Economic and ecological optimization of electric bus charging considering variable electricity prices and CO2eq intensities

In many cities, diesel buses are being replaced by electric buses with the aim of reducing local emissions and thus improving air quality. The protection of the environment and the health of the population is the highest priority of our society. For the transport companies that operate these buses, not only ecological issues but also economic issues are of great importance. Due to the high purchase costs of electric buses compared to conventional buses, operators are forced to use electric vehicles in a targeted manner in order to ensure amortization over the service life of the vehicles. A compromise between ecology and economy must be found in order to both protect the environment and ensure economical operation of the buses.In this study, we present a new methodology for optimizing the vehicles’ charging time as a function of the parameters CO_2eq emissions and electricity costs. Based on recorded driving profiles in daily bus operation, the energy demands of conventional and electric buses are calculated for the passenger transportation in the city of Aachen in 2017. Different charging scenarios are defined to analyze the influence of the temporal variability of CO_2eq intensity and electricity price on the environmental impact and economy of the bus. For every individual day of a year, charging periods with the lowest and highest costs and emissions are identified and recommendations for daily bus operation are made. To enable both the ecological and economical operation of the bus, the parameters of electricity price and CO₂ are weighted differently, and several charging periods are proposed, taking into account the priorities previously set. A sensitivity analysis is carried out to evaluate the influence of selected parameters and to derive recommendations for improving the ecological and economic balance of the battery-powered electric vehicle.In all scenarios, the optimization of the charging period results in energy cost savings of a maximum of 13.6% compared to charging at a fixed electricity price. The savings potential of CO_2eq emissions is similar, at 14.9%. From an economic point of view, charging between 2 a.m. and 4 a.m. results in the lowest energy costs on average. The CO_2eq intensity is also low in this period, but midday charging leads to the largest savings in CO_2eq emissions. From a life cycle perspective, the electric bus is not economically competitive with the conventional bus. However, from an ecological point of view, the electric bus saves on average 37.5% CO_2eq emissions over its service life compared to the diesel bus. The reduction potential is maximized if the electric vehicle exclusively consumes electricity from solar and wind power.     

考虑高铁客运产品间交叉弹性的动态票价策略

将由特定高铁列车所提供的起讫点间的旅客运输服务定义为单个高铁客运产品。随着高速铁路越来越"公交化",同一起讫点间客运产品间的可替代性越来越强,票价的调整有了更精细化的要求。用经济学中的交叉弹性理论描述客运产品间的可替代程度,用指数需求函数描述客运产品的需求与票价的关系,构建并求解高铁动态票价优化模型,对客运产品间不同可替代程度下的最优动态票价策略进行研究。结果显示:高铁客运产品间的可替代性会影响票价策略的选择,且客运产品间可替代程度的增加是否有利于客票收益的提高与可行折扣票价集合的选取有关。     

多模式交通环境下上海居民职住选择行为

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从大莱龙铁路投标谈如何提高报价内涵质量

通过复核工程数量、合理计算运杂费和灵活编制补充单价,以及在认真检查计算过程中存在的问题等方面,简述提高报价内涵质量.     

惠州港在珠江三角洲战略定位的思考

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创新——企业发展的推动力

介绍了上海外高桥造船有限公司面对严峻的国际造船形势，以创新思路，为其现代化的大型船舶总装厂构筑起独特的企业文化和先进的企业生产管理系统，使企业昂首阔步地参与国际造船业的激烈竞争。     

城市轨道交通对周边物业影响分析

以深圳市为实例，利用历年房地产交易资料，阐述了深圳城市轨道交通客流预测模型构架，得出各项特征因素值.建立了深圳地铁一期沿线物业的特征价格模型，分析出城市轨道交通建设期对周边不同物业的影响程度，揭示了城市轨道交通促进周边土地升值的空间变化规律.对照香港的成功发展经验，提出了站点周边土地的综合发展策略，为土地利用规划、轨道交通线网规划、站点周边土地地价测算和开发形式提供依据.     

地铁商业物业租赁定价实证研究

结合地铁商业物业租赁的行业背景,对影响地铁沿线商铺定价的客观因素进行分析,并以武汉市的样本为例进行实证分析,建立地铁沿线商铺定价的特征价格模型。在此价格模型基础上,根据地铁商业物业自身特点进行整租模式、终端商铺模式等因素修正,最终构建地铁公司的商业物业租赁定价模型。该模型通过结合特征价格模型和修正因子,在一定程度上克服了传统市场化定价方法的主观性,有利于完善传统商业地产的租赁定价模式,为地铁物业的商业租赁定价提供参考。     

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工程量清单计价模式下,建筑市场的公开竞争促使施工企业科学地运用决策分析以获取项目。清单招标一般都采用单价合同,投标人要承担组价的全部风险,而出于种种原因,综合单价中的风险费用一直未得到投标人的充分重视。此文在深入理解综合单价的基础上,系统地分析了报价风险,以此为基础构建风险分析和评估数学模型;再以随机抽样为主要手段,运用蒙特卡罗模拟技术对模型进行风险分析,得出综合单价风险概率分布,从而为投标人的报价决策提供依据。综合单价报价风险决策方法的研究对施工企业投标报价风险分析和评估具有积极的意义。     

工程建设实施阶段材料价差调整计算方法探讨

铁路工程建设项目投资受国家政策和建筑市场物价变化等因素的影响,为有效控制工程项目投资,工程施工阶段需对材料价差进行动态调整。材料价差调整政策性强、工作量大、要求精细。此文在阐述材料价差调整依据及程序的基础上,对甲供材料和施工企业自购材料价差调整的原则及计算方法进行分析与探讨,提出可采用的计算方法。并结合工程实例进行材料价差调整的计算,验证其计算方法的可行性与可用性。