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          CN 51-1183/TE

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    Your Position :Home->Past Journals Catalog->2021 Vol.6

    Research on peak-shaving optimization for underground gas storage in winter based on big data
    Author of the article:XU Junjie, ZHANG Chongwei, WANG Yan, XU Ming
    Author's Workplace:PipeChina Beijing Gas Pipeline Co., Ltd., Beijing, 100101, China
    Key Words: Big data; Underground gas storage(UGS); Peakshaving in winter; Operation research
    Abstract:

    The L gas storage groups are the earliest commercial large-scale gas storage groups operating in China, which mainly guarantee peak-shaving gas supply demand in the capital city and surrounding areas in winter. Because the winter gas consumption in the region is obviously affected by the factors such as average temperature, holidays and so on, the gas consumption varies greatly in different months and on different days in winter. It is a big challenge to scientifically and rationally operate and manage the underground gas storage groups. Therefore based on the big data platform of gas storage production and combined with the multi-period peak shaving operation in winter of L gas storage groups, the research team analyses the production and operation characteristics of each gas storage, evaluates the peak-shaving gas production capacity corresponding to different pressures of the underground gas storage. This research establishes the winter peak-shaving model of gas production from gas storages in Beijing-Tianjin area for the first time, and on that basis formulates gas storages peak-shaving scheme to guide the scientific and rational operation of L gas storage groups. The gas production peak-shaving model based on big data can provide scientific guidance for the optimization of peak-shaving gas production for domestic gas storages of the same nature in winter.

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