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Energy, Economic and Environment for Industrial Production Processes

This special issue belongs to the section “Energy Systems“.

Special Issue Information

Dear Colleagues,

Facing significant natural resource consumption, environmental degradation, and the resulting climate warming, national administrations have increased their focus on ecological modernization, green growth, and low carbon development, with a national sustainability strategy. The industrial sector, recognized as an important pillar in the national economy, brings vast amounts of energy consumption at a low efficiency and high carbon emissions, becoming the walls to the coordinated development of the energy, economic, and environment. Studying the nexus between energy, economy, and environment (3E) of industrial production processes is a significant issue for promoting industrial sustainable development.

The scope of the Processes journal covers research in chemistry, biology, materials and allied engineering fields. Thus, in this Special Issue, we invite articles focused on research regarding the chemistry, biology, materials and allied engineering firms (manufacturing processes, iron and steel production processes, mining processes, power generation processes, and so on).

This Special Issue will focus on publishing original research works about 3E for industrial production processes including discrete production processes and process production processes, from various aspects that tackle product, process, and system issues in production. The aim is to report the state-of-the-art on relevant research topics and highlight the barriers, challenges, and opportunities we are facing. It also welcomes studies that stimulate the research discussion of moving towards production in a particular industrial sector.

Topics of interest for this Special Issue include, but are not limited to:

  • The nexus between 3E in industrial production processes
  • 3E modelling and analysis in industrial production processes
  • 3E assessment and optimization in industrial production processes
  • Performance indicators and certifications of 3E in industrial production processes
  • Data-driven 3E for industrial production processes
  • Green production and process optimization
  • Cleaner energy production
  • Carbon emission and accounting in the industrial sector
  • Industrial energy efficiency

Dr. Wei Cai
Prof. Dr. Guangdong Tian
Prof. MengChu Zhou
Prof. Fu Zhao
Dr. Jorge Cunha
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 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

  • Energy, economic and environment
  • Industrial production processes
  • Carbon emission
  • Green production
  • Sustainability

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Processes - ISSN 2227-9717