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Intelligent Circularity in Bio-Based Energy Systems, Processes and Value Chains

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Products and Services".

Deadline for manuscript submissions: closed (15 April 2023) | Viewed by 12764

Special Issue Editors


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Guest Editor
Institute for Molecules and Materials, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands
Interests: process and energy modelling; circularity; process optimization; machine learning; process improvement; chemometrics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Biomass Waste-to-Wealth Special Interest Group, Faculty of Engineering, Computing and Science, Swinburne University of Technology, Jalan Simpang Tiga, Kuching 93350, Sarawak, Malaysia
Interests: sustainable biomass value chain; energy planning & carbon management; process integration & optimization; circular economy; P-graph application

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Guest Editor
Integrated Engineering, Department of Environmental Science and Engineering, College of Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-Si 17104, Gyeonggi-do, Korea
Interests: environmental systems engineering; energy systems engineering; environment informatics; artificial ntelligence for environment; Health/ Environment/ Safety (HSE); smart O&M; computational toxicology; bigdata/AI

E-Mail Website
Guest Editor
Institute for Molecules and Materials, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands
Interests: industrial sustainability; smart industries; chemometrics; Industry 4.0

Special Issue Information

Dear Colleagues:

In the paradigm of accelerated growth and transition towards United Nations Sustainability Development Goals (2030 agenda), resource circularity has become an important topic in industrial processes, energy systems and value chains. The mitigation of direct and indirect greenhouse gas emissions has become a key priority for companies and institutes to move towards new technology and business models. Considering resource circularity, one of the most promising strategies for the circular transition is to explore and replace existing systems with bio-based alternatives. Nevertheless, bio-based resources and materials are 

difficult to model due to their often complicated and uncertain underlying compositions. In this light, there is a challenging demand for more representative and intelligent modelling approaches to provide support for circularity within our bio-based future.

The aim of this Special Issue is to promote the research advances in intelligent modelling approaches for decision support in bio-based energy systems, processes and value chains. A key element for the Special Issue is in promoting circularity with the motive of achieving United Nations Sustainability Development Goals. In this Special Issue, both original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Process and Energy Modelling of Bio-based Applications
  • Bio-based Product and Molecular Design
  • Characterization or Tracking of Materials or Chemicals
  • Value Chain and Supply Chain Modelling
  • Bio-based Energy Systems
  • Process Optimization, Improvement, Monitoring or Integration
  • Resources Conservation, Recycling and Waste Management
  • Spectroscopic Data Analysis
  • Environmental Monitoring and Assessment
  • Chemometrics application
  • Bio-based Industry 4.0 Strategies

Modelling and computation research works are strongly encouraged, however experimental research with significant modelling elements are also welcomed. The modelling approaches encouraged (not mandatory) includes:

  • Data-driven Modelling
  • Machine learning/ Artificial Intelligence/Deep learning
  • Spectroscopy or Chemometrics Models
  • Dynamic/Kinetic Modelling
  • Computational Optimization Models
  • P-graph
  • System modelling
  • Process Simulation Models
  • Design of Experiments
  • Multi-criteria Decision-Making (MCDM)
  • Principal Component Analysis (PCA)

We gladly invite you to submit a manuscript to this Special Issue. Look forward to receiving your contributions. Thank you.

Dr. Sin Yong Teng
Dr. Bing Shen How
Prof. Dr. ChangKyoo Yoo
Dr. Jeroen Jansen
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

  • circular economy
  • bio-based
  • Artificial Intelligence
  • data-driven
  • value chains

Published Papers (4 papers)

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Research

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30 pages, 5105 KiB  
Article
Synthesis of Biomass Corridor in Peninsular Malaysia via Hybrid Mathematical and Graphical Framework
by Hon Loong Lam, Jia Chun Ang, Yi Peng Heng, Ho Yan Lee, Adrian Chun Minh Loy and Bing Shen How
Sustainability 2023, 15(14), 10980; https://doi.org/10.3390/su151410980 - 13 Jul 2023
Viewed by 878
Abstract
The valorisation of biomass by synthesising a multi-biomass corridor can be an optimistic pathway to solving the growing waste management problem. However, the supply chain problem usually involves a massive number of variables, including the connectivity of the sink source and the selection [...] Read more.
The valorisation of biomass by synthesising a multi-biomass corridor can be an optimistic pathway to solving the growing waste management problem. However, the supply chain problem usually involves a massive number of variables, including the connectivity of the sink source and the selection of a technology pathway. In this work, a “Decomposition Approach” was utilised, wherein a P-graph was incorporated with a conventional mathematical model to reduce the number of variables. Although this type of approach is well established with respect to solving biomass supply chain problems, no previous works have comprehensively considered the effect of the maximum allowable travel distance (MATD) on a supply chain model. A case study in Peninsular Malaysia involving oil palm, paddy, and coconut biomass was conducted using the proposed approach. Moreover, a multiple linear regression (MLR) tool for formulating the cost-correlated function based on the best technology pathway obtained from a P-Graph was incorporated. As a result, the net profit of the biomass corridor was estimated to be USD 0.87 billion, with 1.45 × 107 tonnes per year of biomass being sent to 39 processing hubs over a 20-year lifespan. Furthermore, a sensitivity analysis was also conducted to investigate the impact of several cost-related parameters on the net profit. Full article
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19 pages, 743 KiB  
Article
Analysing the Barriers Involved in Recycling the Textile Waste in India Using Fuzzy DEMATEL
by S. G. Ponnambalam, Bathrinath Sankaranarayanan, Koppiahraj Karuppiah, Shakthi Thinakaran, Pranesh Chandravelu and Hon Loong Lam
Sustainability 2023, 15(11), 8864; https://doi.org/10.3390/su15118864 - 31 May 2023
Cited by 3 | Viewed by 3920
Abstract
Post-consumer wastes from the textile industry are generally landfilled or incinerated. The dumping of large amounts of textile waste has resulted in severe environmental problems. Advancements in technologies have called for textile recycling; however, the level of embracement made by the textile industry [...] Read more.
Post-consumer wastes from the textile industry are generally landfilled or incinerated. The dumping of large amounts of textile waste has resulted in severe environmental problems. Advancements in technologies have called for textile recycling; however, the level of embracement made by the textile industry towards textile recycling is hampered by myriad factors. The scope of this study lies in identifying and analyzing multiple barriers to implementing textile recycling in India, encompassing all subsets of sustainability, i.e., social, economic, and environmental. The barriers are then evaluated using a Multiple Criteria Decision Making (MCDM) approach to identify the significant barriers. A trapezoidal fuzzy-DEMATEL methodology was executed to not only find the most influential barriers but also to find the cause-effect nature between every barrier. The outcome of the study indicates a lack of successful recycling business models, poor demand for recycled textiles goods, recycled products may not replace new products, lack of support for waste management in the industry, and absence of tax relief and rewarding policies as the top five barriers to textile waste recycling. This insight could help influence the decision of future policymakers in the field. Another aspect of the issue of pollution in the textile industry is the recent trend of fast fashion and the enormous amount of waste produced by overconsumption. The Sustainability Development Goal (SDG) 12 which is to ensure responsible production and consumption plays a key role in this sector. Full article
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14 pages, 1929 KiB  
Article
Economic Feasibility and Water Footprint Analysis for Smart Irrigation Systems in Palm Oil Industry
by Arivintharan Chalvantharan, Chun Hsion Lim and Denny K. S. Ng
Sustainability 2023, 15(10), 8069; https://doi.org/10.3390/su15108069 - 16 May 2023
Viewed by 1538
Abstract
The Malaysian palm oil industry is the second largest global producer of palm oil products in the world after Indonesia. However, oil palm plantation activities are typically very labour-intensive and inefficient. The rapid development of technologies, especially Industry Revolution 4.0 technologies, has brought [...] Read more.
The Malaysian palm oil industry is the second largest global producer of palm oil products in the world after Indonesia. However, oil palm plantation activities are typically very labour-intensive and inefficient. The rapid development of technologies, especially Industry Revolution 4.0 technologies, has brought forward a variety of advanced smart technologies and systems that can be adapted in the palm oil industry to improve the efficiency and yields in the industry as well as create better economic performance. This work aims to explore and quantify the potential of adaption and implementations of smart irrigation system in oil palm plantations. The proposed approach considers economic performance (return of investment, ROI) and water footprint (additional water usage) of smart irrigation. In addition, the analysis also includes the consideration of different server setup options and plantation sizes. The results show that smart irrigation is a feasible method to be implemented in oil palm plantations with positive economic performance for plantation with land size more than 1.5 ha. The findings also show a significant reduction in water footprint and costs in the smart irrigation system to achieve optimal moisture conditions in a plantation. This paper provides insight for oil palm stakeholders to understand the feasibility and performance of smart irrigation systems as a feasible option to transform oil palm plantations with Industrial Revolution 4.0 technologies. Full article
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Review

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34 pages, 1545 KiB  
Review
Rotary Kiln, a Unit on the Border of the Process and Energy Industry—Current State and Perspectives
by Jiří Bojanovský, Vítězslav Máša, Igor Hudák, Pavel Skryja and Josef Hopjan
Sustainability 2022, 14(21), 13903; https://doi.org/10.3390/su142113903 - 26 Oct 2022
Cited by 4 | Viewed by 5591
Abstract
A rotary kiln is a unique facility with widespread applications not only in the process industry, such as building-material production, but also in the energy sector. There is a lack of a more comprehensive review of this facility and its perspectives in the [...] Read more.
A rotary kiln is a unique facility with widespread applications not only in the process industry, such as building-material production, but also in the energy sector. There is a lack of a more comprehensive review of this facility and its perspectives in the literature. This paper gives a semi-systematic review of current research. Main trends and solutions close to commercial applications are found and evaluated. The overlap between process and energy engineering brings the opportunity to find various uncommon applications. An example is a biogas plant digestate treatment using pyrolysis in the rotary kiln. Artificial intelligence also finds its role in rotary kiln control processes. The most significant trend within rotary kiln research is the waste-to-energy approach in terms of various waste utilization within the process industry or waste pyrolysis in terms of new alternative fuel production and material utilization. Results from this review could open new perspectives for further research, which should be focused on integrated solutions using a process approach. New, complex solutions consider both the operational (mass calculations) and the energy aspects (energy calculations) of the integration as a basis for the energy sustainability and low environmental impact of rotary kilns within industrial processes. Full article
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