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Sustainability
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Sustainable Hydrocarbon Processing
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Special Issue "Sustainable Hydrocarbon Processing"

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

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editor

Dr. Nejat Rahmanian
E-Mail Website
Guest Editor
Department of Chemical Engineering, University of Bradford, BD7 1DP, UK
Interests: Carbon capture; Energy; Process simulation

Special Issue Information

Dear Colleagues,

This Special Issue will address current ongoing research in the oil and gas industry with a focus on sustainability. The current trend shows that fossil fuels play a major role in global warming and climate change. This Special Issue will explore how the current oil and gas processes can be run more sustainably with a low- or zero-carbon footprint. Papers from both academia and industry are welcome. We would like you to submit your research articles and highlight how your work improves the process. Research on the circular economy, reduce, reuse, recycle, and redesign are most welcome.

Dr. Nejat Rahmanian
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 papers will be 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 1900 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

  • Sustainability
  • carbon capture
  • global warming
  • climate change
  • sustainable process
  • circular economy

Published Papers (2 papers)

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Research

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Article
Assessment of Cubic Equations of State: Machine Learning for Rich Carbon-Dioxide Systems
by
George Truc
,
Nejat Rahmanian
and
Mahboubeh Pishnamazi
Sustainability 2021, 13(5), 2527; https://doi.org/10.3390/su13052527 - 26 Feb 2021
Viewed by 467
Abstract
Carbon capture and storage (CCS) has attracted renewed interest in the re-evaluation of the equations of state (EoS) for the prediction of thermodynamic properties. This study also evaluates EoS for Peng–Robinson (PR) and Soave–Redlich–Kwong (SRK) and their capability to predict the thermodynamic properties [...] Read more.
Carbon capture and storage (CCS) has attracted renewed interest in the re-evaluation of the equations of state (EoS) for the prediction of thermodynamic properties. This study also evaluates EoS for Peng–Robinson (PR) and Soave–Redlich–Kwong (SRK) and their capability to predict the thermodynamic properties of CO2-rich mixtures. The investigation was carried out using machine learning such as an artificial neural network (ANN) and a classified learner. A lower average absolute relative deviation (AARD) of 7.46% was obtained for the PR in comparison with SRK (AARD = 15.0%) for three components system of CO2 with N2 and CH4. Moreover, it was found to be 13.5% for PR and 19.50% for SRK in the five components’ (CO2 with N2, CH4, Ar, and O2) case. In addition, applying machine learning provided promise and valuable insight to deal with engineering problems. The implementation of machine learning in conjunction with EoS led to getting lower predictive AARD in contrast to EoS. An of AARD 2.81% was achieved for the three components and 12.2% for the respective five components mixture. Full article
(This article belongs to the Special Issue Sustainable Hydrocarbon Processing)
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Review

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Review
Applications of Biocatalysts for Sustainable Oxidation of Phenolic Pollutants: A Review
by
Sanaz Salehi
,
Kourosh Abdollahi
,
Reza Panahi
,
Nejat Rahmanian
,
Mozaffar Shakeri
and
Babak Mokhtarani
Sustainability 2021, 13(15), 8620; https://doi.org/10.3390/su13158620 - 02 Aug 2021
Viewed by 391
Abstract
Phenol and its derivatives are hazardous, teratogenic and mutagenic, and have gained significant attention in recent years due to their high toxicity even at low concentrations. Phenolic compounds appear in petroleum refinery wastewater from several sources, such as the neutralized spent caustic waste [...] Read more.
Phenol and its derivatives are hazardous, teratogenic and mutagenic, and have gained significant attention in recent years due to their high toxicity even at low concentrations. Phenolic compounds appear in petroleum refinery wastewater from several sources, such as the neutralized spent caustic waste streams, the tank water drain, the desalter effluent and the production unit. Therefore, effective treatments of such wastewaters are crucial. Conventional techniques used to treat these wastewaters pose several drawbacks, such as incomplete or low efficient removal of phenols. Recently, biocatalysts have attracted much attention for the sustainable and effective removal of toxic chemicals like phenols from wastewaters. The advantages of biocatalytic processes over the conventional treatment methods are their ability to operate over a wide range of operating conditions, low consumption of oxidants, simpler process control, and no delays or shock loading effects associated with the start-up/shutdown of the plant. Among different biocatalysts, oxidoreductases (i.e., tyrosinase, laccase and horseradish peroxidase) are known as green catalysts with massive potentialities to sustainably tackle phenolic contaminants of high concerns. Such enzymes mainly catalyze the o-hydroxylation of a broad spectrum of environmentally related contaminants into their corresponding o-diphenols. This review covers the latest advancement regarding the exploitation of these enzymes for sustainable oxidation of phenolic compounds in wastewater, and suggests a way forward. Full article
(This article belongs to the Special Issue Sustainable Hydrocarbon Processing)
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