Multi-source natural gas calorific value prediction model based on T-pipe analysis and response surface methodology

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.