Research Output
Articles
Publication Date: 2025
Journal of Molecular Liquids (18733166)429
Natural gas is a valuable source of energy, however, it also contains hazardous compounds, such as hydrogen sulfide (H2S) acid gas, which needs to be eliminated to make it safe for use. If H2S is released, it can cause serious hazards like environmental issues and human respiratory or even death. Up to now, amine-based solvents have been used for gas sweetening. However, they are not environmentally friendly solvents, so replacing them with green solvents is required. Deep Eutectic Solvents (DESs) are the high-potential candidates of green solvents for this purpose. This study investigated comprehensive thermodynamic modeling of H2S solubilities in a wide range of different nature DESs using two thermodynamic approaches of φ-φ and γ-φ and one chemical absorption approach. The largest and most updated H2S solubility in DESs’ data bank was gathered from open literature including 338 data points for 33 different DESs over a wide range of temperature and pressure. For the investigated approaches, the SRK-SRK, SRK-NRTL, and RETM (1:2) models with the AARD% values of 13.42, 11.64, and 11.21, respectively led to the best results. According to comprehensive investigation and data analysis, general guidelines for using different thermodynamic models for H2S solubility in DESs were proposed. © 2025 Elsevier B.V.
Asadi, P.,
Mokhtari N.,
Asghari, S.,
Rha H.,
Khodarahmi, G.,
Jalali, H.,
Sharma A.,
Dinari, M.,
Kim J.S.,
Varshosaz, J.,
Goshadrou, A.,
Hassanzadeh, F.,
Khadem, M. Publication Date: 2025
ACS Applied Bio Materials (25766422)(5)pp. 4325-4336
Covalent organic frameworks (COFs) show great potential as drug delivery systems (DDSs) due to their customizable structures, stability, and capacity for pore surface functionalization. However, their natural hydrophobicity limits their dispersion in water, posing challenges for biological applications. We address this issue by initially reducing a COF (Az-COF) to an amine-linked form (Az-AL-COF) and subsequently sulfonating it to obtain Az-AL-SO3H-COF, a water-dispersible derivative. Water contact angle (WCA) analysis confirmed increased hydrophilicity across the series of 84.5, 61.2, and 54.7° for Az-COF, Az-AL-COF, and Az-AL-SO3H-COF, respectively. Using doxorubicin (Dox) as a model drug, the modified COFs exhibited pH-sensitive drug release, with greater release at acidic pH (5.6) compared to neutral pH (7.4). Cytotoxicity assays revealed that Az-AL-SO3H-COF was biocompatible with normal cells (MCF-10) while effectively suppressing the growth of cancer cells (MDA-MB-231). The Dox-loaded sulfonated COF (Dox@Az-AL-SO3H-COF) showed selective cytotoxicity against cancer cells, highlighting its potential as a pH-responsive, biocompatible DDS for cancer treatment. © 2025 American Chemical Society.
Rasekh M.R.E.,
Sharifi F.M.,
Alavi S.,
Janatyan, N.,
Javadi M.H.M.,
Rajabi, A.,
Karvar, H.,
Haghbakhsh, R.,
Foruzan, M.,
Goshadrou, A. Publication Date: 2025
e-Prime - Advances in Electrical Engineering, Electronics and Energy (27726711)pp. 2091-2096
This paper aims to introduce a model of the solar plant electricity supply chain, encompassing mixed power plants, transmission lines, and consumers, with a focus on optimization and consideration of uncertainties. Within this article, the supply chain of solar power plants is delineated based on various parameters. The quantities of power plants and solar panels are determined by different priorities, such as investment levels, pollution mitigation, and reduction of gas consumption by conventional power plants, utilizing the particle swarm algorithm for optimal outcomes. The proposed model addresses uncertainties related to electricity demand, solar radiation levels, and consequently, the power production of solar panels, through the application of type 2 fuzzy logic. The optimization of the model is done keeping in mind various constraints including the supply of electricity and the maximum allowed use of solar cells. The innovation of this article is in the design of the supply chain model from the point of view of the uncertainty of electric power production and the amount of consumer demand and the optimal selection of solar panels for solar power plants to minimize the electricity consumption of the gas power plant and the amount of pollution caused by it. Based on the results obtained from the simulation of this article, it has been shown that considering the maximum investment capacity, up to 76 % of the electric energy can be supplied by building five solar power plants at certain distances from the electric substations around the case study. Considering the maximum weight coefficients for CO2 plant emissions and gas consumption, five solar power plants are the optimal number that is achieved by proposed algorithm. The power capacity of five solar power plants is optimized 4.100,4.222,3.920,4.375and 3.991MW, respectively. To evaluation of the proposed model, PSO algorithm is compared to GA and the results show that cost function and convergence time in PSO is less than GA in the various weight coefficients scenarios. This optimal mode leads to the maximum reduction of gas consumption in the gas power plant, and on the other hand, the amount of pollution is minimized. The prediction of this number of power plants with different priorities is presented in this article and different policies can be considered strategically for this model of the supply chain. © 2025
Imandoust M.,
Alghorayshi S.T.K.,
Abbasi S.,
Seifollahi, M.,
Zahedi R.,
Goshadrou, A.,
Karimi, K.,
Taherzadeh, M.J. Publication Date: 2025
Energy Science and Engineering (20500505)(2)pp. 530-550
Minimizing the detrimental effects of global warming and pollution from fossil fuel consumption is essential to meet the growing demand for energy and fresh water, making it imperative to adopt renewable energy alternatives. The integration of solar energy and biomass in hybrid renewable energy systems will grow in importance. The proposed study introduces a new design that facilitates the simultaneous production of power, biogas, and fresh water in a continuous process. The present research aims to tackle the challenge of utilizing multiple renewable energy sources, such as solar and biomass, to generate power, fuel, and fresh water. To achieve this, a 4-stage multi-effect desalination system will be employed for desalinating seawater. This paper discusses combining hybrid solar and biomass feedstocks to address the challenge of maintaining consistent energy production in renewable solar power plants at night, when there is no sunlight. The challenge at hand involves assessing various factors using ASPEN Plus software, such as solar heat transfer fluid (SHTF), sewage sludge flowrates, biogas production, output waste stream of gasification reactor, power generation, and freshwater production. Additionally, the payback period for this project is approximately 4.8 years, with a net present value (NPV) of around 560 million dollars. By performing a sensitivity analysis, the viability of the designed process and the quality of the resulting products were effectively demonstrated. From the gasification process, an impressive 76.8586 tons per hour of syngas, composed of carbon monoxide and hydrogen, was generated. Additionally, the power output of the system reached 34.547 MW, while simultaneously producing approximately 783 m3/h of fresh water. Due to efficient energy recovery throughout the entire process, only 25 MW of solar power was required. Despite efforts, fresh water production was only operating at a 50% productivity level. To supply the required solar energy during daylight hours, a total of 38,908 square meters of Parabolic trough collector (PTC) was necessary. According to the environmental analysis, the primary concern is the detrimental effect of pollution on human health. Solar collectors and sea water desalination units account for over 95% of the pollution. The revelation showed that combining solar and biomass energy resources could provide a sustainable solution to meet the rising demand for fresh water, electricity, and fuel. © 2025 The Author(s). Energy Science & Engineering published by Society of Chemical Industry and John Wiley & Sons Ltd.
