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公开(公告)号:US12253306B2
公开(公告)日:2025-03-18
申请号:US17762588
申请日:2020-05-27
Applicant: Chiyoda Corporation
Inventor: Takayuki Ochiai , Yoshihiro Yamaguchi
Abstract: A method for determining an operating condition of a liquefied natural gas plant (2) includes preparing a training model (88) generated by machine learning using training data in which operating conditions data including a composition of a feed gas, a composition of a mixed refrigerant, and an ambient temperature and operation result data including a production efficiency of a liquefied product containing liquefied natural gas and a heavy component of the feed gas are associated together; and determining, as one new operating condition, a composition of the mixed refrigerant that optimizes a production efficiency of the liquefied natural gas predicted by the training model (88) from a latest composition of the feed gas in the liquefied natural gas plant (2) and a latest ambient temperature.
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公开(公告)号:US11320811B2
公开(公告)日:2022-05-03
申请号:US16995031
申请日:2020-08-17
Applicant: CHIYODA CORPORATION
Inventor: Yoshihiro Yamaguchi , Takehito Yasui , Toshiya Momose
IPC: G05B19/418 , G06N20/00
Abstract: A plant operating condition setting support system for supporting the setting of a plant operating condition includes: a learning device that learns a regression model for calculating, from values of a plurality of state parameters indicating an operating condition of a plant and values of a plurality of manipulation parameters set to control an operation of the plant, a predicted value of an output indicating a result of operating the plant when the values of the plurality of manipulation parameters are set in the operating condition indicated by the values of the plurality of state parameters; and an operating condition setting support device that calculates the values of the plurality of manipulation parameters that should be set to control the operation of the plant, by using the regression model learned by the learning device.
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