Steady state model was first developed and the steady state properties of inlet and outlet streams are summarized and presented in Table. Peng-Robinson equation of state was used for property calculation and pre-cooled and lean NG was used as feed for MSHE. Due to strong thermodynamic database the developed model in Hysys considered to be the most rigorous one. The dynamic model of MSHE was developed in Aspen Hysys® V.7.2 platform as illustrated in Fig 1. The resulting relationship was used as a constraint to the ORC optimization problem reducing thereby the number of variables and eliminating the necessity of solving both processes (heat recovery network and ORC) simultaneously. In order to reduce computing time, the heat recovery network was solved separately for maximum outlet temperature versus heating oil flow rate. temperature, pressure and heating oil flow rate, corresponding to a maximal net power generation, were identified for each scenario by linking Aspen Hysys to Matlab and using Matlab’s prebuilt optimization abilities. The optimal working conditions of the ORC, i.e. The minimum temperature approach was fixed at 5 ☌ except for the WHRU where due to the restriction on pressure drop a minimum approach of 10 ☌ was chosen.Īn ORC with a simple layout and R600 as a working fluid was used for recovering low grade waste heat. Low temperature waste heat from both processes (NG compression and CO 2 capture) was recovered by a set of heat exchangers and was used to power the ORC. The remaining energy required to satisfy the solvent regeneration was provided by an external source. A cold temperature limit of 140 ☌ was set as a technical constraint on the heating oil side to prevent Sulphur condensation in the exhaust gas. The adequate turbine type was used for each scenario and a waste heat recovery unit (WHRU) was used to recover energy from the exhaust gas to the heating oil loop.
![aspen hysys latest version aspen hysys latest version](https://m4y3e2b6.rocketcdn.me/wp-content/uploads/2021/05/ChE-Junkie-HYSYS-Decoder-Ring-MainForm.png)
Consequently, three scenarios were investigated, P30, P50 and P60, referring respectively to inlet pressures of 30, 40 and 50 bar upstream the compression unit. The available exhaust waste energy depends on the pressure ratio of the compression unit. Sweetening and turbo-compression models were validated against plant and manufacturer data respectively.įor the NG sweetening unit, the predicted CO 2 content and temperature profiles in absorber and regeneration columns showed a deviation of less than 4% from plant data whereas, for the turbo-compression unit, the model presented a deviation of less than 2% from the overall efficiency and exhaust flow specified by the manufacturer. The MDEA/DEA based acid gas sweetening unit was simulated using an equilibrium approach and Li-Mather thermodynamic model whereas the compression and turbine systems where simulated using Peng-Robinson equation of state. The captured CO 2 is then compressed up to 200 bar.
![aspen hysys latest version aspen hysys latest version](https://www.owlnet.rice.edu/~ceng403/hysys/images/case2.gif)
CO 2 molar content in the feed was ranged between 3 to 10% whereas CO 2 content of the sweet gas outlet was set at the limit requested by pipeline transport constraint, i.e. A feed of 5 MMSCM/Day of raw NG at different reservoir pressures (30, 40 and 50 bar) was considered in this study. the amine based CO 2 capture and the natural gas driven turbo-compression. Process simulation tool Aspen Hysys V9 was used to simulate both processes, i.e. Grégoire Leonard, in Computer Aided Chemical Engineering, 2020 2 Methodology Sobol’ sensitivity indices using sensitivity analysis (SA) were calculated simultaneously, for determining the influential parameters. After the post processing of the results, the impact of the uncertainties on the objectives was monitored.
![aspen hysys latest version aspen hysys latest version](https://i.ytimg.com/vi/9WIOu37FBHw/maxresdefault.jpg)
Then by using the HDSS environment, the cubature nodes were passed to Hysys model.įew Gauss-Hermite cubature nodes were used to make a surrogate model in comparison with MC simulation points.
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First, a code to generate the cubature nodes and weights for 5 th order gPC method was developed in the Matlab environment. The performance of the proposed gPC based methodology was tested for making a surrogate model and thereby UQ and SA was carried out simultaneously.
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Hence, a code was made for creating a hybrid digital simulation system (HDSS) by connecting Matlab software to exchange the information seamlessly. Moonyong Lee, in Computer Aided Chemical Engineering, 2017 2.3 Software integration for UQ and SAĪspen Hysys is a deterministic type simulation software and cannot support randomness, rather Matlab is a multi-purpose tool which can do stochastic calculations.