Forecasting China's natural gas demand based on optimised nonlinear grey models. (1st December 2017)

• Record Type: Journal Article
• Authors: Shaikh, Faheemullah; Ji, Qiang; Shaikh, Pervez Hameed; Mirjat, Nayyar Hussain; Uqaili, Muhammad Aslam
• Is Part Of: Energy. Volume 140:Part 1(2017)
• Page Start: 941
• Page End: 951
• Publication Date: 2017-12-01
• Subjects: Natural gas consumption forecasting -- Optimisation -- Grey models; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2017.09.037
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Natural gas increasingly has become an important policy choice for China to modify its high carbon energy consumption structure. Natural gas is a low carbon energy option for China's government to fulfil its volunteer commitments with the international community to mitigate greenhouse gas emissions. This study has constructed China's natural gas consumption forecasting model by utilising two optimised nonlinear grey models: the Grey Verhulst Model and the Nonlinear Grey Bernoulli Model. Both of these models have precisely adapted China's actual natural gas consumption and forecasted that the country's natural gas demand will reach 315 billion m 3 by 2020. In addition, the existing and projected natural gas supplies and the capacities of imports, such as liquefied natural gas and pipeline natural gas, have been evaluated to gain a better understanding of the supply-demand and import trends. Accordingly, it has been observed that China's existing and planned natural gas supplies and LNG and PNG infrastructure will be sufficient to cope with the growing energy demand for the period 2014–2020. However, this situation will cause a significant increase in its import dependency. Highlights: Modelled the non-linear pattern (2002–2013) for China's natural gas consumption. Demand will grow at a rate of 11% per year and jump to 315 BCM by 2020. Import dependency will increase from exiting 32% to above 50% by 2020. Import infrastructure will be sufficient to import required quantity by 2020.