Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.5
2.8
Journals
Processes
Special Issues
Environmental Pollution Control and Renewable Energy Conversion Technologies
share announcement

Environmental Pollution Control and Renewable Energy Conversion Technologies

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Environmental and Green Processes".

Deadline for manuscript submissions: 5 March 2026 | Viewed by 611

Special Issue Editor

Dr. Da Cui

E-Mail Website
Guest Editor
Engineering Research Centre of Oil Shale Comprehensive Utilization, Ministry of Education, Northeast Electric Power University, Jilin City 132012, China
Interests: kerogen; pyrolysis mechanism; oil shale; molecular characterization; biomass conversion
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid development of industrialization and urbanization has led to significant environmental challenges, including air and water pollution, greenhouse gas emissions, and the accumulation of solid waste. At the same time, the global transition toward sustainable and low-carbon energy systems requires innovative technologies for clean energy production, resource recovery, and pollution mitigation. The integration of environmental pollution control and renewable energy conversion technologies not only helps improve environmental quality but also supports the efficient utilization of resources and enhances energy security.

This Special Issue on “Environmental Pollution Control and Renewable Energy Conversion Technologies” seeks high-quality original research articles, reviews, and case studies focusing on the development, optimization, and application of advanced technologies for pollution reduction and clean energy generation. Topics include, but are not limited to:

  • Air and water pollution control technologies;
  • Biomass thermochemical and biochemical conversion;
  • Waste-to-energy and carbon-neutral technologies;
  • Catalytic and non-catalytic processes for pollution abatement;
  • Advanced oxidation and reduction processes;
  • Hydrogen production and storage from renewable resources;
  • Process modeling, simulation, and system optimization;
  • Life cycle assessment (LCA) and techno-economic analysis of clean technologies;
  • Integration of AI, machine learning, and smart control in pollution and energy systems.

We welcome contributions from academic researchers, industry professionals, and policy experts who work at the intersection of environmental science and renewable energy engineering.

Dr. Da Cui
Guest Editor

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-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 semimonthly 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

  • porous media
  • condensation heat and mass transfer
  • energy storage
  • renewable energy conversion
  • CFD
  • LBM
  • artificial intelligence in energy and environment
  • sustainable process engineering

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

14 pages, 1734 KB  
Article
Biodecolorization of Textile Azo Dyes and Phytotoxicity Assessment of Metabolites by Bacillus subtilis CKCC
by Chanchao Chem, Sarawut Cheunkar, Prattana Ketbot, Sirilak Baramee, Apinya Singkhala, Rattiya Waeonukul, Patthra Pason, Khanok Ratanakhanokchai and Chakrit Tachaapaikoon
Processes 2026, 14(3), 570; https://doi.org/10.3390/pr14030570 - 6 Feb 2026
Viewed by 222
Abstract
Synthetic azo dyes are widely used in the textile industry; however, their use often poses environmental challenges. Here, we characterized the compost bacterium Bacillus subtilis strain CKCC for the decolorization of various azo dyes, including Congo Red, Reactive Black 5, Reactive Green 19, [...] Read more.
Synthetic azo dyes are widely used in the textile industry; however, their use often poses environmental challenges. Here, we characterized the compost bacterium Bacillus subtilis strain CKCC for the decolorization of various azo dyes, including Congo Red, Reactive Black 5, Reactive Green 19, Reactive Red 120, and Reactive Blue 4. The application of strain CKCC exhibited high decolorization efficiency by utilizing various extracellular enzymes, including azoreductase and ligninolytic enzymes such as laccase, lignin peroxidase, and manganese peroxidase, which are essential for the decolorization of azo dyes. Fourier transform infrared spectroscopy (FTIR) analysis revealed structural changes during decolorization, consistent with the degradation of key functional groups. This transformation was attributed to the cleavage of azo linkages by azoreductase, with ligninolytic enzymes functioning on phenolic and aromatic moieties. While FTIR confirmed these structural changes, our findings only provided insights at the functional-group level, and the presence or absence of specific decolorized metabolites, such as aromatic amines, requires additional analytical techniques. In this study, the phytotoxic metabolites positively affected the germination and growth of Vigna radiata, confirming that decolorization using strain CKCC significantly reduced the toxic properties of the metabolites produced during dye decolorization. Hence, our isolated strain CKCC offers a potentially effective and environmentally sustainable method for treating azo-dye effluent in the textile industry. Full article
(This article belongs to the Special Issue Environmental Pollution Control and Renewable Energy Conversion Technologies)
►▼ Show Figures

Figure 1

24 pages, 3771 KB  
Article
Combustion Characteristics, Kinetics, and Molecular Dynamics Insights of Rice Husk Biomass Under Oxy-Fuel Conditions
by Dandan Li, Qing Wang, Yufeng Pei, Yuqi Wang, Xiuyan Zhang, Chang Yu, Hongpeng Zhao, Shuang Wu and Da Cui
Processes 2026, 14(3), 514; https://doi.org/10.3390/pr14030514 - 2 Feb 2026
Viewed by 186
Abstract
Rice husk biomass was investigated under O2/CO2 oxy-fuel conditions using Thermogravimetric analysis (TG)-derivative thermogravimetry (DTG)-mass spectrometry (MS) experiments, iso-conversional kinetic analysis, and ReaxFF reactive molecular dynamics simulations. Oxy-fuel combustion significantly enhanced combustion performance compared with air combustion. At 10 °C·min [...] Read more.
Rice husk biomass was investigated under O2/CO2 oxy-fuel conditions using Thermogravimetric analysis (TG)-derivative thermogravimetry (DTG)-mass spectrometry (MS) experiments, iso-conversional kinetic analysis, and ReaxFF reactive molecular dynamics simulations. Oxy-fuel combustion significantly enhanced combustion performance compared with air combustion. At 10 °C·min−1, the ignition and burnout temperatures decreased to 235 °C and 435 °C under 70%O2/30%CO2, while the maximum mass loss rate increased more than fivefold and the comprehensive combustion index increased markedly. Online MS analysis showed concentrated CO2 formation and O2 consumption within 280–330 °C, accompanied by markedly suppressed NOx and SO2 emissions. Kinetic analysis revealed high apparent activation energies (525–548 kJ·mol−1) at α ≈ 0.5; these values are conversion-dependent and sensitive to the iso-conversional method employed and therefore reflect relative kinetic trends rather than intrinsic Arrhenius parameters, indicating a transition from chemical control to diffusion–structure-coupled control. Molecular dynamics simulations further confirmed that moderate oxygen enrichment promotes organic backbone cleavage, whereas excessive oxygen leads to a carbon-limited regime. These results provide mechanistic insights into biomass oxy-fuel combustion and its optimization for CO2 capture applications. Full article
(This article belongs to the Special Issue Environmental Pollution Control and Renewable Energy Conversion Technologies)
►▼ 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