Forecasting China’s natural gas demand based on optimised nonlinear grey models

Faheemullah Shaikh, Qiang Ji, Pervez Hameed Shaikh, Nayyar Hussain Mirjat and Muhammad Aslam Uqaili

Energy, 2017, vol. 140, issue P1, 941-951

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 m3 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.

Keywords: Natural gas consumption forecasting; Optimisation; Grey models (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (41)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:140:y:2017:i:p1:p:941-951

DOI: 10.1016/j.energy.2017.09.037

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