Parametric Analysis of a Gasification-Based Cookstove as a Function of Biomass Density, Gasification Behavior, Airflow Ratio, and Design.

ACS Omega

Grupo de Manejo Eficiente de la Energía-GIMEL, Facultad de Ingeniería, Universidad de Antioquia, Calle 67, No. 53-108, Medellín 050010, Colombia.

Published: March 2022

The energy performance and emissions (carbon monoxide and total suspended particulate matter) of a biomass gasification-based cookstove under a modified water boiling test (WBT 4.2.3 protocol) were characterized here. The controllable process parameters analyzed were the biomass bulk density (pellets-WP and chips-WCH) and the combustion-air/gasification-air ratio (2.8, 3.0, and 3.2). Moreover, a design parameter of the cookstove was analyzed through two combustion chamber designs (combustion chambers 1 and 2). The cookstove was characterized in detail considering the complete cookstove (control volume 1), the combustion chamber (control volume 2), and the gasification process (control volume 3). The cookstove reached an average efficiency of 25.2% for pellets and 24.1% for chips. The best behavior for the cookstove was achieved when pellets were used, which is attributed to their higher bulk density and to the fact that during their gasification process, the biochar yield was 12% higher, while the biomass consumption decreased by 16% compared to the chips. The carbon monoxide specific emissions were 2.78 g/MJ for pellets and 2.75 g/MJ for chips. On average, the cookstove released total suspended particulate matter between 74.11 and 122.70 mg/MJ. The cookstove low emissions are ascribed to the proper combustion air flow and the combustion chamber design, which favored the mixing between producer gas and combustion air.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908516PMC
http://dx.doi.org/10.1021/acsomega.1c05137DOI Listing

Publication Analysis

Top Keywords

combustion chamber
12
control volume
12
cookstove
9
gasification-based cookstove
8
ratio design
8
carbon monoxide
8
total suspended
8
suspended particulate
8
particulate matter
8
bulk density
8

Similar Publications

The dataset includes vibration signatures from both healthy and faulty main journal bearings of an internal combustion engine, captured with a tri-axial accelerometer mounted on the bearings' housing. The engine was exposed to various climatic and operating conditions, including variations in temperature and humidity, and tested at different engine rotation speeds, following a standard, MIL-STD-810G. The data was collected in a state-of-the-art climatic and vibration chamber to simulate real-world environmental conditions.

View Article and Find Full Text PDF

This investigation presents extensive computational analyses of the compressible flow near ramp injector with double circular injectors at supersonic combustor of scramjet engine. Comparison of the fuel mixing and fuel jet penetration of hydrogen jet are done for two injector configurations at free stream Mach number of 2. The simulation of the supersonic flow near ramp injector is done via solving RANS equations with computational fluid dynamic technique.

View Article and Find Full Text PDF

Polychlorinated biphenyls (PCBs) from common cooking fuels in Nigeria.

J Occup Environ Hyg

January 2025

Environmental Engineering Research Laboratory, Department of Chemical Engineering, University of Ilorin, Ilorin, Nigeria.

Cooking fuels are sources of polychlorinated biphenyls (PCBs), which are persistent in the environment and have detrimental effects on human health. Fifteen PCBs congeners from the smoke of eight (8) commonly used cooking fuels in Nigeria were investigated in this study. Glass fiber filters were used to collect air emissions during the combustion of cooking fuels in a controlled chamber.

View Article and Find Full Text PDF

Tobacco use is the leading cause of death globally and in the U.S. After decades of decline, driven by decreases in combusted tobacco use, nicotine product use has increased due to Electronic Nicotine Delivery Systems (ENDS), also known as e-cigarettes or vapes.

View Article and Find Full Text PDF

This study explores the integration of nanotechnology and Long Short-Term Memory (LSTM) machine learning algorithms to enhance the understanding and optimization of fuel spray dynamics in compression ignition (CI) engines with varying bowl geometries. The incorporation of nanotechnology, through the addition of nanoparticles to conventional fuels, improves fuel atomization, combustion efficiency, and emission control. Simultaneously, LSTM models are employed to analyze and predict the complex spray behavior under diverse operational and geometric conditions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!