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Processes
Special Issues
Sustainable Chemical Engineering Processes and Intensification
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Sustainable Chemical Engineering Processes and Intensification

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

Deadline for manuscript submissions: closed (30 October 2024) | Viewed by 4647

Special Issue Editors

Dr. Jesus Rafael Alcantara-Avila

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Guest Editor
Department of Chemical Engineering, Kyoto University, Kyoto 615-8510, Japan
Interests: mathematical programming; superstructure; process optimization; process intensification; sustainability
Dr. Julián Cabrera Ruiz

E-Mail Website
Guest Editor
Department of Chemical Engineering, University of Guanajuato, Guanajuato 36050, Mexico
Interests: global stochastic optimization; process synthesis; intensified processes design; process control
Dr. Yuhe Tian

E-Mail Website
Guest Editor
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV 26506, USA
Interests: process systems engineering; modular process intensification; process synthesis and optimization; multi-scale energy systems

Special Issue Information

Dear Colleagues,

We are pleased to announce the forthcoming Special Issue, titled "Sustainable Chemical Engineering Processes and Intensification", which aims to gather cutting-edge research and innovation in the field of process intensification in chemical engineering. As the global community urges for sustainable development, chemical engineering plays a key role in reshaping industrial processes to minimize their environmental impact, energy consumption, water, and CO2 footprint.

This Special Issue is dedicated to exploring novel techniques and approaches that promote sustainability while enhancing the efficiency and productivity of chemical engineering processes. Contributors can range within a wide spectrum of theoretical, methodological, and/or experimental topics, including but not limited to process intensification, cleaner production, renewable energy integration, and waste minimization, to address the challenges of a rapidly changing world. Contributions addressing the Sustainable Development Goals will be particularly appreciated.

The Special Issue "Sustainable Chemical Engineering Processes and Intensification" seeks to inspire collaboration, foster interdisciplinary research, and promote sustainable manufacture and processing in chemical engineering.

Dr. Jesus Rafael Alcantara-Avila
Dr. Julián Cabrera Ruiz
Dr. Yuhe Tian
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. 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 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

  • process intensification
  • computer modeling
  • optimization
  • sustainable processes
  • SDGs
  • heat integration
  • carbon neutral
  • environmental impact
  • green processes
  • green chemistry

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

Published Papers (3 papers)

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Research

19 pages, 2198 KiB  
Article
Observer Design for State and Parameter Estimation for Two-Time-Scale Nonlinear Systems
by Zhenyu Xiao and Zhaoyang Duan
Processes 2024, 12(12), 2875; https://doi.org/10.3390/pr12122875 - 16 Dec 2024
Viewed by 805
Abstract
The design and calculation of nonlinear observers for parameter estimation in multi-time-scale nonlinear systems present significant challenges due to the inherent complexity and stiffness of such systems. This study proposes a framework for designing observers for two-time-scale nonlinear systems, with the objective of [...] Read more.
The design and calculation of nonlinear observers for parameter estimation in multi-time-scale nonlinear systems present significant challenges due to the inherent complexity and stiffness of such systems. This study proposes a framework for designing observers for two-time-scale nonlinear systems, with the objective of overcoming the aforementioned challenges. The design procedure involves reducing the original two-time-scale nonlinear system to a lower-dimensional model that captures only the slow dynamics while approximating the fast states through the use of an algebraic slow motion invariant manifold function. Subsequently, an exponential observer can be devised for this reduced system, which is valid for both state and parameter estimation. By employing the output from the original system, this observer can be adapted for online state and parameter estimation for the detailed two-time-scale system. The challenges associated with estimating parameters in two-time-scale nonlinear systems, the complexities of designing observers for such systems, and the computational burden associated with computing observers for ill-conditioned systems can be effectively addressed through the application of this design framework. A rigorous error analysis validates the convergence of the proposed observer towards the states and parameters of the original system. The viability and necessity of this observer design framework are demonstrated through a numerical example and an anaerobic digestion process. This study presents a practical approach for state and parameter estimation with observers for two-time-scale nonlinear systems. Full article
(This article belongs to the Special Issue Sustainable Chemical Engineering Processes and Intensification)
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18 pages, 1905 KiB  
Article
Optimum Planning of Carbon Capture and Storage Network Using Goal Programming
by Fatma M. Ayyad, Walaa M. Shehata, Ahmed A. Bhran, Abdelrahman G. Gadallah and Abeer M. Shoaib
Processes 2024, 12(11), 2463; https://doi.org/10.3390/pr12112463 - 7 Nov 2024
Viewed by 994
Abstract
Carbon capture and storage (CCS) is a critical technology used for mitigating climate change by capturing carbon dioxide emissions from industrial sources and storing them underground to prevent their release into the atmosphere. Despite its potential, optimizing CCS systems for cost-effectiveness and efficiency [...] Read more.
Carbon capture and storage (CCS) is a critical technology used for mitigating climate change by capturing carbon dioxide emissions from industrial sources and storing them underground to prevent their release into the atmosphere. Despite its potential, optimizing CCS systems for cost-effectiveness and efficiency improvement remains a significant challenge. In this paper, the optimization of CCS systems through the development and application of two mathematical optimization techniques is introduced. The first technique is based on using a superstructure optimization model, while the second technique relies on applying a goal programming optimization model. These models were solved using LINGO software version API 14.0.5099.166 to enhance the efficiency and cost-effectiveness of CCS systems. The first model, seeking to maximize the exchange of CO2 flowrate from sources to sinks, achieved a CO2 capture rate of 93.36% with an annual total cost of USD 1.175 billion. The second model introduced a novel mixed-integer non-linear programming (MINLP) approach for multi-objective optimization, targeting the minimization of total system cost, alternative storage, and unutilized storage while maximizing CO2 load exchange. The application of the second model, when prioritized to maximize CO2 flowrate exchange using the goal programming technique, resulted in a cost reduction of 36.46% and a CO2 capture rate of 75.87%. In contrast, when the second model prioritized minimizing the total annual cost, a 48% cost reduction was achieved, and the CO2 capture rate was decreased by 68.37%. A comparison of the two models’ results is presented. The results showed that the second model, with the priority of maximizing CO2 capture, provides the best economic–environmental objective balance, which offers notable cost reductions while keeping an efficient CO2 capture rate. This study highlights the potential of advanced mathematical modeling in increasing the feasibility of CCS as one of the very important strategies of mitigating climate change and reducing global warming. Full article
(This article belongs to the Special Issue Sustainable Chemical Engineering Processes and Intensification)
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18 pages, 1617 KiB  
Article
Exploring Exergy Performance in Tetrahydrofuran/Water and Acetone/Chloroform Separations
by Jonathan Wavomba Mtogo, Gladys Wanyaga Mugo, Petar Sabev Varbanov, Agnes Szanyi and Péter Mizsey
Processes 2024, 12(1), 14; https://doi.org/10.3390/pr12010014 - 20 Dec 2023
Viewed by 1704
Abstract
Distillation is significantly influenced by energy costs, prompting a need to explore effective strategies for reducing energy consumption. Among these, heat integration is a key approach, but evaluating its efficiency is paramount. Therefore, this study presents exergy as an energy quality indicator, analyzing [...] Read more.
Distillation is significantly influenced by energy costs, prompting a need to explore effective strategies for reducing energy consumption. Among these, heat integration is a key approach, but evaluating its efficiency is paramount. Therefore, this study presents exergy as an energy quality indicator, analyzing irreversibility and efficiencies in tetrahydrofuran/water and acetone/chloroform distillations. Both systems have equimolar feed streams, yielding products with 99.99 mol% purity. The simulations are performed using Aspen Plus™, enabling evaluation at the column level, as a standalone process, or from a lean perspective that considers integration opportunities with other plants. The results show that, despite anticipated energy savings from heat integration, economic viability depends on pressure sensitivity. The results demonstrate that heat-integrated extractive distillation for acetone/chloroform raises utility energy consumption. Exergy calculations comparing standalone and total site integration reveal the variation in distillation efficiency with operation mode. Global exergy efficiency in both extractive and pressure-swing distillation depends on the fate of condenser duty. In heat-integrated extractive distillation, global exergy efficiency drops from 8.7% to 5.7% for tetrahydrofuran/water and 11.5% to 8.3% for acetone/chloroform. Similarly, heat-integrated pressure-swing distillation sees global exergy efficiency decrease from 34.2% to 23.7% for tetrahydrofuran/water and 9.5% to 3.6% for acetone/chloroform, underscoring the nuanced impact of heat integration, urging careful process design consideration. Full article
(This article belongs to the Special Issue Sustainable Chemical Engineering Processes and Intensification)
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