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Article
Green & Sustainable Science & Technology
Anton Petrochenkov et al.
Summary: The problem of electric energy quality in the utilization of petroleum gas is considered in this article. The development of a mathematical description of power supply systems with gas turbine power stations based on two-shaft gas turbine units is presented. A joint analysis of the generation modes of the gas turbine power station and the detected deviations of the power quality indicators values was conducted to determine the influence of the used mode on the power quality indicators, leading to the identification of factors affecting power quality and recommendations for their elimination.
Article
Green & Sustainable Science & Technology
Mahmoud Ibrahim et al.
Summary: This paper provides an overview of the implementation of Digital Twin technology in electric vehicle propulsion drive systems. It reviews the technology and compares different simulation technologies, with a particular focus on the adaptation of Digital Twin technology for EV propulsion drive systems.
Article
Green & Sustainable Science & Technology
Noman Shabbir et al.
Summary: This study aims to provide input for the optimization design and management of PV and BESS systems for residential users with electric vehicles. Using measurement-based data from a rural low-voltage distribution network, the study investigates the capacity and use cases of BESS under different household and PV-EV penetration levels, and performs an economic analysis.
Review
Green & Sustainable Science & Technology
Hamidreza Heidari et al.
Summary: Recent studies have shown that synchronous reluctance motors (SynRMs) are promising technologies, leading to expanded research on SynRM drive systems. This work discusses the developments in design, modeling, and control of SynRMs, comparing them with dominant motor technologies and analyzing different control strategies for various speed regions.
Article
Green & Sustainable Science & Technology
Yuriy Leonidovich Zhukovskiy et al.
Summary: There is a growing trend in the use of demand response technology in the Russian Federation and other developing countries, not only in large industries but also in individual households and organizations. By applying demand management technology based on modeling and predicting consumer behavior, it is possible to reduce peak loads of electricity consumption and increase energy efficient use of equipment in the power system. The study explores the feasibility of participating in the concept of demand management for educational institutions with a typical workload schedule, using various statistical data and research methods.
Article
Green & Sustainable Science & Technology
Gaurav Garg et al.
Summary: A Digital Twin is a concept of creating a digital replica of physical models that can assist in the online/remote programming of robotic cells by simulating real-world configurations. The model consists of a physical component (FANUC robot) and a digital component (Unity gaming platform with specialized plugins), simplifying the process of writing and modifying robot trajectories. Through simulation analysis, it was found that the developed Digital Twin model is suitable for industrial applications with minimal latency and error ranges.
Article
Green & Sustainable Science & Technology
Muhammad Naveed Iqbal et al.
Summary: The penetration of electric vehicles in low voltage residential grids is expected to increase rapidly in the coming years, with consumers preferring overnight home charging. The use of EV battery chargers as nonlinear loads may increase current harmonic emission in the distribution network, requiring upgrades or management of the existing power system. This paper provides estimates of current harmonic emission from EV charging loads under different voltage distortions and discusses the impact of EV charging on distribution transformers.
Article
Green & Sustainable Science & Technology
Anton Petrochenkov et al.
Summary: The study aims to analyze the prospects for gas turbine loading methods, comparing common methods and suggesting the use of a specific loading model and automation system. Mathematical and simulation models have been developed and tested to enhance the effectiveness of loading parameters in gas turbines.
Article
Energy & Fuels
Anton Dianov et al.
