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首页> 外文期刊>Architectural science review >User-driven automation for optimal thermal-zone layout during space programming phases
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User-driven automation for optimal thermal-zone layout during space programming phases

机译：用户驱动的自动化，可在空间编程阶段优化热区布局

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Although environmental performance-based methodologies are increasingly considered in the early design stages due to their potential for improving the final building performance, few studies have scrutinized the interoperation of floor-plan design and thermal zoning for the purpose of optimized building energy use and indoor comfort. The absence of effective tools, which aid designers incorporate an environmentally adapted thermal zoning into the space arrangement process, invokes the strong necessity for a new space layout design methodology based on optimal thermal zoning. Thus, this paper presents a highly practical decision support tool named EASL (Environmental Architecture Space Layout) optimizer to bridge the gap between thermal and spatial zoning within architectural workflows. In this software, performance evaluation using the whole building simulation tool (Ecotect) and zone-based layout creation techniques is integrated for the automated generation of an optimal geometry of space and envelope glazing, employing a simulated annealing algorithm. As a beta version, EASL uses typical office building space programmes and adopts four major performance criteria for evaluation such as annual energy use intensity, Predicted Mean Vote, daylight level, and room shading. Utilizing the tool provides two major strengths: (1) by introducing performance indicators to floor planning with an easy-to-use computerized interface during early design stages, architects can maximize the potential use of other sustainable strategies and technologies for later design decisions and (2) a time-efficient thermal zoning optimization process is achieved by exploring various scenarios that users are interested in testing. To this end, a case study was conducted of an office building located in South Korea using the developed simulation tool. The existing plan was tested to be rearranged and compared with the optimal layout obtained from EASL. The experimental findings demonstrate that this software can be implemented in practical operations, advancing early processes of design work, and be extended to embrace broader future applications to promote innovative environmental buildings.
机译：尽管基于环境性能的方法因其具有改善最终建筑性能的潜力而在设计的早期阶段得到越来越多的考虑，但很少有研究仔细研究了平面图设计和热分区的相互影响，以优化建筑能耗和室内舒适度。 。缺乏有效的工具来帮助设计人员将适应环境的热分区纳入空间布置过程，这强烈要求基于最佳热分区的新空间布局设计方法论。因此，本文提出了一种名为EASL（环境建筑空间布局）优化器的高度实用的决策支持工具，以弥合建筑工作流中热分区和空间分区之间的差距。在该软件中，使用模拟退火算法，集成了使用整个建筑模拟工具（Ecotect）和基于区域的布局创建技术进行的性能评估，可自动生成最佳的空间和包络玻璃几何形状。作为Beta版本，EASL使用典型的办公楼空间计划，并采用四个主要性能标准进行评估，例如年度能源使用强度，预测的平均投票，日光水平和房间阴影。利用该工具有两个主要优势：（1）在设计初期，通过使用易于使用的计算机界面将性能指标引入平面图，建筑师可以最大程度地利用其他可持续性战略和技术来进行后期设计决策；以及（ 2）通过探索用户感兴趣的各种场景来实现省时的热分区优化过程。为此，使用开发的模拟工具对位于韩国的一栋办公楼进行了案例研究。测试了现有计划是否可以重新安排，并与从EASL获得的最佳布局进行比较。实验结果表明，该软件可以在实际操作中实施，从而推进设计工作的早期过程，并且可以扩展以包含更广泛的未来应用，以促进创新型环境建筑。

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