Evaluating natural gas supply security in China: An exhaustible resource market equilibrium model

Wang, Xiaolin; Qiu, Yangyang; Chen, Jun; Hu, Xiangping

doi:10.1016/j.resourpol.2022.102562

Cited by 13 publications

(4 citation statements)

References 43 publications

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“…Chinese government is planning to build China-Russian East Line, Sakhalin Line, Ordos-Anping-Cangzhou Line and Xinjiang-Guangdong-Zhejiang Line. These four trunk lines will make up for the gas shortage of five gas supply chains of Tarim Basin, Ordos Basin, Sichuan Basin, Songliao Basin and import LNG in southeast coast, as shown in Appendix 2 (Wang et al, 2022).…”

Section: Natural Gas Pipeline Network In Chinamentioning

confidence: 99%

Identifying the critical factors of transmission efficiency loss in China’s natural gas network

Wang

Zhang

et al. 2023

Front. Energy Res.

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China’s market-oriented reform supports the sustainable development of energy mix and the low-carbon target, and natural gas has bridged the transition from traditional fossil energy to clean and renewable energies. The third-party access policy, launched recently by China’s natural gas market, drives the decouple between gas trade and transport. The decouple might lead to the transmission resources of physical network not optimally used, which is caused by the contractual arrangement between entry and exit capacities in commercial network. Aiming at this issue, we established a mathematical programming with equilibrium constraints (MPEC) to integrate the allocations of commercial capacity and physical flows, based on a minimum cost maximum flow problem (MCMF) abstracted from China’s existing gas network. The MPEC model was then used to strategically evaluate the transmission efficiency, and identify the critical factors of its loss. Our results show that there is transmission efficiency loss of China’s gas network from the shortage of geospatial gas supply and the invisible segmentation of gas network due to interdicted cost of pipeline, bottleneck of pipeline capacity and economic radius of gas supply chains to transport gas. Therefore, the critical factor of the loss to be identified will be helpful for strategically reducing the cost of decoupling gas trade and transport.

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Section: Natural Gas Pipeline Network In Chinamentioning

confidence: 99%

Identifying the critical factors of transmission efficiency loss in China’s natural gas network

Wang

Zhang

et al. 2023

Front. Energy Res.

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“…To this end, it is advisable to increase emergency investment, adjust fiscal mechanisms, set up special emergency funds, establish and improve emergency social insurance and social assistance, strengthen the depth, breadth, and intensity of exchanges and cooperation between governments and enterprises using the intelligent information technology, and deal with urban disaster losses properly. (7) Measures should also be taken to improve the government's capacity for influence and enforcement, train professional emergency management personnel, enhance the theoretical knowledge of management and the practical ability, and publicize basic knowledge of emergency response, basic knowledge of emergency response, and psychological counseling to reduce psychological panic among the masses.…”

Section: Policy Recommendationsmentioning

confidence: 99%

“…Given the importance of natural gas energy in China, the problem of natural gas shortage has attracted public attention [6,7]. Natural gas supply interruption caused by major natural disasters, such as wars, major production, and transportation safety accidents, is provided with the characteristics of suddenness, urgency, uncertainty of information, variability in development trends, and large scope of influence [8].…”

Section: Introductionmentioning

confidence: 99%

Research on the Cooperation of Emergency Response Subjects for the Shortage of Urban Natural Gas Energy

Hao

2022

Mathematical Problems in Engineering

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This paper deals with the urgent problem of urban natural gas shortage. In order to improve emergency efficiency, enhance emergency efforts, and reduce urban disaster losses, the differential game theory is firstly applied for constructing a tripartite dynamic game model. Then, based on the Hamilton–Jacobi–Bellman (HJB) equation, the optimal effort degree, natural gas energy shortage, and maximum urban loss are obtained in three cases, i.e., spontaneous governance mode, superior dominant mode, and cooperative mode. The results show that the effort of provincial government, local government, and natural gas emergency enterprise is positively related to the emergency shadow, the impact of effort and natural gas energy attenuation coefficient of provincial government, local government, and enterprise, but it is negatively related to the emergency cost coefficient and the discount rate. From the perspective of emergency shortage and total urban loss, the government-enterprise cooperation mode turns out to be the best emergency mode, while the spontaneous governance mode remains the worst. At the same time, the government implements subsidies and incentives for nongovernmental organizations involved in emergency response, which is more conducive to the emergency of natural gas shortage in heavily suffering cities.

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“…e supply chain is a functional network chain structure, which takes the enterprise as the core, uses raw materials to make final products, and finally delivers the products to consumers through the sales network [22]. Sand-making factories play the roles of suppliers, manufacturers, warehouses, and distribution centers in the supply chain.…”

Section: Introductionmentioning

confidence: 99%

Construction of a Smart Supply Chain for Sand Factory Using the Edge-Computing-Based Deep Learning Algorithm

Zhang

Ban

et al. 2022

Scientific Programming

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The diminishing natural sand has facilitated the booming of the sand manufacturing industry, and intelligent management of sand factories, in a time- and cost-efficient way, has become a growing tendency for the future. A role has been played in achieving intelligent management by constructing a smart supply chain. However, the smart sand factories are hardly involved in previously reported studies, which is inconsistent with related studies on smart factories and the Industrial Internet of Things (IIoT). In this paper, a smart supply chain management system (SSCMS) is constructed to realize the intelligence and automatization of the management of sand factories, using edge-computing and deep learning techniques. Along the supply chain, the deep learning model is used to realize the automatic identification of sand, avoiding the disadvantages of human identification, while improving the quality of sand factory operations. In order to relieve the pressure of network bandwidth, reduce system delay, and improve system operation efficiency, we use edge-computing technology to process data at the edge. To verify the performance of the constructed system, a sand factory simulation platform is established. Experiments show that the most critical indicator in the system, the accuracy rate of sand type identification, is above 98%, and the sand type identification time is only 0.022 s. In general, compared with traditional supply chain management, the constructed smart supply chain improves the quality and efficiency of sand factory operations, and all indicators of the designed system have achieved satisfactory results.

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Evaluating natural gas supply security in China: An exhaustible resource market equilibrium model

Cited by 13 publications

References 43 publications

Identifying the critical factors of transmission efficiency loss in China’s natural gas network

Identifying the critical factors of transmission efficiency loss in China’s natural gas network

Research on the Cooperation of Emergency Response Subjects for the Shortage of Urban Natural Gas Energy

Construction of a Smart Supply Chain for Sand Factory Using the Edge-Computing-Based Deep Learning Algorithm

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