控制轿车加油排放的ORVR技术综述

针对安装在轿车油箱上的控制加油排放的车载加油蒸气回收装置(ORVR)进行研究,并且将ORVR与二级汽油回收系统(StageⅡ)的控制排放效果进行比较,结果表明,采用ORVR技术的控制效果更好,而且成本低,有必要全面实施ORVR控制系统。     

燃用不同地区燃油时过量空气系数对汽车发动机排放性能影响的分析

首先分析了我国7大地区燃油组分的特点;然后着重选用西南地区和华中地区的燃油进行发动机试验,适当调整过量空气系数,测试其CO、CO2、HC和NOx等排放的变化.结果表明基于不同地区燃油芳烃、烯烃组分的特点,适当调整过量空气系数,可使发动机的排放有所降低.     

The trade-off between trips and distance traveled in analyzing the emissions impacts of center-based telecommuting

Several travel indicators were compared between telecommuting (TC) days and non-telecommuting days for a sample of 72 center-based telecommuters in California. Distance traveled decreased significantly on TC days, with average reductions of 51 person-miles (58%) and 35 vehicle-miles (53%). When weighted by telecommuting frequency, average reductions of 11.9% in PMT and 11.5% in VMT were found over a five-day work week. Person-trips and vehicle-trips increased slightly (but not significantly) on TC days. This was due to statistically significant increases in commute trips by telecommuters (who more often went home for lunch on their TC days), partly counteracted by decreases in non-commute travel. The drive-alone mode share increased on TC days, both for all trips, and for commute trips in particular. Walking and biking shares also increased modestly on TC days, whereas shares of transit and ridesharing declined. Despite the increase in trip rates, TC-day reductions were found for all pollutants analyzed: 15% for total organic gas emissions, 21% for carbon monoxide, 35% for oxides of nitrogen, and 51% for particulate matter. The reduction in VMT more than compensated for the marginal increase in number of trips (and consequently, cold starts) on telecommuting days.     

基于传统动力源的重型商用车减碳技术

在全球能源危机和温室效应加剧的大环境下,中国向世界承诺减碳目标：2030年前力争实现碳达峰,2060年前力争实现碳中和。作为节能减排的重点,重型商用车的减碳成效是“双碳”征程中的关键。重点介绍基于传统动力源的重型商用车减碳技术,包括内燃机燃烧、低摩擦、智能变速、轻量化、混合动力等技术在内的动力总成领域,以及包括天然气、含氧燃料、氢氨燃料在内的先进燃料领域。通过不同领域的技术发展以及优势互补,更加高效、低碳、清洁的内燃机仍将在重型商用车领域持续发挥重要作用。     

Greenhouse gas emissions from road transport in South Africa and Lesotho between 2000 and 2009

Road transport is the major source of global greenhouse gas emissions from the transport sector, contributing about three quarters towards the total transport emissions. This study used the Intergovernmental Panel on Climate Change Tier 2 approach to calculate greenhouse gas emissions from road transport in South Africa and Lesotho between 2000 and 2009. Key transport emitting sources, trend analysis and modal intensities were determined for the two countries. For South Africa, provincial road transport emissions were calculated from the number of vehicles by vehicle type and distance travelled. Calculations were at a national level in Lesotho. Road transport carbon dioxide equivalent emissions were estimated at 43.5 million tonnes in South Africa and 0.28 million tonnes in Lesotho in 2009. Motorcars and trucks produced 70.6% of the total road transport emissions in South Africa. Road transport emissions increased by approximately 2.6% per year between 2000 and 2009 in South Africa, while they increased by approximately 2.5% per annum in Lesotho over the same period. Gauteng province had the highest emissions, contributing approximately a third of total road transport emissions in South Africa; while the Northern Cape contributed only 2%. Minibus taxis were the most efficient transport mode on the basis of load carried. The Northern Cape had the highest emissions per passenger-kilometres and tonne-kilometre while the North West had the lowest. Trend assessment showed that emissions from trucks increased rapidly while emissions from other modes of transport decreased over the study period.     

Carbon dioxide emissions from port container distribution: Spatial characteristics and driving factors

Port carbon dioxide (CO₂) emissions in China have become an ever-increasing public concern due to their significant impacts on human health and the environment. However, existing studies focus mainly on CO₂ emissions from vessels calling at the ports and cargo handling within the ports, paying little attention to the inland distribution networks. To fill this gap, this paper proposes an easily implemented method for calculating CO₂ emissions from port container distribution (PCD) and investigates their spatial characteristics and driving factors. By analyzing 30 container ports in China, the main findings are as follows. First, road transportation is the major contributor of CO₂ emissions from PCD due to the lack of rail and inland water transportation. Second, PCD carbon emissions exhibit significant local spatial clustering. That is, ports with similar geographical locations tend to present a similar pattern of PCD carbon emissions. Third, as suggested by the spatial Durbin model, PCD carbon emissions are negatively determined by local gross domestic product, number of port berths, but are positively determined by local tertiary industry value and highway freight volume, and waterway freight volume in both local and neighboring ports. These results provide empirical insights into cross-port collaboration in reducing PCD carbon emissions.     

Adapting the shipping sector to stricter emissions regulations: Fuel switching or installing a scrubber?

This paper examines how the existing fleet in the shipping industry can be adapted to the new emission regulations through the two main techniques that currently exist: (a) the use of low-sulphur marine diesels; and (b) the installation of scrubbers. A method is presented here for drawing up an economic assessment of both these techniques under uncertainty. It enables the best option to be selected at any given time taking into account fuel prices (spot and futures), scrubber installation costs, the time that the vessel operates in an Emission Control Area (ECA) and the remaining useful lifetime of the vessel. The paper also considers the possibility of an unexpected change from a non-ECA navigation area to an ECA. The assessment is carried out in a manner consistent with marine diesel and crude oil spot and futures market quotes. Our results show the net present value of investing in the installation of scrubbers and investing in changing fuel types for different assumptions on how vessels are operated. We also analyse increases in fuel consumption and CO₂ emissions as a consequence of using scrubbers and how they affects the financial analysis if such incremental emissions must be paid under a CO₂ pricing mechanism.     

碳达峰下城市交通运输减排治理策略研究

随着我国城镇化和机动化进程的不断加快，交通运输行业的污染排放问题愈发严重，已经 成为碳排放的主要来源之一。通过政策手段有效治理城市交通运输污染排放是实现城市可持续 发展和2030年碳达峰目标的关键。本文在分析城市交通系统结构和各个要素因果关系的基础 上，将城市交通能耗与排放系统划分为：人口、经济、私家车、公共交通、物流与货运、交通基础设 施、能源消耗与排放等7个子系统，利用系统动力学方法建立城市交通减排治理决策模型，以哈尔 滨市为例进行策略仿真。在对模型进行方程设置、参数估计和有效性检验之后，利用Vensim软件 仿真模拟不同交通减排治理策略实施效果，并探讨如何通过不同策略组合实现城市交通碳达峰 目标，为碳达峰下城市交通减排治理提供决策依据和策略方案。     

Development a new power management strategy for power split hybrid electric vehicles

Reduction of greenhouse gas emission and fuel consumption as one of the main goals of automotive industry leading to the development hybrid vehicles. The objective of this paper is to investigate the energy management system and control strategies effect on fuel consumption, air pollution and performance of hybrid vehicles in various driving cycles. In order to simulate the hybrid vehicle, the combined feedback–feedforward architecture of the power-split hybrid electric vehicle based on Toyota Prius configuration is modeled, together with necessary dynamic features of subsystem or components in ADVISOR. Multi input fuzzy logic controller developed for energy management controller to improve the fuel economy of a power-split hybrid electric vehicle with contrast to conventional Toyota Prius Hybrid rule-based controller. Then, effects of battery’s initial state of charge, driving cycles and road grade investigated on hybrid vehicle performance to evaluate fuel consumption and pollution emissions. The simulation results represent the effectiveness and applicability of the proposed control strategy. Also, results indicate that proposed controller is reduced fuel consumption in real and modal driving cycles about 21% and 6% respectively.     

一种预测内燃机稳态排放特性的方法

为预测内燃机在额定工况范围内的排放特性，综合利用试验和模拟研究的优势，基于少量有代表性、易于实现的排放试验结果，利用神经网络的非线性映射能力，建立神经网络排放预测模型，研究结果表明该方法是可行的，提供了快速了解内燃机排放特性的手段。