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Estimating energy and exergy production and consumption values using three different genetic algorithm approaches. Part 2: Application and scenarios

机译:使用三种不同的遗传算法方法估算能源和火用生产和消耗值。第2部分:应用程序和场景

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摘要

The main objective of the present study is to investigate the application of the genetic algorithm (GA) method with various scenarios for the future estimation of the energy and exergy production and consumption values. The methodology developed and presented in detail in Part 1 of this study was applied to Turkey's energy and exergy utilization values. Good correlations were obtained in all cases, indicating the validity of the models proposed that can be used to estimate total energy and exergy production and consumption of Turkey for the period of 2000 - 2020. It may be concluded that the models reported here will provide the investigators with knowledge about how a country can model its natural resources in terms of energy and exergy utilizations.
机译:本研究的主要目的是研究遗传算法(GA)方法在各种情景下的应用,以便将来估算能源和火用的生产和消费价值。在本研究的第1部分中开发并详细介绍的方法已应用于土耳其的能源和火用利用率值。在所有情况下均获得了良好的相关性,表明所提出的模型可用于估算2000年至2020年期间土耳其的总能源和火用生产和消费。可以得出结论,此处报告的模型将提供调查人员了解一个国家如何在能源和火用利用方面模拟其自然资源。

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