Optimal Design and Energy-Saving Investigation of the Triple CO₂ Feeds for Methanol Production System by Combining Steam and Dry Methane Reforming

Abstract

The process of synthesizing syngas with the triple CO2 feeds is proposed to achieve an efficient use of CO2 that mitigates climate warming. Also, the amount of CO2 added in three locations as the variables of the process is optimized based on the CO2 conversion rate and the energy consumption per unit product (ECP) output flow rate by the genetic algorithm. The performances of the triple CO2 feeds in the methanol synthesis process had been evaluated by comparing with the traditional methanol production processes. To further reduce energy consumption, the irreversibility of each component and the locations of the inefficiency in the overall selected production process are studied on the basis of the exergy analysis. Pinch analysis is further used to find the optimal matching scheme. Compared with those of the proposed process, the energy consumption and the total exergy loss of the heat-integrated process are significantly reduced by 33.1 and 6.65%, respectively. Besides, the overall total annual cost is reduced by 10.1% and the cost of utilities is saved by 36.4%, which results in energy-saving.

A Deep Learning Hybrid Framework Combining an Efficient Evolutionary Algorithm for Complex Many-Objective Optimization of Sustainable Triple CO2 Feed Methanol Production

“…This will provide a clearer understanding of the data and enhance the overall presentation of this study. The calculation formulas of the CH 4 conversion rate and energy consumption are represented by eqs and CH 4 conversion rate = CH 4,in − CH 4,out CH 4,in energy consumption = M Q R 1 + MQ R 2 + mQ C 1 + mQ C 2 Here, CH 4,in and CH 4,out denote the inflow and outflow rates of methane, respectively.…”

“…4 The reforming process applies many techniques such as steam methane reforming (SMR), 5 dry methane reforming (DMR), 6 autothermal reforming (ATR), 7 and others. Moreover, these techniques possess the capacity to be combined in diverse manners, such as the combinations SMR/DMR, 8 SMR/ATR, 9 and DMR/ POM. 10 Nevertheless, there are variations in energy consumption and carbon emissions among different reforming technologies.…”

Optimization of Yield and Conversion Rates in Methane Dry Reforming Using Artificial Neural Networks and the Multiobjective Genetic Algorithm

“…Tensor. The gaseous phase, due to interaction forces experienced from contact between particles and the gas, is described by its stress tensor as (15) where μ g is the sum of the laminar and turbulent viscosities, I is the unit tensor, and δ ij is the Kronecker delta set as for accurately predicting drag forces on packed bed particles commonly employed for dense flows. 43 It is based on blending the functions of Wen−Yu 44 and Ergun.…”

“…Many researchers and scientists strive to address this challenge while fulfilling the petroleum refining and petrochemical industry demands for hydrogen production processes and meeting GHG emission concerns without jeopardizing their functionality within these industries. Recently, dry reformation of methane (DRM), expressed hereunder, has attracted many researchers due its vast capability to effectively valorize both natural gas and CO 2 , − which has an influential ratio of hydrogen and carbon monoxide and can be operated in numerous refining processes like Fischer–Tropsch or methanol synthesis. , C H 4 + C O 2 → 2 H 2 + 2 C O ⁣ H 298 K o = + 247 k J / m o l …”

The Optimization Model of Public Space Design Teaching Reform Based on Fractional Differential Equations

“…to get the vertical foot X O on the potential curve [4]. Figure 1 shows an example of Frenet frame calculation for the point cloud space curve.…”