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Optimization of Efficient Clean Combustion Technology

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "I2: Energy and Combustion Science".

Deadline for manuscript submissions: closed (20 January 2025) | Viewed by 3886

Special Issue Editors


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Guest Editor
Institute of Engineering Thermophysics, University of Chinese Academy of Sciences, Beijing, China
Interests: combustion; thermal engineering; environmental engineering
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
National Engineering Research Center of New Energy Power Generation, North China Electric Power University, Beijing 102206, China
Interests: waste composites recovery; waste wind turbine blade recovery; pollutants control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Efficient clean combustion technology has been a hot topic focus of both experimental investigations and industrial applications. With a large-scale increase in the application of renewable energy electricity in the world, such as wind power, boiler operation needs to be changed, such as running an ultra-low load and increasing load at a rapid rate, to meet the requirements of grid security. The key problems facing the industry include low efficiency, high NOx emission, slow load variation rate, flame extinction, and so on. Some novel methods and technologies are being investigated and tested to overcome these difficulties, supporting the development and application of efficient clean combustion technology.

The Special Issue aims to publish review papers and research papers involving the topics of novel combustion technology, basic principle or theory for improving combustion efficiency or decreasing pollutant emissions, industrial application analyses, and system optimization, etc.  By browsing this Special Issue, the readers could clearly, or at least partially, review the newest technologies and progresses in clean combustion technology.

Dr. Jianguo Zhu
Dr. Mingxin Xu
Guest Editors

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Keywords

  • flameless combustion
  • preheating combustion
  • flexible combustion
  • low load
  • peak shaving
  • pollutants formation and control
  • combustion optimization
  • industrial application

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Related Special Issue

Published Papers (4 papers)

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Research

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14 pages, 7813 KiB  
Article
Effects of Two-Stage Injection on Combustion and Particulate Emissions of a Direct Injection Spark-Ignition Engine Fueled with Methanol–Gasoline Blends
by Miaomiao Zhang and Jianbin Cao
Energies 2025, 18(2), 415; https://doi.org/10.3390/en18020415 - 18 Jan 2025
Viewed by 407
Abstract
Methanol is widely recognized as a promising alternative fuel for achieving carbon neutrality in internal combustion engines. Its use in direct injection spark-ignition (DISI) engines, either as pure methanol or blended fuels, has demonstrated improvements in thermal efficiency and reductions in certain gaseous [...] Read more.
Methanol is widely recognized as a promising alternative fuel for achieving carbon neutrality in internal combustion engines. Its use in direct injection spark-ignition (DISI) engines, either as pure methanol or blended fuels, has demonstrated improvements in thermal efficiency and reductions in certain gaseous pollutants. However, due to the complex influencing factors and the great harm to human health, its particulate emissions need to be further explored and controlled, which is also an inevitable requirement for the development of energy conservation and carbon reduction in internal combustion engines. This study explores the effects of two-stage injection strategies combined with fuel blending on the combustion characteristics, stability, and particulate emissions of DISI engines. By testing four methanol blending ratios and four injection ratios, the presented study identifies that M20 fuel with an 8:2 injection ratio achieves optimal combustion performance, stability, and increased indicated mean effective pressure. Furthermore, under low methanol blending ratios, the 8:2 injection ratio can reduce particulate number concentrations by approximately 20%. These findings suggest that a well-designed two-stage injection strategy combined with methanol–gasoline blends can effectively control particulate emissions while maintaining the power, efficiency, and combustion stability of DISI engines. Full article
(This article belongs to the Special Issue Optimization of Efficient Clean Combustion Technology)
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12 pages, 1155 KiB  
Article
Discovery and Analysis of Key Core Technology Topics in Proton Exchange Membrane Fuel Cells Through the BERTopic Model
by Yurong Gou and Qimei Chen
Energies 2024, 17(21), 5418; https://doi.org/10.3390/en17215418 - 30 Oct 2024
Viewed by 845
Abstract
As a core component of clean energy technology, proton exchange membrane fuel cells (PEMFC) play a crucial role in promoting the evolution of energy structures and realizing sustainable development, representing an environmentally friendly energy conversion strategy. This paper identifies the key core technology [...] Read more.
As a core component of clean energy technology, proton exchange membrane fuel cells (PEMFC) play a crucial role in promoting the evolution of energy structures and realizing sustainable development, representing an environmentally friendly energy conversion strategy. This paper identifies the key core technology themes in the field of the proton exchange membrane fuel cells by constructing patent and paper datasets in the field, applying the BERTopic model for theme identification, and calculating the key core technology scores of each theme using the importance, innovativeness, and high competitiveness barriers to identify the key core technology themes in the field, so as to provide guidance and references for the relevant research and practice. The results of the study show that patent documents and academic papers show obvious differentiation in technical themes: the key core technologies identified in patent texts include ‘battery separator materials’, ‘rubber sealing materials’, and ‘porous carbon fibre materials’. The key core technologies identified in the academic paper of the thesis include ‘palladium-based electrocatalys’, ‘graphene oxide composite film’, and ‘platinum-graphene oxide catalyst’. Full article
(This article belongs to the Special Issue Optimization of Efficient Clean Combustion Technology)
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17 pages, 6506 KiB  
Article
Experimental Studies on Preheating Combustion Characteristics of Low-Rank Coal with Different Particle Sizes and Kinetic Simulation of Nitrogen Oxide
by Jiahang Zhang, Jianguo Zhu and Jingzhang Liu
Energies 2023, 16(20), 7078; https://doi.org/10.3390/en16207078 - 13 Oct 2023
Cited by 4 | Viewed by 1179
Abstract
Low-rank coal, accounting for 45% of the global coal reserves, is easier to use in terms of realizing ignition and stable combustion due to its relatively high levels of volatile content. But the problem of low-rank coal combustion is that its NO formation [...] Read more.
Low-rank coal, accounting for 45% of the global coal reserves, is easier to use in terms of realizing ignition and stable combustion due to its relatively high levels of volatile content. But the problem of low-rank coal combustion is that its NO formation is in the range of 300–600 mg/m3, which makes the emission’s meeting of the environmental regulation quite difficult or uneconomic. Preheating combustion was a prospective combustion technology which involved preheating in a circulating fluidized bed (CFB) first and then combustion in a combustor for preheated fuel. With three particle sizes (0–0.355 mm, 0–0.5 mm, and 0–1 mm), some experiments were carried out in a 30 kW test rig. The results showed that, in the CFB preheating, a particle size of 0–1 mm had the highest coal-gas heating value due to a long residence time. The release of species in the CFB preheating always followed the order H > N > C > S. For preheated fuel combustion, a particle size of 0–0.355 mm showed the fastest combustion velocity, with the highest temperature point near the nozzle. For all three particle sizes, the combustion of preheated fuel showed a uniform temperature distribution with a small temperature difference. The lowest NO emission was 105 mg/m3 for the particle size of 0–0.5 mm. A GRI-Mech 2.11 mechanism was used to simulate the formation of NO with different influencing factors, such as temperature, oxygen concentration, and secondary-air ratio. There was a good agreement between the experimental data and the simulation’s results. The simulation showed that the NO formation could be further decreased with an optimal secondary-air ratio. This investigation provides support for the basic understanding of preheating-combustion technology and potential industrial applications in the future. Full article
(This article belongs to the Special Issue Optimization of Efficient Clean Combustion Technology)
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Review

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20 pages, 3097 KiB  
Review
Non-Invasive Techniques for Monitoring and Fault Detection in Internal Combustion Engines: A Systematic Review
by Norah Nadia Sánchez Torres, Jorge Gomes Lima, Joylan Nunes Maciel, Mario Gazziro, Abel Cavalcante Lima Filho, Cicero Rocha Souto, Fabiano Salvadori and Oswaldo Hideo Ando Junior
Energies 2024, 17(23), 6164; https://doi.org/10.3390/en17236164 - 6 Dec 2024
Viewed by 716
Abstract
This article provides a detailed analysis of non-invasive techniques for the prediction and diagnosis of faults in internal combustion engines, focusing on the application of the Proknow-C and Methodi Ordinatio systematic review methods. Initially, the relevance of these techniques in promoting energy sustainability [...] Read more.
This article provides a detailed analysis of non-invasive techniques for the prediction and diagnosis of faults in internal combustion engines, focusing on the application of the Proknow-C and Methodi Ordinatio systematic review methods. Initially, the relevance of these techniques in promoting energy sustainability and mitigating greenhouse gas emissions is discussed, aligning with the Sustainable Development Goals (SDGs) of Agenda 2030 and the Paris Agreement. The systematic review conducted in the subsequent sections offers a comprehensive mapping of the state of the art, highlighting the effectiveness of combining these methods in categorizing and systematizing relevant scientific literature. The results reveal significant advancements in the use of artificial intelligence (AI) and digital signal processors (DSP) to improve fault diagnosis, in addition to highlighting the crucial role of non-invasive techniques such as the digital twin in minimizing interference in monitored systems. Finally, concluding remarks point towards future research directions, emphasizing the need to develop the integration of AI algorithms with digital twins for internal combustion engines and identify gaps for further improvements in fault diagnosis and prediction techniques. Full article
(This article belongs to the Special Issue Optimization of Efficient Clean Combustion Technology)
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