Related Experiment Video
Updated: Sep 12, 2025
07:27
Author Spotlight: On-Site Biochar Production for Woody Debris Incineration in Forestry
Published on: January 5, 2024
2.9K
Optimizing agricultural biomass selection for biochar production using multicriteria decision-making
Ayodeji Raphael Ige1, Grażyna Łaska2, Grzegorz Świderski2
1Faculty of Civil Engineering and Environmental Sciences, Białystok University of Technology, Wiejska 45E, Białystok, 15-351, Poland. ayodeji.ige@sd.pb.edu.pl.
Scientific Reports
|August 9, 2025
Summary
This study evaluated agricultural biomass for sustainable biochar production using the AHP-TOPSIS method. Fraxinus excelsior and Triticale showed excellent potential for producing high-quality biochar from agricultural waste.
Area of Science:
- Agricultural Science
- Environmental Science
- Materials Science
Background:
- Growing demand for sustainable soil amendments, water treatment solutions, and renewable energy necessitates optimal agricultural biomass selection.
- Biochar production from agricultural waste offers an eco-friendly alternative to conventional practices.
Purpose of the Study:
- To develop and apply a multicriteria decision-making approach (AHP-TOPSIS) for evaluating agricultural biomass feedstocks for sustainable biochar production.
- To identify key biomass properties influencing biochar quality and production potential.
Main Methods:
- Utilized the Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for multicriteria decision-making.
- Conducted proximate analyses, Fourier Transform Infrared Spectroscopy (FTIR), heating value assessments, and Thermogravimetric Analysis (TGA).
Main Results:
- Fraxinus excelsior exhibited superior properties, including high lignin (18.16%) and carbon (46.77%) content, and a calorific value of 20.24 MJ/kg.
- FTIR analysis confirmed functional groups in Fraxinus excelsior that enhance biochar stability.
- A blend of Fraxinus excelsior and Triticale demonstrated optimal thermal behavior, achieving the highest residual mass (29.26%) in TGA.
Conclusions:
- Agricultural biomass possesses favorable chemical and thermal properties suitable for sustainable biochar production.
- The AHP-TOPSIS method effectively identifies optimal biomass feedstocks, promoting waste utilization and environmental sustainability.
Related Concept Videos
01:09Decision Making: P-value Method
5.7K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.7K
01:14Decision Making: Traditional Method
4.1K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.1K