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A battery is a galvanic cell that is used as a source of electrical power for specific applications. Modern batteries exist in a multitude of forms to accommodate various applications, from tiny button batteries such as those that power wristwatches to the very large batteries used to supply backup energy to municipal power grids. Some batteries are designed for single-use applications and cannot be recharged (primary cells), while others are based on conveniently reversible cell reactions that...
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Electric power is the product of current and voltage, represented in units of joules per second, or watts. For example, cars often have one or more auxiliary power outlets with which you can charge a cell phone or other electronic devices. These outlets may be rated at 20 amps and 12 volts, so that the circuit can deliver a maximum power of 240 watts. Consider a 25 Watt bulb and a 60 Watt bulb. The conversion of electrical energy produces heat and light, while the kinetic energy lost by the...
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Suppose a positive test charge moves away from a positive static charge, then the Coulomb force does positive work, and its electric potential energy decreases. The potential energy per unit charge is defined as the electric potential. The electric potential is independent of the test charge.
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Deep decarbonization potential and implementation path under provincial differences in China's fleet electrification.

Bingchun Liu1, Chengyuan Song1, Mingzhao Lai1

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The Science of the Total Environment
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This summary is machine-generated.

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Carbon emission forecasting frameworkFleet electrificationPCCs-DWT-BiLSTMProvincial difference

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Area of Science:

  • Environmental Science
  • Transportation Engineering
  • Energy Policy

Background:

  • Fleet electrification is crucial for reducing carbon emissions in road transport.
  • Heterogeneity in new energy vehicle (NEV) market penetration and vehicle types across provinces necessitates tailored decarbonization strategies.

Purpose of the Study:

  • To analyze the electrification process and carbon emission reduction potential in China's provincial road transport industry.
  • To develop a timing-responsive deep decarbonization path and policy recommendations for China's road transport sector.

Main Methods:

  • Utilized a two-layer scenario framework combining Shared Socioeconomic Pathways (SSP) scenarios and a specific model structure.
  • Employed a Pearson Correlation Coefficient-Discrete Wavelet Transform-Bidirectional Long Short-term Memory (PCC-DWT-BiLSTM) prediction model to forecast carbon emissions.
  • Analyzed NEV ownership in 31 Chinese provinces as an intermediate variable.

Main Results:

  • The PCC-DWT-BiLSTM model achieved a mean absolute percentage error of 8.583% and an R-squared of 0.975.
  • China's road transportation industry carbon emissions are projected to peak as early as 2027.
  • Provinces like Shanghai, Jiangsu, Shandong, Henan, and Guangdong can achieve faster carbon peak targets through NEV transition plans.

Conclusions:

  • Rapid implementation of renewable energy and fleet electrification will accelerate China's road transport carbon peak.
  • Sub-provincial and time-series targeted strategies are essential for deep decarbonization of the road transport industry.
  • Policy recommendations are provided to guide the transition towards sustainable road transport.