Hot Carbonate Research Articles

Biomimetic CO2 Capture Unlocked through Enzyme Mining: Discovery of a Highly Thermo- and Alkali-Stable Carbonic Anhydrase.

Taking immediate action to combat the urgent threat of CO2-driven global warming is crucial for ensuring a habitable planet. Decarbonizing the industrial sector requires implementing sustainable carbon-capture technologies, such as biomimetic hot potassium carbonate capture (BioHPC). BioHPC is superior to traditional amine-based strategies due to its eco-friendly nature. This innovative technology relies on robust carbonic anhydrases (CAs), enzymes that accelerate CO2 hydration and endure harsh industrial conditions like high temperature and alkalinity. Thus, the discovery of highly stable CAs is crucial for the BioHPC technology advancement. Through high-throughput bioinformatics analysis, we identified a highly thermo- and alkali-stable CA, termed CA-KR1, originating from a metagenomic sample collected at a hot spring in Kirishima, Japan. CA-KR1 demonstrates remarkable stability at high temperatures and pH, with a half-life of 24 h at 80 °C and retains activity and solubility even after 30 d in a 20% (w/v) K2CO3/pH 11.5 solution─a standard medium for HPC. In pressurized batch reactions, CA-KR1 enhanced CO2 absorption by >90% at 90 °C, 20% K2CO3, and 7 bar. To our knowledge, CA-KR1 constitutes the most resilient CA biocatalyst for efficient CO2 capture under HPC-relevant conditions, reported to date. CA-KR1 integration into industrial settings holds great promise in promoting efficient BioHPC, a potentially game-changing development for enhancing carbon-capture capacity toward industrial decarbonization.

Searching for Life in Hot Spring Carbonate Systems: Investigating Raman Spectra of Carotenoid-Bearing Organic Carbonaceous Inclusions from Travertines of Italy.

Carotenoid pigments provide some of the most common exclusively biogenic markers on Earth, and these organic pigments may be present in extraterrestrial life. Raman spectroscopy can be used to identify carotenoids quickly and accurately through the inelastic scattering of laser light. In this study, we show that Raman spectra of organic matter found in hot spring bacterial assemblages exhibit "spectral overprinting" of the carotenoid spectrum by the carbon spectrum as the organic matter progressively breaks down. Here, we present how, with increasing thermal maturity, the relative intensity of the carotenoid spectrum increases, and as maturity increases a low-intensity carbon spectrum forms in the same region as the carotenoid spectrum. This carbon spectrum increases in intensity as the thermal maturity increases further, progressively obscuring the carotenoid spectrum until only the carbon spectrum can be observed. This means key carotenoid biogenic signatures in hot spring deposits may be hidden within carbon spectra. A detailed study of the transition from carotenoid to carbon, Raman spectra may help develop deconvolution processes that assist in positively identifying biogenic carbon over abiogenic carbon. Our results are relevant for the data analysis from the Raman spectroscopy instruments on the Perseverance (National Aeronautics and Space Administration [NASA]) and Rosalind Franklin (European Space Agency [ESA]) rovers.

Formation processes of paper-thin raft and coated bubble: Calcium carbonate deposition at gas–water interface

Travertines are hot spring carbonate deposits that exhibit characteristic fabrics, including a paper-thin raft and a coated bubble formed by the calcification of water and bubble surfaces, respectively. A previous study interpreted that compared with the water surface, the bubble surface displays more active CO2 degassing and resultant active CaCO3 precipitation. However, considering the CO2 partial pressure and the volumes of atmosphere and bubbles, it is possible that more active CO2 degassing occurs on the water surface. In addition, the surfaces of water and bubbles at the travertine-depositing sites are negatively charged, but it is still unclear whether the CaCO3 nucleation on these surfaces occurs via amorphous precursors, like the CaCO3 nucleation on negatively charged organic matter. This study provides a solution to these uncertainties by examining the aragonitic travertines formed in the Nagayu area of Japan. Through field observations, two types of paper-thin rafts were recognized: one with a smooth surface and formed in approximately 1 h, and the other with a rough surface and formed in approximately 3 h. In addition, the bubbles generated on the microbial mat during the daytime were covered with white minerals within an hour, and with ivory-colored minerals over 8 h after sunset, forming firm coated bubbles. Microelectrode measurements revealed that the active CO2 degassing on the water surface significantly increased the CaCO3 saturation state to cause active CaCO3 precipitation. In contrast, less active CO2 degassing on the bubble surface did not increase the saturation state, and moderate CaCO3 precipitation occurred due to the moderately high saturation state of the hot spring water. Various microscopic observations revealed that the smooth-surfaced paper-thin raft comprises a micritic layer of approximately 10–20 μm, which represents tightly arranged submicron-sized granular aragonite. At the lower surface of this layer, hemispherical aragonite partially grew toward the hot spring water. In addition, the rough-surfaced paper-thin raft and coated bubble comprise bundled and acicular aragonites arranged along the surfaces of water and bubble, from which hemispherical aragonite grew toward the hot spring water. Neither the paper-thin raft nor the coated bubble contains primary amorphous CaCO3. These results suggest that the smooth-surfaced paper-thin raft is formed by active CaCO3 nucleation on the water surface and subsequent crystal growth, and that the water surface is unfavorable for preserving the amorphous precursors potentially involved in the nucleation. The rough-surfaced paper-thin raft and the coated bubble could have been formed by the attachment of externally formed acicular aragonite to the water/bubble surface and subsequent crystal growth. The revealed formation processes of the paper-thin raft and coated bubble provide valuable information for interpreting their formation mechanism in other travertine deposits, including those in the geological past.

Sustainability analysis of hydrogen production processes

Hydrogen is a versatile energy carrier and storage medium that is expected to have a key role in the energy transition, as it can be employed in a variety of applications. Hydrogen can be produced from different feedstocks and using different processes. Based on the production technology used, hydrogen is conventionally identified by a color. In this work, we compare different hydrogen generation processes: (i) green hydrogen, obtained by electrolysis of water using electricity from floating photovoltaic platforms, (ii) grid hydrogen, also obtained by electrolysis but using grid electricity, (iii) grey hydrogen, produced from natural gas using steam reforming and (iv) blue hydrogen, which is similar to grey hydrogen, but uses hot potassium carbonate as the solvent for carbon capture and storage. The paper considers the production of hydrogen necessary for 2 trips per day of a medium size ferryboat to navigate full electric for 7 h in the Adriatic Sea. Process simulation is applied to solve material and energy balances for each process investigated, as well as for the evaluation of capital and operating costs. Process simulation outcomes are then used to estimate three key performance indicators focused on energetic, economic, and environmental sustainability issues: the energy return on energy invested, the levelized cost of hydrogen, and the life cycle assessment. The energy indicator for grid and green hydrogen has a value of 13.39–14.29, versus a value of 4.59–5.48 for other hydrogen production methods from natural gas. The cost for green hydrogen is slightly higher (8.76) compared to the blue hydrogen (5.50) however green hydrogen has a much lower impact to the environment. Considering the combined results obtained by all the indicators, it is concluded that the most sustainable hydrogen production method is green hydrogen.

Effect of combined application of carbonate salts and hot water treatment for the management of postharvest anthracnose (Colletotrichum gloeosporioides) of papaya.

Postharvest anthracnose (Colletotrichum gloeosporioides Penz.Sacc) is the most economically important biological constraint to papaya production and consumption, which causes substantial yield loss worldwide. The effect of combined application of carbonate salts and hot water treatments on the development of postharvest anthracnose and maintenances of postharvest quality of papaya fruit was studied in completely randomized design (CRD) under laboratory condition. The results revealed that combined application of hot water treatment and carbonate salts significantly (p < .05) reduced the incidence and severity of postharvest papaya anthracnose disease. The disease incidence reached 100% 21 days after inoculation in the control treatment; this level was significantly reduced to 26.70% by dipping the fruits in NH4CO3 at 50°C and NH4CO3 at 54°C. Similarly, treatments significantly (p < .05) reduced the disease severity in different degrees from the first day of disease appearance to the date of 100% unmarketability of control fruits. Furthermore, the combined application of carbonate salt and hot water treatments significantly improves fruit marketability by 93.33%. Moreover, the treatments showed significant (p < .05) effect on maintaining pH, TSS, TA, and reducing postharvest weight loss of papaya fruit. In conclusion, postharvest treatment of papaya fruit with NH4CO3 at 54°C, NH4CO3 at 52°C, and NaCO3 at 54°C can significantly reduce anthracnose development and improve marketability of the fruits without pronounced effect on their edible qualities.

Plant and system-level performance of combined heat and power plants equipped with different carbon capture technologies

Installing carbon capture and storage (BECCS) capability at existing biomass-fired combined heat and power (bio-CHP) plants with substantial emissions of biogenic CO2 could achieve significant quantities of the negative CO2 emissions required to meet climate targets. However, it is unclear which CO2 capture technology is optimal for extensive BECCS deployment in bio-CHP plants operating in district heating (DH) systems. This is in part due to inconsistent views regarding the perceived value of high-exergy energy carriers at the plant level and the extended energy system to which it belongs. This work evaluates how a bio-CHP plant in a DH system performs when equipped with CO2 capture systems with inherently different exergy requirements per unit of CO2 captured from the flue gases. The analysis is based upon steady-state process models of the steam cycle of an existing biomass-fired CHP plant as well as two chemical absorption-based CO2 capture technologies that use hot potassium carbonate (HPC) and amine-based (monoethanolamine or MEA) solvents. The models were developed to quantify the plant energy and exergy performances, both at the plant and system levels. In addition, heat recovery from the CO2 capture and conditioning units was considered, as well as the possibility of integrating large-scale heat pumps into the plant or using domestic heat pumps within the local DH system. The results show that the HPC process has more recoverable excess heat (∼0.99 MJ/kgCO2,captured) than the MEA process (0.58 MJ/kgCO2,captured) at temperature levels suitable for district heating, which is consistent with values reported in previous similar comparative studies. However, using energy performance within the plant boundary as a figure of merit is biased in favor of the HPC process. Considering heat and power, the energy efficiency of the bio-CHP plant fitted with HPC and MEA are estimated to be 90% and 76%, respectively. Whereas considering exergy performance within the plant boundary, the analysis emphasizes the significant advantage the amine-based capture process has over the HPC process. Higher exergy efficiency for the CHP plant with the MEA capture process (∼35%) compared to the plant with the HPC process (∼26%) implies a relatively superior ability of the plant to adapt its product output, i.e., heat and power production, and negative-CO2 emissions. Furthermore, advanced amine solvents allow the BECCS plant to capture well beyond 90% of its total CO2 emissions with relatively low increased specific heat demand.

Using a neural network to predict deviations in equilibrium model of CO2 capture by absorption with potassium carbonate

The hot potassium carbonate (HPC) process aims to remove CO2 present in the synthesis gas. This removal is performed in the absorption process, where reaction of CO2 with K2CO3 solution occurs. This reaction is slow and H3BO3 can be used to speed up the reaction. Two approaches can be used to simulate this process: equilibrium and rate-based. In general, the equilibrium model does not correctly predict the absorption process, and the use of the rate-based model is more recommended. However, implementing the rate-based model is complex, as it demands greater number of adjustment parameters and differential equations. An alternative to using the equilibrium model and increasing its representativeness is to calculate the Murphree efficiency of components present in the process. In this context, this work aims to propose a methodology based on Artificial Neural Networks (ANNs) for the calculation of these efficiencies using two commercial software simultaneously: Aspen Plus and MATLAB. An ethylene oxide industrial plant was simulated in order to evaluate the limitations and perspectives of both models and the effect of including Murphree efficiency calculations in the equilibrium model. Simulation results were compared with plant data and predicted that the simplest equilibrium-based models for the absorber can lead to deviation of up to 20% in the prediction of the CO2 capture rate, while the model corrected with the Murphree efficiency, calculated from the neural networks proposed in this article, reduce this error to less than 5% in all operational conditions under evaluation.

Evaluation of an Industrial Absorption Process for Carbon Capture Using K2CO3 Promoted by Boric Acid

Hot potassium carbonate (HPC) process aims to remove the CO2 present on synthesis gas. This removal is done in an absorption process, where takes place the reaction of CO2 with a K2CO3 solution. This reaction is slow and H3BO3 can be used to increase the rate of reaction. The rate-based model is the most suitable way to model the process. This approach uses different correlations to calculate important mass transfer and hydraulic parameters, such as: mass transfer coefficient, interfacial area, and liquid holdup. This paper aims to evaluate the performance of many correlations to represent the HPC process. An automatic procedure was developed to test a high number of equations, using MATLAB and Aspen Plus software. The best set of correlations was found after a comparison with industrial data. Correlations with errors less than 10% for the entire evaluated operating conditions were calculated for mass transfer coefficient and the interfacial area, as well as for liquid holdup.

Integration of Hot Potassium Carbonate CO2 Capture Process to a Combined Heat and Power Plant at Värtaverket

Integration of Hot Potassium Carbonate CO2 Capture Process to a Combined Heat and Power Plant at Värtaverket

Fuelling power plants by natural gas: An analysis of energy efficiency, economical aspects and environmental footprint based on detailed process simulation of the whole carbon capture and storage system

In view of the low-carbon transformation of the power sector, natural gas-fired power generation is the only technology, among fossil resources, that will continue to provide an important source of flexibility for the power system in the coming years. However, the carbon dioxide emissions produced by the operation of such plants call for carbon capture and storage equipment, whose deployment needs to be assessed and compared with the main renewable technologies: wind power and photovoltaics. This work uses process simulation in order to assess two different carbon capture processes: a traditional one, based on monoethanolamine, and an innovative one, based on hot potassium carbonate. Process simulation is also used for the transportation of carbon dioxide to the sequestration site. Mass and energy balances from the simulations are then used for the calculation of the Energy Return on Energy Invested, the Levelized Cost of Energy and as inputs for the Life Cycle Assessments of both alternative designs. The life cycle analyses of the considered power technologies exhibited higher contributions due to fossil-based power plants towards climate-related impact categories, while renewable sources were revealed to be more burdensome for the exploitation of mineral resources. The calculated Energy Return on Energy Invested for gas-fired power plants with carbon capture and storage is between 5.2 and 12.4, comparable with the values of photovoltaics and wind power. On the other hand, their Levelized Cost of Energy is between 10.2 and 20.0 eurocent per kilowatt-hour, much higher than that of renewables. The conclusion is that, at present, the sustainability of gas-fired power stations equipped with carbon capture and storage should be carefully considered and not taken for granted.

BECCS with combined heat and power: Assessing the energy penalty

Bio-energy with carbon capture and storage (BECCS) is widely recognised as an important carbon dioxide removal technology. Nevertheless, BECCS has mostly failed to move beyond small-scale demonstration units. One main factor is the energy penalty incurred on power plants. In previous studies, this penalty has been determined to be 37.2 %–48.6 % for the amine capture technology. The aim of this study is to quantify the energy penalty for adding the hot potassium carbonate (HPC) capture technology to a biomass-fired combined heat and power (CHP) plant, connected to a district heating system. In this context, the energy driving the capture process is partly recovered as useful district heating. Therefore, a modified energy penalty is proposed, with the inclusion of recovered heat. This inclusion is especially meaningful if the heat has a substantial monetary value. The BECCS system is examined using thermodynamic analysis, coupled with modelling of the capture process in Aspen Plus™. Model validation is performed with data from a BECCS test facility. The results of this study show that the modified energy penalty is in the range of 2%–4%. These findings could potentially increase the attractiveness of BECCS as a climate abatement option in a district heating CHP setting.

Design and Modelling of Technologies for Upgrading and Direct Methanation of biogas: energy analysis and economic assessment

The exploitation of the biomethane as transport fuel is receiving increasing attention in many European countries. Technologies and processes for improving the Biogas-to-biomethane production with a lower energy consumption and lower costs are objective of several techno-economic studies. In this paper two promising concepts for the biogas conversion are proposed and analyzed considering both technical and economic issues. The analysis regards the biogas upgrading by means of the chemical absorption with Hot Potassium Carbonate and the direct methanation of biogas by adding renewable hydrogen. In order to assess the feasibility of these technologies the numerical modelling has been applied for the plants designing. The energy results have then been used to assess the expected biomethane production price and a sensitivity analysis on the main parameters has been performed. Finally, economic performance of the options proposed will be evaluated under different market conditions.

Production of high concentration bioethanol from reed by combined liquid hot water and sodium carbonate-oxygen pretreatment

This study aimed to establish a method of producing high-concentration bioethanol from reed with reduced distillation-energy demand. Reed was subjected to a pretreatment combining liquid hot water (LHW) and sodium carbonate with oxygen (LHW–Na2CO3/O2) to increase substrate concentration and further achieve high bioethanol concentration through fed-batch semi-simultaneous saccharification and fermentation (fed-batch S-SSF). An oxygen pressure of 0.8 MPa, a Na2CO3 dosage of 16%, a reaction temperature of 160 °C, and a reaction time of 60 min were determined to be optimal, resulting in the highest bioethanol concentration (66.5 g L−1). Bioethanol concentration increased by 75.9% and resulted in a 76.6% decrease in distillation energy compared with those obtained by single-stage LHW pretreatment at 170 °C. After the LHW–Na2CO3/O2 pretreatment, the rate of lignin removal was 71.4%, and almost all hemicellulose was removed. Lignin and hemicellulose removal weakened the interactions among cellulose, hemicellulose, and lignin. We focused on the maximum utilization of biomass resources and decrease in energy expenditure, which highlighted the potential use of the combined LHW–Na2CO3/O2 pretreatment with fed-batch S-SSF method in the industrialization of bioethanol production from reed.

Structural identification of two differently coordinated heptamolybdate ligands in a hexamagnesium compound

Dissolution of freshly prepared molybdenum trioxide in hot aqueous magnesium carbonate followed by crystallization results in the formation of a hexamganesium-bis(heptamolybdate) compound viz. [Mg(H2O)6]3[Mg(H2O)5(Mo7O24)][(H2O)5Mg(µ2-Mo7O24)Mg(H2O)5]∙6H2O 1. Herein we report the crystal structure, spectral characteristics, thermal and electrochemical properties of 1. The all-inorganic compound 1, which crystallizes in the acentric polar space group Cc, contains six unique Mg(II) ions. The two crystallographically independent heptamolybdate anions function as a monodentate (h1) and µ2-bridging bidentate ligand respectively forming the anionic [Mg(H2O)5(Mo7O24)]4- and [(H2O)5Mg(µ2-Mo7O24)Mg(H2O)5]2- species, which are charge balanced by three unique hexaaquamagnesium(II) cations. The electrochemical and conductivity studies of 1 reveal the presence of [Mg(H2O)6]2+ cations and uncoordinated (Mo7O24)6- anions in solution. Thermal decomposition of 1 leads to the formation of Mg2Mo3O11 via Mg6Mo14O48 and 3Mg2Mo3O11∙5MoO3.

Absorption of Carbon Dioxide with Hot Potassium Carbonate Solution: Modeling and Statistical Analysis of Known Experimental Data

The process of absorbing carbon dioxide with an aqueous solution of hot potassium carbonate is widely used in industry for gas purification. The results of numerical modelling of the process are compared with a limited set of experimental data in well-known works. In this paper, a mathematical model of the process in a packed absorber is developed; fitting parameters are taken on the basis of processing known experimental data. The model is based on the equations of heat and mass transfer. Main characteristics: concentrations of substances and temperatures in the liquid and gas phases, depend on one coordinate z directed along the height of the absorber. The heat and mass transfer coefficients were calculated using the Onda formulas. The CO2 equilibrium at the liquid-gas interface was determined by Sechenov relation. The adequacy of the model was checked by comparing the calculations of carbon dioxide concentration along the absorber with the known experimental data not included in the sample from which the model parameters were determined. The numerical dependences of the CO2 content in the scrubbed gas on the physical characteristics of the process are obtained.

Parametric study and optimisation of hot K2CO3‐based post‐combustion CO2 capture from a coal‐fired power plant

AbstractDetailed parametric analyses on a post‐combustion carbon dioxide (CO2) capture system using a hot potassium carbonate solution was completed using a rate‐based simulation study. The system was simulated in Aspen Plus® V10, adopting the electrolyte non‐random two‐liquid property package. A base case study of the system was validated using literature data. Parametric analyses were then performed to study the effect of vital system parameters on CO2 capture rate and stripper reboiler duty. These system parameters include: (i) reflux ratio of stripping column (ii) lean solvent flowrate (iii) flue gas flowrate (iv) lean solvent concentration (v) lean solvent temperature (vi) flue gas temperature and (vii) absorber operating pressure. Changes in the lean solvent concentration (from 25 to 45 wt%) and absorber operating pressure (from 0.5 to 2.5 MPa) were observed to have the most significant effects on the overall performance of the capture system. Increasing both parameters showed substantial declines in the reboiler duty and resulted in remarkable increases in the corresponding carbon capture levels, and vice versa. The performance of various packing types in the absorber and stripper columns were also studied. Among the packing types examined, Flexipac Koch Metal 1Y was observed to yield the best system performance. The results from the parametric analyses were used to propose an optimised model that was able to improve carbon removal rate by 12.61% and decreased stripper reboiler duty by 14.86%. © 2020 Society of Chemical Industry and John Wiley &amp; Sons, Ltd.

Aspen Plus simulation-based parametric study of Benfield process using hot potassium carbonate promoted by diethanolamine

Simulating Benfield process that uses hot potassium carbonate as a chemical absorbent is a challenging task given the absence of the electrolyte system package in the more widely used simulation software such as Aspen Hysys and the fact that all of the existing simulation works have featured either the absorption column or the stripping column as a stand-alone process scenario. In this work, Benfield process is simulated using the Aspen Plus software as a whole process where the absorption column is integrated to the stripping column in a closed-loop mode. The chemical absorbent, i.e., hot potassium carbonate (K2CO3) is promoted by 3 wt.% of diethanolamine (DEA) to enhance the solubility of the carbon dioxide in the absorbent via higher reaction rate. The absorption column is simulated using rate-based approach while the stripping column is simulated using equilibrium approach. The simulation is validated against the industry data. The effects of stripping column boil-up ratio, solvent circulation rate, and K2CO3 concentration on the reboiler duty and the sweet gas CO2 concentration are studied. The lowest reboiler duty of 48 GCal h−1 and the lowest CO2 concentration of less than 50 ppmv are obtained using a boil-up ratio of 0.3, a solvent circulation rate of 35,000 kmol h−1, and K2CO3 concentration of 15 wt.%.

Process modifications for a hot potassium carbonate‐based CO2capture system: a comparative study

AbstractChemical absorption using hot potassium carbonate (K2CO3) is believed to be a more energy‐efficient post‐combustion CO2capture technology as compared to conventional amine‐based absorption processes. That notwithstanding, literature information on how process modifications could render this technology more appealing are limited. In this study, seven different modified process configurations have been investigated to observe their impacts on the system performances of a typical hot K2CO3‐based capture system. The results demonstrate that flue gas precooling is capable of improving the carbon removal level in the K2CO3‐based capture system by 11.46% over the base case value. This was achieved by precooling the flue gas stream from 110 to 70°C before feeding into the absorber column. Other modified process systems such as the rich solvent pre‐heating and lean vapour compression were equally observed to decrease the specific stripper reboiler duty by 24.28% and 21.38%, respectively. The findings from this research prove that process modifications are capable of enhancing the system performances of the hot K2CO3‐based post‐combustion CO2capture technology. © 2020 Society of Chemical Industry and John Wiley &amp; Sons, Ltd.

Unique Solubility of Switchable Alkyl‐Amine Surfactants in Water

AbstractBecause many amine surfactants are soluble in both water and CO2 phases, they attract interest with regard to stabilizing CO2‐in‐water dispersion systems. In our recent research, we find that the solubility of alkyl‐amine surfactant in water can be significantly enhanced by salts, even though the salts are usually “salting‐out” to other surfactants. The influence of various anions (NO3−, Br−, Cl−, and SO42−) and cations (Na+, Ca2+, and Mg2+) on the alkyl‐amine surfactants is investigated. The results are contrary to Hofmeister series and show that all the anions can enhance the solubility (salting‐in) in the order of: NO3− &gt; Br− &gt; Cl− &gt; SO42−, while the impact of the cations is insignificant. A physical–chemistry model based on the switchable property of the surfactant is proposed and well explains the experimental results. Therefore, the switchable alkyl‐amine surfactants have potential to be applied under high‐salinity and high‐temperature conditions, for example, in enhanced oil recovery processes for a hot and salty carbonate reservoir.

Investigating the Solubility of CO2 in the Solution of Aqueous K2CO3 Using Wilson-NRF Model

Hot potassium carbonate (PC) solution in comparison with amine solution had a decreased energy of regeneration and a high chemical solubility of . To present vapor and liquid equation (VLE) of this system and predict solubility, the ion specific non-electrolyte Wilson-NRF local composition model (isNWN) was used in this study; the framework of this model was molecular. Therefore, it was suitable for both electrolyte and non-electrolyte solutions. The present research employed the NWN model and the Pitzer-Debye-Huckel theory in order to assess the contribution of the excess Gibbs energy of electrolyte solutions in a short and long range. The data of solubility in water and the system of aqueous were correlated in the model considering a temperature range of and a pressure range of and . The average absolute error of ( ) and ( ) systems were and respectively. The results and comparisons with other models proved that the experimental data were exactly correlated in the model.