内蒙古建筑职业技术学院, 建筑设备与自动化学院, 内蒙古呼和浩特 010020
| 摘 要: | 为降低石油消耗、减少环境污染、推进碳中和目标的实现,新能源汽车产业替代燃油汽车产业已是大势所趋。然而,公共充电基础设施的覆盖问题已成为阻碍新能源汽车产业发展的瓶颈之一。在公共充电基础设施相关领域引用PPP模式,借助投资企业充盈的资金和先进的管理能力推动充电站的建设、提升配套服务的品质不失为解决充电设施短缺问题的一种有效方式。充电服务价格是维持PPP项目中政府、企业和用户等各方干系人利益的焦点。本文运用系统动力学方法梳理新能源汽车充电服务价格及投资方收益的主要影响因素,根据各因素之间的反馈关系构建新能源汽车充电设施PPP项目价格调控模型,以充电量的影响因素为切入点,借助实际案例运用Vensim软件对所构建的价格调控模型进行仿真模拟。模拟结果可以预测在大众用户消费能力内,同时既可以达到政府管控政策,又满足投资方收益率的电动汽车充电服务价格区间。该模型还能预判PPP项目实施过程中投资收益率超标临界点,为政府部门对充电价格调控提供科学合理的参考依据。 |
| 关 键 词: | 新能源汽车充电设施; PPP项目; 价格调控; 系统动力学 |
| DOI: | 10.57237/j.wjmst.2023.04.001 |
School of Building Equipment and Automation, Inner Mongolia Technical College of Construction, Hohhot 010020, China
| Abstract: | In order to reduce oil consumption, reduce environmental pollution, and promote the achievement of carbon neutrality goals, it is an inevitable trend for the new energy vehicle industry to replace the fuel vehicle industry. However, the coverage of public charging infrastructure has become one of the bottlenecks hindering the development of the new energy vehicle industry. Introducing the PPP model in the field of public charging infrastructure, leveraging the abundant funds and advanced management capabilities of investment enterprises to promote the construction of charging stations and improve the quality of supporting services, is an effective way to solve the problem of charging facility shortage. The pricing of charging services is the focus of maintaining the interests of stakeholders such as government, enterprises, and users in PPP projects. This article uses the method of system dynamics to sort out the main influencing factors of the price of new energy vehicle charging services and the returns of investors. Based on the feedback relationship between various factors, a new energy vehicle charging facility PPP project price regulation model is constructed. Starting from the influencing factors of charging volume, the actual case is used to simulate the constructed price regulation model using Vensim software. The simulation results can predict the price range of electric vehicle charging services within the consumption capacity of mass users, while meeting government control policies and investor returns. This model can also predict the critical point at which the investment return rate exceeds the standard during the implementation of PPP projects, providing a scientific and reasonable reference basis for government departments to regulate charging prices. |
| Keywords: | New Energy Vehicle Charging Facilities; PPP Project; Price Regulation; System Dynamics |
| 1. | 内蒙古自治区直属高校基本科研项目《“双碳”背景下内蒙古绿色低碳建筑技术经济适用性研究》 (NZJK202214) |
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