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Chapter V Strategies for Climate Change Mitigation

Transformation in the transportation sector is equally indispensable,and the taskis ardu-
ous. Vigorously promoting new energy vehicles remains the top priority, which not only re-
quiresautomakers to increaseinvestment in technological R&D to enhance key indicators like
range and safety performance of new energy vehicles, but also demands government depart-
ments to improve charging infrastructure. Taking China as an example, by the end of 2023,
the country had deployed over 6 million charging piles. Strategically placing charging facili-
ties and battery swap stations across urban areas will boost market penetration of new energy
vehicles, gradually reduce conventional fuel-powered vehicles, and thereby lower transpor-
tation-related carbon emissions. Additionally, developing efficient public transit systems is
critical. Optimizing urban transportation planning by expanding high-capacity systems like
subways, light rails, and bus rapid transit (BRT) will improve accessibility and comfort of
public transport. Encouraging green commuting methods such as walking and cycling will
motivate more people to adopt eco-friendly travel options, further reducing transportation
emissions and restoring clean air to cities.
(2) The impact of emerging technologies and industries on mitigation strategies
The emergence of emerging technologies has come like a timely rain, infusing robust
momentum into global climate change mitigation strategies. In Carbon Capture and Stor-
age (CCS) technology, researchers continuously explore innovations, achieving remarkable
breakthroughs across all aspects—from improvements in adsorption materials to optimiza-
tion of capture processes. Throughdeveloping novelporous adsorption materials, the adsorp-
tion capacity for carbon dioxide can be increased by over 30%, while optimizing capture
processes such as employing low-temperatureamineabsorption method, enhancing carbon
capture efficiency. These efforts have led to a significant improvement in carbon capture
efficiency while continuously reducing costs, enabling CCS technology to gradually tran-
sition from concept to reality in large-scale industrial applications. Once deployed at scale,
this will effectively reduce carbon dioxide emissions in industrial processes. For instance, at
carbon-intensive facilities like coal-fired power plants and cement factories, CCS technology
can collect and sequester emitted CO , contributing to global deep decarbonization and play-
2
ing a crucial role in addressing climate change.
Artificial intelligence and big data technologies are playing an increasingly vital role
in energy management and climate prediction. In energy management, through real-time
monitoring and analysis of energy data, AI algorithms can precisely identify peak and off-
peak energy usage patterns, thereby optimizing energy distribution to ensure the most ratio-
nal utilization across all processes and improve energy efficiency. For instance, smart grid
systems employing AI technology can dynamically adjust power distribution based on users’
electricity consumption habits and real-time demands, effectively reducing grid losses. Big
data technology integrates massive global climate datasets encompassing multidimensional
information such as temperature, precipitation, and wind speed. Leveraging advanced data
mining and analysis methods, it enhances climate prediction accuracy, providing robust sup-

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