Multi-objective optimization of a biomass gasification to generate electricity and desalinated water using Grey Wolf Optimizer and artificial neural network

Multi-objective optimization of a biomass gasification to generate electricity and desalinated water using Grey Wolf Optimizer and artificial neural network.

Green hydrogen & electricity production via geothermal-driven multi-generation system: Thermodynamic modeling and optimization

A green hydrogen energy storage concept based on parabolic trough collector and proton exchange membrane electrolyzer/fuel cell: Thermodynamic and exergoeconomic analyses with multi-objective optimization

Green hydrogen &amp; electricity production via geothermal-driven multi-generation system: Thermodynamic modeling and optimization

Analysis and optimization of a fuel cell integrated with series two-stage organic Rankine cycle with zeotropic mixtures

Multi-objective optimization of a solar chimney for power generation and water desalination using neural network

This article presents a novel triple-pressure combined cycle power plant (CCPP) with a heat recovery steam generator (HRSG) configured with heat exchangers of multiple pressure levels, same as the real case. In addition, combustion chamber steam injection is added to the top cycle in order to reduce hazardous emissions. The research investigates energy, exergy, economic, and environmental aspects of the system to initiate sustainable development in said areas. A thorough parametric study is carried out to evaluate the effects of steam injection and other decision variable on emissions and system performance. Then, the total cost rate and the CO2 index are minimized while maximizing the second law efficiency via a tri-objective optimization using the genetic algorithm. The outcome of the economic analysis is that the HRSG has the maximum total cost rate among all the components, namely 0.1673 $/s. The environmental impact  assessments indicate that the CO2 and NO emission has considerable molar fractions of 0.035 and 6.88 × 10−4, respectively. As a result of the tri-objective optimization, a 3D Pareto Frontier is presented, which pointed out the maximum attainable exergy efficiency is 50.32%, as well as the minimum total cost rates of 8.04 $/s and CO2 index of 0.34 kg/kWh. Finally, the scatter distribution of major decision variables revealed the optimum range of decision variables in which the optimum points of the Pareto Frontier are obtained. Accordingly, the scatter distribution showed that 46 kg s−1 is the optimum value for steam injection flow rate in terms of efficiency, cost and emission optimization.

4E analysis and tri-objective optimization of a triple-pressure combined cycle power plant with combustion chamber steam injection to control NO x emission

Magnetic cooling at room temperature is one of the world’s newest technologies that can be considered as an alternative for vapor compression refrigeration systems. Magnetic cooling follows the magnetocaloric effect (MCE) phenomenon, which is justified by the change in entropy with respect to magnetic flux changes. In this research, a computational fluid dynamic (CFD) simulation of the magnetic refrigeration system is conducted in COMSOL Multiphysics 5.5 software with the geometry of sandwiched gadolinium layers and water channels. The magnetic cooling system can be analyzed in two aspects i.e. constant cooling load and zero cooling load. For this purpose, two performance indicators including the exergy efficiency and the minimum achievable temperature, can be defined for constant and zero cooling loads, respectively. Sensitivity analysis is used as a tool to understand the importance of operating parameters such as frequency, passing fluid’s velocity, cold heat exchanger temperature, magnetization, or demagnetization time. The parametric study of the zero cooling load simulation reveals that high operating frequency (
 $$f = 0.5\;{\mathrm{Hz}}$$
 ) besides low fluid velocity (
 $$V = 0.05 \;{\mathrm{m}}\;{\mathrm{s}}^{ - 1}$$
 ) results in a 51 °C temperature span. In addition, the exergy efficiency can reach the maximum value of 30 percent with respect to various velocity and frequency variables for laminated geometry.

Amirreza Azad

Papers

Analysis and optimization of a fuel cell integrated with series two-stage organic Rankine cycle with zeotropic mixtures

Multi-objective optimization of a solar chimney for power generation and water desalination using neural network

4E analysis and tri-objective optimization of a triple-pressure combined cycle power plant with combustion chamber steam injection to control NO x emission

Parametric study of an active magnetic refrigeration (AMR) system on exergy efficiency and temperature span with Gadolinium