Scenario analysis of energy consumption and greenhouse gas emissions from China's passenger vehicles

Hao, Han; Liu, Zongwei; Zhao, Fuquan; Li, Weiqi; Wen, Haiying

doi:10.1016/j.energy.2015.08.054

Cited by 116 publications

(37 citation statements)

References 23 publications

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“…From the mid-twentieth century, the government regulations, such as tailpipe emission standards and breakthrough technologies (e.g., the three-way catalytic converter), have made significant achievements in the reductions in passenger vehicle emissions. Hao et al [16] analysed the impacts of the recent pollution mitigation policies in China and concluded that fuel consumption regulations played an essential role in effectively offsetting the impacts of vehicle pollution. The first emission standards for passenger vehicles was established by California in the 1960s, which was soon followed by the rest of the United States, Japan and Europe.…”

Section: Literature Reviewmentioning

confidence: 99%

Eco-reliable path finding in time-variant and stochastic networks

Yang

Wang

et al. 2017

Energy

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This paper addresses a route guidance problem for finding the most eco-reliable path in timevariant and stochastic networks such that travelers can arrive at the destination with the maximum on-time probability while meeting vehicle emission standards imposed by government regulators. To characterize the dynamics and randomness of transportation networks, the link travel times and emissions are assumed to be time-variant random variables correlated over the entire network. A 0-1 integer mathematical programming model is formulated to minimize the probability of late arrival by simultaneously considering the least expected emission constraint. Using the Lagrangian relaxation approach, the primal model is relaxed into a dualized model which is further decomposed into two simple sub-problems. A sub-gradient method is developed to reduce gaps between upper and lower bounds. Three sets of numerical experiments are tested to demonstrate the efficiency and performance of our proposed model and algorithm.

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Section: Literature Reviewmentioning

confidence: 99%

Eco-reliable path finding in time-variant and stochastic networks

Yang

Wang

et al. 2017

Energy

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“…Greiner et al [17] conducted simulations using scenarios representing combinations of climatic, market, institutional and technological assumptions to assist with industry planning across the whole of Northern Australia pastoral industry. Hao et al [18] adopted scenario analysis to analyze energy consumption and carbon emissions from passenger transport vehicles in China. Samuel et al [19] studied the uncertainty analysis of CO 2 storage capacity for different methods under three storage scenarios in China.…”

Section: Literature Reviewmentioning

confidence: 99%

How Much CO2 Emissions Can Be Reduced in China’s Heating Industry

Lin

2016

Sustainability

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China's heating industry is a coal-fired industry with serious environmental issues. CO 2 emissions from the heating industry accounted for an average 6.1% of China's carbon emissions during 1985-2010. The potential for reducing emissions in China's heating industry is evaluated by co-integration analysis and scenario analysis. The results demonstrate that there is a long-run equilibrium relationship among CO 2 emissions and the influencing factors, including energy intensity, industrial scale, labor productivity, and energy productivity. Monte Carlo technique is adopted for risk analysis. It is found that the CO 2 emissions reduction potential of the heating industry will be 26.

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“…Growing concerns about environmental problems caused by greenhouse gas emissions have stimulated the automotive industry to improve vehicle efficiencies [1]. According to work by Lutsey, if the steel components in a car body structure are replaced by lightweight alloys such as aluminum alloys, the weight of the vehicle can be reduced by over 40%, and correspondingly, the efficiency of the vehicle would be improved by over 30% [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Determination of Processing Windows for the Hot Stamping of AA7075

Zhang

Fakir

et al. 2016

KEM

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Abstract. Hot stamping of aluminium alloys is a tailored forming process, with the assigned processing windows determining the quality of each hot stamped component in terms of its post-form strength. In this work, a processing window calculator, 'Tailor', was developed in order to define the optimal processing parameters that should be used in a production line to successfully produce a component with the desired post-form strength using hot stamping. 'Tailor' was developed using the results of forming tests, air-cooling tests and multi-stage artificial ageing tests, which provided guidance on the values for the die closing force, transfer time and artificial ageing time to be used in the hot stamping process. The effectiveness of 'Tailor' was demonstrated in two case studies.

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Scenario analysis of energy consumption and greenhouse gas emissions from China's passenger vehicles

Cited by 116 publications

References 23 publications

Eco-reliable path finding in time-variant and stochastic networks

Eco-reliable path finding in time-variant and stochastic networks

How Much CO2 Emissions Can Be Reduced in China’s Heating Industry

Determination of Processing Windows for the Hot Stamping of AA7075

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