Design Process flowsheet using ASPEN PLUS

[Elmansi]

I have defined all the list of components necessary for this process and the chosen property method was (ENRTL-SR). I chose Gibbs reactor to simulate the low-temperature reactor, high-temperature reactor, and chemical absorber because the kinetics of the reactions is not known. Also, the Rstoic was chosen to simulate the photocatalytic reactor.

The images below contain the photolytic sulphur ammonia process schematic and chemistry and a proposed ASPEN PLUS flowsheet for the process (https://www.energy.gov/sites/prod/files/2014/03/f9/solar_thermo_h2.pdf). I am given only one operating condition for the reactor, namely the temperature, and the production rate of hydrogen.

First of all, how can one approach this design problem, given only these info. I can emulate the proposed flowsheet but I have a lot of doubts,like , what valid design specifications can I define in order for material and energy balances streams converge. I added the same blocks as in the ASPEN process flowsheet but I am stuck on how to continue from here.

 

[Navin A S]

The first step to approaching this design problem is to define the design specifications and process parameters. This includes the temperature, pressure, flow rate, reactant concentrations, and other relevant parameters. Additionally, you should also define a set of performance objectives, such as the desired output hydrogen production rate. Once these specifications are determined, you can then proceed to building a model of the system in Aspen.In Aspen, you can start by setting up the flowsheet with the appropriate components and connecting them with streams. You will then need to set up the parameters for the individual components, such as the temperature, pressure, and flow rate. You can also set up the kinetics for each reaction taking place in the reactors. Finally, you can perform material and energy balances to ensure that the system is converging. Once you have a working simulation model, you can then perform optimization studies in order to identify the optimal operating conditions for the system. This could involve varying the temperature, pressure, reactant concentrations, and other parameters in order to maximize the output hydrogen production rate. You can also use the model to investigate the impact of different design parameters on the system performance. Overall, this approach will require a thorough understanding of the process and the parameters that influence it, as well as the ability to construct and simulate a model in Aspen.