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Techno-Economic Analysis of Solar Hybrid Vehicles Part 2: Comparative Analysis of Economic, Environmental, and Usability Benefits

机译:太阳能混合动力车辆的技术经济分析第2部分:经济,环境和可用性效益的比较分析

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Introducing effective technologies to reduce carbon emissions in the transport sector is a critical issue for automotive manufacturers to contribute to sustainable development. Unlike the plug-in electric vehicles (PEVs), whose effectiveness is dependent on the carbon intensity of grid electricity, the solar hybrid vehicle (SHV) can be an alternative electric vehicle because of its off-grid, zero-emission electric technology. Its usability is also advantageous because it does not require manual charging by the users. This study aims at evaluating the economic, environmental, and usability benefits of SHV by comparing it with other types of vehicles including PEVs. By setting cost and energy efficiency on the basis of the assumed technology level in 2030, annual cost and annual CO_2 emissions of each vehicle are calculated using the daily mileage pattern obtained from a user survey of 5,000 people in Japan and the daily radiation data for each corresponding user. We develop a linear programming model to determine the optimal vehicle mix for these users that minimizes the total cost or total CO_2 emissions. Incorporating carbon cost and usability cost, which represent the inconvenience of frequent charging for users in the model, we also investigate the balanced solutions between economic, environmental, and usability benefits. The results show SHV as one of the most cost-effective vehicles for CO_2 reduction after the plug-in hybrid vehicle with small battery for a wide range of users. Sensitivity analysis on the initial settings shows the importance of technological development in achieving the target.
机译:引入减少运输部门碳排放的有效技术是汽车制造商对可持续发展促进发展的关键问题。与插入式电动车(PEV)不同,其有效性取决于电网电力的碳强度,太阳能混合动力车辆(SHV)可以是替代电动车辆,因为其偏离电网零排放电气技术。其可用性也是有利的,因为它不需要用户手动充电。本研究旨在通过将其与包括PEV的其他类型的车辆进行比较来评估SHV的经济,环境和可用性益处。通过在2030年的假设技术水平的基础上设定成本和能源效率,每辆车的年费和每年的CO_2排放量通过从日本5,000人的用户调查和每个人的每日辐射数据获得的日常里程模式计算对应的用户。我们开发了一个线性编程模型,以确定这些用户的最佳车辆组合,以最大限度地减少总成本或总CO_2排放。纳入碳成本和可用性成本,这代表了模型中频繁收费的不便,我们还研究了经济,环境和可用性效益之间的平衡解决方案。结果显示SHV作为CO_2在具有小电池的电池中的CO_2减少的最具成本效益的车辆之一,用于各种用户。初始设置的敏感性分析显示了技术开发在实现目标方面的重要性。

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