Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2024
|
| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.18138005 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Biomass is widely used as a cooking fuel in many developing countries due to limited access to modern energy sources. Traditional biomass stoves are often inefficient and emit high levels of harmful pollutants. This study aimed to optimize the performance of an improved biomass gasifier charcoal stove designed to address these issues. A prototype stove developed at NUTABOLTS Technologies LTD was tested using response surface methodology (RSM) with thermal efficiency and time to boil 5kg of water as response variables. Key design parameters investigated included fan control level, charcoal weight, and charcoal type. Experiments were conducted according to an I-optimal design and responses were modeled using ANOVA. Results showed fan control and charcoal weight significantly affected efficiency and boiling time. Optimal settings were found to be a fan control of 3.1, charcoal weight of 0.65kg, and use of natural lump charcoal, achieving an efficiency of 40.2% and boiling time of 11.6 minutes. The strong correlation between predicted and actual results validated the developed models. This study demonstrates how RSM can be employed to optimize combustion stove performance for improved fuel use and reduced emissions.