Introduction of Energy Storage Facilities as an Element of Industry 4.0 of the Energy Sector of Ukraine

Sakun, Lesia; Viedienina, Yulia; Khomenko, Mykola; Rieznik, Dmytro

doi:10.1109/mees58014.2022.10005630

Cited by 3 publications

(2 citation statements)

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“…For the strict integration of humans in the manufacturing process to show continuous improvement, focusing on value-adding activities and avoiding waste are the main concerns of Industry 4.0 [50]. Paper [51] examines theoretical, methodological, and analytical approaches for the effective implementation of energy storage systems in the energy sector of Ukraine as a feature of Industry 4.0. It was shown that integrating ESS into the modern technologies of Ukraine would bring territorial circulation of energy resources; the deployment of energy legislation; the dynamic use of digital tools based on the Industry 4.0 system; and the lessening of energy use, minimizing costs and maximizing savings.…”

Section: Geopolitics-emsmentioning

confidence: 99%

“…It was shown that integrating ESS into the modern technologies of Ukraine would bring territorial circulation of energy resources; the deployment of energy legislation; the dynamic use of digital tools based on the Industry 4.0 system; and the lessening of energy use, minimizing costs and maximizing savings. ESS as an element of Industry 4.0 for Ukraine's energy sector will meaningfully enhance people's lives and improve the country's energy sector, establish new companies, and bring light to new technologies in the energy sector [51].…”

Section: Geopolitics-emsmentioning

confidence: 99%

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Analysis of Model Predictive Control-Based Energy Management System Performance to Enhance Energy Transmission

Chowdhury,

Yusoff,

Gunawan

et al. 2024

Energies

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A supervisory control system using Model Predictive Control (MPC) has been designed to evaluate the efficiency of wind and solar power and is consistent with the cost function in the supervisory MPC optimization problem. A two-layer Economic Model Predictive Control (EMPC) framework has been developed and has improved results such as cost reductions compared to recent advanced methods. A speed Generalized Predictive Control (GPC) scheme intended for wind energy conversion systems was developed last year, with simulation results indicating superior performance over previous models. A Hierarchical Distributed Model Predictive Control (HDMPC) can work under different weather conditions with improved economic performance and keep a good balance between power delivery and load demand. An energy management system (EMS), built on the basis of MPC, can be quite lucrative for the sphere in the present climate scenario, with the selection and testing of suitable algorithms, controlled processes, cost functions, and a set of constraints as well as with proper optimizations carried out. Previous research indicates that an MPC-based EMS has the potential to be a good solution to manage energy well and also introduced it to the world experimentally. The key intention of this research study is to explore the existing advances that have been introduced and to analyze their performance in terms of cost function, different sets of constraints, variant conversion processes, and scalability to achieve more optimized operation of MPC-based EMS.

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Section: Geopolitics-emsmentioning

confidence: 99%

Section: Geopolitics-emsmentioning

confidence: 99%