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

Emad Rabiei Hosseinabad, R. Moraga
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引用次数: 11

Abstract

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.
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能源依赖减少中可再生能源预测模型的评估:系统动力学方法
由于过去几十年来能源需求的增长,供应能源已成为发达国家最关心的问题之一。利用可用的可再生能源资源被认为是一个可靠的指标,可以减少各国对能源的依赖,并确保未来能源需求的供应。在本文中,利用系统动力学方法来说明电力/能源消耗、作为推广计划的可再生能源和能源对进口资源的依赖之间的相互关系。为了说明可再生能源利用对减少能源依赖的好处,开发了三种不同的情景,并将其应用于美国伊利诺伊州,以分析从外部来源进口能源的减少。计算机模拟结果表明,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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Applied Management Science
International Journal of Applied Management Science Business, Management and Accounting-Strategy and Management
CiteScore
1.20
自引率
0.00%
发文量
21
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