太陽能在各種再生能源中被認為是保護環境及實現持續能源最有利的選擇之一。然而，建築物和光線變化的隨機光需求增加了安裝太陽能系統和光線傳輸的困難度。本論文提出稜鏡基底太陽能聚光系統的最佳化配置模型，以收集光線並滿足照明需求。文中提出一個雙層隨機最佳化模型，模型的上層藉由協調稜鏡配置設計和光線分配，使能源供應商的利潤最大化。下層以促進用戶最小化支出。該模型採用非排序基因演算法求解，同時確定最佳的稜鏡安裝和光線傳輸路徑。本研究的貢獻和新穎性，在於對稜鏡基底太陽能聚光系統提出光線稜鏡安裝和光線輸送計畫的聯合最佳化系統設計。本模型解決了在建築物中安裝太陽能聚光系統與針對隨機光需求時安排光傳輸的困難度。

Solar energy is considered as one of the most propitious alternatives among various renewable resources to preserve the environment and attain sustainable energy. However, Stochastic light demand in a building and sunlight variations increases the difficulties of installing a solar system and the light transmission. This dissertation proposes the optimal allocation model for solar concentrator system to collect sunlight and satisfy lighting. A bi-layer stochastic optimization model is presented where the upper layer will maximize the profit of the energy provider by coordinating the prism allocation design and sunlight assignment. The lower layer can facilitate an affordable budget for the light user to minimize the expenditure. The model is solved using a non-sorting genetic algorithm to simultaneously determine the optimal prism installation and light transmission route. The contribution and novelty of this study pivots on proposing the joint optimal system design for the solar concentrator installation and sunlight delivery plans for solar concentrator systems. The present model resolved the difficulties of installing solar concentrator systems and scheduling the light transmission against stochastic light demand in a building.

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