Optimization of Energy Efficiency in Smart Manufacturing Through the Application of Cyber–Physical Systems and Industry 4.0 Technologies

Abstract

Sustainability is a topic that has been addressed and enhanced with significant improve opportunities by the fourth industrial revolution, which is an essential strategy in the medium- and long-term for industries to adapt to an urgent necessity from society: for competitive and sustainable manufacturing of goods. In that regard, energy efficiency is one of the key aspects for industries that want to achieve a sustainable and carbon neutral production process. This paper approaches how the application of technologies and methodologies can substantially improve processes overall efficiency in terms of energy consumption. The paper is divided in a three-step research, starting with: a systematic review to identify how smart manufacturing and cyber-physical systems are leveraging results in manufacturing energy efficiency; followed by experiments to make real time monitoring and simulation of industrial energy consumption to optimize processes and reduce energy waste and as a third and final step results are discussed showing gains in production planning and potential saving opportunities in manufacturing energy consumption and costs.

Energy saving and energy efficiency improvement in the Russian Federation

“…The energy saving potential in the Russian Federation is one third of the current volume of energy consumption [25]. Over the past ten years, the level of energy intensity has decreased by 9.7% due to the improved energy efficiency of energy-consuming equipment and the implementation of production capacities [17]. Energy intensity levels of Russian industrial enterprises are 1.2-2 times lower than the world average, indicating ample opportunities to increase energy in many industries [26].…”

Multi-perspective Data Modelling in Cyber Physical Production Networks: Data, Services and Actors

“…Design strategies of the services in the portfolio should take into account several challenges, such as modularity, platform independence and reuse, that are very common in service-oriented applications but have not been properly addressed in existing approaches providing advanced Industry 4.0 solutions. Moreover, existing solutions are focused on specific needs in the production network, such as energy efficiency [12], anomaly detection [13] and predictive maintenance [14] on work centers, production scheduling [15] and process monitoring [16], without considering a holistic view that includes multiple aspects together. In this context, the following challenges can be identified.…”

“…The adoption of SOA in Industry 4.0 promotes modular architectural design, where loosely coupled and reusable modules, implementing one or few distinct functions, are connected through a simple interface [38]. Design strategies of the services in the portfolio should take into account several challenges, that are very common in service-oriented applications, but have not been properly addressed in existing approaches providing advanced Industry 4.0 solutions, where the focus is on specific needs in the production network (e.g., energy efficiency [12], anomaly detection [13] and predictive maintenance [14] on work centers, production scheduling [15] and process monitoring [16]).…”

Sustainable and Environmental Development of Energy Economy in Smart Regions of Russia

“…The research in this paper is based on the Theory of sustainable and environmental ("green") development of the energy economy, which foundations are set in the works of Ajiboye et al (2022), Ali et al (2022), Mahmoud et al (2022), Matsunaga et al (2022), Qu et al (2022) and Sharma et al (2022). In the existing literature, the issues of sustainable and environmental development of the energy economy based on smart technologies are thoroughly elaborated.…”