The impact of ultra-high voltage projects on carbon emissions in China

Chi, Yuanying; Qiao, Zhaoxuan; Zhou, Wenbing; Zhang, Mengwan; Zhang, Xufeng

doi:10.1007/s11356-023-28565-y

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…The investment level was low and the investment structure was unreasonable. The Liaoning provincial government should continue to increase R&DI in carbon emission reduction technologies and prefabricated construction technologies, strengthen R&DI in energy-saving materials and transmission equipment needed for PCPs, and promote the effective transformation of scientific and technological achievements in the field of carbon emission reduction in PCPs [53,54]. They should also promote collaborative innovation by leading enterprises of the state grid and prefabricated buildings, and improve the innovation ability of enterprises.…”

Section: Increase Randd Investment and Strengthen Randd Personnel Tra...mentioning

confidence: 99%

Simulation of Carbon Emission Reduction in Power Construction Projects Using System Dynamics: A Chinese Empirical Study

Li,

Shi,

Liu

et al. 2023

Buildings

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Power construction projects (PCPs) consume a large amount of energy and contribute significantly to carbon emissions. There is relatively little research on carbon emission reduction in PCPs, especially in predicting carbon emission reduction from a dynamic perspective. After identifying the influencing factors that promote the carbon emission reduction effect of PCPs, this study adopted a dynamic analysis method to elucidate the relationship between the variables. A quantitative carbon emission reduction system for PCPs with 51 variables was established using the system dynamics model, and the system simulation was performed using Vensim PLE software. Finally, a sensitivity analysis was conducted on four key factors: R&D investment, the prefabricated construction level, the scale of using energy-saving material, and the energy efficiency of transmission equipment. The results show that: (1) The reduction in carbon emissions from PCPs continues to increase. (2) R&D investment is the most significant factor for improving the carbon emission reduction in PCPs. (3) The value of the above four influencing factors should be increased within a reasonable range so that the four factors can work better to promote the carbon emission reduction effect of PCPs. This paper creatively proposes a dynamic prediction model for carbon emission reduction in the PCP, and the research results provide the scientific basis for government supervision and enterprise decision-making.

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Section: Increase Randd Investment and Strengthen Randd Personnel Tra...mentioning

confidence: 99%