Water-carbon trade-off for inter-provincial electricity transmissions in China

Liu, Li; Yin, Zihua; Wang, Peng; Gan, Yiwei; Liao, Xiawei

doi:10.1016/j.jenvman.2020.110719

Cited by 21 publications

(9 citation statements)

References 34 publications

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“…For electricity metal-water-carbon, embodied electricity metal use is mainly transferred from Guangdong to the southwest and central provinces; embodied electricity scarcity-adjusted water use is mainly transferred from Jiangsu, Zhejiang and Shanghai to Sichuan; embodied electricity CO2 emissions are mainly transferred from Beijing-Tianjin-Hebei to other regions in the north. These flows can be summarized as occurring along three "corridors": the northern corridor, the southern corridor and the central corridor [69].…”

Section: Mismatch Between Value Added and The Environmental Impacts O...mentioning

confidence: 99%

Do electricity flows hamper regional economic–environmental equity?

Zhang

Li²,

Cai³

et al. 2022

Applied Energy

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Section: Mismatch Between Value Added and The Environmental Impacts O...mentioning

confidence: 99%

Do electricity flows hamper regional economic–environmental equity?

Zhang

Li²,

Cai³

et al. 2022

Applied Energy

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“…It can be seen that the Multi-Regional Input-Output (MRIO) model is widely used to study the environmental load transfer embodied in trade. Since electricity generation can contribute to large-scale regional environmental concerns, researchers have focused only on the environmental impacts of inter-regional electricity trade [10,12,[32][33][34][35][36]. Ma L. quantified spatial pattern change of carbon flow embodied in inter-provincial power transmission [36].…”

Section: Literature Reviewmentioning

confidence: 99%

Interprovincial Metal and GHG Transfers Embodied in Electricity Transmission across China: Trends and Driving Factors

et al. 2022

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With the increasing proportion of low-carbon power in electricity generation mix, power generation will be transformed from carbon-intensive to metal-intensive. In this context, metal and GHG transfers embodied in electricity transmission of China from 2015 to 2019 are quantified by the Quasi-Input-Output model. Combined with complex network theory, we have distinguished whether metal and GHG transfers show different trends as electricity trade changes. Driving factors contributing to forming the metal and GHG transfers are also explored based on the Quadratic Assignment Procedure. The results show that the electricity trade change has strengthened the metal transfer network significantly, while several key links in the GHG transfer network have weakened. Moreover, we find provincial differences in low-carbon electricity investment contributing to the metal transfer while affecting the GHG transfer little. The above facts imply an expanding embodied metal transfer in the future and shed light on policy making for power system decarbonization.

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“…Various strategies have been proposed to address these environmental challenges, with a focus on reducing carbon emissions and conserving water resources [12][13][14][15][16]. However, in the pursuit of carbon emission reduction, the power industry has increasingly faced a trade-off between water conservation and carbon reduction [17][18][19]. For instance, studies reveal that coal-fired power generation in water-stressed regions, especially in northern and northwestern China, increased significantly from 2000 to 2015, further aggravating water scarcity in the western coal mining and power generation hubs [18,[20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Balancing the Water-Carbon Trade-Off: Development of a Bi-Level Source-Grid-Load Synergistic Optimization Model for Multi-Regional Electric Power System

Liu,

et al. 2024

Electronics

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This study introduces the Bi-Level Source–Grid–Load Synergistic Optimization (BL_SGLSO) model, which effectively balances the competing objectives of water conservation and carbon emission reduction in the power industry. The model aims to establish a clean and low-carbon electric power system by harmoniously reconciling these two critical goals. Through the application of bi-level programming, the BL_SGLSO model adeptly manages the preferences and conflicts of decision makers at various levels while capturing regional interactions and the intricacies of electricity transmission. Key findings reveal that non-fossil energy conversion technologies are poised to become the dominant force in electricity generation, accounting for an impressive 89.34% share by 2050. To mitigate the spatial mismatch between power load and resource allocation, the development of new transmission pathways and the expansion of the “power transmission from west to east” initiative are paramount. Furthermore, the implementation of a carbon-reducing power system offers significant potential for conserving water resources and alleviating water stress. These insights provide invaluable guidance for decision makers seeking to optimize multi-regional electric power systems for both water efficiency and low-carbon outcomes while simultaneously promoting the adoption of renewable energy sources and fostering synergistic development across regions.

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Water-carbon trade-off for inter-provincial electricity transmissions in China

Cited by 21 publications

References 34 publications

Do electricity flows hamper regional economic–environmental equity?

Do electricity flows hamper regional economic–environmental equity?

Interprovincial Metal and GHG Transfers Embodied in Electricity Transmission across China: Trends and Driving Factors

Balancing the Water-Carbon Trade-Off: Development of a Bi-Level Source-Grid-Load Synergistic Optimization Model for Multi-Regional Electric Power System

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