objectives: A pathway towards achieving sustainable development goals

This work combines a generalized regression neural network (GRNN) with a non-dominated sorting genetic algorithm (NSGA-II) to optimize a methanol synthesis plant for multiple objectives. The proposed method begins by developing and validating the model for the methanol synthesis involving the recycling of unreacted gas stream into the methanol reactor feed. The data generated using this model is used to develop a GRNN-based surrogate model to expedite the evaluation of fitness values for the optimization algorithm. The objective functions considered for simultaneous optimization are minimizing the total energy cost per unit of energy input (TEC), maximizing overall resource utilization (R), and minimizing CO2-gram equivalent emissions per unit of energy input (EPEI). Pareto optimal solutions are obtained for three bi-and one tri-objective optimization case studies using the GRNN-assisted multi-objective optimization (GRNNAMOO) method. The developed GRNNAMOO approach reduces the computational time from multiple days to a few seconds for all case study scenarios. For the tri-objective optimization case, the operating point selected using multi-criteria decision-making achieves 84.37% of R, 10.45 $/GJ of TEC, and an EPEI value of 81.34 gCO2eq/MJ. These results represent 7.05% higher R, 0.34 $/GJ lower TEC, and 0.82 gCO2eq/MJ lower EPEI than the Aspen plus simulation results. Further, the carbon footprint values obtained are significantly lower than 110 gCO2eq/MJ reported for modern methanol plants for nearly the same R and TEC values. The proposed approach aligns with the United Nations' sustainability development goals by lowering energy costs and promoting sustainable energy through improved environmental sustainability in methanol production plants.

Boosted growth rate using discrete reactant feeding method and novel precursor of indium oxide by atomic layer deposition

This paper proposes the introduction of a novel Pentylcyclopentadienyl indium(I) precursor, named PeCpIn, which remains in a liquid state at room temperature. Alongside introducing the new precursor, we propose a different deposition method called the 'Discrete Reactant Feeding (DRF)' method, distinct from the conventional single reactant feeding (SRF) method. Through the new DRF method, In2O3 films exhibited an exceptionally high growth rate exceeding 2.2 Angstroms/cycle over a broad temperature range of 200–400 ℃, in contrast to the 1.3 Angstroms/cycle of the traditional SRF method. The In2O3 films produced by the DRF method showed negligible low carbon impurities detected by XPS below the detection limit at all temperatures, achieving high-quality In2O3 films with an O/In ratio close to ideal In2O3. Due to the unique mechanism of DRF, consistent crystallinity, low oxygen defects, and few hydrogen impurities below 1% were observed at all temperatures. Additionally, the high step coverage of over 95%, demonstrated in trench structures with a high aspect ratio of 40:1, underscores the suitability of In2O3 films produced using the DRF method for application in the semiconductor industry.

Carbon dioxide reduction utilizing a bismuth halide perovskite as immobilized photocatalyst in a 3D printed microreactor

The rising concerns about CO2 levels in the atmosphere and energy dependency on non-renewable sources, such as fossil fuels, could find an integral solution in CO2 photocatalytic reduction. The present work explores two alternatives to the main hindering factors for this reaction, i.e. the reactor configuration and the photocatalyst utilized. A microreactor was designed and 3D printed, providing a cheap and versatile reaction platform. Three bismuth halide perovskites, Cs3Bi2Cl9, Cs3Bi2I9, and Cs4MnBi2Cl12, were synthesized and characterized by their band gaps (Eg ); Cs3Bi2I9 presented the lowest Eg and was therefore chosen for further evaluation as potential CO2-reduction photocatalyst. Aqueous-phase photocatalytic CO2 reduction was achieved using this perovskite in the microreactor, obtaining CO as a reduction product with maximal production rates of 737 μmol gcat −1 h−1. The reaction system was evaluated under different flow rates and light intensities. A balance between space-time and reactant feed was found to define the behavior of CO concentration and production in the microreactor. For the light intensity, it was observed that as it increased, both CO production and concentration increased due to generating more electron–hole pairs, favoring the photocatalytic reaction. With these results, Cs3Bi2I9 perovskite immobilized in the designed microreactor demonstrates having great potential as an effective CO2 photocatalytic reduction system.

Highly efficient biosynthesis of salidroside by a UDP-glucosyltransferase-catalyzed cascade reaction.

Salidroside is an important plant-derived aromatic compound with diverse biological properties. The main objective of this study was to synthesize salidroside from tyrosol using UDP-glucosyltransferase (UGT) with in situ regeneration of UDP-glucose (UDPG). The UDP-glucosyltransferase 85A1 (UGT85A1) from Arabidopsis thaliana, which showed high activity and regioselectivity towards tyrosol, was selected for the production of salidroside. Then, an in vitro cascade reaction for in situ regeneration of UDPG was constructed by coupling UGT85A1 to sucrose synthase from Glycine max (GmSuSy). The optimal UGT85A1-GmSuSy activity ratio of 1:2 was determined to balance the efficiency of salidroside production and UDP-glucose regeneration. Different cascade reaction conditions for salidroside production were also determined. Under the optimized condition, salidroside was produced at a titer of 6.0g/L with a corresponding molar conversion of 99.6% and a specific productivity of 199.1mg/L/h in a continuous feeding reactor. This is the highest salidroside titer ever reported so far using biocatalytic approach.

The new concept of MIEX® resin dose categories. swelling effect, reactor steady-state balance, and nom removal process control

The use of powdered adsorbents for water purification has many advantages and one major drawback – lack of regeneration due to difficulty in separating powdered particles. This weakness is attempted to be broken by powdered magnetic adsorbents, in particular magnetic ion exchange resins, used to remove natural organic matter (NOM) from water. In this water treatment process, NOM removal is controlled by the adsorbent content in the reactor (adsorbent dose) and the degree of its saturation. The control over the dose and saturation is done by mutual relations between the regenerated resin stream directed to the reactor and the saturated resin stream received from the reactor. An obstacle in balancing these streams is a variable volume of the adsorbent resulting from its varied swelling, depending on the features of the solution and saturation of the adsorbent. For this reason, it was proposed to distinguish new resin dose and content categories adequate to these changes, the use of which allows full control of both streams. Thus, the reactor feed stream was associated with relative fresh resin content (RRC) and relative fresh resin dose (RRD), which indicate the volume occupied by the regenerated adsorbent in the solution of water during purification. However, the stream received from the reactor was associated with saturated resin content (SRC) and saturated resin dose (SRD), which indicate the volume occupied by saturated adsorbent in the solution of water under treatment. In turn, these two categories of contents/doses are related to the swelling degree (hSR). Another role was assigned to the third dose category, which is absolute fresh resin dose (ARD), referring to the volume occupied by the regenerated adsorbent in the solution of demineralized water. Thanks to two key features with reference properties (demineralized water, regenerated adsorbent), ARD allows one to transfer laboratory results to practice and to compare the results of various research. The resin loss factor described by the ηLS indicator was also included in this structure.