太阳能聚光器布局优化:元启发式求解

Kung-Jeng Wang, Le Duc Dao
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引用次数: 0

摘要

太阳能是一个很有潜力的项目,因为它不仅可以保护环境,而且可以为人们的日常生活提供电力,如取暖或照明。本文重点研究了自然节光系统——太阳能聚光器的布置。在我们的论文中,我们的目标是在实施太阳能布局时为公司带来最佳利润,并帮助房屋获得尽可能多的阳光效率。为了提高模型的可靠性,我们还考虑了光反射和光透射损失等因素。在经济规模方面,为了使我们的研究更接近现实,我们增加了一些约束条件,比如聚光器的厚度,或者太阳光进入主面板以实现能量传输的出口数量。为了使房子亮度高,公司会损害他们的利润。本研究使冲突目标之间的平衡得到一个折衷的解决方案。最后,引入了基于并行计算的遗传算法来提高求解质量。总之,我们的研究结果将是最好的策略,为人们提供光的效率和公司赚取的利润的工作。
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Solar Concentrator Layout Optimization: Metaheuristic Method Solution
Solar energy is a potential project because it not only protects the environment, but also reserves the power for people to use in their daily life such as heating or lighting. This paper focuses on the natural sunlight saving system named solar concentrator layout. In our paper, we aim to bring the optimal profit for the firm when implementing the solar layout as well as helping a house get as much sunlight efficiency as possible for their using. We also consider some factors such as light reflection and light transmission loss to make the model more reliable. As for the economic scale, some constraints are added to make our study close to reality, such as the thickness of concentrator or the number of exits where a sunbeam is delivered to the main panel to enable energy transmission. To obtain a high brightness for the house, the firm would harm their profit. This study makes the balance between the conflict objectives to get a compromised solution. Finally, parallelcomputing based genetic algorithm is introduced to accelerate the solution quality. To summarize, the result of our study will be the best strategy for the light efficiency to supply people and the profits that the firm earns for the job. 
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