College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Saudi Arabia; Electrical Engineering Department, Faculty of Engineering, Minia University, Egypt.
College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Saudi Arabia; Computers and Automatic Control Engineering Department, Faculty of Engineering, Tanta University, Egypt.
Sci Total Environ. 2019 Mar 25;658:1150-1160. doi: 10.1016/j.scitotenv.2018.12.284. Epub 2018 Dec 19.
Fossil fuel depletion and the environmental concerns have been under discussion for energy production for many years and finding new and renewable energy sources became a must. Biomass is considered as a net zero CO energy source. Gasification of biomass for H and syngas production is an attractive process. The main target of this research is to improve the production of hydrogen and syngas from palm kernel shell (PKS) steam gasification through defining the optimal operating parameters' using a modern optimization algorithm. To predict the gaseous outputs, two PKS models were built using fuzzy logic based on the experimental data sets. A radial movement optimizer (RMO) was applied to determine the system's optimal operating parameters. During the optimization process, the decision variables were represented by four different operating parameters. These parameters include; temperature, particle size, CaO/biomass ratio and coal bottom ash (CBA) with their operating ranges of (650-750 °C), (0.5-1 mm), (0.5-2) and wt% (0.02-0.10), respectively. The individual and interactive effects of different combinations were investigated on the production of H and syngas yield. The optimized results were compared with experimental data and results obtained from Response Surface Methodology (RSM) reported in literature. The obtained optimal values of the operating parameters through RMO were found 722 °C, 0.92 mm, 1.72 and 0.06 wt% for the temperature, particle size, CaO/biomass ratio and coal bottom ash, respectively. The results showed that syngas production was significantly improved as it reached 65.44 vol% which was better than that obtained in earlier studies.
多年来，人们一直在讨论化石燃料枯竭和环境问题对能源生产的影响，寻找新的可再生能源已成为当务之急。生物质被认为是一种净零 CO 的能源。生物质的气化生产氢气和合成气是一种很有吸引力的工艺。本研究的主要目标是通过使用现代优化算法来定义最佳操作参数，以提高棕榈仁壳（PKS）蒸汽气化生产氢气和合成气的产量。为了预测气体产物，使用基于模糊逻辑的两个 PKS 模型根据实验数据集进行构建。应用径向移动优化器（RMO）来确定系统的最佳操作参数。在优化过程中，决策变量由四个不同的操作参数表示。这些参数包括温度、粒径、CaO/生物质比和煤底灰（CBA），其操作范围分别为（650-750°C）、（0.5-1mm）、（0.5-2）和 wt%（0.02-0.10）。研究了不同组合的单独和交互作用对 H 和合成气产率的影响。将优化结果与实验数据和文献中报道的响应面法（RSM）的结果进行了比较。通过 RMO 获得的操作参数的最佳值分别为 722°C、0.92mm、1.72 和 0.06wt%，用于温度、粒径、CaO/生物质比和煤底灰。结果表明，合成气的产量显著提高，达到了 65.44vol%，优于早期研究的结果。
