Journal
ENERGY
Volume 247, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.123518
Keywords
Energy resilience; Natural gas; Supply shortages; System dynamics model
Categories
Funding
- National Natural Science Foundation of China [71874191]
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This paper examines the recovery ability of China's natural gas (NG) system under supply shortages and proposes a resilience assessment framework. The study finds that system resilience can be improved by emergency supply measures and demand compression measures, but may not effectively recover during seasonal demand peaks. The transportation capacity of underground storage is identified as a key factor in improving NG system resilience.
In recent years, with the rapid growth of natural gas (NG) consumption and foreign dependency in China, frequent supply shortages have threatened supply security. From the perspective of energy resilience, this paper aims to examine the recovery ability of China's NG system under supply shortages. By combining the resilience curve and system dynamics (SD) model, we proposed a resilience assessment framework. By SD modeling, this paper simulates and analyzes the system recovery process after supply shortages, and measures the resilience of the NG system based on the proposed framework. This paper also proposes the resilience elasticity index and identifies the key factors to improve the system resilience. The research conclusions mainly include: (1) system resilience can be improved by emergency supply measure and demand compression measure; (2) by currently available measures, the NG system can recover from a 30% import supply shortage, but not when seasonal demand peak happens at the same time; (3) transportation capacity of underground storage is the most important factor in improving NG system resilience; (4) underground reserve storage and its transportation capacity need to be improved simultaneously to guarantee the improvement of system resilience, but underground storage now lags behind pipelines at the present stage. (c) 2022 Elsevier Ltd. All rights reserved.
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