Computational study of a novel combined cookstove for developing countries

Bisrat Yilma Mekonnen

African Journal of Science, Technology, Innovation and Development, 2021, vol. 13, issue 5, 657-661

Abstract: This paper presents a computational study of a novel biomass-solar combined cookstove for developing countries. A computational fluid dynamics (CFD) study was carried out to understand how the proposed cookstoves perform during combustion. The technique was successfully used for predicting the temperature and the flow velocity distribution within the interior of the stove. The results showed that the flame diffused in the combustion chamber reached the maximum temperature of 1550 K and then decreased as the flue gases flowed upward through the distance from the flame zone to the outlet. Velocity distribution and CO2 concentration predictions are presented. The maximum flow velocity in the combustion was found to be 0.217 m/s. The performance of the stove demonstrated that this cookstove can be a novel alternative for households who have low access to electricity and traditionally depend almost completely on biomass fuels.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/20421338.2020.1865511 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rajsxx:v:13:y:2021:i:5:p:657-661

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rajs20

DOI: 10.1080/20421338.2020.1865511

Access Statistics for this article

African Journal of Science, Technology, Innovation and Development is currently edited by None

More articles in African Journal of Science, Technology, Innovation and Development from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().