Biomass Combustion and Energy Production Processes

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 6081

Special Issue Editors

Industrial and Systems Engineering Department, Morgan State University, 1700 East Cold Spring Lane, Baltimore, MD 21251, USA
Interests: biomass combustion system; gaseous emissions; shell and tube heat exchanger (STHE); stirling engine; refrigeration system; heat transfer; fuel property characterization; biomass utilization; statistical analysis and optimization; design of experiment (DoE); factorial design; linear and non-linear regression modeling

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Guest Editor
Industrial and Systems Engineering Department, Morgan State University, 1700 East Cold Spring Lane, Baltimore, MD 21251, USA
Interests: advanced energy systems; renewable energy; emission control technologies; internal combustion engine; computational fluid mechanics; thermal–chemical analysis; heat transfer and characteristics; phase Doppler particle analyzer (PDPA); particle image velocimetry (PIV)

Special Issue Information

Dear Colleagues,

Interest in biomass utilization has increased due to limited reserves and environmental problems (e.g., greenhouse gases and smog) of conventional fossil fuels. The performance of biomass combustion systems depends on the operating conditions (e.g., air/fuel ratios, excess air ratios) and fuel properties (e.g., ultimate analysis, proximate analysis). In addition, heat exchangers and Stirling engines can be integrated into combustion systems to convert residual heat into energy (e.g., hot water and electricity) during biomass combustion.

This Special Issue aims to highlight both the latest theoretical and environmental advances in biomass combustion and energy production processes, including, but not to limited to, the following topics:

  • Characterization and analysis of biomass fuel properties;
  • Investigation and evaluation of gas emissions (e.g., NOx, SO2, particulate matter, CO, HCl) and performance during the biomass combustion process;
  • Integration of heat exchanger and Stirling engine with biomass combustion system;
  • Analysis of energy production from the biomass utilization.

Dr. Xuejun Qian
Prof. Dr. Seong W. Lee
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • biomass combustion
  • fuel properties
  • gaseous emissions
  • heat exchangers
  • Stirling engine
  • energy production
  • biomass utilization

Published Papers (3 papers)

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Research

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22 pages, 9169 KiB  
Article
Optimizing Pressure Prediction Models for Pneumatic Conveying of Biomass: A Comprehensive Approach to Minimize Trial Tests and Enhance Accuracy
by Hossein Rajabnia, Ognjen Orozovic, Kenneth Charles Williams, Aleksej Lavrinec, Dusan Ilic, Mark Glynne Jones and George Klinzing
Processes 2023, 11(6), 1698; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11061698 - 02 Jun 2023
Cited by 1 | Viewed by 1475
Abstract
This study investigates pneumatic conveying of four different biomass materials, namely cottonseeds, wood pellets, wood chips, and wheat straw. The performance of a previously proposed model for predicting pressure drop is evaluated using biomass materials. Results indicate that the model can predict pressure [...] Read more.
This study investigates pneumatic conveying of four different biomass materials, namely cottonseeds, wood pellets, wood chips, and wheat straw. The performance of a previously proposed model for predicting pressure drop is evaluated using biomass materials. Results indicate that the model can predict pressure with an error range of 30 percent. To minimize the number of trial tests required, an optimization algorithm is proposed. The findings show that with a combination of three trial tests, there is a 60 percent probability of selecting the right subset for accurately predicting pressure drop for the entire range of tests. Further investigation of different training subsets suggests that increasing the number of tests from 3 to 7 can improve the probability from 60% to 90%. Moreover, thorough analysis of all three-element subsets in the entire series of tests reveals that when considering air mass flow rate as the input, having air mass flow rates that are not only closer in value but also lower increases the likelihood of selecting the correct subset for predicting pressure drop across the entire range. This advancement can help industries to design and optimize pneumatic conveying systems more effectively, leading to significant energy savings and improved operational performance. Full article
(This article belongs to the Special Issue Biomass Combustion and Energy Production Processes)
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23 pages, 11036 KiB  
Article
Investigating the Relationship between the Time Constant Ratio and Plug-Flow Behaviour in the Pneumatic Conveyance of Biomass Material
by Hossein Rajabnia, Ognjen Orozovic, Kenneth Williams, Aleksej Lavrinec, Dusan Ilic, Mark Jones and George Klinzing
Processes 2023, 11(6), 1697; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11061697 - 01 Jun 2023
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Abstract
This study introduces a novel methodology to evaluate the behaviour of biomass material by examining the ratio of aeration and deaeration time constants. To this end, a series of tests were conducted on four different materials, namely, cottonseed, wood chips, wood pellets, and [...] Read more.
This study introduces a novel methodology to evaluate the behaviour of biomass material by examining the ratio of aeration and deaeration time constants. To this end, a series of tests were conducted on four different materials, namely, cottonseed, wood chips, wood pellets, and wheat straw, in order to investigate their aeration and deaeration behaviours. The study derives the aeration and deaeration pressure drop equations, and discusses the corresponding time constant expression. Subsequently, the four materials were conveyed in 12 m long batch-fed and continuous pneumatic conveying pipelines to examine their behaviour in longer pipelines. The results indicate that the aeration and deaeration time constants increased with an increase in air superficial velocity. However, the ratio of the aeration and deaeration time constants was identified as a unique number, where a value close to 1 indicates a higher likelihood of plug flow. On the basis of the results, cottonseed, with the lowest ratio of time constant, was more likely to form a stable plug flow in both batch-fed and continuous pneumatic conveying. Given the unique properties of biomass and the limited research on the pneumatic conveyance of biomass, this methodology represents a novel approach for predicting modes of flow in materials with complex properties. Full article
(This article belongs to the Special Issue Biomass Combustion and Energy Production Processes)
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Review

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25 pages, 1221 KiB  
Review
Forest Fuel Drying, Pyrolysis and Ignition Processes during Forest Fire: A Review
by Nikolay Viktorovich Baranovskiy and Viktoriya Andreevna Kirienko
Processes 2022, 10(1), 89; https://0-doi-org.brum.beds.ac.uk/10.3390/pr10010089 - 02 Jan 2022
Cited by 8 | Viewed by 2648
Abstract
Forest ecosystems perform several functions that are necessary for maintaining the integrity of the planet’s ecosystem. Forest fires are thus a significant danger to all living things. Forest fire fighting is a foreground task for modern society. Forest fire prediction is one of [...] Read more.
Forest ecosystems perform several functions that are necessary for maintaining the integrity of the planet’s ecosystem. Forest fires are thus a significant danger to all living things. Forest fire fighting is a foreground task for modern society. Forest fire prediction is one of the most effective ways to solve this urgent issue. Modern prediction systems need to be developed in order to increase the quality of prediction; therefore, it is necessary to generalize knowledge about the processes occurring during a fire. This article discusses the key features of the processes prior to forest fuel ignition (drying and pyrolysis) and the ignition itself, as well as approaches to their experimental and mathematical modeling. Full article
(This article belongs to the Special Issue Biomass Combustion and Energy Production Processes)
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