Electric vehicle routing problem considering energy differences of charging stations

Fan, Lijun; Changshi, Liu; Dai, Bo; Li, Junyu; Zhang, Wu; Guo, Yuting

doi:10.1016/j.jclepro.2023.138184

Cited by 13 publications

(1 citation statement)

References 56 publications

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“…Selecting the right locations for electric truck charging stations can help to permanently reduce carbon emissions and promote the use of renewable energy generation (Phadke et al, 2019;Fan et al, 2023;Zhu et al, 2023;Rapson & Muehlegger, 2023). For example, locating the charging station close to a large logistics facility can both minimize the distance traveled to the charging station (reducing energy consumption) and could use the roof area for the installation of solar panels, thus increasing the use of renewable energy and reducing the environmental impact (Ali & Naushad, 2022; Barman et al, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing electric vehicles charging for enhancing environmental sustainability and reducing carbon emissions of freight transport: case of Czech Republic

Husinec,

Strielkowski,

Vacek

et al. 2024

Environmental Economics

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The limited infrastructure of charging stations, which is crucial in route planning and total journey time and creates uncertainty in efficiency and operating costs, calls for new economic and statistical methods in sustainability development and environmental economics. This paper aims to examine the challenges of integrating electric vehicles into freight transport to improve distribution logistics’ environmental sustainability, which represents one of the pathways for reducing environmental risk. The analysis results underscore the inadequacy of the truck charging station network in the Czech Republic. This insufficiency presents an opportunity to enhance environmental sustainability and reduce carbon emissions through strategic analysis and optimizing charging station locations. The difficulty of identifying optimal locations for these stations, given truck availability, requires using multi-criteria decision-making techniques such as the Analytical Network Process (ANP). Municipalities with limited access to existing logistics facilities were considered during the simulation. This way, 15 new locations were identified for municipalities with insufficient distance to a charging station.By implementing the ANP method, the study contributes to a more environmentally sustainable transportation infrastructure, highlighting the potential for significant reductions in carbon emissions through improved charging station networks. These results apply to other countries and can provide novel insights on optimizing charging station locations for sustainable economic development and reducing freight transport’s carbon emissions and environmental risks.

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Section: Literature Reviewmentioning

confidence: 99%

Optimizing electric vehicles charging for enhancing environmental sustainability and reducing carbon emissions of freight transport: case of Czech Republic

Husinec,

Strielkowski,

Vacek

et al. 2024

Environmental Economics

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Energy storage optimal configuration in new energy stations considering battery life cycle

Tian,

Liu,

Zhang

et al. 2024

Electr Eng

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In order to analyze the energy storage benefits and their impact on new energy stations throughout their entire life cycle, a new energy station energy storage optimization method considering the power supply life cycle is proposed. Firstly, based on the operational characteristics of energy storage in new energy stations, a revenue model and a cost model are established for the energy storage system; Secondly, by taking the constraints of each energy output in the new energy station into account, with the goal of maximizing investment return, an objective function is established by considering the entire life cycle of the battery, and the improved Grey wolf optimization algorithm is used to solve the objective function; Finally, the configuration of 10MW/20MWh energy storage is used as an example to verify the proposed method. The results show that the optimized new energy station has significantly improved the phenomenon of wind and light abandonment, and the net income of energy storage has been increased.

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Standardized validation of vehicle routing algorithms

Jastrzab,

Myller,

Tulczyjew

et al. 2024

Appl Intell

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Designing routing schedules is a pivotal aspect of smart delivery systems. Therefore, the field has been blooming for decades, and numerous algorithms for this task have been proposed for various formulations of rich vehicle routing problems. There is, however, an important gap in the state of the art that concerns the lack of an established and widely-adopted approach toward thorough verification and validation of such algorithms in practical scenarios. We tackle this issue and propose a comprehensive validation approach that can shed more light on functional and non-functional abilities of the solvers. Additionally, we propose novel similarity metrics to measure the distance between the routing schedules that can be used in verifying the convergence abilities of randomized techniques. To reflect practical aspects of intelligent transportation systems, we introduce an algorithm for elaborating solvable benchmark instances for any vehicle routing formulation, alongside the set of quality metrics that help quantify the real-life characteristics of the delivery systems, such as their profitability. The experiments prove the flexibility of our approach through utilizing it to the NP-hard pickup and delivery problem with time windows, and present the qualitative, quantitative, and statistical analysis scenarios which help understand the capabilities of the investigated techniques. We believe that our efforts will be a step toward the more critical and consistent evaluation of emerging vehicle routing (and other) solvers, and will allow the community to easier confront them, thus ultimately focus on the most promising research avenues that are determined in the quantifiable and traceable manner.

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Electric vehicle routing problem considering energy differences of charging stations

Cited by 13 publications

References 56 publications

Optimizing electric vehicles charging for enhancing environmental sustainability and reducing carbon emissions of freight transport: case of Czech Republic

Optimizing electric vehicles charging for enhancing environmental sustainability and reducing carbon emissions of freight transport: case of Czech Republic

Energy storage optimal configuration in new energy stations considering battery life cycle

Standardized validation of vehicle routing algorithms

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