Jun Zhou , Wenqi Fu , Guangchuan Liang , Zichen Li , Xuan Jiang , Daixin Zhang , Dongyang Xu
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引用次数: 0
Abstract
In the rapid development of the natural gas industry, it is important to achieve accurate and reliable prediction of natural gas calorific value (NGCV). With the formation of a multi-source gas supply, various parameters of natural gas flow will undergo changes, which can affect the acquisition of NGCV. Therefore, this paper establishes a T-pipe model of a multi-source mixed-transmission to analyze the influencing factors of NGCV. It explores the relationship between the mixing of natural gas from multiple sources, gas supply volume, pipe diameter, and other factors, and determine the position where the multi-source natural gas is uniformly mixed in the T-pipe. Additionally, a calorific value prediction model based on response surface (RSCVP-model) is proposed. The uncertainty of the model ranges from 0.18 % to 0.253 %, validating the accuracy and applicability of the model and providing reference for the prediction of NGCV.
期刊介绍:
Flow Measurement and Instrumentation is dedicated to disseminating the latest research results on all aspects of flow measurement, in both closed conduits and open channels. The design of flow measurement systems involves a wide variety of multidisciplinary activities including modelling the flow sensor, the fluid flow and the sensor/fluid interactions through the use of computation techniques; the development of advanced transducer systems and their associated signal processing and the laboratory and field assessment of the overall system under ideal and disturbed conditions.
FMI is the essential forum for critical information exchange, and contributions are particularly encouraged in the following areas of interest:
Modelling: the application of mathematical and computational modelling to the interaction of fluid dynamics with flowmeters, including flowmeter behaviour, improved flowmeter design and installation problems. Application of CAD/CAE techniques to flowmeter modelling are eligible.
Design and development: the detailed design of the flowmeter head and/or signal processing aspects of novel flowmeters. Emphasis is given to papers identifying new sensor configurations, multisensor flow measurement systems, non-intrusive flow metering techniques and the application of microelectronic techniques in smart or intelligent systems.
Calibration techniques: including descriptions of new or existing calibration facilities and techniques, calibration data from different flowmeter types, and calibration intercomparison data from different laboratories.
Installation effect data: dealing with the effects of non-ideal flow conditions on flowmeters. Papers combining a theoretical understanding of flowmeter behaviour with experimental work are particularly welcome.