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The evaluation of renewable energy predictive modelling in energy dependency reduction: a system dynamics approach

机译:减少能源依赖中的可再生能源预测模型的评估:系统动力学方法

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摘要

Supplying energy has become one of the biggest concerns of developed countries due to the growing energy needs in the last decades. Utilising available renewable energy resources has been characterised as a reliable indicator, to reduce energy dependency in countries as well as securing the supplying of energy-based needs in the future. In this paper, a system dynamics approach has been utilised to illustrate the interrelationships between electricity/energy consumption, renewable energy resources as promotion plans, and energy dependency on imported resources. In order to illustrate benefits of renewable energy utilisation on reducing energy dependency, three different scenarios were developed and applied to the state of Illinois in the US to analyse the decrease in imported energy resources from external sources. The results of a computer simulation indicated that about 17 billion dollars can be saved by 2025 by reducing electricity/energy imports by implementing complete renewable energy action plans.
机译:由于近几十年来能源需求的增长,能源供应已成为发达国家最关注的问题之一。利用现有的可再生能源一直被认为是可靠的指标,可以减少各国对能源的依赖,并确保将来满足能源需求。在本文中,系统动力学方法已被用来说明电力/能源消耗,可再生能源作为促进计划以及对进口资源的能源依赖性之间的相互关系。为了说明可再生能源利用对降低能源依赖性的益处,开发了三种不同的方案并将其应用于美国伊利诺伊州,以分析从外部来源进口的能源的减少。计算机模拟的结果表明,到2025年,通过实施完整的可再生能源行动计划,减少电力/能源进口可以节省约170亿美元。

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