دانلود مقاله ISI انگلیسی شماره 40468
عنوان فارسی مقاله

اثرات ارزیابی فرضیات برون زایی در پیش بینی های انتشار گازهای گلخانه ای - یک مطالعه سناریو 2020 برای استفاده پرتغال از مدل بار فن آوری انرژی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
40468 2015 15 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Assessing effects of exogenous assumptions in GHG emissions forecasts – a 2020 scenario study for Portugal using the Times energy technology model
منبع

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

Journal : Technological Forecasting and Social Change, Volume 94, May 2015, Pages 221–235

کلمات کلیدی
تردید - پیش بینی گازهای گلخانه ای - سناریوهای سیاست - سیاست آب و هوا - سیاست انرژی
پیش نمایش مقاله
پیش نمایش مقاله اثرات ارزیابی فرضیات برون زایی در پیش بینی های انتشار گازهای گلخانه ای - یک مطالعه سناریو 2020 برای استفاده پرتغال از مدل بار فن آوری انرژی

چکیده انگلیسی

Energy-economy-environment models are fundamental in developing realistic cost-effective climate policy. However, such models by necessity are simplified based on assumptions which co-determine the outcomes of scenario modelling. Major assumptions relate to demographic and economic development, technology evolution and deployment and policy decisions. The core of this analysis is to quantify how specific assumptions influence the outcomes of scenarios; not taking them together as usually in the literature but instead looking into them apiece. The TIMES modelling framework is broadly used for climate policy support and here we used the Portuguese version as an example. As the structure of TIMES modelling is similar in other countries and also for larger aggregates as the EU and the World, the method can be applied there quite directly, although outcomes will differ between countries due to differences in energy technologies and energy markets. The outcomes for the Portugal Baseline scenario using TIMES_PT show the relevance of this exercise in this sensitivity analysis on assumptions. Contrary to what might be expected, varying assumptions on the availability and price of energy resources lead to minor variations on GHG emissions in the modelling outcomes, less than 2% of the Baseline scenario emissions in 2020. The more relevant assumptions to overall uncertainty are related to socio-economic development, followed by assumptions on technology deployment. This detailed uncertainty analysis on assumptions helps to assess the robustness of modelling outcomes in the TIMES model framework, next to other aspects like model structure and validity.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.