Sustainable life cycle and energy management of discrete manufacturing plants in the industry 4.0 framework

Global Monitoring of the Development of Digital Energetics Based on the Technologies of Industry 4.0: IoT, Blockchain, Robots, and Artificial Intelligence

“…The article contributed to the development of the theory of digital energetics by clarifying the relationship between digitalization and energy sustainability. In contrast to Amir et al (2022), Chen et al (2022), Favi et al (2022), and Vlasov et al (2019, the use of advanced Industry 4.0 technologies in the energy economy provides advantages only in the production (but not in distribution) processes. The argumentation of this conclusion is based on the fact that the relationship of energy sustainability with the readiness for Frontier Technologies Index and with the government AI Readiness Index among countries of different categories is much stronger in the top countries by GDP per unit of energy use compared to other categories of countries.…”

“…In the works of Amir et al (2022), Chen et al (2022), Favi et al (2022), and Vlasov et al (2019, the use of advanced Industry 4.0 technologies in the energy economy provides advantages in both production and distribution processes. Maggiore et al (2021), Morelli et al (2022), Wachnik et al (2022), andZaidan et al (2022) indicated that, in order to fully take benefit of the advanced technologies of Industry 4.0 in the energy economy, it is advisable to actively use them by representatives of all interested parties: energy companies, state regulators of the energy economy, and energy consumers.…”

Challenges and prospects of decarbonization of the economy in the age of AI

“…The first gap is the contradiction of decarbonization as a catalyst for sustainable development while also an obstacle to economic growth. The second gap is that while the existing literature by Favi et al (2022), Mastrocinque et al (2022), Matsunaga et al (2022), Morelli et al (2022), Vitiello et al (2022), Wachnik et al (2022) points out the special context of energy development that has formed at present in the context of the AI economy, this context has been left out of consideration in decarbonization planning.…”

Modeling Energy Consumption in the Production Processes of Industrial Units Based on Load Response Programs in the Energy Market

“…A multiscale simulation model is presented in [24] to operate and control the integrated energy systems (IESs) in the market by integrating the process-and grid-centric modeling paradigms. A new business approach for low carbon energy transition is presented in [25], by considering the private customers and capturing the market. A novel model for industrial metabolism from the generation concept is presented in [26] with the combination of the Multi-Criteria Decision Making (MCDM) approach for assisting companies in optimizing their creativecreation approach towards decreasing energy/material flows.…”