Research of an Improved Genetic Algorithm for Job Shop Scheduling

Zhou, Guo Hua

doi:10.4028/www.scientific.net/amr.1078.417

Cited by 1 publication

(1 citation statement)

References 5 publications

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“…3) Evaluation of energy saving and greenhouse gas emission reduction: Compared with diesel buses, pure electric buses have an energy saving potential of 12.69%, and a greenhouse gas emission reduction potential of up to 6.05% of the greenhouse gas emission reduction potential. If the effective passenger capacity is not taken into account, and only the vehicle service mileage is used as the functional unit of evaluation, the energy saving potential of pure electric buses can reach 20%-30 [3], which is larger compared with the results of this paper. The reason is that this study to travel service as a functional unit, and at the same time consider the effective passenger capacity and service mileage two factors, and in general, the effective passenger capacity of new energy buses is relatively low, so the energy saving potential is reduced accordingly, and the effective passenger capacity of the bus on the overall service function of the bus has a certain impact on the energy consumption and greenhouse gas emissions.…”

Section: ) Evaluation Of Ghg Emissions At Different Stages Of the Lif...mentioning

confidence: 58%

Integrated Optimization Study of Electric Bus Fleet Transformation

Wang,

Zhao,

Pan

et al. 2024

AJST

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With the increasing social demand for sustainable and environmentally friendly transportation, the transformation of public transportation systems has become an important issue. In this paper, three mathematical models are developed to synthesize the ecological consequences, financial models and transition scenarios in the transition from diesel to electric bus fleet. In Problem 1, this paper adopts the Life Cycle Assessment (LCA) method to examine the full life cycle energy consumption of the product. The model comprehensively considers the main raw material production stage, vehicle assembly and distribution stage, vehicle driving stage and vehicle scrapping and dismantling stage, as well as the production stage of all types of energy added to the vehicle driving stage, i.e., the production stage of fuels and electricity, and finally applies Gabi, the life cycle evaluation software developed by PE Germany, to carry out the evaluation of the life cycle energy consumption and greenhouse gas emissions. Finally, the energy-saving potential of pure electric buses reaches 12.69%, and the GHG emission reduction potential reaches 6.05%. The results are applied to the bus fleet in Beijing, and it is calculated that the replacement of the bus fleet with pure electric buses can save 21.87% of energy and bring about a total GHG emission reduction of 60,700 tons. In Problem 2, this paper adopts the research method of life cycle cost (LCC). The model quantifies all the technical, material, human and organizational measures involved in the whole bus system process into cost indicators, and then builds a financial model for the transition of the fleet to a pure electric bus fleet based on the model, which provides a reliable basis for the bus company's decision-making. From a long-term perspective, the public transport company to choose a pure electric bus fleet will be more economically efficient, but need to bear the costly transition to the acquisition of costs. Overall, this paper comprehensively explores the smart bus fleet transformation problem through three complementary models. It provides strong support for decision makers from the perspectives of life cycle cost, financial planning and environmental friendliness. The combined use of these models makes the article more comprehensive and provides useful lessons for future bus fleet transformation.

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Section: ) Evaluation Of Ghg Emissions At Different Stages Of the Lif...mentioning

confidence: 58%