Lifecycle cost assessment and carbon dioxide emissions of diesel, natural gas, hybrid electric, fuel cell hybrid and electric transit buses

Lajunen, Antti; Lipman, Timothy

doi:10.1016/j.energy.2016.03.075

Cited by 309 publications

(196 citation statements)

References 26 publications

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“…Differences between life-cycle energy use and GHG emissions results among studies of NGVs in China and other countries are largely due to (1) the difference in the adopted fuel consumption rate, including the impact of different application types and tonnage types. For example, a study by Tu et al (2013b) evaluated the life-cycle emissions of GHGs and other pollutants from NG-powered concrete-mixer trucks, a typical type of truck (Cai et al 2017;Hao et al 2015;Song et al 2017;Tu et al 2013b); (2) differences in the energy consumption and GHG emissions produced in the process of fuel acquisition, particularly for widely used industry boilers largely fuelled by coal, which have an low efficiency compared with the global level (Cai et al 2017;Ou et al 2010;Wang 2015); and (3) different operating environments (Ercan and Tatari 2015;Lajunen and Lipman 2016;Lin et al 2015). …”

Section: Comparison Of the Results With Those Of Other Studiesmentioning

confidence: 99%

Petroleum substitution, greenhouse gas emissions reduction and environmental benefits from the development of natural gas vehicles in China

et al. 2018

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This study develops a bottom-up model to quantitatively assess the comprehensive effects of replacing traditional petroleum-powered vehicles with natural gas vehicles (NGVs) in China based on an investigation of the direct energy consumption and critical air pollutant (CAP) emission intensity, life-cycle energy use and greenhouse gas (GHG) emission intensity of NGV fleets. The results indicate that, on average, there are no net energy savings from replacing a traditional fuel vehicle with an NGV. Interestingly, an NGV results in significant reductions in direct CAP and life-cycle GHG emissions compared to those of a traditional fuel vehicle, ranging from 61% to 76% and 12% to 29%, respectively. Due to the increasing use of natural gas as a vehicle fuel in China (i.e. approximately 28.2 billion cubic metres of natural gas in 2015), the total petroleum substituted with natural gas was approximately 23.8 million tonnes (Mt), which generated a GHG emission reduction of 16.9 Mt of CO 2 equivalent and a CAP emission reduction of 1.8 Mt in 2015. Given the significant contribution of NGVs, growing the NGV population in 2020 will further increase the petroleum substitution benefits and CAP and GHG emission reduction benefits by approximately 42.5 Mt of petroleum-based fuel, 3.1 Mt of CAPs and 28.0 Mt of GHGs. By 2030, these benefits will reach 81.5 Mt of traditional petroleum fuel, 5.6 Mt of CAPs and 50.5 Mt of GHGs, respectively.

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Section: Comparison Of the Results With Those Of Other Studiesmentioning

confidence: 99%

Petroleum substitution, greenhouse gas emissions reduction and environmental benefits from the development of natural gas vehicles in China

et al. 2018

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“…Energies 2018, 10, x FOR PEER REVIEW 6 of 17 (6) In the sampling period between two adjacent prediction time ij, measured data Pi1, Pi2, …, Pin and the ith period network state parameters w k ij, w k jk, b k j, θ k j are used as input parameters for topology optimization; (7) The network online training approximation performance index J(t) is evaluated. Online training is performed to approximate optimal control Δw*ij, Δw*jk, Δb*j, Δθ*j; another network weight is fixed when a network parameter is trained, and the related methods can be seen in the literature [25]; (8) The basic prediction steps in this paper are shown in Figure 2.…”

Section: The Prediction Process Of Wnnmentioning

confidence: 99%

An Electric Bus Power Consumption Model and Optimization of Charging Scheduling Concerning Multi-External Factors

et al. 2018

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Abstract:With the large scale operation of electric buses (EBs), the arrangement of their charging optimization will have a significant impact on the operation and dispatch of EBs as well as the charging costs of EB companies. Thus, an accurate grasp of how external factors, such as the weather and policy, affect the electric consumption is of great importance. Especially in recent years, haze is becoming increasingly serious in some areas, which has a prominent impact on driving conditions and resident travel modes. Firstly, the grey relational analysis (GRA) method is used to analyze the various external factors that affect the power consumption of EBs, then a characteristic library of EBs concerning similar days is established. Then, the wavelet neural network (WNN) is used to train the power consumption factors together with power consumption data in the feature library, to establish the power consumption prediction model with multiple factors. In addition, the optimal charging model of EBs is put forward, and the reasonable charging time for the EB is used to achieve the minimum operating cost of the EB company. Finally, taking the electricity consumption data of EBs in Baoding and the data of relevant factors as an example, the power consumption prediction model and the charging optimization model of the EB are verified, which provides an important reference for the optimal charging of the EB, the trip arrangement of the EB, and the maximum profit of the electric public buses.

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“…This research also references Ref. [6,17,18] to build the costing parameters of the H 2 pathway and FCB operation as shown in Fig. 3, and uses a bottom-up approach to gather the actual data of each phase of Zhangjiakou FCB project.…”

Section: Methods and Datamentioning

confidence: 99%

A solution to renewable hydrogen economy for fuel cell buses – A case study for Zhangjiakou in North China

Zhang

Zhang²,

Xie³

2020

International Journal of Hydrogen Energy

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Lifecycle cost assessment and carbon dioxide emissions of diesel, natural gas, hybrid electric, fuel cell hybrid and electric transit buses

Cited by 309 publications

References 26 publications

Petroleum substitution, greenhouse gas emissions reduction and environmental benefits from the development of natural gas vehicles in China

Petroleum substitution, greenhouse gas emissions reduction and environmental benefits from the development of natural gas vehicles in China

An Electric Bus Power Consumption Model and Optimization of Charging Scheduling Concerning Multi-External Factors

A solution to renewable hydrogen economy for fuel cell buses – A case study for Zhangjiakou in North China

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