Process modelling and optimization of hydrogen production from biogas by integrating DWSIM with response surface methodology

IF 3 Q2 ENGINEERING, CHEMICAL
Kaleem Ullah , Sara Maen Asaad , Abrar Inayat
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Abstract

Hydrogen production from biogas presents a significant opportunity to address major sustainability challenges by providing an economically viable replacement of fossil fuels and reducing greenhouse gas emissions. However, the conversion of biogas into hydrogen using steam reforming is affected by several process parameters. Therefore, this study aims to use a combined approach of DWSIM chemical process simulator and response surface methodology (RSM) as an optimization technique to enhance the effectiveness of the hydrogen production process. The process was modeled with the help of DWSIM software and then validated. Additionally, sensitivity analysis was performed to assess the impact of varying raw material flow rates and reactor conditions on the hydrogen yield as well as investigate the effect of varying biogas composition on the hydrogen yield. Design Expert software was used to optimize the hydrogen production using the Central composite design and a quadratic model. Four input parameters were considered: biogas flow rate, steam flow rate, inlet temperature, and pressure of reformer reactor, with hydrogen yield at the outlet of the last reactor considered as the response. The model and the independent parameters were found to be significant with p-values< 0.0001. The interactions of parameters showed that pressure had the least impact on the hydrogen yield. The optimal parameters identified were 57 kg/hr biogas flow rate, 33.97 kg/hr steam flow rate, 954.38 °C reformer inlet temperature, and 12.52 bar pressure, ultimately achieving a maximum hydrogen yield of 65.992 %. Validation of optimal conditions in DWSIM simulation tool yielded a hydrogen yield of 64.874 % with an error margin of <2.0 %. Overall, this study demonstrates the effect of each parameter and optimizes the hydrogen production process to increase the yield.

Abstract Image

基于DWSIM和响应面法的沼气制氢过程建模与优化
通过提供经济上可行的化石燃料替代品和减少温室气体排放,沼气制氢为解决主要的可持续性挑战提供了一个重要的机会。然而,利用蒸汽重整将沼气转化为氢气受到几个工艺参数的影响。因此,本研究旨在采用DWSIM化工过程模拟器与响应面法(RSM)相结合的优化技术,提高制氢过程的有效性。利用DWSIM软件对该工艺进行了建模,并进行了验证。此外,还进行了敏感性分析,以评估不同原料流量和反应器条件对氢气产率的影响,并研究不同沼气组成对氢气产率的影响。采用Design Expert软件,采用Central复合设计和二次元模型对制氢工艺进行优化。考虑4个输入参数:沼气流量、蒸汽流量、进口温度、重整反应器压力,最后一个反应器出口产氢量作为响应。模型和独立参数在p值<;0.0001. 各参数的相互作用表明,压力对产氢率的影响最小。确定的最佳工艺参数为:沼气流量57 kg/hr、蒸汽流量33.97 kg/hr、反应器入口温度954.38℃、压力12.52 bar,最终氢气产率最高可达65.992%。在DWSIM模拟工具中验证的最佳条件下,产氢率为64.874%,误差范围为2.0%。总体而言,本研究论证了各参数的影响,并对制氢工艺进行了优化,以提高产率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
3.10
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0.00%
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