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Sustainability Perspectives in Carbon Capture and Enhanced Gas Utilization
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Sustainability Perspectives in Carbon Capture and Enhanced Gas Utilization

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 1669

Special Issue Editors

Dr. Muhammad Abdul Qyyum

E-Mail Website
Guest Editor
Petroleum and Chemical Engineering Department, College of Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khod 123, Muscat, Oman
Interests: hydrogen economy; energy transition; CCUS; and decarbonization
Special Issues, Collections and Topics in MDPI journals
Dr. Nasser Ahmed Al-Azri

E-Mail Website
Guest Editor
Department of Mechanical Engineering, College of Engineering, Sultan Qaboos University, Muscat, Oman
Interests: energy and process optimization; energy management; radiation and metrology, process integration; CO2 capture

Special Issue Information

Dear Colleagues, 

This Special Issue on "Sustainability Perspectives in Carbon Capture and Enhanced Gas Utilization" delves into the vital role of carbon capture, utilization, and storage (CCUS) technologies in promoting global sustainability, particularly in relation to Sustainable Development Goals (SDGs). As carbon emissions approach 37 gigatons annually, effective CCUS strategies are essential for achieving SDG 13 (Climate Action) by significantly reducing greenhouse gas emissions in alignment with the global Net-Zero Emissions strategy by 2050. Furthermore, innovations in carbon capture methods and utilization pathways that convert CO2 into valuable products align with SDG 9 (Industry, Innovation, and Infrastructure) and SDG 7 (Affordable and Clean Energy), which emphasize the need for reliable, sustainable energy services. The potential for geological sequestration also supports SDG 15 (Life on Land) by ensuring responsible ecosystem management while enhancing resource efficiency through practices like enhanced oil recovery. Contributions are encouraged to explore new concepts, process optimizations, and emerging technologies in CCUS. This Special Issue aims to drive sustainable solutions that address immediate environmental challenges while contributing to long-term ecological balance and resilience across multiple SDGs, particularly those related to energy access and sustainable infrastructure. Consequently, the Guest Editors encourage the submission of state-of-the-art research articles on sustainability perspectives in carbon capture and enhanced gas utilization. Topics of interest include, but are not limited to, the following:

  • Carbon capture systems;
  • Carbon footprint analysis;
  • Life cycle assessment;
  • Carbon utilization;
  • Carbon sequestration;
  • Carbon storage;
  • Biogenic CO2 capture and utilization;
  • RE based CO2 removal (BECCS);
  • FF based CO2 capture and storage (CCS);
  • Energy efficiency enhancement of CO2 capture systems;
  • CO2 transportation;
  • Circular economy and Sustainable Developments Goals.

Dr. Muhammad Abdul Qyyum
Dr. Nasser Ahmed Al-Azri
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Sustainability 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

  • carbon capture
  • carbon utilization
  • greenhouse gas mitigation
  • circular carbon economy
  • sustainable energy solutions
  • climate change mitigation

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Published Papers (2 papers)

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22 pages, 2915 KB  
Article
Resilience Assessment and Sustainability Enhancement of Gas and CO2 Utilization via Carbon–Hydrogen–Oxygen Symbiosis Networks
by Meshal Aldawsari and Mahmoud M. El-Halwagi
Sustainability 2025, 17(19), 8622; https://doi.org/10.3390/su17198622 - 25 Sep 2025
Viewed by 387
Abstract
Decarbonizing the industrial sector is essential to achieving net-zero targets and ensuring a sustainable future. Carbon–Hydrogen–Oxygen Symbiosis Networks (CHOSYN) are a set of interconnected hydrocarbon-processing plants that optimize the synergistic use of mass and energy resources in pursuit of both environmental objectives and [...] Read more.
Decarbonizing the industrial sector is essential to achieving net-zero targets and ensuring a sustainable future. Carbon–Hydrogen–Oxygen Symbiosis Networks (CHOSYN) are a set of interconnected hydrocarbon-processing plants that optimize the synergistic use of mass and energy resources in pursuit of both environmental objectives and profitability enhancement. However, this interconnectedness also introduces fragility, arising from technical and administrative dependencies among the participating facilities. In this work, a systematic framework is introduced to incorporate resilience assessment and sustainability enhancement within CHOSYNs. A CHOSYN representation is developed for a proposed industrial cluster, where processes are linked through interceptor units, which facilitate the exchange and conversion of carbon-, hydrogen-, and oxygen-based streams to meet demands. A multi-objective optimization framework is formulated with four competing goals: minimizing cost, minimizing net CO2 emissions, maximizing internal CO2 utilization, and minimizing the number of interceptors’ processing steps. The augmented ε-constraint method is used to generate a Pareto front that captures the trade-offs among these objectives. To complement the synthesis, a resilience assessment framework is applied to evaluate network performance under disruption by incorporating inter-plant dependencies and modeling disruption propagation. The results show that even under worst-case scenarios, integration through CHOSYN can achieve significant gains in CO2 utilization and reductions in raw material procurement requirements. Resilience analysis adds an important dimension by quantifying the economic impacts of disruptions to both highly connected and sparsely connected yet critical nodes, revealing vulnerabilities not evident from topology alone. Full article
(This article belongs to the Special Issue Sustainability Perspectives in Carbon Capture and Enhanced Gas Utilization)
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26 pages, 5332 KB  
Article
Spatiotemporal Dynamics of Carbon Storage in Utah: Insights from Remote Sensing and Climate Variables
by Nehir Uyar
Sustainability 2025, 17(5), 1976; https://doi.org/10.3390/su17051976 - 25 Feb 2025
Viewed by 797
Abstract
Climate change mitigation relies heavily on understanding carbon storage dynamics in terrestrial ecosystems. This study examines the relationship between carbon storage (kg/m2) and various climatic variables, including precipitation, temperature, humidity, and radiation. Machine learning models such as Random Forest (RF), Gradient [...] Read more.
Climate change mitigation relies heavily on understanding carbon storage dynamics in terrestrial ecosystems. This study examines the relationship between carbon storage (kg/m2) and various climatic variables, including precipitation, temperature, humidity, and radiation. Machine learning models such as Random Forest (RF), Gradient Tree Boost (GTB), Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Multiple Regression (MR) were applied. Among these, Random Forest exhibited the highest explanatory power (R2 = 0.95, Adj. R2 = 0.75, F-score = 4.721, Accuracy = 0.67), while ANN showed the highest predictive accuracy (Accuracy = 0.80). The results underline the significant role of climatic factors in shaping carbon dynamics, emphasizing the integration of machine learning-based models in carbon capture and sequestration (CCS) strategies. Furthermore, carbon storage dynamics in Utah from 1991 to 2020 were analyzed using remote sensing data and multiple regression models. Carbon storage was found to be highest in forested areas, wetlands, and natural grasslands, while agricultural and wildfire-affected zones exhibited lower carbon stocks. Climatic factors, particularly precipitation, temperature, and humidity, were identified as significant drivers of carbon sequestration, with moderate precipitation and favorable temperatures enhancing carbon retention. The study highlights the importance of region-specific CCS strategies, which rely on accurate climate-driven carbon storage assessments, for ensuring sustainable resource management and mitigating anthropogenic climate impacts. Full article
(This article belongs to the Special Issue Sustainability Perspectives in Carbon Capture and Enhanced Gas Utilization)
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