Implementation of environmental decision making tool for renewable energy utilization: A case of wind and solar

M. Musau, N. Odero, C. Wekesa
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引用次数: 3

Abstract

In this paper, an Environmental Decision Making Tool with Renewable Energy (EDMTRE) is proposed with the resources cost as constraints. Modifed ReCiPe Version 1.3 Model is adopted to represent the midpoint indicators. A three-method hybrid; Modified Firefly Algorithm with Levy Flights and Derived Mutation (MFA-LF-DM) with parameters brightness, distance, attractiveness, movement, randomness reduction and mutation is used to validate the EDMTRE on IEEE 30-unit system. The levy flights reduce the random movement of the objective function while the derived mutations are improve the exploration of the candidate solution. The uncertainties and variability of the renewable sources are modelled using Structural Path Analysis (SPA). The results are analyzed under optimal emissions, health and ecosystems end points. From the simulated mid-point indicators, it is apparent that the deployment of RE results in more accurate environmental emissions when the resource cost is constrained. Further, the effects of PV technology to the environment are four times more adverse compared to wind.
可再生能源利用环境决策工具的实施:以风能和太阳能为例
本文提出了一种以资源成本为约束条件的可再生能源环境决策工具。采用修正配方1.3版模型表示中点指标。三种方法的混合;采用带有亮度、距离、吸引力、运动、随机约简和突变等参数的Levy飞行和衍生突变的改进萤火虫算法(MFA-LF-DM)在IEEE 30单元系统上对EDMTRE进行了验证。levy飞行减少了目标函数的随机运动,而衍生的突变则促进了候选解的探索。利用结构路径分析(SPA)对可再生能源的不确定性和可变性进行建模。在最优排放、健康和生态系统终点下对结果进行了分析。从模拟的中点指标可以看出,在资源成本受限的情况下,可再生能源的部署导致了更准确的环境排放。此外,光伏技术对环境的不利影响是风能的四倍。
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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