Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.1
3.2
Journals
Fire
Special Issues
Novel Combustion Technologies for CO2 Capture and Pollution Control
share announcement

Novel Combustion Technologies for CO2 Capture and Pollution Control

A special issue of Fire (ISSN 2571-6255).

Deadline for manuscript submissions: 31 December 2026 | Viewed by 3790

Editors

Dr. Xiaojia Wang

E-Mail Website
Guest Editor
School of Energy and Environment, Southeast University, Nanjing 210096, China
Interests: chemical looping gasification of biomass; fluidized bed technology; reactor flow and heat transfer simulation
Special Issues, Collections and Topics in MDPI journals
Dr. Hui Wang

E-Mail Website
Guest Editor
School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing, China
Interests: combustion pollutant control (adsorbent research and development) and online monitoring (mercury, heavy metals, PM2.5, etc.); CO2 emission reduction and comprehensive utilization (carbon neutral, carbon peak, etc.); energy efficiency testing and flue gas performance testing; solid waste energy and resource utilization; numerical simulation of combustion process; heat and mass transfer enhancement
Dr. Miaomiao Niu

E-Mail Website
Guest Editor
School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing, China
Interests: biomass utilization; combustion optimization; combustion pollutant control; solid waste recycling

Special Issue Information

Dear Colleagues,

The major energy utilization methods of fossil and biomass fuels include combustion, gasification, liquefaction, and so forth; however, anthropogenic impacts on the environment have aroused a great deal of attention in recent years and the CO2 emitted during these utilization processes is one of the main contributors to global warming. Achieving carbon neutrality along with pollution reduction is now becoming the world’s most urgent mission and the main goal of carbon neutrality is to reduce carbon emissions to zero either through their complete elimination or through the achievement of a dynamic balance. An important method to achieve carbon neutrality involves novel combustion technologies with carbon capture and sequestration. The development of new combustion technology and the numerical simulation of thermodynamics and reaction dynamics involved in the process are effectively used to investigate the complex reaction mechanisms in combustion processes, and to ensure that the feasibility of new high-flux combustion technology can be verified.

This Special Issue on “Novel Combustion Technologies for CO2 Capture and Pollution Control” principally aims to cover research on experimental and numerical simulation in the fundamental and applied sciences as they pertain to CO2 capture technologies during processes of energy utilization and pollution control. The scope of interests includes, but is not limited to:

  1. Chemical looping combustion/gasification;
  2. Oxygen-enriched combustion;
  3. Process simulation;
  4. Fluidized bed reactors;
  5. Pollution reduction.

Dr. Xiaojia Wang
Dr. Hui Wang
Dr. Miaomiao Niu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fire 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 2400 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

  • CO2 capture
  • chemical looping combustion
  • oxygen-enriched combustion
  • simulation
  • energy conservation
  • pollution reduction

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

51 pages, 4870 KB  
Article
A Hybrid Digital CO2 Emission-Control Technology for Maritime Transport: Physics-Informed Adaptive Speed Optimization on Fixed Routes
by Doru Coșofreț, Florin Postolache, Adrian Popa, Octavian Narcis Volintiru and Daniel Mărășescu
Fire 2026, 9(3), 136; https://doi.org/10.3390/fire9030136 - 23 Mar 2026
Viewed by 1137
Abstract
This paper proposes a physics-informed hybrid digital CO2 emission-control technology for maritime transport, designed for adaptive ship speed optimization along a predefined geographical route between two ports, discretized into quasi-stationary segments and evaluated under forecasted metocean conditions, subject to economic and regulatory [...] Read more.
This paper proposes a physics-informed hybrid digital CO2 emission-control technology for maritime transport, designed for adaptive ship speed optimization along a predefined geographical route between two ports, discretized into quasi-stationary segments and evaluated under forecasted metocean conditions, subject to economic and regulatory constraints associated with maritime decarbonization. The framework integrates two exact optimization methods, Backtracking (BT) and Dynamic Programming (DP), with a reinforcement learning approach based on Proximal Policy Optimization (PPO), operating on a unified physical, economic, and regulatory modeling core. By reducing propulsion fuel demand, the system acts as an upstream CO2 emission-control mechanism for ship propulsion. This operational stabilization of the engine load creates favourable boundary conditions for advanced combustion processes and reduces the volumetric flow of exhaust gas, thereby lowering the technical burden on potential post-combustion carbon capture systems. Segment-wise speed profiles are optimized subject to propulsion limits, Estimated Time of Arrival (ETA) feasibility, and regulatory constraints, including the Carbon Intensity Indicator (CII), the European Union Emissions Trading System (EU ETS) and FuelEU Maritime. The physics-based propulsion and energy model is validated using full-scale operational data from four real voyages of an oil/chemical tanker. A detailed case study on the Milazzo–Motril route demonstrates that adaptive speed optimization consistently outperforms conventional cruise operation. Exact optimization methods achieve voyage time reductions of approximately 10% and fuel and CO2 emission reductions of about 9–10%. The reinforcement learning approach provides the best overall performance, reducing voyage time by approximately 15% and achieving fuel savings and CO2 emission reductions of about 13%. At the route level, the Carbon Intensity Indicator is reduced by approximately 10% for the exact methods and by about 13% for PPO. Backtracking and Dynamic Programming converge to nearly identical globally optimal solutions within the discretized decision space, while PPO identifies solutions located on the most favourable region of the cost–time Pareto front. By benchmarking reinforcement learning against exact discrete solvers within a shared physics-informed structure, the proposed digital platform provides transparent validation of learning-based optimization and offers a scalable decision-support technology for pre-fixture evaluation of fixed-route voyages. The system enables quantitative assessment of CO2 emissions, ETA feasibility, and regulatory exposure (CII, EU ETS, FuelEU Maritime penalties) prior to transport contracting, thereby supporting economically and environmentally informed operational decisions. Full article
(This article belongs to the Special Issue Novel Combustion Technologies for CO2 Capture and Pollution Control)
►▼ Show Figures

Figure 1

15 pages, 2645 KB  
Article
Microwave Chemical Looping Synergistic Gasification of Polypropylene Plastic and Water Hyacinth
by Fengxia An, Delu Chen, Wenli Mao, Ying Yu, Danyang Shao, Zhaoping Zhong and Xiaojia Wang
Fire 2025, 8(2), 76; https://doi.org/10.3390/fire8020076 - 12 Feb 2025
Cited by 1 | Viewed by 1844
Abstract
The microwave chemical looping synergistic gasification characteristics of municipal solid waste polypropylene plastic and the organic solid waste water hyacinth are experimentally investigated in this study. In addition, the characterizations of oxygen carriers before and after the reaction are combined to analyze the [...] Read more.
The microwave chemical looping synergistic gasification characteristics of municipal solid waste polypropylene plastic and the organic solid waste water hyacinth are experimentally investigated in this study. In addition, the characterizations of oxygen carriers before and after the reaction are combined to analyze the evolution of the microscopic morphology of oxygen carriers and the changes in the relative contents of each valence state of Fe and O elements. The results show that an increase in the water hyacinth mixing ratio presents positive effects on tar cracking and a slight negative effect on syngas yield. At the water hyacinth mixing ratio of 75%, the cold gas efficiency and carbon conversion can reach maximum values of 77.64% and 69.9%, respectively. The H2 yield and H2/CO ratio in syngas can be also improved to 0.34 Nm3/kg and 1.62, respectively. In addition, a minimum tar yield of 0.133 g/g (fuel) can be obtained at this mixing ratio. Moreover, the addition of water hyacinth has a continuous increase effect on monocyclic aromatic hydrocarbon (MAH) products of tar, and a continuous decrease effect on naphthalene and bicyclic aromatic hydrocarbons (NAH) products. This work explores the synergistic properties of organic waste plastics and agroforestry wastes during microwave chemical looping gasification, which is a useful exploration for solving the environmental problems caused by waste materials and agroforestry wastes as well as realizing the resourceful utilization of solid wastes. Full article
(This article belongs to the Special Issue Novel Combustion Technologies for CO2 Capture and Pollution Control)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop