Predicting and analyzing the performance of biomass-burning natural draft rocket cookstoves using computational fluid dynamics
Abstract
Nearly three billion people in the world today rely on biomass for their cooking needs. Indoor cooking using biomass has been identified as a major cause of respiratory illnesses, resulting in four million premature deaths every year. Improved biomass cookstoves may help mitigate this challenge. This paper presents a two-dimensional axisymmetric steady-state computational fluid dynamics (CFD) model of a biomass burning, natural draft rocket cookstove. The CFD model includes coupled sub-models representing combustion, turbulence, and heat transfer. The model is validated against experimental data and used to predict temperatures and flow inside the cookstove, including the airflow rate through the cookstove and heat transfer to the cookpot. We find that the excess air is typically many times stoichiometric air during standard operating conditions and is sensitive to flow field obstructions. We analyze the effects of geometric and operational features such as the pot support height, secondary air entrainment, cone-deck shape, and baffle placement within the cookstove on the flow, airflow rate, mixing, and stove thermal efficiency. The model shows that secondary air entrainment, though ineffective by itself, increases turbulent mixing when used in conjunction with a central baffle but reduces thermal efficiencies due to enhanced heat transfer to the walls.more »
- Authors:
-
- Univ. of Washington, Seattle, WA (United States)
- Publication Date:
- Research Org.:
- Univ. of Washington, Seattle, WA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Bioenergy Technologies Office; USDOE
- OSTI Identifier:
- 1799201
- Alternate Identifier(s):
- OSTI ID: 1702883
- Grant/Contract Number:
- EE0006284; DE -EE0006284
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Biomass and Bioenergy
- Additional Journal Information:
- Journal Volume: 131; Journal ID: ISSN 0961-9534
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; cookstove; CFD; combustion; energy efficiency; biomass
Citation Formats
Pundle, Anamol, Sullivan, Benjamin, Means, Paul, Posner, Jonathan D., and Kramlich, John C. Predicting and analyzing the performance of biomass-burning natural draft rocket cookstoves using computational fluid dynamics. United States: N. p., 2019.
Web. doi:10.1016/j.biombioe.2019.105402.
Pundle, Anamol, Sullivan, Benjamin, Means, Paul, Posner, Jonathan D., & Kramlich, John C. Predicting and analyzing the performance of biomass-burning natural draft rocket cookstoves using computational fluid dynamics. United States. https://doi.org/10.1016/j.biombioe.2019.105402
Pundle, Anamol, Sullivan, Benjamin, Means, Paul, Posner, Jonathan D., and Kramlich, John C. Wed .
"Predicting and analyzing the performance of biomass-burning natural draft rocket cookstoves using computational fluid dynamics". United States. https://doi.org/10.1016/j.biombioe.2019.105402. https://www.osti.gov/servlets/purl/1799201.
@article{osti_1799201,
title = {Predicting and analyzing the performance of biomass-burning natural draft rocket cookstoves using computational fluid dynamics},
author = {Pundle, Anamol and Sullivan, Benjamin and Means, Paul and Posner, Jonathan D. and Kramlich, John C.},
abstractNote = {Nearly three billion people in the world today rely on biomass for their cooking needs. Indoor cooking using biomass has been identified as a major cause of respiratory illnesses, resulting in four million premature deaths every year. Improved biomass cookstoves may help mitigate this challenge. This paper presents a two-dimensional axisymmetric steady-state computational fluid dynamics (CFD) model of a biomass burning, natural draft rocket cookstove. The CFD model includes coupled sub-models representing combustion, turbulence, and heat transfer. The model is validated against experimental data and used to predict temperatures and flow inside the cookstove, including the airflow rate through the cookstove and heat transfer to the cookpot. We find that the excess air is typically many times stoichiometric air during standard operating conditions and is sensitive to flow field obstructions. We analyze the effects of geometric and operational features such as the pot support height, secondary air entrainment, cone-deck shape, and baffle placement within the cookstove on the flow, airflow rate, mixing, and stove thermal efficiency. The model shows that secondary air entrainment, though ineffective by itself, increases turbulent mixing when used in conjunction with a central baffle but reduces thermal efficiencies due to enhanced heat transfer to the walls. We find that a lower pot support height decreases the airflow rate and increases thermal efficiency. We model thirty-six cone-deck configurations and find that the cone-deck shape primarily affects the airflow rate through the stove, with more constricted designs leading to higher thermal efficiencies.},
doi = {10.1016/j.biombioe.2019.105402},
journal = {Biomass and Bioenergy},
number = ,
volume = 131,
place = {United States},
year = {Wed Nov 20 00:00:00 EST 2019},
month = {Wed Nov 20 00:00:00 EST 2019}
}
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