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The current state-of-practice in the US for estimatingvehicle emissions is based on a single traffic-relatedexplanatory variable, namely average speed. Research,however, has demonstrated that the use of average speed asa single traffic-related variable is insufficient for theestimation of vehicle emissions. For example, although theEnvironmental Protection Agency (EPA) MOBILE5 model wouldindicate that a slowing of traffic typically increasesemissions, empirical research indicates the opposite inmany cases.The objective of this paper is to identify criticalaggregate trip variables as potential explanatory variablesfor the estimation of a vehicle's fuel consumption andemissions. Subsequently, statistical models for estimatingfuel consumption and emissions of hydrocarbon (HC), carbonmonoxide (CO), and oxides of nitrogen (NOx) aredeveloped using these critical variables that include theaverage speed, speed variability, the level ofdeceleration, and the level of acceleration. The proposedmodels are demonstrated to be consistent with microscopicenergy and emission model estimates that are based on thevehicle's instantaneous speed and acceleration levels(coefficient of determination ranges from 0.88 to 0.96). 相似文献
304.
This paper presents an integrated system for the assessmentof technical and non-technical measures that are putforward in order to reduce air pollution levels in urbanareas. In contrast to the majority of the currentlyemployed assessment tools, this system allows for theevaluation of any proposed air pollution control measure interms of its combined impact on air quality and socialwelfare, by correlating the environmental and economicaspects of alternative air pollution abatement solutions.Based on the multi-pollutant, multi-effect concept, thesystem presented aims in providing policy-makers with areliable tool for the objective assessment of the mostcost-effective packages of measures, the latter beingallocated according to the particular features and needs ofthe areas examined. 相似文献
305.
Ahmed I. El-Seesy Mohamed Nour Ali M. A. Attia Hamdy Hassan 《International Journal of Green Energy》2020,17(3):233-253
ABSTRACTThis article aims to study the influence of the addition of graphene oxide nanoparticles (GO) to diesel/higher alcohols blends on the combustion, emission, and exergy parameters of a CI engine under various engine loads. The higher alcohols mainly n-butanol, n-heptanol, and n-octanol are blended with diesel at a volume fraction of 50%. Then, the 25 and 50 mg/L concentrations of GO are dispersed into diesel/higher alcohols blends using an ultrasonicator. The GO structures are examined using TEM, TGA, XRD and FTIR. The findings show that there is a reduction in pmax. and HRR when adding higher alcohols with diesel fuel. Regarding engine emission, there is a significant improvement in emissions formation with adding higher alcohols. The addition of GO into diesel/higher alcohols blends improves the brake thermal efficiency by 15%. Moreover, the pmax. and HRR are both enhanced by 4%. The CO, UHC and smoke formation are reduced considerably by 40%, 50 and 20%, respectively, while NOx level is increased by 30% with adding GO. Finally, adding high percentages of n-butanol, n-heptanol, and n-octanol with diesel fuel with the presence of GO has the potential to achieve ultra-low CO, UHC, and smoke formation meanwhile keeping high thermal efficiency level. 相似文献
306.
Altamash Ahmad Baig Farshad Kimiaghalam Rakesh Kumar JuanLi Ma Alan S. Fung 《International Journal of Green Energy》2020,17(8):476-487
ABSTRACT An eQUEST model was developed to conduct a simulation study of a natural gas engine-driven heat pump (GEHP) for an office building in Woodstock, Ontario, Canada. Prior to the installation of the GEHP, the heating and cooling demands of the office building were provided by rooftop units (RTUs), comprising of natural gas heater and electric air conditioner. Energy consumption for both GEHP and RTUs were monitored for operation in alternating months. These recorded energy consumptions along with weather data were used in the regression analysis. The developed eQUEST models were validated and calibrated with the regression analysis results with respect to the ASHRAE Guideline 14–2014. The eventual models were then applied to investigate the potential annual energy consumption, greenhouse gas (GHG) emission and energy cost savings achieved by using the GEHP in Woodstock, and other cities in Canada, particularly in Ontario. 相似文献
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流动危险源毒气泄漏事故伤害模型研究 总被引:2,自引:0,他引:2
笔者介绍了危险货物道路运输的现状和特点,阐述了进行流动危险源事故后果分析的必要性,提出了流动危险源运动时毒气泄漏事故伤害模型,并利用该模型进行了数值模拟,证明该模型分析流动危险源运动时毒气泄漏事故的后果是可行的。 相似文献
308.
公路运输化学事故应急救援体系研究 总被引:4,自引:2,他引:2
以动态源的定义为基础 ,结合危化品公路运输特殊性 ,阐述了危化品在公路运输过程中发生化学事故后应急救援的原则、工作特点与基本要求 ;提出化学事故应急救援中的基本任务是控制危险源 ,抢救受害人员 ,指导并组织群众疏散、自救和做好事故现场清理洗消工作 ,消除危害后果 ;提出公路运输化学事故应急救援预案系统建设的总体目标是 ,在应用ITS智能交通系统对动态源精确定位的基础上 ,建立公路运输化学事故应急救援预案动态库及应急救援组织保障系统和应急救援技术支持系统 ,一旦事故发生 ,能够做到尽快有效处理 ,最大限度地减小或消除事故损失。 相似文献
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遗传算法是近年来迅速发展起来的一种全新的随机搜索与优化算法,但由于其自身固有的缺陷,通常优化过程的收敛速度较慢,局部搜索能力不足,而且算法稳定性较差。而蚁群算法广泛应用在旅行商问题计算中,目前是较好的求解最短路由问题的算法之一。就其自身来说有很多优点,如正反馈性、鲁棒性和智能性,但是在寻优过程中容易陷入局部最佳的缺点。针对上述情况,将遗产算法与蚁群算法相结合,用于实际交通系统寻找最优路径的问题中,并定义了目标函数,以路径可靠性和路径长度为优化目标,寻找最合适的救灾路线。最后通过实际计算结果的对比验证,说明了该方法的有效性。 相似文献