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Dataset on the assessment of the environmental, economic and energy parameters of 5?MW CHP co-gasification plant using South African coal, biomass and waste-tyre.

ABSTRACT: The data provided in this article supplements the data information provided in "Techno-economic analysis of electricity and heat production by co-gasification of coal, biomass and waste tyre in South Africa" [1]. The generation of the data considered co-generation of a coal sample (Matla coal) with pine sawdust, sugarcane bagasse, corn cob, and waste tyre at a blend ratio of 1:1, 3:2, and 4:1. The cost evaluation of the use of the feedstocks was considered with feedstock costing (WFC) and without feedstock costing (WOFC). Profitability assessment tools for the case study included NPV, IRR and PBP. The data as contained in this article could be useful for a quick decision making on a similar project by the government and stakeholders in the sector.

SUBMITTER: Ozonoh M

PROVIDER: S-EPMC6288416 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Dataset on the assessment of the environmental, economic and energy parameters of 5 MW CHP co-gasification plant using South African coal, biomass and waste-tyre.

Ozonoh M M Aniokete T C TC Oboirien B O BO Daramola M O MO

Data in brief 20181027

The data provided in this article supplements the data information provided in "Techno-economic analysis of electricity and heat production by co-gasification of coal, biomass and waste tyre in South Africa" [1]. The generation of the data considered co-generation of a coal sample (Matla coal) with pine sawdust, sugarcane bagasse, corn cob, and waste tyre at a blend ratio of 1:1, 3:2, and 4:1. The cost evaluation of the use of the feedstocks was considered with feedstock costing (WFC) and withou ...[more]

PMID: 30761342

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Project description:Feedstocks such as coal, biomass, plastics, and their blends have the potential to serve as fuels for the thermochemical conversion process owing to their relatively high calorific values. Nevertheless, the relative proportion of these feedstock blends has a pivotal influence over the overall energy conversion efficiency. Consequently, conducting a comprehensive study to optimize the blend proportion becomes crucial in order to obtain an optimal fuel. The study aims to investigate the thermochemical characterization and kinetics of blends composed of lignite coal, southern pine biomass, and municipal waste plastic blend to optimize the blend proportion. This optimization has been achieved through an analysis of 12 distinct blends, considering factors such as combustion reaction kinetics, combustion stability, and comprehensive combustion indices. The reaction kinetics, including activation energy, pre-exponential factor, and reaction order, were estimated using various methods, including Vyazovkin, Kissinger-Akahira-Sunose, Flynn-Wall-Ozawa, Master-plot, and multidistributed activation energy methods. The investigation revealed that increasing the biomass content within the blends enhances both the combustion stability and combustion performance. The multidistributed activation energy model exhibited a good fit with both the experimental thermogravimetric and the derivative thermogravimetric curves, achieving linear regression fitness values of 0.99 and 0.95, respectively. To showcase the viability of these blends as energy generation feedstock, the optimal blend comprised of 60% biomass, 10% coal, and 30% municipal waste plastic blend, possessing the lowest activation energy (110 kJ/mol), was employed as the feedstock for the fluidized bed oxy-steam gasification process. The gasification process resulted in a synthetic gas consisting of 47.79 mol % H2, 27.96 mol % CO, 5.85 mol % CH4, and 18.38 mol % CO2 (nitrogen-free basis) with a cold gas efficiency of 72.88%. The findings of this study can offer valuable insights into global industries engaged in the thermochemical conversion of solid waste materials.

Dataset Information

Dataset on the assessment of the environmental, economic and energy parameters of 5?MW CHP co-gasification plant using South African coal, biomass and waste-tyre.

Publications

Dataset on the assessment of the environmental, economic and energy parameters of 5 MW CHP co-gasification plant using South African coal, biomass and waste-tyre.

Similar Datasets

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Dataset Information

Dataset on the assessment of the environmental, economic and energy parameters of 5?MW CHP co-gasification plant using South African coal, biomass and waste-tyre.

Publications

Dataset on the assessment of the environmental, economic and energy parameters of 5 MW CHP co-gasification plant using South African coal, biomass and waste-tyre.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset on the assessment of the environmental, economic and energy parameters of 5 MW CHP co-gasification plant using South African coal, biomass and waste-tyre.