Energy models for commercial energy prediction and substitution of renewable energy sources
Energy models for commercial energy prediction and substitution of renewable energy sources
复制标题
DOI：
10.1016/j.enpol.2004.11.017
复制
发表时间：
2006-11-01
期刊：
影响因子：
9
通讯作者：
Samuel, Arland A.
中科院分区：
文献类型：
--
作者：
Iniyan, S.;Suganthi, L.;Samuel, Arland A.
本文提出了三个模型，即修正计量经济数学模型(MEM)、数学规划能源-经济-环境(MPEEE)模型和最优可再生能源数学模型(OREEM)。利用基于经济、技术和环境因素的MEM模型对煤炭、石油和电力的实际需求进行了预测。结果被用于MPEEE模型，该模型根据环境限制确定商业能源的最优配置。MEM模型的实际能源需求与MPEEE模型的最优能源使用之间的差距必须由可再生能源来满足。这项研究开发了一个Orem模型，该模型将根据成本、效率、社会接受度、可靠性、潜力和需求，促进印度有效利用可再生能源。利用Orem模型分析了太阳能系统的经济性变化和环境约束的影响。Orem模式将帮助政策制定者制定和实施印度未来20年的可再生能源战略。(C)2005爱思唯尔有限公司。保留所有权利。
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. (c) 2005 Elsevier Ltd. All rights reserved.