Forecasting the Consumption of Gasoline in Transport Sector in Pakistan Based on ARIMA Model

被引:14
|
作者
Bhutto, Abdul Waheed [1 ,2 ]
Bazmi, Aqeel Ahmed [3 ]
Qureshi, Khadija [2 ]
Harijan, Khanji [4 ]
Karim, Sadia [1 ]
Ahmad, Muhammad Shakil [5 ]
机构
[1] Dawood Univ Engn & Technol, Dept Chem Engn, Karachi, Pakistan
[2] Mehran Univ Engn & Technol, Dept Chem Engn, Jamshoro 76062, Pakistan
[3] COMSATS Inst Informat Technol, Dept Chem Engn, Proc & Energy Syst Engn Ctr PRESTIGE, Lahore, Pakistan
[4] Mehran Univ Engn & Technol, Dept Mech Engn, Jamshoro 76062, Pakistan
[5] COMSATS Inst Informat Technol, Dept Management Sci, Attock, Pakistan
关键词
gasoline consumption; forecasting; ARIMA; Pakistan; AUTOREGRESSIVE TIME-SERIES; NEURAL-NETWORK; DEMAND; ETHANOL; PERFORMANCE; EMISSIONS; BIOFUELS; FUEL;
D O I
10.1002/ep.12593
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An important part, of renewable energy strategy of any country is to find suitable transportation fuels to substitute for gasoline and diesel oil. Ethanol has been widely adopted as a substitute for gasoline and, diesel oil. The quantity of ethanol required as renewable transport fuel is related to nature of gasoline and diesel demand. Based on data for 1991-2014, this study used autoregressive integrated moving average (ARIMA) method to estimate the consumption of gasoline in transportation sector in Pakistan from 2015 to 2025. The model results fit well with historical data showing high degree of accuracy. Study provides useful information for designing policy in, favor of substituting gasoline with ethanol. Additionally, forecasted, results provide useful support for designing an appropriate infrastructure and investment plan with reference to both gasoline and E10 in future. This study also provides a drive for existing refineries to focus on upgrading production configurations in order to increase the share of gasoline in their product-mix. (C) 2017 American Institute of Chemical Engineers
引用
收藏
页码:1490 / 1497
页数:8
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