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Modeling an aggressive energy-efficiency scenario in long-range load forecasting for electric power transmission planning

机译:在远距离负荷预测中为电力传输规划建模积极的能效方案

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摘要

Improving the representation of end-use energy efficiency, and of the effects of policies and programs to promote it, is an emergent priority for electricity load forecasting models and methods. This paper describes a "hybrid" load forecasting approach combining econometric and technological elements that is designed to meet this need, in a novel application to long-run electric power transmission planning in the western United States. A twenty-year load forecast incorporating significant increases in energy-efficiency programs and policies across multiple locations was developed in order to assess the potential of efficiency to reduce load growth and requirements for expanded transmission capacity. Load forecasting and transmission planning background is summarized, the theoretical and empirical aspects of the hybrid methodology described, and the assumptions, structure, data development, and results of the aggressive efficiency scenario are presented. The analysis shows that substantial electricity savings are possible in this scenario in most residential and commercial end-uses, and in the industrial sector, with magnitudes depending upon the specific end-use as well as upon the geographic location of the utility or other entity providing the electricity.
机译:对于电力负荷预测模型和方法而言,提高最终用途能效的代表性以及促进提高能效的政策和计划的效果是当务之急。本文介绍了一种将计量经济学和技术要素相结合的“混合”负荷预测方法,该方法旨在满足这一需求,并将其新颖地应用于美国西部的长期电力传输规划中。制定了一项为期二十年的负荷预测,其中包括跨多个地点的能源效率计划和政策的显着提高,以便评估降低负荷增长的效率潜力和对扩大传输容量的需求。总结了负荷预测和传输计划的背景,描述了混合方法的理论和经验方面,并提出了积极效率情景的假设,结构,数据开发和结果。分析表明,在这种情况下,对于大多数住宅和商业最终用途以及工业部门,可以节省大量电,具体幅度取决于特定的最终用途以及公用事业或其他提供电力的实体的地理位置电力。

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