建立电动汽车充电统计模型及其在可持续城市充电枢纽性能评价中的应用

IF 2.2 4区工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of Building Performance Simulation Pub Date : 2023-09-22 DOI:10.1080/19401493.2023.2258843

N. J. Kelly, G. H. Flett, J. W. Hand

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引用次数: 0

摘要

提出了一种计算公共枢纽电动汽车动态充电负荷的统计模型，该模型可用于建筑仿真工具;它是由两个真实的数据集生成的，并忠实地再现了监测数据中看到的充电特征。该模型与建筑模拟工具一起使用，以评估带有电池缓冲的屋顶光伏发电减轻城市电动汽车充电对苏格兰格拉斯哥充电中心和停车场的影响的能力。停车场的200千瓦光伏阵列可以完全抵消大约50辆汽车的需求。增加一个小型缓冲电池(<100千瓦时)显著提高了可再生能源的利用率，减少了电网能源交换，但对缓解峰值需求收效甚微。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Developing a statistical electric vehicle charging model and its application in the performance assessment of a sustainable urban charging hub

A statistical model to calculate dynamic, electric vehicle (EV) charging loads at public hubs, which can be used with building simulation tools is presented; it was generated using two, real datasets and shown to faithfully recreate the characteristics of charging seen in the monitored data. The model was used with a building simulation tool to assess the ability of rooftop PV with battery buffering to mitigate the effects of urban EV charging for a charging hub and car park in Glasgow, Scotland. The car park’s 200 kW PV array could fully-offset the demand of a fleet of approximately 50 vehicles. The addition of a small buffering battery (<100 kWh) significantly increased utilization of renewable energy, and reduced grid energy exchanges, but did little to mitigate peak demands.

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来源期刊

Journal of Building Performance Simulation CONSTRUCTION & BUILDING TECHNOLOGY-

CiteScore

5.50

自引率

12.00%

发文量

审稿时长

12 months

期刊介绍： The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit. The journal also offers a forum for original review papers and researched case studies We welcome building performance simulation contributions that explore the following topics related to buildings and communities: -Theoretical aspects related to modelling and simulating the physical processes (thermal, air flow, moisture, lighting, acoustics). -Theoretical aspects related to modelling and simulating conventional and innovative energy conversion, storage, distribution, and control systems. -Theoretical aspects related to occupants, weather data, and other boundary conditions. -Methods and algorithms for optimizing the performance of buildings and communities and the systems which service them, including interaction with the electrical grid. -Uncertainty, sensitivity analysis, and calibration. -Methods and algorithms for validating models and for verifying solution methods and tools. -Development and validation of controls-oriented models that are appropriate for model predictive control and/or automated fault detection and diagnostics. -Techniques for educating and training tool users. -Software development techniques and interoperability issues with direct applicability to building performance simulation. -Case studies involving the application of building performance simulation for any stage of the design, construction, commissioning, operation, or management of buildings and the systems which service them are welcomed if they include validation or aspects that make a novel contribution to the knowledge base.