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The Market for Electric Vehicles in New Zealand: Using stated choice methods to evaluate the implications for electricity demand and carbon emissions to 2030

机译:新西兰的电动汽车市场:使用既定的选择方法评估到2030年对电力需求和碳排放的影响

摘要

Anthropogenic global climate change caused by the emissions of greenhouse gases (GHGs) from the combustion of fossil fuels is one of the greatest environmental threats faced by society. Electric vehicles (EVs), which use lithium-ion battery technology, have been proposed as a means of reducing GHG emissions produced by light passenger vehicles (LPVs). The ability of this vehicle technology to assist in reducing GHG emissions will depend on the market uptake and the effect that a growing EV fleet has on the GHG emissions produced by the electricity sector. This thesis is the first use of stated choice methods in New Zealand to develop a vehicle demand model that takes detailed account of car buyers’ preferences for EV purchase price, driving range, performance, fuel and battery costs, and charging network availability.A nationwide stated choice survey of New Zealand car buyers was undertaken in 2010 (n=281). The data from the survey was used to estimate a mixed multinomial logit discrete choice model, which was linked to a vehicle stock model of the New Zealand LPV fleet developed for this research. These two models were then used to simulate the New Zealand vehicle stock and energy demand, and the LPV fleet’s GHG emissions over a twenty year period.The Electricity Commission’s mixed integer programming ‘generation expansion model’ (GEM) was used to take account of the additional GHG emissions produced by the electricity sector in response to meeting the electricity demand estimates from the vehicle stock model.The results of this study indicate that, assuming the current state of EV technology and only modest reductions in EV prices over the modelling period, there would be sufficient demand for EVs to reduce, by 2030, the annual GHG emissions produced by the LPV fleet to approximately 80% of levels emitted in 2010. Changes in technology or vehicle design that reduce the cost of batteries and the purchase price of EVs would have the greatest impact in increasing the demand for these vehicles, and would further reduce the GHG emissions produced by the LPV fleet.The electricity sector modelling indicates that less than 730 MW of additional generation capacity will be required to be built if network operators can prevent EVs from charging during periods of peak demand, but without this capability, up to 4,400 MW of additional generation capacity could be required. The modelling also indicates that a policy environment where the use of coal-fuelled electricity generation is permitted and the price of carbon limited to $25 per tonne, the increased electricity sector GHG emissions that would result offset 88% of the cumulative GHG emission reductions achieved by the introduction of EVs into the LPV fleet. A policy raising the price of carbon to $100 per tonne would reduce the offsetting effect to 30%.EVs are an emerging technology with considerable potential for further development. The results of this study indicate that even at current prices and levels of technological performance, EVs have the capacity to make a significant contribution to New Zealand’s efforts to reduce GHG emissions. However, the ability to realise this potential is dependent on vehicle manufacturers’ willingness to produce EVs in sufficient quantities and models so that they can fully compete in the market with internal combustion engine vehicles; and on policies that discourage the future use of coal-fuelled electricity generation.
机译:由化石燃料燃烧产生的温室气体排放引起的人为全球气候变化是社会面临的最大环境威胁之一。提出了使用锂离子电池技术的电动汽车(EV),以减少轻型乘用车(LPV)产生的温室气体排放。这种车辆技术帮助减少温室气体排放的能力将取决于市场的接受程度以及不断增长的电动车队对电力部门产生的温室气体排放的影响。本文是新西兰首次采用既定选择方法开发车辆需求模型,该模型详细考虑了购车者对EV购买价格,行驶里程,性能,燃料和电池成本以及充电网络可用性的偏好。 2010年对新西兰购车者进行了选择陈述调查(n = 281)。来自调查的数据用于估计混合多项式logit离散选择模型,该模型与为该研究开发的新西兰LPV车队的车辆库存模型相关联。然后使用这两个模型来模拟新西兰的车辆库存和能源需求,以及LPV车队在20年内的温室气体排放量。电力委员会的混合整数编程``发电扩展模型''(GEM)被用于考虑电力部门为满足汽车存量模型中的电力需求估算而产生的额外温室气体排放量。本研究的结果表明,假设电动汽车技术的当前状态并且在建模期间仅适度降低电动汽车价格,到2030年,电动汽车的需求将足以将LPV车队产生的年温室气体排放量减少到2010年排放水平的约80%。技术或车辆设计的变化将降低电池成本和电动汽车的购买价格对增加这些车辆的需求产生最大的影响,并将进一步减少LPV车队产生的温室气体排放。 Tor模型表明,如果网络运营商可以在需求高峰时阻止电动汽车充电,那么将需要建设不到730兆瓦的额外发电能力,但是如果没有此能力,则可能需要多达4,400 MW的额外发电能力。该模型还表明,在政策环境中,允许使用燃煤发电,且碳价限制在每吨25美元,电力部门增加的温室气体排放量将抵消通过以下方式实现的88%的累计温室气体减排量:在LPV车队中引入电动汽车。将碳价提高到每吨100美元的政策会将抵消效应降低到30%.EV是一种新兴技术,具有进一步发展的潜力。这项研究的结果表明,即使以当前的价格和技术性能水平,电动汽车也有能力为新西兰减少温室气体排放的努力做出重大贡献。但是,能否实现这一潜力取决于汽车制造商是否愿意生产足够数量和型号的电动汽车,以便他们能够与内燃机汽车在市场上完全竞争。以及不鼓励未来使用燃煤发电的政策。

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    Clover Douglas George;

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  • 年度 2013
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  • 正文语种 en_NZ
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