Dual-Objective Optimization of Maximum Rail Potential and Total Energy Consumption in Multitrain Subway Systems

Zhu, Chengqian; Du, Guifu; Jiang, Xingxing; Huang, Weiguo; Zhang, Dongliang; Fan, Mingdi; Zhu, Zhongkui

doi:10.1109/tte.2021.3062706

Cited by 12 publications

(3 citation statements)

References 25 publications

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“…It can be seen that to make the regional layout plan more suitable, feasible, and efficient, which is the basis for meeting the regional load demand, it is necessary to comprehensively consider the social development foundation, environmental conditions, system resource allocation, energy policy status, and physical properties of key equipment in the entire region. Characteristics know how to set the efficiency of the distribution area [26]. A decision-based and system-based RDES bilevel optimization is proposed, and a general RDES multiobjective optimization configuration model is constructed; the nondominated sorting genetic algorithm based on elite strategy (NSGA-II) is used to find the global optimal solution.…”

Section: Analysis Of Resultsmentioning

confidence: 99%

Energy Efficiency Improvement of Composite Energy Building Energy Supply System Based on Multiobjective Network Sensor Optimization

Huang

2022

Journal of Sensors

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In order to solve the problem of improving the energy efficiency of the energy supply system, the author proposes a method for improving the energy efficiency of the energy supply system of composite energy buildings based on multiobjective grid optimization, the method solves the energy efficiency improvement of the grid-optimized composite energy building energy supply system, with the increasing material needs of people, the traditional fossil energy consumption is increasing, and the environmental pollution problem is also becoming more and more serious, and people will face serious energy crisis. Due to the high proportion of coal in China’s energy, most thermal power plants use coal as fuel to generate electricity. In the process of coal combustion power generation, a large amount of air pollutants such as CO2, SO2, and Nox are produced, which destroys the ecological environment. In order to alleviate the energy crisis and reduce the emission of polluting gases, the development of renewable energy sources such as wind energy and solar energy is extremely important. Electricity supply and heat supply account for the main part of China’s energy consumption, 40% of China’s energy consumption is used for electricity supply, and 25% is used for heat supply. In terms of electricity supply, 12% of electricity is used for residential use, about 74% is used for industrial production, and 14% is used for commercial development.

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Section: Analysis Of Resultsmentioning

confidence: 99%

Energy Efficiency Improvement of Composite Energy Building Energy Supply System Based on Multiobjective Network Sensor Optimization

Huang

2022

Journal of Sensors

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“…This ratio is often 3:1, to allow for one battery to be on a truck, one battery to be charging at the station, and another to be charged and cooling at the station, ready for swapping into the truck. Cbatt in ( 9) is calculated as shown in (11), where Cbatt,$/kWh is the battery cost per kWh of energy storage capability, Ebatt,i is the size of the battery for truck type i in kWh, and Nbatt,i is the number of that type of battery required over the life of the mine. Nbatt,i includes consideration of future battery replacements due to batteries reaching the end of their useful life.…”

Section: B Calculationsmentioning

confidence: 99%

“…Since the concept of battery-powered electric mining fleets is just newly emerging, there is a lack of research and knowledge in this area, compared with the many decades of "best practices" available for diesel fleet planning. Previous research on the optimization of heavy-duty electric fleets has focused on other sectors such as the public bus system [10] and the electric rail system [11], but underground mining fleets have unique considerations. Furthermore, mine development is a very costly and long-term project, and optimization of the new electric truck paradigm is absolutely critical in the planning stages to extract the maximum benefit from this shift in technology.…”

Section: Introductionmentioning

confidence: 99%

An Optimization Algorithm for the Design of Battery Electric Fleets in Underground Mines

Meshginqalam,

Mobarak,

Dong

et al. 2024

IEEE Access

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Diesel-based vehicles are prevalent in underground mines all over the world; however, an electric revolution is beginning to unfold in the mining industry. Mines operating with diesel fleets require extensive ventilation due to toxic gas and heat emissions from diesel engines, and these ventilation costs increase as mines continue to dig deeper for depleting resources. Electric mining vehicles have zero emissions and emit less heat, meaning ventilation costs decrease. Furthermore, unlike diesel trucks, electric trucks can capture regenerative braking energy on downhill segments. Recent battery advancements have allowed electric mining trucks to become cost-competitive with their diesel counterparts when all system-level advantages are considered. However, there is presently a lack of knowledge in designing an optimal electric mining fleet and charging infrastructure, compared to the many decades of "best practices" available for diesel fleets. To fill this gap, this paper proposes an optimization algorithm for battery electric fleets in underground mines which provides insights into the design of electric fleets. This work identifies critical input design parameters, presents a battery optimization algorithm, and uses detailed vehicle models to simulate mining productivity and truck energy use. The main algorithm considers ventilation costs, charger infrastructure costs, fleet labor costs, truck energy costs, and truck capital costs (including battery lifetime) to obtain an overall cost-per-tonne output metric. The algorithm is tested on a variety of scenarios, and some key findings are that fast-charging with optimal battery sizes results in the lowest $/tonne and this result decreases as fast-charging levels increase to 450 kW.

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Traction power systems for electrified railways: evolution, state of the art, and future trends

Hu,

Liu,

et al. 2023

Rail. Eng. Science

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Traction power systems (TPSs) play a vital role in the operation of electrified railways. The transformation of conventional railway TPSs to novel structures is not only a trend to promote the development of electrified railways toward high-efficiency and resilience but also an inevitable requirement to achieve carbon neutrality target. On the basis of sorting out the power supply structures of conventional AC and DC modes, this paper first reviews the characteristics of the existing TPSs, such as weak power supply flexibility and low-energy efficiency. Furthermore, the power supply structures of various TPSs for future electrified railways are described in detail, which satisfy longer distance, low-carbon, high-efficiency, high-reliability and high-quality power supply requirements. Meanwhile, the application prospects of different traction modes are discussed from both technical and economic aspects. Eventually, this paper introduces the research progress of mixed-system electrified railways and traction power supply technologies without catenary system, speculates on the future development trends and challenges of TPSs and predicts that TPSs will be based on the continuous power supply mode, employing power electronic equipment and intelligent information technology to construct a railway comprehensive energy system with renewable energy.

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Dual-Objective Optimization of Maximum Rail Potential and Total Energy Consumption in Multitrain Subway Systems

Cited by 12 publications

References 25 publications

Energy Efficiency Improvement of Composite Energy Building Energy Supply System Based on Multiobjective Network Sensor Optimization

Energy Efficiency Improvement of Composite Energy Building Energy Supply System Based on Multiobjective Network Sensor Optimization

An Optimization Algorithm for the Design of Battery Electric Fleets in Underground Mines

Traction power systems for electrified railways: evolution, state of the art, and future trends

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