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Dataset of biomass characteristics and net output power from downdraft biomass gasifier integrated power production unit

机译:下降生物量气化器的生物质特性数据集和净输出电源集成电源生产单元

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This dataset includes 1032 runs from a biomass downdraft gasifier integrated with power production unit that is fed by 86 different types of biomasses from different groups (e.g. wood and woody biomasses, herbaceous and agricultural biomasses, animal biomasses, mixed biomasses and contaminated biomasses) and under various operating conditions. The dataset covers elemental and proximate analysis of various biomasses, operation conditions and the net output power from the biomass gasification-power production (BG-PP) in each case/run. This article has been submitted via another Elsevier journal as a co-submission, titled “Artificial neural network integrated with thermodynamic equilibrium modeling of downdraft biomass gasification-power production plant” . In fact, this dataset has been used to train and test the developed Artificial neural network modeling of a downdraft BG-PP in our original research paper .
机译:该数据集包括1032从生物量下降气化器中运行,该气化器与电力生产单元一体化,由来自不同组的86种不同类型的生物量(例如木材和木质生物量,草本和农业生物量,动物生物量,混合生物量和污染的生物量)饲喂各种操作条件。数据集在每种情况下涵盖各种生物量,操作条件和来自生物量气化 - 电源(BG-PP)的各种生物量,操作条件和净输出功率的元素和近分析。本文已通过另一个elestvier期刊作为共同提交,标题为“与下式生物量气化 - 电力生产厂的热力学平衡建模集成的人工神经网络”。事实上,该数据集已用于培训和测试原始研究论文中的下行流程BG-PP的开发人工神经网络建模。

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