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

Sahar Safarian; Seyed Mohammad Ebrahimi Saryazdi; Runar Unnthorsson; Christiaan Richter

doi:10.1016/j.dib.2020.106390

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

Data Brief. 2020 Oct 9:33:106390. doi: 10.1016/j.dib.2020.106390. eCollection 2020 Dec.

Authors

Sahar Safarian¹, Seyed Mohammad Ebrahimi Saryazdi², Runar Unnthorsson¹, Christiaan Richter¹

Affiliations

¹ Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Hjardarhagi 6, 107 Reykjavik, Iceland.
² Department of Energy Systems Engineering, Sharif University of Technology, Tehran, Iran.

Abstract

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" [1]. 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 [1].

Keywords: Biomass gasification; Downdraft; Elemental analysis; Net output power; Proximate analysis.