Cube-based sunlight system design – A joint optimization model for installation and allocation under stochastic environments

IF 9.9 1区工程技术 Q1 ENERGY & FUELS

Energy Conversion and Management Pub Date : 2025-05-10 DOI:10.1016/j.enconman.2025.119882

Le Duc Dao , Kung-Jeng Wang

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引用次数: 0

Abstract

Cube-based sunlight systems are emerging as a sustainable energy conservation method in green buildings, yet determining their optimal installation and light allocation under variable outdoor sunlight and indoor energy needs remains a key challenge. This study aimed to develop a comprehensive approach for seeking the joint optimal system configuration that effectively balances maker and user objectives. A bi-layer optimization model was developed for concurrent installation (upper layer) and operational sunlight delivery (lower layer) planning, solved using a genetic algorithm hybridized with linear programming and shortest path methods leveraging information exchange. The study successfully provides a solution for determining optimal configurations and demonstrated that the proposed SAA algorithm outperformed NSGA II in all cases by suggesting a larger coverage of the Pareto front curve. The core contribution of this work lies in establishing this joint optimal system configuration method for sunlight cube installation and associated light delivery route planning.

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基于立方体的阳光系统设计——随机环境下安装与配置的联合优化模型

基于立方体的阳光系统正在成为绿色建筑中的一种可持续节能方法，但在室外阳光和室内能源需求变化的情况下，确定其最佳安装和光线分配仍然是一个关键挑战。本研究旨在发展一种综合的方法，以寻求有效平衡制造商和用户目标的联合最优系统配置。建立了并行安装（上层）和运行阳光输送（下层）规划的双层优化模型，利用遗传算法、线性规划和利用信息交换的最短路径方法进行求解。该研究成功地提供了确定最优配置的解决方案，并证明了所提出的SAA算法在所有情况下都优于NSGA II，并建议更大的Pareto前曲线覆盖范围。本工作的核心贡献在于建立了日光立方体安装的联合最优系统配置方法以及相应的光传输路径规划。

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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来源期刊

Energy Conversion and Management 工程技术-力学

CiteScore

19.00

自引率

11.50%

发文量

1304

审稿时长

17 days

期刊介绍： The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics. The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.