In the present study, multi-objective optimization has been conducted to optimize a novel multigeneration system that is based on biomass energy, and uses the cold energy of the liquid natural gas as a heat sink. The designed system is an integration of combined gas-steam cycle, a cascade Rankine cycles, a lithium bromide-water absorption refrigeration cycle, a proton exchange membrane electrolyzer, and a liquid natural gas subsystem. The proposed system aims to produce power, cooling, natural gas, and hydrogen. Following thermodynamic and exergoeconomic analysis, two conflicting objectives, that is, total product cost rate and exergy efficiency, are selected for the optimization process. The genetic algorithm is used to optimize the system and the Pareto front plot is achieved. The obtained results for this system reveal that the final optimization point has an exergy efficiency of 39.023% and a total product cost rate of 1107$/h. This point is a trade-off between thermodynamic and thermoeconomic single-objective optimization cases. In addition, the biomass gasification-gas turbine cycle, organic Rankine cycles, and proton exchange membrane have the highest exergy destruction rates, respectively. Finally, it is shown that the liquid pressure ratio of the natural gas pump and inlet temperature of the steam turbine have the most important effects on the balance between the selected objective parameters.
The asymmetric unit of the title compound, [Co(C10H16BN4)2], comprises one unit of the complex. The geometry around the CoII ion is a distorted tetrahedron. The dihedral angles between the pyrazole rings in the two ligands are 47.19 (15) and 47.20 (16)°, while that between the coordination planes is 79.77 (7)°.
This study presents a new system for solar power, which is generated through a solar power tower with a molten salt cycle. To increase the consumption of energy losses, besides the closed supercritical carbon dioxide (sCO2) Brayton cycle, a liquid natural gas (LNG) open-cycle was used as a heat sink alongside a cascade organic Rankine cycle with the capability of working at low temperatures. LNG is implemented for a solid oxide fuel cell input, after cooling down the power generation systems and power generation. Besides the economic and thermodynamic analysis, destruction of exergy has been controlled and parametric studies are performed to investigate the influence of relative factors on the performance of the system. To optimize the system, a genetics algorithm has been employed by considering two reciprocal objective functions of the total cost rate and the exergy efficiency. The results of multi-objective optimization show that the optimized point has a total product cost rate of $115.3/h and an exergy efficiency of 71%. Furthermore, exergy analysis shows that the molten salt heat exchangers and the LNG heat exchangers have the maximum rates of irreversibility and must be taken into consideration as a major priority for optimization.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.