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

This dataset includes 1032 runs from a biomass downdraft gasifier integrated with power production unit (BG-PP) 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 BG-PP in each case/run. This article is via our 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 paper.本数据集包含1032组运行工况数据，源自集成发电单元（BG-PP）的生物质下行床气化系统，该系统的进料原料涵盖86种不同类型的生物质，分属多个类别组：木质类生物质、草本与农业类生物质、动物源生物质、混合生物质以及污染型生物质，且实验覆盖多种运行条件。本数据集包含各类生物质的元素分析与工业分析、各运行工况的操作参数，以及每组工况下BG-PP的净输出功率。本文为我们投向爱思唯尔（Elsevier）旗下另一期刊的联合投稿，题为《集成下行床生物质气化-发电系统热力学平衡建模的人工神经网络》。实际上，本数据集已用于训练并测试我们论文中构建的下行床BG-PP人工神经网络模型。