CHEMICAL ENGINEERING RESEARCH & DESIGN

Scope & Guideline

Catalyzing Progress in Chemical Research and Application.

Introduction

Explore the comprehensive scope of CHEMICAL ENGINEERING RESEARCH & DESIGN through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore CHEMICAL ENGINEERING RESEARCH & DESIGN in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN0263-8762
PublisherELSEVIER
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1983 to 2024
AbbreviationCHEM ENG RES DES / Chem. Eng. Res. Des.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal "Chemical Engineering Research & Design" is dedicated to advancing the field of chemical engineering through the dissemination of novel research findings and innovative methodologies. Its scope encompasses a wide range of topics that are critical to the development and optimization of chemical processes, materials, and technologies.
  1. Process Design and Optimization:
    Focuses on methodologies for optimizing chemical processes, including the design of reactors, separation units, and integrated systems, with a strong emphasis on sustainability and energy efficiency.
  2. Advanced Materials and Membrane Technology:
    Explores the synthesis and application of novel materials, particularly membranes for separation processes, with a focus on enhancing performance and reducing fouling.
  3. Modeling and Simulation:
    Emphasizes the development and application of computational models to predict the behavior of chemical processes, facilitating better design and operational strategies.
  4. Environmental Engineering and Waste Management:
    Addresses the treatment and management of industrial waste, including the recovery of valuable resources and the development of sustainable technologies for pollution control.
  5. Biochemical Engineering and Biotechnology:
    Investigates the use of biological systems and processes for the production of chemicals, biofuels, and pharmaceuticals, focusing on optimizing yields and process efficiency.
  6. Nanotechnology and Advanced Characterization Techniques:
    Involves the use of nanostructured materials and advanced characterization techniques to enhance chemical processes and product quality.
  7. Energy Systems and Thermodynamics:
    Covers the integration of energy systems within chemical processes, focusing on thermodynamic analysis and optimization for improved energy efficiency.
Recent publications in the journal indicate a shift towards more innovative and interdisciplinary research themes. These emerging scopes highlight the journal's responsiveness to contemporary challenges in chemical engineering and the integration of new technologies.
  1. Sustainable Chemical Processes:
    An increasing focus on sustainability, including the development of green chemistry practices and processes that minimize environmental impact and resource consumption.
  2. Machine Learning and AI Applications:
    The use of machine learning and artificial intelligence in optimizing chemical processes and predictive modeling is gaining traction, reflecting a broader trend towards data-driven decision-making in engineering.
  3. Electrochemical Processes:
    Research on electrochemical methods for carbon capture, energy storage, and conversion processes is emerging, driven by the need for cleaner energy solutions.
  4. Advanced Characterization Methods:
    There is a growing interest in advanced characterization techniques, such as in-situ imaging and spectroscopy, to better understand chemical processes at the molecular level.
  5. Integration of Renewable Energy Sources:
    The integration of renewable energy systems within chemical processes, particularly in the context of hydrogen production and carbon capture, is becoming a prominent research area.
  6. Biotechnology and Synthetic Biology:
    Research at the intersection of chemical engineering and biotechnology, especially relating to the production of bio-based chemicals and materials, is on the rise.
  7. Nanotechnology in Chemical Engineering:
    The application of nanotechnology to enhance materials and processes, including catalysis and separation technologies, is increasingly prevalent.

Declining or Waning

As the field of chemical engineering evolves, certain research areas within the journal have shown a decline in publication frequency or relevance. These waning themes may reflect shifting priorities in research funding, industry needs, or advancements in technology that render previous approaches less critical.
  1. Traditional Separation Processes:
    There has been a noticeable decrease in research focused solely on conventional separation techniques such as distillation, as newer methods and technologies (e.g., membrane separations) gain prominence.
  2. Basic Chemical Reaction Kinetics:
    While foundational studies are still important, there is less emphasis on purely theoretical kinetic models without integration into broader process applications or innovative methodologies.
  3. Conventional Waste Treatment Methods:
    Research on traditional waste treatment processes is declining in favor of more sustainable and innovative approaches, such as bioremediation and advanced oxidation processes.
  4. Single-Use Technologies in Bioprocessing:
    The focus on single-use technologies in bioprocessing is waning as the industry shifts towards more sustainable and reusable options.
  5. Static Modeling Techniques:
    There is a trend away from static modeling approaches towards more dynamic and data-driven models that account for real-time process variations.

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