دانلود مقاله ISI انگلیسی شماره 49246
ترجمه فارسی عنوان مقاله

در مورد پتانسیل های اقتصادی جهانی و هزینه های نهایی منابع غیر قابل تجدید و قیمت کالاهای انرژی

عنوان انگلیسی
On the global economic potentials and marginal costs of non-renewable resources and the price of energy commodities
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
49246 2013 15 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Energy Policy, Volume 63, December 2013, Pages 469–483

ترجمه کلمات کلیدی
پیش بینی قیمت انرژی ؛ کاهش سوخت های فسیلی؛ مدل سازی سیستم های انرژی
کلمات کلیدی انگلیسی
Energy price forecasting; Fossil fuel depletion; Energy systems modelling
پیش نمایش مقاله
پیش نمایش مقاله  در مورد پتانسیل های اقتصادی جهانی و هزینه های نهایی منابع غیر قابل تجدید و قیمت کالاهای انرژی

چکیده انگلیسی

A model is presented in this work for simulating endogenously the evolution of the marginal costs of production of energy carriers from non-renewable resources, their consumption, depletion pathways and timescales. Such marginal costs can be used to simulate the long term average price formation of energy commodities. Drawing on previous work where a global database of energy resource economic potentials was constructed, this work uses cost distributions of non-renewable resources in order to evaluate global flows of energy commodities. A mathematical framework is given to calculate endogenous flows of energy resources given an exogenous commodity price path. This framework can be used in reverse in order to calculate an endogenous marginal cost of production of energy carriers given an exogenous carrier demand. Using rigid price inelastic assumptions independent of the economy, these two approaches generate limiting scenarios that depict extreme use of natural resources. This is useful to characterise the current state and possible uses of remaining non-renewable resources such as fossil fuels and natural uranium. The theory is however designed for use within economic or technology models that allow technology substitutions. In this work, it is implemented in the global power sector model FTT:Power. Policy implications are given.