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Energy models for commercial energy prediction and substitution of renewable energy sources

机译：用于商业能源预测和可再生能源替代的能源模型

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In this paper, three models have been projected namely Modified Econometric Mathematical (MEM) model, Mathematical Programming Energy-Economy-Environment (MPEEE) model, and Optimal Renewable Energy Mathematical (OREM) model. The actual demand for coal, oil and electricity is predicted using the MEM model based on economic, technological and environmental factors. The results were used in the MPEEE model, which determines the optimum allocation of commercial energy sources based on environmental limitations. The gap between the actual energy demand from the MEM model and optimal energy use from the MPEEE model, has to be met by the renewable energy sources. The study develops an OREM model that would facilitate effective utilization of renewable energy sources in India, based on cost, efficiency, social acceptance, reliability, potential and demand. The economic variations in solar energy systems and inclusion of environmental constraint are also analyzed with OREM model. The OREM model will help policy makers in the formulation and implementation of strategies concerning renewable energy sources in India for the next two decades.
机译：本文提出了三种模型，分别是修正计量经济数学（MEM）模型，数学规划能源经济环境（MPEEE）模型和最佳可再生能源数学（OREM）模型。基于经济，技术和环境因素的MEM模型可预测煤炭，石油和电力的实际需求。结果用于MPEEE模型，该模型根据环境限制确定商业能源的最佳分配。 MEM模型的实际能源需求与MPEEE模型的最佳能源使用之间的差距必须由可再生能源来解决。该研究基于成本，效率，社会认可度，可靠性，潜力和需求，开发了一个OREM模型，该模型将促进印度可再生能源的有效利用。还使用OREM模型分析了太阳能系统的经济变化和环境约束的纳入。 OREM模型将在未来二十年内帮助决策者制定和实施有关印度可再生能源的战略。

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