Natural gas consumption forecasting model based on coal-to-gas project in China

Natural gas consumption forecasting model based on coal-to-gas project in China

论文摘要

Natural gas is widely used because it is environmentally friendly, particularly in reducing carbon emission and improving the Air Quality Index(AQI) around densely populated cities. China has initiated a coal-to-gas project(CGP) to improve the air quality in northern China. As a subcompany of China National Petroleum Corporation, PetroChina Natural Gas Marketing North Company has been focusing on natural gas resource allocation while considering numerous issues such as ensuring the bottom line of livelihood requirements in winter and the performance of economic indicators for an entire calendar year in the northern part of China. Therefore, the accurate prediction of natural gas consumption is important to PetroChina Natural Gas Marketing North Company. It has become a challenge to forecast natural gas consumption because the natural gas market has changed considerably because of the CGP. Natural gas consumption cannot be forecasted using conventional models. This study analyzes the characteristics of the CGP based on the data obtained from rural individual users and company users. Based on the analysis, the gas consumption in winter is predicted using two different forecasting approaches. The methods presented in this paper provide a basis for formulating effective measures for natural gas scheduling in the northern part of China.

论文目录

  • 1 Introduction
  • 2 Analysis of sales data
  • 3 Natural gas consumption forecasting model with CGP process
  •   3.1 The basic consumption part prediction
  •   3.2 The incremental consumption part prediction
  •   3.3 Prediction of total gas consumption
  • 4 Conclusions
  • 文章来源

    类型: 期刊论文

    作者: Zhiqiang Wang,Yichen Li,Zhanjun Feng,Kai Wen

    来源: Global Energy Interconnection 2019年05期

    年度: 2019

    分类: 工程科技Ⅱ辑

    专业: 建筑科学与工程

    单位: China University of Petroleum-Beijing

    基金: supported by the National Natural Science Foundation of China (No. 51504271)

    分类号: TU996.8

    DOI: 10.14171/j.2096-5117.gei.2019.05.008

    页码: 430-436

    总页数: 7

    文件大小: 1241K

    下载量: 36

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