Multi-objective performance optimization of ammonia decomposition thermal storage reactor

Abstract

Heat storage technology plays an essential role in the stable operation of solar thermal power generation. In this paper, a one-dimensional model of a tubular filled bed heat absorption reactor for ammonia decomposition is established by applying finite time thermodynamics. Taking the inlet temperature, the outside diameter and the length of the reactor as optimization variables, the multi-objective particle swarm optimization is used to perform multi-objective optimization considering the maximum heat absorption rate and the minimum total entropy generation rate, and the Pareto Fronts are determined under different reactor outer wall temperatures. Finally, three optimized reactors’ design parameters and performance indicators are obtained by LINMAP, TOPSIS and Shannon Entropy decision methods, and the cross-sectional comparisonof the optimal reactors at different outer wall temperatures. Compared to the reference reactor, the three optimized reactors improve heat absorption rate by 58%-143%, while the total entropy generate rate is reduced by 26.4%-38.8%. The obtained results have some guidance for optimal designs of ammonia decomposition reactor in real engineering.

Multi-Objective Optimization of Braun-Type Exothermic Reactor for Ammonia Synthesis

“…Since the ammonia synthesis reactor is adiabatic, all the reaction heat is absorbed by the gas mixture inside the reactor. So the energy conservation equation in each axial micro-element can be represented by the change in temperature of the reacting gas [ 39 , 40 ]: where is the cross-sectional area of the reactor in ; is the reaction enthalpy of reaction j in ; is the effective factor of internal diffusion; is the intrinsic reaction rate of reaction in ; is the molar constant pressure heat capacity of component in is the molar flow rate of component in .…”

Towards technology, economy, energy and environment oriented simultaneous optimization of ammonia production process: Further analysis of green process

“…The selected model converts the heat generated in the reactors to electricity. The selected point from the obtained Pareto front improved the rate by 12.6 % and reduced the entropy generation to 3.4 % [ 26 ]. However, in the existing studies, the electrolysis-based hydrogen was never used to produce the ammonia.…”