The utilization of porous media and its effects on thermal management of internally cooled lithium-ion battery with the aid of porous media has been investigated. Two different configurations of the ...porous zone have been studied through three-dimensional transient thermal analysis of prismatic lithium-ion battery with liquid electrolyte as a coolant. At first, both configurations of the porous zone were investigated in pursuit of detecting the optimum configuration. Afterward, the effects of various materials, porosities and pores sizes were explored on the standard deviation of the temperature field and maximum temperature inside the battery in the optimum porous zone configuration. In the end, the utilization of the response surface method due to the parametric study and discover the most crucial parameters in battery performance was scrutinized. Compared to the non-inclined porous, the inclined porous zone case decreases the standard deviation of the temperature field significantly. Using the inclined porous zone also indicates that decreasing porosity results in the enhancement of both maximum temperature and standard deviation of the temperature about 20.75%. Hence, the increment of pore size results in decreasing maximum temperature inside the battery, while it could help the standard deviation of the temperature to be improved by about 24.88%.
•A novel hybrid continuous desalination plant driven by solar energy is studied.•A high-temperature phase change material is selected to store excess heat.•The Genetic algorithm is selected to ...conduct multi-objective optimization.•In the optimal design, the total produced potable water is 4352.87 m3/day.
Ever-increasing needs for freshwater over the globe have made scientists investigate and find out viable solutions to overcome this concern. In line with this fact, multi-objective optimization of a solar-assisted hybrid desalination plant, which encompasses multi-effect distillation with thermal vapor compression and humidification-dehumidification units, was carried out during this study. Parabolic trough solar collectors play the role of a supplier of required input energy to run this system. In addition, there is a heating and storage unit, which includes a latent heat thermal storage tank to store the excess heat gained by solar collectors and an auxiliary boiler to assist in supplying the required heat for desalination units. Design parameters such as Parabolic trough solar collectors rows, phase change materials, number of multi-effect distillation system effects, motive steam flow rate, and last effect brine temperature of multi-effect distillation system which have the greatest impact on the performance of the system are selected. The non-dominated sorting genetic algorithm was employed to conduct multi-objective optimization. According to the optimization results, the total cost rate of the system and the sustainability index is 0.548 $/s and 1.54 respectively. In addition, adding the humidification-dehumidification unit to the system contribute to producing 0.5% more fresh water and brings 0.1% extra cost.
In the present study, techno-economic-environmental optimization of a solar-boosted energy system generating power, freshwater, and methanol as a promising clean fuel has been undertaken. A heliostat ...field with variable mirrors is used in a gas turbine cycle to decrease the necessity of burning much hydrocarbon fuel. By using pressure swing adsorption, 80% of the contained carbon dioxide of the exiting stream of the gas turbine is recovered and stored. In addition, by exploiting the waste heat of the exiting stream of the gas turbine, an organic Rankin cycle, a multi-effect distillation with thermal vapor compression, and a single effect absorption chiller are driven. Furthermore, a proton exchange membrane electrolyzer is utilized to generate hydrogen and portions of stored hydrogen and carbon dioxide go through the methanol synthesis reaction to produce desired methanol. A comprehensive parametric study through the 4E analysis has been carried out to detect the influential design parameters to set the decision variables for the optimization process. In the end, due to the complexity of the system, a deep neural network is developed to lower the computational time. The findings of the deep neural network-based optimization show the optimal solution in which the total cost rate of the system, exergy efficiency, and the emitted carbon dioxide values are 1.26 $/s, 46.25%, and 0.58 kg/s, respectively.
•A novel solar-boosted plant including CO2 capture and utilization is studied.•Stored hydrogen is used to synthesize methanol as promising fuel.•4E analysis is carried out to propose an eco-friendly system with lower emissions.•Using the developed ANN, the optimization runtime decreased from 72 h to 40 min.•The exergy efficiency value is 46.25% in the optimal design.
With global communities being susceptible to adverse impacts of greenhouse gases, hydrogen has substantially drawn the attention of scientists to investigate it as a promising fuel. Hence, the ...present investigation aims to conduct an exhaustive thermodynamic analysis of an innovative biomass-assisted system driven by the Brayton cycle through multi-objective optimization to detect the different optimal scenarios for generating and storing hydrogen. This system contains a Brayton cycle as a prime mover, steam gasification of biomass and three-stage compressors to generate and store hydrogen, and multi-effect distillation to produce freshwater. The ultimate goal of this study is to use the generated steam through the produced freshwater as a steam agent of the gasifier to conclude a water-efficient scenario in producing hydrogen. To discern the impact of the chosen design parameters on the performance of the system, an exhaustive parametric study has been carried out. Afterward, multi-objective optimization via the non-dominated sorting genetic algorithm has been undertaken to find the optimal values by regarding the financial constraints. Tri-objective optimization results demonstrated that optimum values of total cost rate, exergy efficiency, and hydrogen production rate are 1.43 $/s, 47.56%. , and 0.12 kg/s. Besides, by regarding the consumption of water as an additional objective function, the results demonstrate that by reducing consumed water up to 47.5%, the generated hydrogen only decreases by 8%.
•An innovative multi-generation system based on biomass is proposed.•The most influential design parameters are detected through the parametric study.•A water-saving scenario is discussed to generate efficient hydrogen.•NSGA-II is utilized to detect the optimal values of the proposed system.•The hydrogen production rate is 0.12 kg/s in the optimal design.
In this study, a mathematical modeling using asymptotic solution method was performed to a multi-region premixed combustion of moist moso bamboo particles under adiabatic condition. The analytical ...model assumes and divides the modeling system into multi-regions as preheating, drying, pyrolysis, and homogeneous and heterogeneous reactions. The formulated mass and energy conservation equations were written for each region and solved analytically using specified jump and boundary conditions. The experimental validation using temperatures of homogeneous flame and heterogeneous reaction fronts confirmed that the prediction accuracy is promising. Then, combustion characteristics such as distributions of temperature and species mass fractions were clarified. Influences of particle diameter, gaseous fuel Lewis number, and equivalence ratio were finally explored on crucial quantities such as homogeneous flame temperature and heterogeneous reaction temperatures, burning velocity, and pyrolysis front location. The results showed that increasing bamboo particle diameter leads to lower burning velocity, lower flame temperatures, and prolonged reaction fronts. Fuel Lewis number showed similar trends for burning velocity and flame and reaction temperatures as those of particle diameter, while opposite conclusions were found for reaction front locations. The impacts of equivalence ratio are opposite for burning velocity, flame temperature, and reaction front locations as those of particle diameter.
•Multi-region premixed combustion of moist moso bamboo is mathematically modeled.•Preheating, drying, pyrolysis, combustion reactions are considered in the model.•Mass and energy equations are analytically solved using jump conditions.•Temperatures and places of homogeneous and heterogeneous flames are obtained.•Effects of key parameters on combustion characteristics of the system are evaluated.
The Savonius wind turbine is cost-effective, simple in structure, and potentially usable in urban areas but suffers from poor efficiency. Further, vortices emerges downward results in a higher rate ...of exergy loss and lower wind energy to power conversion rate. Thus, the objective of the present study is to enhance the performance of the Savonius wind turbine and reduction of generated friction entropy considering the novel design of airfoil-shaped blade. For this purpose, nine important design parameters of airfoil-shaped blade were chosen and dozen design points were designed based on the Plackett-burman method. After carrying out the screening analysis, the response surface methodology has been used to conduct sensitivity analysis and investigate the higher-order correlations to discover the optimal design of studied airfoil-shaped blade. The obtained results indicate that the optimal design could augment the power coefficient up to 12.89% at TSR = 0.8, compared to conventional semicircular rotor blade.
