Journal of Energy and Power Technology (JEPT) is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. This periodical is dedicated to providing a unique, peer-reviewed, multi-disciplinary platform for researchers, scientists and engineers in academia, research institutions, government agencies and industry. The journal is also of interest to technology developers, planners, policy makers and technical, economic and policy advisers to present their research results and findings.

Journal of Energy and Power Technology focuses on all aspects of energy and power. It publishes original research and review articles and also publishes Survey, Comments, Perspectives, Reviews, News & Views, Tutorial and Discussion Papers from experts in these fields to promote intuitive understanding of the state-of-the-art and technology trends. 

Main research areas include (but are not limited to):
Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass) and grid connection impact
Energy harvesting devices
Energy storage
Hybrid/combined/integrated energy systems for multi-generation
Hydrogen energy 
Fuel cells
Nuclear energy
Energy economics and finance
Energy policy
Energy and environment
Energy conversion, conservation and management
Smart energy system

Power Generation - Conventional and Renewable
Power System Management
Power Transmission and Distribution
Smart Grid Technologies
Micro- and nano-energy systems and technologies
Power electronic
Biofuels and alternatives
High voltage and pulse power
Organic and inorganic photovoltaics
Batteries and supercapacitors

Archiving: full-text archived in CLOCKSS.

Rapid publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 4.3 weeks after submission; acceptance to publication is undertaken in 6 days (median values for papers published in this journal in the first half of 2020, 1-2 days of FREE language polishing time is also included in this period).

Current Issue: 2021  Archive: 2020 2019

Special Issue

Energy Efficiency in Flexible and Reconfigurable Manufacturing: Emerging Trends, Models and Applications in the Industry 4.0 Era

Submission Deadline: May 15, 2021 (Open) Submit Now

Guest Editor

Marco Bortolini, PhD

Senior Assistant Professor, Department of Industrial Engineering, Alma Mater Studiorum - Bologna University, Italy

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Research Interests: energy efficiency, advanced production system, Industry 4.0, multi-attribute model, renewable energy for industry, sustainability

Co-Editor

Francesco Gabriele Galizia, PhD

Post-Doctoral Research Fellow, Department of Industrial Engineering, Alma Mater Studiorum - Bologna University, Italy

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Research Interests: reconfigurable manufacturing system, collaborative assembly, optimization in production, Industry 4.0, smart manufacturing

Submission

Manuscripts should be submitted online at http://www.lidsen.com/account-login 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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a peer-review process. Guidelines for authors and other relevant information for submission of manuscripts are available on the Instructions for Authors page. Journal of Energy and Power Technology is an international peer-reviewed Open Access monthly journal published by LIDSEN. Please visit the Instructions for Authors page before submitting a manuscript.

Introduction

Industry 4.0 is the present of production. Starting from a theoretical concept to draw the future of industry, Industry 4.0 is, now, much more than a vision. This term comes from a project in the high-tech strategy of the German government in 2011 for promoting the computerization of manufacturing and, in the last few years, the Industry 4.0 emerged as the fourth industrial revolution. In this new era, digital manufacturing plays a crucial role and digital manufacturing technologies are key enabling technologies for the future manufacturing.

Nine enabling technologies, characterizing the upcoming industrial revolution, support the transition to the industrial practice:

  • Advanced Manufacturing Solutions
  • Additive Manufacturing
  • Augmented Reality
  • Simulation
  • Horizontal and Vertical Integration
  • Industrial Internet
  • Cloud
  • Cyber-Security
  • Big Data and Analytics

Each of these technologies and, much more, the synergic coordination of these, allow disruptive changes and upgrades to almost all the industrial and advanced tertiary sectors with performance improvement, waste reduction, cost and time savings, etc. At the same time, all these technologies are fueled by energy, representing the power for their use.

Within this scenario, this Special Issue aims at investigating the synergies and conflicts between Industry 4.0 techs applied to flexible production and energy efficiency, introducing the energy saving dimension together with other, almost highly discussed, metrics, such as quality, cost and productivity.

Scientists and Experts from academy and industry are highly welcomed to contribute with methods, reviews and case histories from the field presenting innovative research and experiences.  

Relevant topics include, but are not limited to:

  1. Energy assessment in advanced manufacturing;
  2. Business strategies and operation models to spread energy efficiency in manufacturing, assembly and the auxiliary production services;
  3. Model and reviews of the energy dimension in modern production;
  4. Reviews of application of Industry 4.0 technologies to industrial sectors and districts;
  5. Human-Automation interaction in production systems with energy metrics;
  6. Design and management of Smart and Learning Factories to improve lean and green performances;
  7. Machine learning and artificial intelligence techniques for manufacturing and energy efficiency.

Keywords

industry 4.0; flexible production; energy efficiency; advanced production; flexible assembly; reconfigurable manufacturing; sustainability; enabling technology; case histories; models, strategies and reviews.

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