Estimating the Potential of Changes in Oil Price in IPCC Climate Scenarios: A System Dynamics Approach
Publish place: Journal of Systems Thinking in Practice، Vol: 3، Issue: 1
Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JSTINP-3-1_004
تاریخ نمایه سازی: 11 فروردین 1403
Abstract:
This paper uses the system dynamics approach to model the changes in oil price prospects in the framework of the shared socio-economic pathways (SSP) climate scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC) until ۲۱۰۰. This theoretical structure connects the primary feedback mechanisms: supply, demand, and price. The determining factors of most tremendous significance in the supply sector are the Organisation of Petroleum Exporting Countries (OPEC) and non-OPEC production levels. The production targets set by OPEC are indicative of its market management policies and are significantly influenced by the actions of its key members. The oil price indicates a cyclical relationship with the oil supply of significant players. The determination of global oil demand in the demand section is based on various climate scenarios presented in the IPCC report. The fluctuation of Brent oil prices over time can be linked to the disparity between supply and demand. According to the model outcomes, the price of oil will be projected to decline to ۲۰ per barrel by the year ۲۱۰۰ if the sustainability policies outlined in the SSP۱ framework are implemented. However, in the alternative scenarios of SSP۳, characterized by regional competition, and SSP۴, characterized by heightened inequality and competition, oil prices are anticipated to rise to ۱۰۰ per barrel. In the context of the SSP۵ scenario, which posits a path of economic and social development reliant on the consumption of fossil fuels, the price of oil displays a declining pattern after a period of relatively higher prices. The peak oil prices within the Intergovernmental Panel on Climate Change (IPCC) scenarios exhibit significant variation based on their Representative Concentration Pathways (RCPs).
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Authors
Kian Ebtekar
Department of Energy Engineering, Sharif University of Tehran, Tehran, Iran.
Hossein Khajehpour
Department of Energy Engineering, Sharif University of Tehran, Tehran, Iran.
Abbas Maleki
Department of Energy Engineering, Sharif University of Tehran, Tehran, Iran.