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...
In this paper a generic thermodynamic equilibrium model-based framework for biomass gasification pro...
The development of a one-dimensional (1D) phenomenological model for biomass gasification in downdra...
publisher: Elsevier articletitle: Artificial neural network modelling approach for a biomass gasific...
This dataset includes 1032 runs from a biomass downdraft gasifier integrated with power production u...
Post-print (lokagerð höfundar)This study is a novel attempt in developing of an Artificial neural ne...
Energy crisis and emerging negative impacts on environment are the leading factors of industries to ...
Biomass is a renewable energy resource and its utilization has received great attention due to its l...
The use of renewable energy sources becomes more necessary and interesting. As wider applications of...
In order to accurately anticipate the proficiency of downdraft biomass gasification linked with a w...
Existing technical issues related to biomass gasification process efficiency and environmental stand...
An equilibrium simulation model was developed by applying Aspen Plus to evaluate the performance of ...
Surplus electricity production is anticipated to further increase during summer periods due to the i...
Gasification is a promising technology for efficient, clean and diverse utilisation of biomass and b...
The development of a one-dimensional (1D) phenomenological model for biomass gasification in downdra...
The research results are presented by the authors in the modeling of performance indicators of the o...
In this paper a generic thermodynamic equilibrium model-based framework for biomass gasification pro...
The development of a one-dimensional (1D) phenomenological model for biomass gasification in downdra...
publisher: Elsevier articletitle: Artificial neural network modelling approach for a biomass gasific...
This dataset includes 1032 runs from a biomass downdraft gasifier integrated with power production u...
Post-print (lokagerð höfundar)This study is a novel attempt in developing of an Artificial neural ne...
Energy crisis and emerging negative impacts on environment are the leading factors of industries to ...
Biomass is a renewable energy resource and its utilization has received great attention due to its l...
The use of renewable energy sources becomes more necessary and interesting. As wider applications of...
In order to accurately anticipate the proficiency of downdraft biomass gasification linked with a w...
Existing technical issues related to biomass gasification process efficiency and environmental stand...
An equilibrium simulation model was developed by applying Aspen Plus to evaluate the performance of ...
Surplus electricity production is anticipated to further increase during summer periods due to the i...
Gasification is a promising technology for efficient, clean and diverse utilisation of biomass and b...
The development of a one-dimensional (1D) phenomenological model for biomass gasification in downdra...
The research results are presented by the authors in the modeling of performance indicators of the o...
In this paper a generic thermodynamic equilibrium model-based framework for biomass gasification pro...
The development of a one-dimensional (1D) phenomenological model for biomass gasification in downdra...
publisher: Elsevier articletitle: Artificial neural network modelling approach for a biomass gasific...