DocumentCode
3004084
Title
Econometric modeling and forecasting of natural gas demand for power sector in Bangladesh
Author
Dey, Himadri Shekhar ; Kabir, Md Ashfanoor ; Wadud, Zia ; Khan, Shahidul Islam ; Azad, Md Abul Kalam
Author_Institution
Dept. of Electr. Eng., Univ. of Notre Dame du Lac, Notre Dame, IN, USA
fYear
2011
fDate
21-24 Nov. 2011
Firstpage
1383
Lastpage
1386
Abstract
Natural gas is the principal indigenous resource for power generation in Bangladesh. Use of other conventional fossil fuels like petroleum and coal are quite insignificant with respect to the use of natural gas. The gas reserve of Bangladesh is depleting fast because of this heavy dependence on gas. Therefore, it is essential to have a realistic assessment of the gas demand pattern in the near future. In this paper the impacts of economic variables like gas price, per capita Gross Domestic Product (GDP) on gas demand were investigated by employing advanced econometric modeling technique. This research uses time series data for modeling the gas demand in Power sector and forecasting the demand up to 2025. Various statistical tests were employed to choose the correct functional form. Results show no significant impact of price on gas demand. Moreover, the forecast obtained from the analysis shows that the gas demand will increase rapidly in future. This research thus concludes that gas demand cannot possibly be controlled by price management and also emphasizes on strengthening the supply side to meet the growing gas demand in the near future.
Keywords
demand forecasting; econometrics; economic indicators; natural gas technology; power generation economics; pricing; statistical testing; thermal power stations; Bangladesh; econometric modeling; economic variable; fossil fuel; gas demand pattern; gas price; gas reserve; indigenous resource; natural gas demand forecasting; per capita gross domestic product; power generation; power sector; statistical test; Econometrics; Economic indicators; Elasticity; Mathematical model; Natural gas; Predictive models; Demand modeling; Econometric method; Forecast; Natural gas; Price elasticity;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2011 - 2011 IEEE Region 10 Conference
Conference_Location
Bali
ISSN
2159-3442
Print_ISBN
978-1-4577-0256-3
Type
conf
DOI
10.1109/TENCON.2011.6129035
Filename
6129035
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