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Energy demand forecasts with investment constraints

机译:对投资限制的能源需求预测

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摘要

The energy sector in India claims 30% of the available investments. Moreover, oil import bills have the largest share among the total import bills. Thus, macro economic development and energy sector are highly interdependent. Where energy demand is forecasted without these linkages one cannot be sure if investments and imports required for energy sector will be available. The SImulation of MAcroeconomic scenarios (SIMA) model generates macroeconomically consistent energy scenarios from two interlinked submodels i.e. economic and energy submodels. The energy sector is a part of the non-agricultural sector but it is linked to both the agricultural and the non-agricultural sectors. These three sectors compete with each other for the available capital. In a two-step procedure, various energy economy relations are econometrically estimated and then these are solved simultaneously by feeding in the exogenous parameters (population, oil prices, etc.). The scenarios created correspond to 1991-2010. They are the Dynamics As Usual and the High Oil Price scenarios with capital required for phasing in the electricity sector. Energy-related emission levels for pollutants such as CO2, NOx and SO2 emissions are also calculated for each scenario.
机译:印度的能源部门声称30%的可用投资。此外,石油进口票据在进口总额中最大的股票。因此,宏观经济发展和能源部门具有高度相互依赖的。如果没有这些联系,预测能量需求的地方,就无法确定能源部门所需的投资和进口。宏观经济方案(SIMA)模型的仿真从两个相互关联的子模型产生宏观重点一致的能量方案,即经济和能源子模型。能源部门是非农业部门的一部分,但它与农业和非农业部门相连。这三个部门互相竞争可用资本。在一个两步的过程中,经济估计各种能量经济关系,然后通过在外源参数(人口,油价等)中同时解决这些能量关系。创建的场景对应于1991 - 2010年。它们是通常的动态和高油价情景,具有在电力部门逐步相位所需的资本。对于每种情况,还计算了CO 2,NOx和SO2排放等污染物的能量相关的发射水平。

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