Issue 32, 2022, Issue in Progress

Comparative evaluation of thermal and emission performances for improved commercial coal-fired stoves in China

Abstract

The extensive use of traditional cooking stoves to meet daily cooking and heating requirements has highlighted the serious problem of indoor and outdoor air pollution. This study evaluates seven improved coal-fired space-heating and cooking stoves and compares them with a widely used stove of an older design, selected as a baseline reference. The seven stoves were selected from a range of candidate improved stoves submitted by manufacturers for testing as part of the air quality improvement in the Hebei Clean Air Project, Hebei Province, China. Stove performance was evaluated when burning raw coal and coal briquettes during the high and low power stages respectively. All seven improved cooking stoves surpassed the baseline stove in combined heating and cooking thermal and emission performance. Among the improved cooking stoves, Model 2-TL was found to have the highest average thermal efficiency, 87.2 ± 0.5%, when burning coal briquettes at high and low power. The lowest emission of PM2.5 was 0.94 ± 0.5 mg MJNET−1, CO 0.55 ± 0.28 g MJNET−1, and CO/CO2 1.1 ± 0.6%, respectively. It is concluded that the use of these improved heating and cooking stoves should be promoted for daily cooking and heating requirements. This strategy will not only save fuel to the benefit of the household, but widespread adoption could contribute to significant reductions of CO and PM2.5 emissions in Hebei Province.

Graphical abstract: Comparative evaluation of thermal and emission performances for improved commercial coal-fired stoves in China

Article information

Article type
Paper
Submitted
30 May 2022
Accepted
16 Jun 2022
First published
20 Jul 2022
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2022,12, 20886-20896

Comparative evaluation of thermal and emission performances for improved commercial coal-fired stoves in China

R. Ahmad, Y. Zhou, C. Liang, G. Li, N. Zhao, A. Abbas, F. Yu, L. Li, J. Gong, D. Wang, Y. Yang, Z. Tang, M. Sultan, C. Sun and R. Dong, RSC Adv., 2022, 12, 20886 DOI: 10.1039/D2RA03364J

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