Optimal Siting and Sizing of Wayside Energy Storage Systems in a D.C. Railway Line

Lamedica, R.; Ruvio, Alessandro; Palagi, Laura; Mortelliti, Nicola

doi:10.3390/en13236271

Cited by 21 publications

(8 citation statements)

References 43 publications

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“…At the end of the two loops, power and energy evaluations are carried out. The speed profile is influenced by the route characteristics; therefore, aerodynamic, bending and slope resistances are calculated with the following equations [48]. The evaluation of EV performance on a route is conducted in two main loops.…”

Section: Dynamic and Cinematic Evs Simulationmentioning

confidence: 99%

Optimization of e-Mobility Service for Disabled People Using a Multistep Integrated Methodology

et al. 2022

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The penetration of e-mobility is growing thanks to the European guidelines on climate preservation regarding the reduction in CO2 emission. Governments are adapting their economic policies with the aim to incentivize e-mobility. At the same time, with a view to equality and accessibility, countries are working to introduce e-mobility services also for people with disabilities in order to improve the quality of their lives. The paper reports the deployment of an e-mobility service for persons with disabilities carried out in a project financed by Sapienza University of Rome. The project includes a feasibility study and a cost–benefit analysis in order to identify the optimal solution from a technical and environmental point of view for a sustainable e-mobility service for people with reduced mobility. A methodology to design a service based on optimal routes and electric vehicles with respect to energy consumption, time travel, energy and vehicle costs and quality of service is proposed. The 5-step methodology calculates the most energy-efficient routes and defines the optimal charging schedule, taking into account charging points dislocated along the routes and choosing vehicle typologies with the best performance based on economic evaluations. A software was developed to automatize the methodology.

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Section: Dynamic and Cinematic Evs Simulationmentioning

confidence: 99%

Optimization of e-Mobility Service for Disabled People Using a Multistep Integrated Methodology

et al. 2022

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“…Currently, the PSO algorithm is very popular; it is applied more frequently than the classical GA method. It is reported to solve multiple problems, e.g., parameter identification [26], optimal siting and sizing methodology to design an energy storage system [27], gas turbine modelling for fault detection [28], optimisation of control policy in MPC [22], optimisation of hybrid energy systems [24], optimisation of power dispatch problems [29].…”

Section: Particle Swarm Optimisation Algorithmmentioning

confidence: 99%

A New Solar Assisted Heat Pump System with Underground Energy Storage: Modelling and Optimisation

Ocłoń

Ławryńczuk

Czamara³

2021

Energies

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The objectives of this work are: (a) to present a new system for building heating which is based on underground energy storage, (b) to develop a mathematical model of the system, and (c) to optimise the energy performance of the system. The system includes Photovoltaic Thermal Hybrid Solar Panels (PVT) panels with cooling, an evacuated solar collector and a water-to-water heat pump. Additionally, storage tanks, placed underground, are used to store the waste heat from PVT panels cooling. The thermal energy produced by the solar collectors is used for both domestic hot water preparation and thermal energy storage. Both PVT panels and solar collectors are assembled with a sun-tracking system to achieve the highest possible solar energy gain. Optimisation of the proposed system is considered to achieve the highest Renewable Energy Sources (RES) share during the heating period. Because the resulting optimisation problem is nonlinear, the classical gradient-based optimisation algorithm gives solutions that are not satisfying. As alternatives, three heuristic global optimisation methods are considered: the Genetic Algorithm (GA), the Particle Swarm Optimisation (PSO) algorithm, and the Jaya algorithm. It is shown that the Jaya algorithm outperforms the GA and PSO methods. The most significant result is that 93% of thermal energy is covered by using the underground energy storage unit consisting of two tanks.

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“…Many microsimulation models, which are based on solving the equation of motion, focus on minimising the energy demands of a vehicle (among other works: [28][29][30][31][32][33][34]) or a small grid-mainly by using braking energy recovery and supplying it through the power system to the accelerating vehicle, or using an energy storage tank [35][36][37]. However, these models ignore issues related to the permissible load on the power supply network, focusing instead on its ability to accommodate the electricity returned by the train.…”

Section: Literature Reviewmentioning

confidence: 99%

The Problem of Train Scheduling in the Context of the Load on the Power Supply Infrastructure. A Case Study

Haładyn

2021

Energies

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This article deals with the new challenges facing modernising railways in Poland. We look at the problem of the efficiency of the power supply system (3 kV DC) used in the context of the increasing use of electric vehicles, which have a higher demand for electricity than the old type. We present and characterise the power supply system in use, pointing out its weaknesses. We consider a case study. The load of the power supply network generated by the rolling stock used in Poland was examined using a microsimulation. A real train timetable was taken into account on a fragment of one of the most important railway line sections in one of the urban agglomerations. Then the results were compared with the results of a microsimulation in which old units were replaced by new trains. These tests were carried out in several variants. We found critical points in the scheduling of railway system use. Our results indicate that it is becoming increasingly necessary to take into account the permissible load capacity of the supply network in certain traffic situations in the process of timetable construction.

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Optimal Siting and Sizing of Wayside Energy Storage Systems in a D.C. Railway Line

Cited by 21 publications

References 43 publications

Optimization of e-Mobility Service for Disabled People Using a Multistep Integrated Methodology

Optimization of e-Mobility Service for Disabled People Using a Multistep Integrated Methodology

A New Solar Assisted Heat Pump System with Underground Energy Storage: Modelling and Optimisation

The Problem of Train Scheduling in the Context of the Load on the Power Supply Infrastructure. A Case Study

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