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Solar Concentrator Layout Optimization: Metaheuristic Method Solution

Kung-Jeng Wang and Le Duc Dao
Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106, Taiwan, ROC

Abstract—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, parallel-computing 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.

Index Terms—genetic algorithm, multiple-objective optimization, solar concentrator layout

Cite: Kung-Jeng Wang and Le Duc Dao, "Solar Concentrator Layout Optimization: Metaheuristic Method Solution," International Journal of Electrical Energy, Vol. 6, No. 2, pp. 88-91, December 2018. doi: 10.18178/ijoee.6.2.88-91

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